Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed is a method of predictively maintaining equipment by means of a distribution map. The method can: extract a peak value based on a change in the amount of energy required for the equipment to perform a working process in a normal state; generate the distribution map based on 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 generated distribution map, so as to induce maintenance and replacement of the equipment to be carried out in a timely manner. Thus, enormous financial losses due to equipment failure may be prevented.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.