The present invention relates to a method for predictive maintenance of a cylinder using a pressure difference, wherein a pressure difference between the internal pressure of the cylinder and the internal pressure of a main pipe for supplying the cylinder with a hydraulic pressure or pneumatic pressure supplied from a conventional pressure device is detected in an operating range in which the cylinder's rod moves forwards and backwards, thereby collecting pressure difference waveforms regarding the operating range, a threshold is set on the basis of the collected waveform information, and if the pressure difference waveform collected from the cylinder which operates in real time deviates from the threshold, a warning is issued regarding a suspicious abnormal symptom of the cylinder, such that the cylinder can be repaired and replaced at an appropriate time, thereby preventing a substantial loss which would otherwise occur if the cylinder fails.
F15B 20/00 - Safety arrangements for fluid actuator systems; Applications of safety devices in fluid actuator systems; Emergency measures for fluid actuator systems
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
F15B 11/06 - Servomotor systems without provision for follow-up action involving features specific to the use of a compressible medium, e.g. air, steam
F15B 9/02 - Servomotors with follow-up action, i.e. in which the position of the actuated member conforms with that of the controlling member with servomotors of the reciprocatable or oscillatable type
2.
METHOD FOR PREDICTIVE MAINTENANCE OF CYLINDER USING PRESSURE DIFFERENCE
The present invention relates to a method for predictive maintenance of a cylinder using a pressure difference, wherein a pressure difference between the internal pressure of the cylinder and the internal pressure of a main pipe for supplying the cylinder with a hydraulic pressure or pneumatic pressure supplied from a conventional pressure device is detected in an operating range in which the cylinder's rod moves forwards and backwards, thereby collecting pressure difference waveforms regarding the operating range, a steady-state model waveform is constructed on the basis of the collected pressure difference information, a matching threshold regarding the constructed steady-state model waveform is then set, and if the detected matching ratio between the pressure difference waveform collected from the cylinder which operates in real time and the steady-state model waveform is below a matching threshold, the cylinder is recognized as being in an abnormal state, and a warning is issued regarding same such that the cylinder can be repaired and replaced at an appropriate time, thereby preventing a substantial loss which would otherwise occur if the cylinder fails.
F15B 20/00 - Safety arrangements for fluid actuator systems; Applications of safety devices in fluid actuator systems; Emergency measures for fluid actuator systems
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
F15B 11/06 - Servomotor systems without provision for follow-up action involving features specific to the use of a compressible medium, e.g. air, steam
F15B 9/02 - Servomotors with follow-up action, i.e. in which the position of the actuated member conforms with that of the controlling member with servomotors of the reciprocatable or oscillatable type
3.
METHOD FOR PREDICTIVE MAINTENANCE OF CYLINDER USING DIFFERENTIAL PRESSURE
The present invention relates to a method for predictive maintenance of a cylinder using differential pressure, wherein: the differential pressure between the internal pressure of a cylinder and the internal pressure of a main pipe, which supplies hydraulic or pneumatic pressure from a conventional pressure device to the cylinder, is detected in an operation section, in which the rod of the cylinder moves forward and backward, to collect a differential pressure waveform for the operation section; a threshold value is set on the basis of information about the collected waveform; and then when the differential pressure waveform collected from the cylinder operating in real time exceeds the threshold value and thus the cylinder is suspected to be abnormal, an alarm is triggered to induce timely maintenance and replacement of the cylinder, thereby preventing enormous losses due to cylinder malfunction.
F15B 20/00 - Safety arrangements for fluid actuator systems; Applications of safety devices in fluid actuator systems; Emergency measures for fluid actuator systems
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
F15B 11/06 - Servomotor systems without provision for follow-up action involving features specific to the use of a compressible medium, e.g. air, steam
F15B 9/02 - Servomotors with follow-up action, i.e. in which the position of the actuated member conforms with that of the controlling member with servomotors of the reciprocatable or oscillatable type
4.
CYLINDER PREDICTIVE MAINTENANCE METHOD USING DIFFERENTIAL PRESSURE
The present invention relates to a cylinder predictive maintenance method using differential pressure, the method comprising: collecting a differential pressure waveform of an operating interval, in which a cylinder rod advances and retreats, by detecting the difference between the internal pressure of a cylinder and the internal pressure of a main pipe for supplying, to the cylinder, hydraulic pressure or pneumatic pressure supplied from a common pressure device during the operating interval; and setting a threshold value on the basis of the collected waveform information, and then issuing an alert when the differential pressure waveform collected from the cylinder operating in real time deviates from the threshold value and an anomaly of the cylinder is suspected, so that repair and replacement of the cylinder are induced at the proper time such that enormous loss caused by the breakdown of the cylinder can be prevented.
F15B 20/00 - Safety arrangements for fluid actuator systems; Applications of safety devices in fluid actuator systems; Emergency measures for fluid actuator systems
F15B 19/00 - Testing fluid-pressure actuator systems or apparatus, so far as not provided for elsewhere
F15B 11/06 - Servomotor systems without provision for follow-up action involving features specific to the use of a compressible medium, e.g. air, steam
F15B 9/02 - Servomotors with follow-up action, i.e. in which the position of the actuated member conforms with that of the controlling member with servomotors of the reciprocatable or oscillatable type
5.
SMART MOTOR CONTROL CENTER WITH PREDICTIVE MAINTENANCE FUNCTION
The present invention relates to a motor control center having a compact structure, which is capable of performing predictive maintenance for a motor connected to the motor control center by having, integrally formed with the motor control center in order to detect the operation state of the motor in real time: a current measurement module which measures a current flowing in a power supply line for supplying power from the motor control center to the motor; a detection server which detects the state of the motor on the basis of the measurement information of the current measurement module; and an image output module which outputs and provides the detection information of the detection server in the form of an image.
The present invention relates to a smart door lock having a security function, the security function detecting, by means of a detection unit, the duration and time of an outsider lingering unnecessarily in front of a door equipped with a digital door lock, thereby allowing a user to be aware of an outsider having unnecessarily lingered before entering the house, and allowing preemptive prevention any harm that could result from a user getting exposed to a criminal incident.
The present invention relates to a predictive maintenance method, for a device, using a GAN algorithm, the method in which a decision module learns a large amount of normal image information, which is collected when the device is in a normal state, and a large amount of quasi-defect image information which is generated by a generation module on the basis of defect image information collected from the device before a malfunction occurs, thereby deciding whether real-time image information, which is collected from the device operating in real time, is a normal image or a defect image. If the real-time image information is decided to be a defect image, the method detects the abnormal state of the device and provides a guide to perform maintenance and replacement of the device at an appropriate time, thereby preventing huge losses due to a malfunction of the device.
The present invention builds a soundness index reference table on the basis of a soundness reference value set on the basis of information, about changes in the magnitude of current of three-phase power sources, collected from a normal device and a defect reference value set on the basis of information, about changes in the magnitude of currents of three-phase power sources, collected from a device before the occurrence of a failure, repeatedly extracts peak values from R, S, and T wires, which are three-phase power sources of a device being driven in real time, at random points in time or at regular time intervals or unit time intervals, applies the extracted peak values to the soundness index reference table to output a soundness index value representing the soundness of the device in real time, and provides the soundness index value to a manager.
