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 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.

Abstract: 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.

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 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.

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 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 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 gradient information; a setting step S30 of setting an alarm gradient 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 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.

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.

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 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.

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 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 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.

Abstract: 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.

Abstract: 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.