Elevator fault diagnosis and early-warning method based on data drive

Abstract

The invention relates to the field of elevators. In order to early discover and diagnose A elevator fault, the invention adopts the technical scheme that an elevator fault diagnosis and early-warning method based on data drive is achieved by means of a remote service center, a fault diagnosis and prediction terminal and an elevator controller, and the method comprises the steps as follows: firstly, elevator fault data are mined to obtain characteristic information in an elevator fault data stream, and the mined result is stored in an elevator fault case base of the fault diagnosis and prediction terminal; secondly, an elevator fault knowledge base on the fault diagnosis and prediction terminal is updated by the elevator fault case base; thirdly, the case retrieval is carried out on the characteristic of a new elevator fault problem, and the fault diagnosis is carried out on the elevator system by adopting the fault diagnosis method based on the case-base reasoning; and finally information with the characteristic that is most similar with that of the new elevator fault problem is acquired through retrieval of the knowledge or the case in the elevator fault knowledge base to solve the diagnosis problem. The method is mainly suitable for manufacturing and designing image sensors.

Description

technical field [0001] The invention relates to the field of elevators, in particular to a data-driven elevator fault diagnosis and early warning method. Background technique [0002] Due to the rapid increase in the number of elevators with safety hazards in China in recent years, the maintenance of elevators only through the experience of maintenance personnel or maintenance manuals has problems such as low efficiency, poor accuracy, and often after-the-fact diagnosis, which cannot meet the needs of elevator safety. The elevator needs an intelligent fault diagnosis and early warning system to ensure the safe operation of the system. [0003] There are two main ways to solve the elevator safety problem in China: one is fault diagnosis after the fault occurs, and the other is regular maintenance by maintenance personnel. At present, the widely used fault diagnosis techniques mainly include expert system, fuzzy reasoning, neural network and so on. However, these technologie...

AI Technical Summary

Problems solved by technology

However, these technologies rely heavily on expert knowledge, and the difficulty in obtaining expert knowledge has become a bottleneck in the implementation of fault diagnosis.

In addition, most fault diagnosis methods cannot provide fault prediction function, passive diagnosis cannot prevent the occurrence of faults, and can only rely on the regular maintenance of elevators

Regular maintenance with unclear purpose is not only costly and inefficient, but also it is difficult to find potential safety hazards of elevators by manual inspection

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