The present invention relates to a method for predictive maintenance of equipment using a three-phase longitudinal peak, which: repeatedly extracts a peak value from an R power line, an S power line, and a T power line, which are three-phase power sources for equipment driven in real time, at random points in time, regular time intervals, or unit time intervals, from among current values of each of the R power line, the S power line, and the T power line at points in the same time zone, the greatest current value being extracted as a peak value; and if the extracted peak value exceeds a threshold value, by inducing maintenance and replacement of the equipment so as to be performed at an appropriate time by giving an alarm, prevents huge loss due to a failure of the equipment in advance and at the same time, extracts, from all of the R power line, the S power line, and the T power line that are the three-phase power sources, peak values at which abnormal symptoms of the equipment can be detected. Accordingly, even if an abnormal symptom, which occurs in equipment before a failure, appears on any one power line, the abnormal symptom can be highly effectively detected, and thus, the highly superior reliability of detection of an abnormal symptom in equipment can be secured.
The present invention relates to a method for detecting a soundness index of a device by using three-phase longitudinal peaks, wherein, after a soundness index reference table is established on the basis of a soundness reference value set on the basis of change information about the magnitude of a current of three-phase power, which is collected from a normal device, and a defect reference value set on the basis of change information about the magnitude of a current of the three-phase power, which is collected from a device before a failure occurred, peak values are repeatedly extracted at unit time intervals, at random time points, or at regular time intervals from an R wire, an S wire, and a T wire, which constitute three-phase power of a device being driven in real time, and the extracted peak values are applied to the soundness index reference table to output a soundness index value indicating the soundness of the device in real time and to provide the soundness index value to a manager, such that the manager can clearly recognize real-time soundness of the device through the soundness index value and can independently establish plans for device inspection or management, and accordingly, by performing the overall management of the device very actively and stably, safety accidents and financial losses due to a sudden failure of the device can be significantly reduced.
The present invention comprises repeatedly extracting peak values at unit time intervals, at random points in time, or at regular time intervals from wire R, wire S, and wire T which are three-phase power sources of equipment operating in real time, wherein a largest current value is extracted as the peak value from among respective current values of wire R, wire S, and wire T at the same point in the time slot, and if the extracted peak value exceeds a threshold value, an alarm is issued to induce maintenance and replacement of equipment at an appropriate time.
G01R 19/04 - Measuring peak values of ac or of pulses
G01R 19/30 - Measuring the maximum or the minimum value of current or voltage reached in a time interval
G01R 29/027 - Indicating that a pulse characteristic is either above or below a predetermined value or within or beyond a predetermined range of values
G01R 19/165 - Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
12.
METHOD FOR PREDICTIVE MAINTENANCE OF EQUIPMENT BY USING ANGLES TO PEAK
The present invention relates to a method for predictive maintenance of equipment by using angles to a peak, the method comprising: extracting, on the basis of an energy waveform in which the amount of energy required for the equipment to perform a work process in an operating state varies over time, a peak point with the highest energy value along with a start point and an end point at which the energy waveform starts or ends; after detection of angles between a horizontal line, and a start connection line and an end connection line that connect the extracted points, setting critical angles for the respective detected angles; by comparing the angles between the horizontal line, and the start connection line and end connection line for the start point, the end point, and the peak point extracted from the energy waveform for the work process of the equipment in the real-time operating state, with the respective critical angles, alerting if a condition for a suspected abnormality of the equipment is satisfied, to induce maintenance and replacement of the equipment at an appropriate time.
The present invention relates to a method for testing product quality by using the angle of a peak, the method allowing a control unit to distinguish between and learn a waveform pattern collected during the manufacture of defective products and a waveform pattern collected during the manufacture of normal products, and allowing whether products being manufactured are defective to be detected on the basis of a real-time waveform measured during the manufacture of products in real time so that manufacture of a product is immediately stopped if the product is determined to be defective, and thus the wasting of time required for manufacturing products, time for the unecessary operation of high-priced devices, and manpower is prevented such that the economical management and production of devices and products can be induced.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
14.
METHOD FOR DETECTING INTEGRITY INDEX OF DEVICE THROUGH ANGLE WITH RESPECT TO PEAK
The present invention relates to a method for detecting an integrity index of a device through an angle with respect to a peak, the method comprising: extracting, from an energy waveform for a work process carried out by a device in a normal driving state and an abnormal driving state, a start point and a peak point which corresponds to the greatest energy value; mass-collecting information on the angle between a horizontal line and a start connection line which connects the extracted start point and peak point; on the basis of the collected angle information, setting integrity and defect reference angles for the angle between the horizontal line and the start connection line; and then detecting and providing, in real-time, an integrity index value indicating the integrity of the device by comparing, to the integrity and defect reference angles, the angle between the horizontal line and the start connection line, which is measured from the energy waveform for the work process which is repeatedly carried out in a state where the device is driving in real-time.
The present invention relates to a device predictive maintenance method using setting of the constant speed of a peak, comprising: an information collection step (S10) of measuring information in which the size of energy consumed when a device performs one work process in a driving state changes over time, and collecting the information by setting, as a peak value, a value having the largest energy size in the measured change information about the size of energy; a constant speed section collection step (S20) of arranging over time, on the basis of the information collected in the information collection step (S10), the peak value of each work process repeatedly performed by the device, and repeatedly setting and collecting peak constant speed sections of a fixed unit time on the basis of the arranged peak values; an average value collection step (S30) of repeatedly collecting average values for the peak values included in the peak constant speed sections; a critical value setting step (S40) of setting a critical value for the average values of the peak constant speed sections; and a detection step (S50) of repeatedly setting and collecting the peak constant speed sections of the fixed unit time on the basis of peak values for a work process repeatedly performed in the real-time driving state of the device, and inducing inspection management of the device by providing an alarm if the average value for the peak values included in the collected peak constant speed sections exceeds the peak critical value.
The present invention relates to a method for predictive maintenance of a device through constant-speed definition regarding time. The method may comprise an information collecting step, a constant-speed interval collecting step, an average value collecting step, a threshold value setting step, and a detecting step.
The present invention relates to a method for predictive maintenance of a device, using deep learning. The method may comprise a base information collection step, a conversion step, a training step, a construction step, a real-time measurement step, and a detection step.
The present invention relates to a method for preventive maintenance of a device through definition of a constant areal velocity, the method comprising: an information collection step (S10) of measuring information on an energy waveform indicating a change, according to passage of time, in the magnitude of energy required for a device to perform one working process in a driving state, wherein an area value acquired by integrating the measured energy waveform is collected; a constant velocity interval collection step (S20) of deploying, according to passage of time, an area value for an energy waveform of each working process repeatedly performed by the device, the area value being collected through the information collection step (S10), wherein a constant areal velocity interval of a predetermined unit time is repeatedly configured and collected on the basis of the deployed area value; an average value collection step (S30) of repeatedly collecting an average value of area values included in the constant areal velocity interval; a threshold configuration step (S40) of configuring an area threshold value for the average value in the constant areal velocity interval; and a detection step (S50) of repeatedly configuring and collecting a constant areal velocity interval of a predetermined unit time on the basis of an area value for an energy waveform of a working process repeatedly performed in a real-time driving state of the device, and inducing inspection management of the device if an average value of area values included in the collected constant areal velocity interval exceeds the area threshold value.
