Predictive maintenance and highly efficient operation methods through elevator analysis

摘要

Regarding the method of predictive maintenance and high-efficiency operation through elevator analysis, the drive information of the drive unit in the steady state of the elevator drive unit and the drive information of the drive unit that appears before the failure occurs are collected and collected. Collected in the predictive maintenance process (S10) and the predictive maintenance process (S10), which detects signs of abnormality in the driven drive unit in real time based on the drive information and guides stable predictive maintenance of the elevator drive unit. Based on the drive information of the drive unit in the steady state, the drive information of the elevator drive unit is analyzed in real time to extract the operation information of the elevator, and the door closing time of the elevator is controlled based on the extracted operation information. It consists of a high-efficiency operation process (S20) that guides the efficient operation of the elevator, and is divided into ascending and descending conditions, and the driving information of the driving unit in the steady state (information on changes in the current value depending on time). ) And the drive information of the drive unit that appeared before the failure occurred, and after setting the critical level based on the collected information, the drive information of the drive unit to be collected is set in real time. Detects signs of drive anomalies in real time in comparison to critical levels. By performing stable predictive maintenance of the elevator drive unit in this way, it is possible not only to efficiently prevent elevator safety accidents due to elevator drive unit failure, but also to analyze drive unit drive information in real time. Elevator operation information is extracted, the number of elevator operations by floor, time zone and number of passengers are quantified (statistical) based on the extracted operation information, and based on the quantified information. It has the effect of controlling the door closing time of the stratified elevator and guiding the economical operation of the elevator. In addition, due to the characteristics of the drive unit applied to the elevator, the current value (drive information) that changes depending on the time in the collected drive unit can be changed to the unlock section, start section, constant speed section, and stop section. The drive information of the drive unit, which is collected separately from the lock execution section and the lock execution section, is compared with the upper and lower limits of the critical level corresponding to each section to show signs of abnormality in the drive unit. By detecting, it is possible to easily detect a part (equipment) in which a sign of abnormality is suspected in the drive unit, and it is possible not only to perform precise predictive maintenance of the drive unit of the elevator, but also to detect the elevator drive unit. There is an effect that excellent reliability for the result can be ensured. It should be noted that the electricity charges for elevator operations can be clearly dispersed in proportion to the quantified number of elevator operations for each floor, which has the effect of inducing a very rational charge settlement.