Intelligentized operation fault prediction method of an elevator control system

Abstract

The invention discloses an intelligentized operation fault prediction method of an elevator control system. The method comprises the following steps: (1) establishing a typical fault prediction expert knowledge base according to correlation analysis of elevator operation monitoring signals and sensor data, and various faults, and carrying out fault prediction through knowledge base rule reasoning; (2) monitoring relevant signals of a controller and the sensor data, collecting the monitoring data, and standardizing the monitoring data to use as sample data of neural network learning; (3) establishing a model of a hierarchical successively-connected neural network system for fault prediction, and utilizing the collected sample data for neural network training and learning; and (4) inputting real-time signals into the fault prediction system, and then fusing a fault prediction result obtained by expert knowledge reasoning and a fault prediction result of hierarchical successively-connected neural networks. According to the method, the accuracy of prediction is improved, the operation stability and safety of an elevator system are greatly improved, a technical threshold of elevator control system repair and maintenance is reduced, and elevator maintenance and repair are enabled to be 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 ...

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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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