The present invention relates to a predictive maintenance method for equipment using deep learning, and may comprise: a base information collection step; a transformation step; a learning step; a construction step; a real-time measurement step; and a detection step.
The present application relates to a safety management system for a device through disturbance detection, the safety management system comprising: a disturbance sensing unit which senses a disturbance such as a voltage rise or a voltage drop instantaneously generated in an electric device operating by using electricity and transmits sensing information to a disturbance detection unit; the disturbance detection unit which detects only a substantial disturbance from the disturbance sensed by the disturbance sensing unit and transmits information about the detected disturbance to a disturbance output unit; and the disturbance output unit which outputs information about the disturbance detected by the disturbance detection unit as an image and provides the output image to a manager.
The present invention relates to a server rack predictive maintenance method comprising: an information collecting step (S10) of measuring and collecting the value of power consumed by a main wire for supplying power to a fan and pieces of equipment in a normal operating state of a server rack in which the internal temperature and humidity are maintained to be constant through the fan, which supplies air to the pieces of equipment provided in an internal space; an alarm setting step (S20) of setting the average current value of the server rack on the basis of the value of power collected in the information collecting step (S10), and then setting the alarm current value to be smaller than the set average current value; and a detecting step (S30) of detecting the server rack as an abnormal state when the value of power consumed by the main wire, having been measured in a real-time operating state of the server rack, is formed less than the alarm current value.
The present invention relates to a method for detecting a health index of a server rack and, more specifically, to a method for detecting a health index of a server rack, in which: a health index reference table is established via a health reference value, which is configured on the basis of information collected in a normal operating state of a server rack, and a failure reference value, which is configured on the basis of information collected in the server rack before a failure occurs; and then a health index value indicating the health of the server rack in real time is detected and provided to a manager, the health index value being detected by applying information collected in a real-time operating state of the server rack to the health index reference table, so that the manager can clearly recognize the real-time health of the server rack via the health index, autonomously make a plan for inspection or management of the server rack, and perform overall management of the server rack very proactively and stably, so as to significantly reduce safety accidents and enormous financial losses due to a sudden failure of the server rack.
The present invention relates to a multi-conveyor and logistics management system using load linkage, the multi-conveyor and logistics management system comprising: a load measurement unit for, in a conveyor line in which a plurality of conveyors are connected to each other to transfer articles, measuring and collecting loads generated by articles arranged on the conveyors; a detection unit for detecting the status of the articles being transferred through the conveyor line on the basis of measurement information of the load measurement unit, when a load is not detected because an article arranged on a conveyor is not transferred to another adjacent conveyor, generating an alarm through an alarm unit, and when a load is detected on a conveyor positioned at the end of the conveyor line, detecting that the article arranged on the conveyor line has been transferred; and the alarm unit that is controlled by the detection unit and alerts the surroundings to induce a quick inspection of the conveyor line.
B65G 43/00 - Control devices, e.g. for safety, warning or fault-correcting
B65G 37/00 - Combinations of mechanical conveyors of the same kind, or of different kinds, of interest apart from their application in particular machines or use in particular manufacturing processes
A purpose of the present invention is to provide a virtual monitoring management method for devices through motion tracking of the devices, whereby a management server, for receiving current waveform information of devices installed and operating at an industrial site, virtually implements the motion states of the devices into 2D/3D images on the basis of the current waveform information, and provides same to a manager, and thus the manager may determine the operation states of the devices while being precisely aware of the motion states of the devices, even without visiting the industrial site in person, and thus may very effectively manage the devices that are at the industrial site, and also, only the motion situation of the devices is implemented and provided through the virtual images, and thus surrounding factors (noise, persons, apparatuses, etc.) hindering the judgment of the manager may be eliminated, and the management server provides test result information derived by comparing the current waveforms of the devices with a recipe waveform, and thus the manager may determine the operation states of the devices with excellent reliability, and thus very effective operation management of the devices may be induced.
The present invention relates to a method for learning and detecting an abnormal part of a device through artificial intelligence, the method comprising: an information collection step (S10) for collecting a current waveform of a current value that changes over time in a driving state of at least one device and collecting information about a faulty part of the device, together with current waveform information before a fault occurs in the device; a model setting step (S20) for learning, by a control unit, information collected in the information collection step (S10) and setting a reference model of a current waveform for each faulty part of the device; and a detection step (S30) for, when an abnormal symptom of the device is detected in a real-time driving state, comparing, by the control unit, a real-time current waveform of the device and the reference model, and detecting and providing an abnormal part regarding the abnormal symptom of the device.
The present invention relates to a smart earth leakage circuit breaker which is installed on a distribution line through which an electric current flows, measures, by means of a CT, a leakage current flowing through the distribution line, and if the measured current exceeds a preset rated sensitivity current, cuts off electricity by means of trip operation. The smart earth leakage circuit breaker further comprises: a measurement unit which tracks and measures, on the basis of measurement information of the CT, a value of the leakage current, flowing through the distribution line, which exceeds an alarm current value set by a microprocessor (MPU); the MPU which sets conditionality and the alarm current value less than the rated sensitivity current, and which, when the conditionality is satisfied on the basis of information measured by the measurement unit, issues a warning by means of an alarm unit; and the alarm unit which is operated and controlled by the MPU and warns of an abnormal symptom of the distribution line by emitting an alarm to the surrounding area.
H02H 3/16 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to fault current to earth, frame or mass
G01R 31/50 - Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
G01R 15/18 - Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks using inductive devices, e.g. transformers
G01R 19/165 - Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
27.
METHOD OF PREDICTIVELY MAINTAINING EQUIPMENT BY MEANS OF DISTRIBUTION MAP
The present invention relates to method of predictively maintaining equipment by means of a distribution map, and more specifically to a method of predictively maintaining equipment by means of a distribution map, which can: extract a peak value on the basis of a change in the amount of energy required for the equipment to perform a working process in a normal state; generate the distribution map on the basis of the extracted peak value; and predictively detect, in advance, abnormalities of the equipment on the basis of a change in a distribution probability of a detection section having a low distribution probability and a somewhat high risk in the generate distribution map, so as to induce maintenance and replacement of the equipment to be carried out in a timely manner, thereby preventing enormous financial losses due to equipment failure.
The present invention relates to a method for predictive maintenance of equipment via a distribution chart and, more specifically, to a method for predictive maintenance of equipment performed via a distribution chart, wherein peak values are extracted on the basis of a change in an amount of energy required for performing a work process by the equipment in a normal state, a distribution chart of the extracted peak values is constructed, and an abnormal symptom of the equipment is predictively detected in advance on the basis of a change in distribution probability of a detection section having a low distribution probability and somewhat high risk in the constructed distribution chart thereof such that maintenance and replacement of the equipment are induced to be carried out at an appropriate time, to thereby prevent in advance an enormous monetary loss caused by a failure in the equipment.
