Equipment failure recognition method

Abstract

The invention discloses an equipment failure recognition method. The method comprises the steps of collecting acceleration data of a set component of equipment in a set direction in a running process;catching a whole acceleration data signal that the equipment runs once; transforming the whole acceleration data signal that the equipment runs once to obtain a detail factor of the signal; reconstructing the obtained detail factor to obtain acceleration data having a practical meaning, and meanwhile, acquiring 5D data of the running signal; and according to features of the reconstructed acceleration data and the 5D data, confirming a running state of an elevator through identification equipment; if an abrupt change is present, recording information including abrupt change amplitude, a location and the like, and performing analysis according to an abrupt change failure and failure models; and if no abrupt change is found by deep analysis, making abrupt change-free type failure handling, performing contrastive analysis according to a corresponding failure model, and giving out failure probability, a reason and maintenance advices. The equipment failure recognition method can acquire the equipment state in real time, and determines the problem of equipment according to relevant features.

Description

technical field [0001] The invention belongs to the technical field of equipment fault detection and relates to a method for identifying equipment faults. Background technique [0002] According to national statistics, based on the analysis of demand in traditional real estate, rail transit, upgrading and other fields, it is expected that domestic elevator sales will continue to increase in 2020. From 2013 to 2017, the number of domestic elevators has soared from 3 million to nearly 6 million. At the same time, the completed area of ​​domestic real estate is also steadily increasing. [0003] While the number and development prospects of domestic elevators are soaring, elevators lack effective technical means for safety supervision and only rely on maintenance personnel for regular inspection and maintenance. However, with the rapid increase in the number of elevators in recent years, the maintenance personnel remain unchanged. It is becoming more and more difficult to ensu...

AI Technical Summary

Problems solved by technology

However, with the rapid increase in the number of elevators in recent years, the maintenance personnel remain unchanged. It is becoming more and more difficult to ensure timely elevator maintenance and maintenance. Moreover, the structure of the elevator is complex, and when a problem occurs, it cannot be accurately located, and the investigation will be a lot of waste. Time is reduced, efficiency is reduced, and it will also affect the subsequent elevator maintenance work of maintenance personnel

[0004] In reality, elevator failures are often found only when passengers are trapped, resulting in property losses and casualties caused by untimely discovery and untimely rescue. Therefore, it is more important to develop a system that can independently identify and judge elevator failures. Through After the machine is identified, it can directly prescribe the right medicine, reduce time consumption, and improve elevator safety and user experience in a timely manner

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