A Method for Predicting Operation Faults of Intelligent Elevator Control System

Abstract

The invention discloses a method for predicting operation faults of an intelligent elevator control system, which includes the following steps: (1) establishing a typical fault prediction expert knowledge base according to the correlation analysis between elevator operation monitoring signals and sensor data and various faults, and using knowledge base rules Reasoning for fault prediction; (2) Monitor the relevant signals and sensor data of the controller, and collect and normalize the monitoring data into sample data for neural network learning; (3) Establish a hierarchical and sequential neural network system for fault prediction models, using the collected (4) Input the real-time signal into the fault prediction system, and then fuse the fault prediction results obtained by expert knowledge reasoning with the fault prediction results of hierarchical sequential neural network. The prediction accuracy is improved, the operation stability and safety of the elevator system are greatly improved, the maintenance technical threshold of the elevator control system is lowered, and the elevator maintenance and repair are more accurate, simpler and faster.

Description

technical field [0001] The invention relates to an operation failure prediction method of an intelligent elevator control system, which belongs to the field of elevator system failure prediction. Background technique [0002] There are nearly 200,000 new elevators installed in China every year, and the number of domestic elevators continues to increase. However, in contrast, the number of technical practitioners in the elevator industry has not increased correspondingly. The domestic elevator industry is facing a shortage of technical personnel and difficult debugging. , Difficult maintenance dilemma. In the current handling of elevator faults, most maintenance personnel basically rely on their own experience and product manuals. Through manual operation and thinking about maintenance faults, the maintenance efficiency is heavily dependent on the technical ability and experience of the maintenance personnel themselves. Therefore, the fooling of the elevator maintenance and ...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The purpose of the present invention is to solve the deficiencies in the prior art, and to provide a prediction problem that can solve the failure of the brake of the elevator traction machine, the abnormal operation of the contactor, and the abnormal fault of the hoistway switch in the elevator control system, based on expert knowledge Intelligent elevator control system operation failure prediction method based on reasoning and neural network learning

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