The present invention relates to a method for predictive maintenance of equipment via a distribution chart and, more specifically, to a method for predictive maintenance of equipment performed via a distribution chart, wherein peak values are extracted on the basis of a change in an amount of energy required for performing a work process by the equipment in a normal state, a distribution chart of the extracted peak values is constructed, and an abnormal symptom of the equipment is predictively detected in advance on the basis of a change in distribution probability of a detection section having a low distribution probability and somewhat high risk in the constructed distribution chart thereof such that maintenance and replacement of the equipment are induced to be carried out at an appropriate time, to thereby prevent in advance an enormous monetary loss caused by a failure in the equipment.
The present invention relates to a method for detecting an integrity index of a device via a distribution chart and, more particularly, to a method for detecting an integrity index of a device via a distribution chart, wherein peak values are extracted on the basis of a change of the size of energy consumed by the device to perform a work process, a distribution chart of the extracted peak values is constructed, an integrity index reference table is constructed on the basis of a change of a distribution probability of a detection section of the constructed distribution chart, which has a low distribution probability and a slightly high risk, and then an integrity index value indicating the integrity of the device is output and provided to an administrator in real-time by applying a distribution probability value of the detection section of the distribution chart collected from the device in real-time to the integrity index reference table, and thus the administrator can accurately recognize the real-time integrity of the device through the integrity index to self-establish a plan for inspection or management of the device and very actively and stably perform overall management of the device, thereby significantly reducing negligent accidents and monetary losses caused by an abrupt malfunction of the device.
The present invention relates to a method for detecting an integrity index of an apparatus through a distribution curve, and more specifically, relates to a method for detecting an integrity index of an apparatus through a distribution curve, the method including the steps of: extracting peak values on the basis of changes in the intensity of energy consumed by the apparatus when performing a work process; constructing a distribution curve of the extracted peak values; constructing an integrity index reference table on the basis of changes in distribution probability in a detection interval in the constructed distribution curve in which the distribution probability is low and the risk is high; and then applying information about the slope of distribution probability values in the detection interval with respect to the distribution curve collected in real time from the apparatus to the integrity index reference table, and outputting and providing, to a manager in real time, the integrity index value indicating the integrity of the apparatus. Accordingly, the manager can clearly perceive the real-time integrity of the apparatus through the integrity index to autonomously establish a plan for checking or managing the apparatus to very actively and stably carry out the overall management of the apparatus, and greatly reduce safety-related accidents and monetary loss caused by abrupt failure of the apparatus.
The present invention relates to a secure door lock having a security function, comprising the feature of a digital door lock that determines opening and closing of a door, and further comprising: a detection unit that detects any one, or both, selected from the number of times the door is opened through the digital door lock and the number of attempts to open the door through the digital door lock, and transmits the detected information; and an output unit that receives the detected information transmitted from the detection unit and outputs same for a user to view.
G07C 9/28 - Individual registration on entry or exit involving the use of a pass the pass enabling tracking or indicating presence
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
33.
METHOD FOR PREDICTIVE MAINTENANCE SERVICING OF LARGE NUMBER OF DEVICES THROUGH CLOUD SERVER
The present invention relates to a method for the predictive maintenance servicing of a large number of devices through a cloud server, the method being characterized by including: a purchase step (S10) in which a purchaser makes an online or offline purchase of measurement equipment managed by an operating company which operates and manages a management site; a sign-up step (S20) in which the purchaser who has purchased the measurement equipment accesses and signs up to the management site, and acquires an account unique to the purchaser; a registration step (S30) in which the purchaser accesses and logs into the management site, and registers the purchased measurement equipment by entering a serial number unique thereto; and an installation step (S40) for installing the measurement equipment in a device to be predictively maintained, wherein the measurement equipment measures operation information about the device in real time and collects the measurement information; a management step (S50) in which the management site receives the measurement information collected and transmitted from the measurement equipment installed in the device, and stores and manages the measurement information in a cloud server; and a detection and output step (S60) in which the management site determines the state of the device in real time on the basis of the measurement information collected and transmitted from the measurement equipment, and provides the purchaser with real time state information about the device in which the measurement equipment is installed.
Disclosed is a method for detecting a soundness index of a device via a control output signal, the method comprising: a soundness information collection step (S10) of measuring and collecting a time interval between a control output signal and a subsequent control output signal which are output by a control unit so as to enable a device, which operates by receiving a control output signal output by the control unit, to repeatedly perform operations in a normal state; a defect information collection step (S20) of measuring and collecting a time interval between a control output signal and a subsequent control output signal which are output by the control unit so as to enable the device, which operates by receiving a control output signal output by the control unit, to repeatedly perform operations before a failure occurs; a configuration step (S30) of, on the basis of time interval information between the control output signals, which is collected in the soundness information collection step (S10) and the defect information collection step (S20), configuring a soundness reference value and a defect reference value for a time interval between control output signals; a detection step (S40) of measuring and collecting, in real time, a time interval value between a control output signal and a subsequent control output signal which are output by the control unit so as to enable the device to repeatedly perform operations, and comparing the collected time interval value with the soundness and defect reference values configured in the configuration step (S30), thereby detecting a soundness index value of the device; and an output step (S50) of outputting the soundness index value detected in the detection step (S40) and providing same to a manager.
The present invention relates to a method for detecting an integrity index of a device through a multi-control output signal. An integrity index reference table is established on the basis of an integrity reference value set on the basis of information collected from a normal device and a defect reference value set on the basis of information collected from a device before a failure occurs. Then, time information collected in real time from the device is applied to the integrity index reference table, and thus, an integrity index value indicating the integrity of the device may be output in real time and provided to a manager.
The present invention relates to a method for detecting an integrity index of an apparatus through a control output signal, in which an integrity index reference table is constructed on the basis of an integrity reference value set on the basis of information collected from a normal apparatus and a failure reference value set on the basis of information collected from the apparatus before a failure occurs, and then, a slope value for a time interval value between control output signals collected in real time from the apparatus is applied to the integrity index reference table, and an integrity index value indicating integrity of the apparatus is output in real time and can be provided to a manager.
Disclosed is a method for detecting the health index of an apparatus through a control output signal, the method including: a healthiness information collection step (S10) for measuring and collecting the time consumed from start to end by one operation performed in a normal state by the apparatus which operates by receiving control output signals output from a control unit; an unhealthiness information collection step (S20) for measuring and collecting the time consumed from start to end by one operation performed in a state prior to the occurrence of a failure of the apparatus which operates by receiving the control output signals output from the control unit; a setting step (S30) for setting a healthiness reference value and an unhealthiness reference value for the time consumed by one operation of the apparatus on the basis of the information, collected in the healthiness information collection step (S10) and the unhealthiness information collection step (S20), about the time consumed by one operation of the apparatus; a detection step (S40) for measuring and collecting, in real time, a time value of the time consumed from start to end by an operation of the apparatus, and detecting the health index value of the apparatus by comparing the collected time value with the healthiness reference value and the unhealthiness reference value, set in the setting step (S30), for the time consumed by one operation; and an output step (S50) for outputting the health index value detected in the detection step (S40), and providing the same to a manager.
