Elevator running state active checking method

Abstract

The invention discloses an elevator running state active checking method. The method comprises the following steps that an anomaly index data set is collected by a failure prediction system and transmitted to an active checking system; the active checking system calculates information identification codes according to the anomaly index data set; the active checking system searches an elevator failure historical database for a similar index data set and detailed data set according to the information identification codes, and a detailed data collection request needing to be collected is determined; the active checking system sends the detailed data collection request to an elevator control system; the elevator control system sends the detailed data set to the active checking system; the active checking system carries out prediction result analysis on the detailed data set; and the active checking system stores the anomaly index data set, the detailed data set and the information identification codes corresponding to the anomaly index data set and the detailed data set into the elevator failure historical database. During system running, only anomaly index data are subjected to detailed data extraction, and the pressure of a data collection, real-time transmission and analysis system is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of elevators, in particular to a method for actively checking the running state of an elevator. Background technique [0002] With the continuous development of Internet of Things technology, fault diagnosis and prediction based on elevator operation data has increasingly become the focus of development in the field of elevator applications. For example, the Chinese patent No. 201210176351.9 discloses a data-driven elevator fault diagnosis and early warning method, using the mining results to construct and update the fault knowledge base, and based on the elevator fault knowledge base, the elevator real-time data and historical data are compared. matching to realize elevator fault diagnosis and prediction. But there are following disadvantages: [0003] 1. When performing fault prediction, collect and feed back all detailed data related to elevator faults in real time, and the data collection, transmission...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention: Aiming at the problems that existing elevator fault diagnosis methods have problems such as high pressure on data collection, transmission and analysis systems, poor flexibility, and difficulty in realizing specific analysis of sp

Images