A method for predictive maintenance of equipment via a distribution chart is disclosed. Peak values are extracted based on 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 based on 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. Thus, an enormous monetary loss caused by a failure in the equipment may be prevented in advance.
A server rack predictive maintenance method comprises: an information collecting step 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; an alarm setting step of setting the average current value of the server rack on the basis of the value of power collected in the information collecting step, and setting the alarm current value to be smaller than the set average current value; and a detecting step 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 safety door lock having a security function, which includes a digital door lock configured to determine whether to open or close a door, the safety door lock including a detection unit configured to detect any one selected from or both of the number of times the door is opened by the digital door lock and the number of times the door is attempted to be opened by the digital door lock and transmit detection information, and an output unit configured to receive the detection information transmitted from the detection unit and output the detection information to allow a user to ascertain the detection information.
A smart earth leakage circuit breaker is installed on a distribution line through which an electric current flows. The breaker 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 tracking and measuring, based on measurement information of the CT, a value of the leakage current exceeding an alarm current value; the MPU setting conditionality and the alarm current value less than the rated sensitivity current and when the conditionality is satisfied based on information measured by the measurement unit, issuing a warning by means of an alarm unit; and the alarm unit operated and controlled by the MPU and warning of an abnormal symptom of the distribution line.
H02H 3/00 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection
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
A method for learning and detecting an abnormal part of a device through artificial intelligence comprises: an information collection step 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 for learning, by a control unit, information collected in the information collection step and setting a reference model of a current waveform for each faulty part of the device; and a detection step 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.
Disclosed is an integrity index detecting method for a device by means of a control output signal including an integrity information collecting step S10 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a defect information collecting step S20 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a setting step S30 of setting an integrity reference value and a defect reference value for the time interval between the control output signals; a detecting step S40 of measuring and collecting the time interval value between a control output signal and a subsequent control output signal; and an outputting step S50 of outputting the integrity index value detected in the detecting step S40 to provide the integrity index value to the manager.
The present invention relates to an integrity index detecting method for a device by means of multiple control output signals which, after establishing an integrity index reference table based on an integrity reference value set based on information collected from a normal device and a defect reference value set based on information collected from a device before a malfunction occurs, outputs an integrity index value indicating an integrity of the device in real time by applying time information collected from the device in real time to the integrity index reference table to provide the integrity index value to a manager.
A method for a device, including an integrity information collecting step S10 of measuring and collecting a time consumed from a start time of one operation to an end time in a normal state of a device; a defect information collecting step S20 of measuring and collecting a time consumed from a start time of one operation to an end time in a state of a device; a setting step S30 of setting an integrity reference value and a defect reference value for the time consumed for one operation of the device; a detecting step S40 of measuring and collecting a time value consumed from a start time of an operation of the device to an end time in real time and detecting an integrity index value of the device; and an outputting step S50 of outputting the integrity index value.
The present invention relates to an integrity index detecting method for a device by means of a control output signal which, after establishing an integrity index reference table based on an integrity reference value set based on information collected from a normal device and a defect reference value set based on information collected from a device before a malfunction occurs, outputs an integrity index value indicating an integrity of the device in real time by applying a gradient value with respect to a time interval value between control output signals collected from the device in real time to the integrity index reference table to provide the integrity index value to a manager.
The method of the present invention includes: an integrity information collection step of collecting a current amount for each of an inflow period, a constant period, and an outflow period; a first inferiority information collection step of collecting a current amount for each of the periods; a setting step of setting a warning value and a critical value in each of the periods based on the information collected; an extraction step of collecting a current amount, which is consumed when a workpiece is machined by the machine tool in real time, for each of the periods; a detection step of detecting an integrity index value of the machine tool by detecting the number of times that the current amount of the periods collected exceeds the warning value and the critical value in each of the periods; and an outputting step of outputting the integrity index value detected.
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
11.
METHOD OF DETECTING INTEGRITY INDEX OF MACHINE TOOL
The method of the present invention includes: an integrity information collection step of collecting a current amount; a first inferiority information collection step of collecting a current amount; a setting step of setting an integrity reference value and an inferiority reference value on the basis of the information collected; an extraction step of collecting a current amount in real 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 with the integrity reference value and the inferiority reference value set in the setting step; and an outputting step of outputting the integrity index value detected.
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
12.
Precise predictive maintenance method for driving unit
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting an energy value of a second peak of a driving period to an energy value of a second peak in repetitive another driving period; a setting step S30 of setting an alarm gradient value for the second peak energy value, and a detecting step S40 of detecting the driving unit as an abnormal state.
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval from the change information of the energy size, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.
G07C 5/00 - Registering or indicating the working of vehicles
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
G05B 23/00 - Testing or monitoring of control systems or parts thereof
G05B 13/00 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
G08B 21/00 - Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
G08B 23/00 - Alarms responsive to unspecified undesired or abnormal conditions
14.