The present invention relates to a predictive maintenance method for a device by means of a control output signal, the method in which operational information of a device in a normal state and operational information of the device before a malfunction occurs is collected, a suspect value is configured on the basis of the collected information and, if a condition, in which an anomaly in the device is suspected when comparing the suspect value with a collection value in accordance with operational information of the device collected in real time, is met, a warning is sent to induce service and replacement of the device at an appropriate time, and thus heavy financial losses due to device malfunction are prevented.
The present invention relates to a predictive maintenance method for a device through a control output signal, the method comprising the steps of: collecting operational information of a device in a normal state and operational information of the device before a malfunction occurs; configuring a suspect value on the basis of the collected information; and, if a condition, where an anomaly in the device is suspected when comparing the suspect value with a collection value according to operational information of the device collected in real time, is met, sending a warning to induce service and replacement of the device at an appropriate time, thereby having the effect of preventing heavy financial losses due to device malfunction.
The present invention relates to a predictive maintenance method for a device through a multi-control output signal, the method comprising: collecting operational information of the device in a normal state and operational information of the device before a malfunction occurs; configuring a suspect value on the basis of the collected information; and, if a condition, where an anomaly in the device is suspected when comparing the suspect value with a collection value according to operational information of the device collected in real time, is met, sending a warning so as to induce servicing and replacement of the device at an appropriate time, thereby having the effect of pre-empting heavy financial losses due to device malfunction.
The present invention relates to a predictive maintenance method for equipment via a control output signal, the method being able to prevent in advance a huge financial loss due to a malfunction of equipment, by collecting operation information of the equipment in a normal state and operation information of the equipment generated prior to the malfunction, setting a suspected tilt value on the basis of the collected information, comparing the suspected tilt value and a tilt value according to the operation information of the equipment being collected in real time, and warning, if a condition for suspecting an abnormal sign in the equipment is met, so as to induce maintenance and replacement of the equipment to be performed at an appropriate time.
Disclosed is a predictive maintenance method for machine tools comprising: a first base information collecting step of collecting information about a change in the amount of current consumed in a machine over time in a process of processing a workpiece in a state where a tool of the machine is in a normal state, wherein the information is separately collected from each of an inflow section where the tool engages with the workpiece, a constant speed section where the tool processes the workpiece, and an outflow section where the tool withdraws from the workpiece and returns; a second base information collecting step of collecting information about a change in the amount of current consumed in the machine over time in a process of processing the workpiece in a state where the tool of the machine is worn, wherein the information is separately collected from each of the inflow section where the tool engages with the workpiece, the constant speed section where the tool processes the workpiece, and the outflow section where the tool withdraws from the workpiece and returns; a setting step of setting first threshold values for each of the inflow section, the constant speed section, and the outflow section on the basis of the information collected in the first base information collecting step and the second base information collecting step; and a detecting step of separately collecting information about a change in the amount of current consumed in the machine over time in a process of processing the workpiece by using the tool of the machine from each of the inflow section where the tool engages with the workpiece, the constant speed section where the tool processes the workpiece, and the outflow section where the tool withdraws from the workpiece and returns, and detecting an inspection state in which maintenance or replacement of the tool of the machine is required, if current values of the inflow section, constant speed section and outflow section exceed the first threshold values of the inflow section, constant speed section and outflow section set in the setting step.
B23Q 17/09 - Arrangements for indicating or measuring on machine tools for indicating or measuring cutting pressure or cutting-tool condition, e.g. cutting ability, load on tool
G05B 19/4065 - Monitoring tool breakage, life or condition
43.
METHOD FOR DETECTING INTEGRITY INDEX OF DRIVING UNIT
Disclosed is a method for detecting an integrity index of a driving unit, comprising: an integrity value setting step of setting an integrity reference value on the basis of information on power consumed in a normal driving section of a driving unit; a defective value setting step of setting a defective reference value on the basis of information on power consumed in a driving section of the driving unit before a failure occurs; a measurement value extraction step of extracting a measurement value from information on power consumed in a driving section measured in a real-time driving state of the driving unit; a detection step of comparing the measurement value extracted in the measurement value extraction step with the integrity reference value and the defective reference value and detecting a value of an integrity index of the driving unit; and an output step of outputting the value of the integrity index detected in the detection step and providing same to an administrator.
Disclosed is a method for locally integrated safety management through crane diagnosis, the method comprising: a division step of dividing an area, in which safety management is desired to be performed, into at least two management areas; a diagnosis step in which a management server is attached to a crane used in the field of each management area, collects information on the number of times, which is detected by a detector and by which a current value having a magnitude exceeds a threshold value, and extracts the average number of times per crane from each management area on the basis of the collected information on the number of times, so as to diagnose work safety in each management area; and a guiding step of inducing safe work of the crane by issuing a warning for a management area having low work safety on the basis of the work safety in each management area diagnosed by the management server.
G08B 25/10 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Disclosed is a crane safety management system comprising: a collection unit for collecting information (power information) on change in the magnitude of consumed current according to passage of time in a process in which a crane operates, wherein the information is collected according to divided sections of the time, including a lifting section for lifting an article, a transferring section for transferring the lifted article, and a lowering section for lowering the transferred article; a setting unit for setting a peak warning value for each of the lifting section, the transferring section, and the lowering section; a detection unit for receiving power information collected by the collection unit and detecting the number of times by which a current value of each section of the received power information exceeds a peak warning value of each section, which is set by the setting unit; and a management unit for, when the number of times detected by the detection unit exceeds the number of warnings set within a set unit time, issuing a warning to induce safe operation of the crane.
Disclosed is a method for predictively maintaining a tool of a processing machine, comprising: a first base information collection step of collecting information about a change in the magnitude of current consumed according to time in the processing machine, in a process of processing a workpiece when the tool of the processing machine is in a normal condition, wherein the information about the change in the magnitude of current is classified into an inflow section in which the tool enters the workpiece, a constant speed section in which the tool processes the workpiece, and an outflow section in which the tool leaves, and returns from, the workpiece; a second base information collection step of collecting information about a change in the magnitude of current consumed according to time in the processing machine, in a process of processing the workpiece before the tool of the processing machine is broken, wherein the information about the change in the magnitude of current is classified into the inflow section in which the tool enters the workpiece, the constant speed section in which the tool processes the workpiece, and the outflow section in which the tool leaves, and returns from, the workpiece; a setting step of setting a first threshold value for each of the inflow section, the constant speed section, and the outflow section on the basis of the information collected in the first base information collection step and the second base information collection step; and a detection step of collecting information about a change in the magnitude of current consumed according to time in the processing machine, in a process of processing the workpiece through the tool of the processing machine in real time, wherein the information about the change in the magnitude of current is classified into the inflow section, the constant speed section, and the outflow section, and when a current value for each section exceeds the first threshold value for each section set in the setting step, detecting as an inspection state that requires inspection or replacement of the tool of the processing machine.
