Lift car fault judgement method and system based on multi-axis sensor technology

Abstract

The invention provides a lift car fault judgement method and system based on a multi-axis sensor technology. The system comprises a multi-axis sensor unit, a data acquisition unit, a platform processing unit and a fault early-warning unit; the multi-axis sensor unit is used for acquiring the acceleration and the deceleration of a car, the running speed and vibration data in X-axis, Y-axis and Z-axis directions in real time; the data acquisition unit is used for acquiring data fed back by the multi-axis sensor unit and uploading the data to the platform processing unit and comprises a wirelessmodule connected with the network; the platform processing unit is used for storing and analyzing the data and starting early warning for data exception conditions found through analysis; and the fault early-warning unit is used for displaying early-warning prompts when running conditions of the car are abnormal and comprises a WEB application and an APP. According to the method, self-monitoring,self-diagnosis and intelligent early-warning of faults including the acceleration, the deceleration, the real-time speed, the positional deviation, abnormal vibration in the X-axis, Y-axis and Z-axisdirections and the like during running of the lift car are realized on the basis of the system.

Description

technical field [0001] The invention belongs to the technical field of elevators, and in particular relates to an elevator car fault judgment method and system based on multi-axis sensor technology. Background technique [0002] At present, there are two main methods for judging elevator car faults. One is to use special vibration testing instruments to collect data and analyze the running curve of the car. The operation process is more complicated to set the calibration related parameters; in order to avoid human interference during the test, the elevator cannot carry passengers, and the normal use of the elevator will be interrupted during the test process. The test instrument can only test the current running state of the elevator car in a short period of time, and cannot be used on the same elevator for a long time around the clock; after the test is completed, it is necessary to manually copy and save the data to the computer, and install the corresponding analysis soft...

AI Technical Summary

Problems solved by technology

[0002] At present, there are two main methods for judging elevator car faults. One is to use special vibration testing instruments to collect data and analyze the running curve of the car. Setting calibration related parameters, the operation process is more complicated; in order to avoid human interference during the test, the elevator cannot carry passengers, and the test process will interrupt the normal use of the elevator

Problems and deficiencies in this solution: There is no pre-screening process in data processing, and the fitting curve established based on unscreened data, invalid data greatly reduces the accuracy of fault analysis and fault warning; and requires data The fault can only be judged after uploading to the server for analysis

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