Elevator operation fault analysis and diagnosis integrated management cloud platform based on big data

Abstract

The invention discloses an elevator operation fault analysis and diagnosis integrated management cloud platform based on big data. The elevator operation fault analysis and diagnosis integrated management cloud platform comprises an elevator car environment parameter detection module, an elevator car operation parameter detection terminal, a management database, a data preprocessing module, an analysis server, a management server, a video image collection module, an early warning module, and a display terminal. An elevator is subjected to real-time data acquisition through the elevator car environment parameter detection module and the elevator car operation parameter detection terminal; the danger influence coefficient is counted in combination with the management server, and the elevatoroperation condition is subjected to safety assessment; and technicians do not need to go to the site to troubleshoot fault reasons after faults occur, the root cause of the fault can be detected at the display terminal, the fault cause can be found out in time, the difficulty of fault analysis at the terminal afterwards is reduced, and the efficiency of fault cause analysis and fault processing is improved.

Description

technical field [0001] The invention belongs to the technical field of elevators, and relates to an integrated management cloud platform for analysis and diagnosis of elevator operation faults based on big data. Background technique [0002] With the accelerated pace of life and the popularity of high-rise buildings, elevators have been widely used in various specific occasions, including residences, shopping malls, office buildings, hospitals and so on. While elevators bring convenience to people, elevator safety accidents that come at any time are also increasingly frequent, and there are potential safety hazards, especially when elevators fail, which may lead to safety accidents and seriously threaten the lives of passengers. It can be seen that it is particularly important to analyze the fault of the elevator and repair it in time. [0003] In the current existing elevator technology, most of the fault content is initially understood through remote monitoring equipment,...

AI Technical Summary

Problems solved by technology

[0003] In the current existing elevator technology, most of the fault content is initially understood through remote monitoring equipment, and the specific cause of the fault cannot be analyzed. In order to find out the cause of the fault or the safety accident caused by the fault, only relevant technology After the fault occurs, the personnel arrive at the fault site to find the root cause of the terminal fault alarm through visual inspection and manual investigation.

However, this fault tracing link can only be explored by technicians based on their personal experience, resulting in low reliability of fault diagnosis, poor identification of fault causes, and more time-consuming, which is not conducive to timely and correct diagnosis of fault causes and timely processing of faults.

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