B23Q 17/09 - Arrangements for indicating or measuring on machine tools for indicating or measuring cutting pressure or cutting-tool condition, e.g. cutting ability, load on tool
G05B 19/4065 - Monitoring tool breakage, life or condition
47.
METHOD FOR DETECTING INTEGRITY INDEX OF TOOL OF PROCESSING MACHINE
Disclosed is a method for detecting an integrity index of a tool of a processing machine, comprising: an integrity information collection step of collecting the amount of current consumed according to time in a process of processing a workpiece when the tool of the processing machine is in a normal condition, wherein the amount of current is classified into an inflow section, a constant speed section, and an outflow section; a first defective information collection step of collecting the amount of current consumed according to time in the processing machine, in a process of processing the workpiece before the tool of the processing machine is broken, wherein the amount of current is classified into the inflow section, the constant speed section, and the outflow section; a setting step of setting a warning value and a risk value for each of the inflow section, the constant speed section, and the outflow section on the basis of the information collected in the integrity information collection step and the first defective information collection step; an extraction step of collecting the amount of current consumed according to time in a process of processing the workpiece through the tool of the processing machine in real time, wherein the amount of current is classified into the inflow section, the constant speed section, and the outflow section; a detection step of detecting the number of times that the amounts of current in the inflow section, the constant speed section, and the outflow section, collected in the extraction step, exceed the warning values and the risk values for the inflow section, the constant speed section, and the outflow section, set in the setting step, and detecting a value of an integrity index of the tool of the processing machine; and an output step of outputting the value of the integrity index detected in the detection step and providing same to an administrator.
B23Q 17/09 - Arrangements for indicating or measuring on machine tools for indicating or measuring cutting pressure or cutting-tool condition, e.g. cutting ability, load on tool
G05B 19/4065 - Monitoring tool breakage, life or condition
48.
METHOD FOR DETECTING INTEGRITY INDEX OF MACHINE TOOL
Disclosed is a method for detecting an integrity index of a machine tool, the method comprising: an integrity information collection step of collecting the amount of current consumed in a process of machining a workpiece over time when the machine tool is in a normal state; a first failure information collection step of collecting the amount of current consumed in the process of machining the workpiece over time when the machine tool is in a worn state; a setting step of setting an integrity reference value and a failure reference value on the basis of information collected in the integrity information collection step and the first failure information collection step; an extraction step of collecting the amount of current consumed in the process of machining the workpiece in real time using the machine tool over time and extracting a measurement value from the collected information; a detection step of detecting an integrity index value of the machine tool by comparing the measurement value extracted in the extraction step with the integrity reference value and the failure reference value set in the setting step; and an output step of outputting the integrity index value detected in the detection step and providing the integrity index value to a manager.
B23Q 17/09 - Arrangements for indicating or measuring on machine tools for indicating or measuring cutting pressure or cutting-tool condition, e.g. cutting ability, load on tool
G05B 19/4065 - Monitoring tool breakage, life or condition
49.
PREDICTIVE MAINTENANCE SYSTEM OF MOORING POST AND PREDICTIVE MAINTENANCE METHOD OF MOORING POST
Disclosed is a predictive maintenance system of a mooring post, comprising: an information collection unit, installed in a mooring post, for collecting status information of the mooring post in real time; a transmitting unit for transmitting, to a receiving unit, the state information of the mooring post collected by the information collection unit; the receiving unit for receiving the state information of the mooring post from the transmitting unit; a detection unit for detecting the state of the mooring post in real time on the basis of the state information of the mooring post received by the receiving unit; and a management server including a display unit for outputting the state information received from the receiving unit and a detection result of the detection unit, as an image.
Disclosed is a warning light system for outputting the real-time condition of a device, the system comprising: a collection unit for collecting a real-time state value of a device to be managed; a reference-setting unit for distinguishing, as a good state and a bad state, the states of a device to be managed, dividing the values between the distinguished good state and bad state into n equal parts, and setting reference grade values; a detection unit for detecting the real-time condition of the device by comparing the state value of the device, collected by the collection unit, with the reference grade values, set by the reference-setting unit; and a control unit for controlling the output of a warning light in response to the condition of the device, detected by the detection unit.
Disclosed is a method for extracting and transmitting data by an Internet of Things (IoT)-based sensor, the method comprising: an arrangement step of collecting information data measured by the IoT-based sensor and arranging the information data according to the passage of time; a partitioning step of partitioning the information data, which has been arranged according to the passage of time in the arrangement step, into repetitive configuration sections; an extraction step of extracting one or more pieces of target data from among the information data of the configuration sections; and a transmission step of transmitting the target data extracted in the repetitive configuration sections via wired or wireless communication.
The present invention relates to a precise predictive maintenance method for a driving unit, comprising: a first base information collection step (S10) of collecting change information of an energy magnitude, according to time, which has been measured in a normal driving state of the driving unit, and collecting a time interval value between a first peak and a second peak by setting, as the first peak, the highest magnitude value of energy from the change information of the energy magnitude and, as the second peak, the highest magnitude value of energy after the first peak; a second base information collection step (S20) of collecting the time interval value between the first peak and the second peak from change information of an energy magnitude, according to time, which has been measured in a driving state of the driving unit before a failure of the driving unit occurs; a setting step (S30) of setting a warning upper limit value and a warning lower limit value for the time interval value between the first peak and the second peak on the basis of the information collected in the base information collection steps (S10, S20); and a detection step (S40) of measuring the time interval value between the first peak and the second peak from change information of an energy magnitude, according to time, which has been measured in a real-time driving state of the driving unit, and detecting that the driving unit is in an abnormal state when the measured time interval value is greater than the warning upper limit value set in the setting step (S30) or less than the warning lower limit value.
The present invention relates to an accurate predictive maintenance method of an operation unit, the method comprising: a first base information collection step (S10) of collecting energy magnitude change information over time, which is measured in a normal operation state of an operation unit, wherein a time interval value between a first peak and a second peak is collected, in which a value having a greatest energy magnitude in the energy magnitude change information is configured to be the first peak, and a value having a greatest energy magnitude after the first peak is configured to be the second peak, the energy magnitude change information of the operation unit over time includes a repeatedly formed operation period which includes the first peak and the second peak, and slope information for a time interval value between operation periods is collected by connecting time interval values of the first peak and the second peak in the operation period and time interval values of other repetitive operating periods; and a second base information collection step (S20) of, before a failure occurs in the operation unit, collecting slope information for a time interval value between operation periods by connecting the time interval values of the first peak and the second peak of the operation period in the energy magnitude change information over a time, which are measured in the operation state of the operation unit, and a time interval value of another repetitive operation period; a configuration step (S30) of configuring an alarm slope value for a time interval value between operation periods on the basis of the slope information collected in the base information collection steps (S10 and S20); and a detection step (S40) of detecting a state of the operation unit as an abnormal state when an average slope value for the time interval values between operation periods measured at unit time intervals configured in a real-time operation state of the operation unit exceeds the alarm slope value configured in the configuration step (S30).