Precise predictive maintenance method for driving unit
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of dividing change information of an energy size, a second base information collecting step S20 of connecting a peak interval between a highest point and a lowest point of a driving period in a driving state of the driving unit; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.
The present invention relates to a precise predictive maintenance method for a driving unit and the configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size in accordance with a time measured in a normal driving state of the driving unit; a second base information collecting step S20 of collecting a peak interval; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the peak interval; and a detecting step S40 of measuring a peak interval.
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.
G08B 29/00 - Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
G08B 31/00 - Predictive alarm systems characterised by extrapolation or other computation using updated historic data
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting a peak interval between a starting point and an ending point; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.
The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of collecting energy values; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the energy values; and a detecting step S40 of measuring energy values and detecting the driving unit to be an abnormal state.
The present disclosure relates to a method for predictive maintenance and high efficiency operation through elevator analysis, and the method includes: a predictive maintenance step of collecting operation information of an operation unit in a normal state and operation information of the operation unit, which appears before a failure occurs, and detecting an abnormal symptom of the operation unit operating in real time based on the collected operation information so as to induce stable predictive maintenance of the operation unit of the elevator; and a high efficiency operation step of analyzing the operation information of the elevator operation unit in real time based on the operation information of the operation unit in the normal state to extract the operation information of an elevator, and controlling a door-closing time for the elevator based on the extracted operation information so as to induce efficient operation of the elevator.
The present invention relates to a precise predictive maintenance method of a driver and the configuration includes: collecting slope information for a constant speed value between drive periods by connecting the constant speed value in a respective drive period and the constant speed value in a driving state of a driver before a failure of the driver occurs; setting an alarm slope value for the constant speed value between the drive periods based on the collected slope information; and detecting, in a case where an average slope value for the constant speed value between the drive periods measured at a unit time interval set in a real-time driving state of the driver is more than the alarm slope value, the case as an abnormal state of the driver.
The present invention relates to a precise predictive maintenance method of a driver and the configuration includes: collecting slope information for a peak value between drive periods by connecting the peak value in a respective drive period in a driving state of the driver before a failure of the driver occurs; setting an alarm slope value for the peak value between the drive periods based on the collected slope information; and detecting, in a case where an average slope value for the peak value between the drive periods measured at a unit time interval set in a real-time driving state of the driver is more than the alarm slope value, the case as an abnormal state of the driver.
The present invention provides a method of predictively maintaining an elevator driving unit which distinguishes between a condition when moving an elevator upward and a condition when moving the elevator downward, collects driving information of the driving unit (information on a change over time in current values) in a normal state, collects driving information of the driving unit before the occurrence of breakdown, sets critical levels based on the collected information, detects in real time an abnormal symptom of the driving unit by comparing the driving information of the driving unit, which is collected in real time, with the set critical level, and then performs stable predictive maintenance of the elevator driving unit, thereby efficiently preventing a safety accident of the elevator caused by a breakdown of the elevator driving unit.
The present invention relates to a method of highly efficiently operating an elevator by analyzing an operation of the elevator, including: a base information collecting step of measuring and collecting information on a change over time in magnitudes of current values of a driving unit when the driving unit for moving the elevator upward or downward moves the elevator upward in a normal state, measuring and collecting information on a change over time in magnitudes of current values of the driving unit when moving the elevator downward, classifying the measured information into driving information of the driving unit when moving the elevator upward and driving information of the driving unit when moving the elevator downward, and storing the driving information of the driving unit when moving the elevator upward and the driving information of the driving unit when moving the elevator downward as base information of the driving unit.
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
The present invention includes: collecting information about a change in energy magnitude according to time measured with the driving device in normal operation separately for each of a peak period and a mean period; collecting information about a change in energy magnitude according to time measured with the driving device in operation before the driving device breaks separately for each of the peak period and the mean period; setting a mean fault of the mean period on the basis of the information collected; and collecting information about a change in energy magnitude according to time measured in real time with the driving device in operation separately for each of the peak period and the mean period and of detecting the driving device in an abnormal state when the collected energy values in the mean period exceed the peak fault of the mean period set in the setting.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
The present invention includes: collecting information about a change in energy magnitude according to time measured with the driving device in normal operation separately for each of a peak period and a mean period; collecting information about a change in energy magnitude according to time measured with the driving device in operation before the driving device breaks separately for each of the peak period and the mean period; setting a peak fault of the peak period on the basis of the information collected; and collecting information about a change in energy magnitude according to time measured in real time with the driving device in operation separately for each of the peak period and the mean period and of detecting the driving device in an abnormal state when the collected energy values in the peak period exceed the peak fault of the peak period set in the setting.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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