The present invention relates to a precise predictive maintenance method for a driving unit, comprising: a first base information collection step (S10) of collecting change information of an energy magnitude, according to time, which has been measured in a normal driving state of the driving unit, collecting a time interval value between a first peak and a second peak by setting, as the first peak, the highest magnitude value of energy from the change information of the energy magnitude and, as the second peak, the highest magnitude value of energy after the first peak, wherein the change information of the energy magnitude according to time, of the driving unit, is formed by repeating a driving interval including the first peak and the second peak, and collecting gradient information of a time interval value between driving intervals by connecting a time interval value between the first peak and the second peak in a driving interval and a time interval value of another repeating driving interval; a second base information collection step (S20) of collecting gradient information of the time interval value between driving intervals by connecting the time interval value between the first peak and the second peak of a driving interval from change information of an energy magnitude, according to time, which has been measured in a driving state of the driving unit before a failure of the driving unit occurs and a time interval value of another repeating driving interval; a setting step (S30) of setting a warning gradient value for the time interval value between driving intervals on the basis of the gradient information collected in the base information collection steps (S10, S20); and a detection step (S40) of detecting that the driving unit is in an abnormal state when a mean gradient value for the time interval values between driving intervals, which have been measured in set unit time intervals in a real-time driving state of the driving unit, is greater than the warning gradient value set in the setting step (S30).
The present invention relates to a precise predictive maintenance method for a driving unit, the method comprising: a first base information collection step (S10) for dividing, into a peak period and a constant speed period, information about a change in energy size over time measured in a normal driving state of the driving unit, extracting the highest value of the energy size in the peak period as a peak value and the last energy value in the constant speed period as a constant speed value, wherein a driving period including the peak value and the constant speed value is repeatedly formed in the information about the change in energy size of the driving unit over time, and collecting inclination information regarding the peak values of the driving periods by connecting the peak value of the driving period and the peak values of the other repeated driving periods to each other; a second base information collection step (S20) for collecting inclination information regarding the peak values of the driving periods by connecting the peak value of the driving period and the peak values of the other repeated driving periods to each other in a driving state of the driving unit before a malfunction occurs in the driving unit; a setting step (S30) for setting a warning inclination value regarding the peak values of the driving periods, on the basis of the inclination information collected in the base information collection steps (S10, S20); and a detection step (S40) for detecting that the driving unit is in an abnormal state when the average inclination value regarding the peak values of the driving periods measured at unit time intervals set in a real-time driving state of the driving unit exceeds the warning inclination value set in the setting step (S30).
The present invention relates to a precise predictive maintenance method for a driving unit, comprising: a first base information collecting step (S10) of collecting change information of an energy level according to the time measured in a normal driving state of a driving unit, extracting, as a first peak, the value at which the energy level is highest in the change information of the energy level and extracting, as a second peak, the value at which the energy level is highest after the first peak to be set, wherein the change information of the energy level of the driving unit according to the time is formed by the repetition of driving sections which include the first peak and the second peak, and connecting an energy value of one driving section at the second peak and an energy value of another repeated driving section at the second peak so as to collect slope information on energy values at the second peak between the driving sections; a second base information collecting step (S20) of connecting an energy value of the driving section at the second peak and an energy value of another repeated driving section at the second peak in a driving state of the driving unit before the occurrence of a failure in the driving unit so as to collect slope information on energy values at the second peak between the driving sections; a setting step (S30) of setting a warning slope value for the energy values at the second peak between the driving sections on the basis of the slope information collected in the base information collecting steps (S10, S20); and a detecting step (S40) of detecting an abnormal state of the driving unit when an average slope value for energy values at the second peak between the driving sections measured at unit time intervals set in a real-time driving state of the driving unit exceeds the warning slope value set in the setting step (S30).
The present invention relates to an accurate predictive maintenance method of an operation unit, the method comprising: a first base information collection step (S10) of dividing energy magnitude change information over time, which is measured in a normal operation state of an operation unit, into a peak period and a constant speed period, and extracting a value having a greatest energy magnitude in the peak period as a peak value and a last energy value of the constant speed period as a constant speed value, wherein the energy magnitude change information of the operation unit over time includes a repeatedly formed operation period which includes the peak value and the constant speed value, and slope information for a constant speed value between the operation periods is collected by connecting the constant speed value of the operation period and constant speed values of repeated other operation periods; a second base information collection step (S20) of, before a failure occurs in the operation unit, collecting slope information for the constant speed value between the operation periods by connecting the constant speed value of the operation period in the operation state of the operation unit and the constant speed values of the repeated other operation periods; a configuration step (S30) of configuring an alarm slope value for the constant speed value between the operation periods on the basis of the slope information collected in the base information collection steps (S10 and S20); and a detection step (S40) of detecting a state of the operation unit as an abnormal state when an average slope value for the constant speed values between the operation periods, which are measured at unit time intervals configured in a real-time operation state of the operation unit, exceeds the alarm slope value configured in the configuration step (S30).
The present invention relates to a method for preserving a driving part through accurate prediction, the method comprising: a first base information collection step (S10) of collecting information on a magnitude change of energy over time during a driving period, which has been measured in a normal state of a driving part, extracting an integral area in the driving period on the basis of the collected information, and collecting slope information of integral area values between driving periods by connecting the integral area value in the driving period with the integral area value in another repetitive driving period; a second base information collection step (S20) of collecting slope information of integral area values between driving periods by connecting the integral area value in the driving period with the integral area value in another repetitive driving period, in a driving state of the driving part before a failure of the driving part occurs; a setting step (S30) of setting a warning slope value of integral area values between driving periods on the basis of the slope information collected in the base information collection steps (S10 and S20); and a detection step (S40) of detecting that the driving part is in an abnormal state, when an average slope value of integral area values between driving periods, which is measured at every configured unit time interval in a real-time driving state of the driving part, exceeds the warning slope value set in the setting step (S30).
The present invention relates to a precision preventive maintenance method of a driving unit, which comprises: a first base information collecting step (S10) for collecting information on a change in energy magnitude with respect to time according to a driving section measured in a normal state of the driving unit, and on the basis of the collected information, connecting a time interval value between a starting point and an ending point of the driving section with a time interval value of another repetitive driving section to thereby collect slope information on the time interval values between the driving sections; a second base information collecting step (S20) for connecting a time interval value between a starting point and an ending point of the driving section with a time interval value of another repetitive driving section in a driving state of the driving unit prior to the failure of the driving unit to thereby collect slope information on the time interval values between the driving sections; a setting step (S30) for setting an alarm slope value for the time interval values between driving sections on the basis of the slope information collected in the base information collecting steps (S10, S20); and a detection step (S40) for detecting the driving unit as an abnormal state when an average slope value for the time interval values between driving sections measured at a unit time interval set in a real time driving state of the driving unit exceeds the alarm slope value set in the setting step (S30).
The present invention relates to a precision preventive maintenance method of a driving unit, which comprises: a first base information collecting step (S10) for collecting information on a change in energy magnitude with respect to time measured in a normal driving state of the driving unit, arbitrarily setting at least two time zones from the information on change in energy magnitude, and individually collecting energy values at the arbitrarily set time zones; a second base information collecting step (S20) for individually collecting energy values at the same arbitrarily set time zones as in the first base information collecting step (S10) from the information on change in energy magnitude with respect to time measured in a driving state of the driving unit prior to the failure of the driving unit; a setting step (S30) for respectively setting an alarm upper limit and an alarm lower limit for the energy values at the arbitrarily set time zones on the basis of the information collected in the base information collecting steps (S10, S20); and a detection step (S40) for individually measuring the energy values at the arbitrarily set time zones from the information on change in energy magnitude with respect to time measured in a real time driving state of the driving unit, and detecting the driving unit as an abnormal state when the measured energy value exceeds the alarm upper limit value set in the setting step (S30) or is lower than the alarm lower limit value.
The present invention relates to an accurate predictive maintenance method for a driving part, the method comprising: a first base information collection step (S10) of dividing, into a peak period and a constant-speed period, a period for information on a magnitude change of energy over time, which has been measured in a normal driving state of a driving part, forcibly dividing the constant-speed period into set time intervals, setting the divided period as a driving period, setting the largest energy value as the highest point and setting the smallest energy value as the lowest point in the driving period, collecting a time interval value between the highest point and the lowest point, and collecting slope information of time interval values between driving periods by connecting the time interval value in the driving period with the time interval value in another repetitive driving period; a second base information collection step (S20) of collecting slope information of time interval values between driving periods by connecting the time interval value between the highest point and the lowest point in the driving period with the time interval value in another repetitive driving period, in a driving state of the driving part before a failure of the driving part occurs; a setting step (S30) of setting a warning slope value of time interval values between driving periods on the basis of the slope information collected in the base information collection steps (S10 and S20); and a detection step (S40) of detecting that the driving part is in an abnormal state, when the average slope value of time interval values between driving periods, which is measured at every set unit time interval in a real-time driving state of the driving part, exceeds the warning slope value set in the setting step (S30).
The present invention provides a preventive maintenance method for an elevator driving unit, the method differentiating ascending and descending requirements of the elevator so as to collect driving unit driving information (information on a change in a current value according to time) of each normal state and driving unit driving information appearing before a failure occurs, setting a threshold level on the basis of the collected information, and then comparing driving unit driving information collected in real time with the set threshold level so as to detect, in real time, an abnormal sign of the driving unit, thereby performing stable preventive maintenance of the elevator driving unit, and thus a negligence accident of an elevator, caused by a failure of the elevator driving unit, can be efficiently prevented.
The present invention relates to a method for high efficiency operation through elevator operation analysis, the method comprising: a base information collection step (S10) of measuring and collecting, in a normal state by an operation unit for ascending or descending an elevator, magnitude change information of current values according to time of the operation unit when the elevator ascends and descends, wherein the measured information is divided into operation information of the operation unit at ascending of the elevator and operation information of the operation unit at descending of the elevator and individually stored as base information of the operation unit; an operation information storage step (S20) of measuring operation information of the operation unit in real time when the operation unit is operated, wherein the measured information is analyzed on the basis of the base information of the operation unit, which has been collected in the base information collection step (S10), and extracting and storing the operation information of the elevator; and an operation control step (S30) of analyzing and digitizing elevator operation information having been long-term stored in the operation information storage step (S20), and controlling a floor-specific door-closing time for the elevator on the basis of the digitized information. The present invention comprises: performing classification into an ascending condition and a descending condition of an elevator, and collecting operation information (change information of a current value according to time) of the operation unit for each condition; analyzing the operation information of the operation unit in real time on the basis of the collected information to extract the operation information of the elevator; digitizing (statisticalizing) a floor-specific operation frequency of the elevator, a time slot, and the number of passengers on the basis of the extracted operation information; and controlling a floor-specific door-closing time for the elevator on the basis of the digitized information, so as to induce economically efficient operation of the elevator. In addition, according to the present invention, it is possible to clearly distribute electricity rates for elevator operation in proportion to a digitized floor-specific operation frequency of an elevator, so that a very reasonable rate settlement can be achieved.
B66B 1/30 - Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear
B66B 1/34 - Control systems of elevators in general - Details
64.
METHOD FOR PREDICTIVE MAINTENANCE AND HIGH EFFICIENCY OPERATION THROUGH ELEVATOR ANALYSIS
The present invention relates to a method for predictive maintenance and high efficiency operation through elevator analysis, the method comprising: a predictive maintenance step (S10) of allowing an elevator operation unit to collect operation information of the operation unit in a normal state and operation information of the operation unit, which appears before a failure occurs, detect an abnormal symptom of the operation unit operating in real time, on the basis of the collected operation information, and induce stable predictive maintenance of the elevator operation unit; and a high efficiency operation step (S20) of analyzing the operation information of the elevator operation unit in real time on the basis of the operation information of the operation unit in the normal state, which is collected in the predictive maintenance step (S10), to extract the operation information of an elevator, and controlling a door-closing time for the elevator on the basis of the extracted operation information so as to induce efficient operation of the elevator. The present invention comprises not only: performing classification into an ascending condition and a descending condition of an elevator, and individually collecting operation information (change information of a current value according to time) of an operation unit in a normal state and operation information of the operation unit, which appears before a failure occurs; setting a threshold level on the basis of the collected information; comparing the operation information of the operation unit, which is collected in real time, with the set threshold level to detect an abnormal symptom of the operation unit in real time; and then performing stable predictive maintenance of the elevator operation unit so as to enable a safety accident of the elevator due to a failure of the elevator operation unit to be efficiently prevented, but also: analyzing the operation information of the operation unit in real time to extract the operation information of the elevator; digitizing (statisticalizing) a floor-specific operation frequency of the elevator, a time slot, and the number of passengers on the basis of the extracted operation information; and controlling a floor-specific door-closing time for the elevator on the basis of the digitized information, so as to induce economically efficient operation of the elevator. Further, according to the present invention, an operation unit: divides current values (operation information) varying depending on time of the operation unit, which are collected due to characteristics applied to an elevator, into an unlocking period, a starting period, a constant speed period, a stopping period, and a lock performing period; collects the divided current values; and compares operation information of the operation unit, which is collected in real time, with an upper limit value and a lower limit value of a threshold level corresponding to each period to detect an abnormal symptom of the operation unit, so that the operation unit can easily detect a part (device) suspected of having an abnormal symptom, and therefore not only the elevator operation unit can perform precise predictive maintenance but also an excellent reliability with respect to a detection result of the elevator operation unit can be ensured. In addition, according to the present invention, it is possible to clearly distribute electricity rates for elevator operation in proportion to a digitized floor-specific operation frequency of an elevator, so that a very reasonable rate settlement can be achieved.
B66B 1/30 - Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear
B66B 1/34 - Control systems of elevators in general - Details
patents
