Elevator car vibration anomaly early warning method based on time series prediction model

Abstract

The invention provides an elevator car vibration anomaly early warning method based on a time series prediction model. The method comprises the steps of predicting elevator sensor data through the time series prediction model, and giving an early warning to whether a vibration anomaly occurs or not in advance according to whether a predicted value is within a normal value range or not.

Description

technical field [0001] The patent of the present invention relates to a method for early warning of abnormal vibration of an elevator car. Background technique [0002] Elevators are an indispensable means of transportation in people's lives, and their types mainly include vertical elevators, escalators and moving walks. With the rapid development of my country's economy, the number of elevators is also growing rapidly. By the end of 2015, the total number of elevators in my country has exceeded 4 million units, and the current domestic elevators have increased by 500,000 to 600,000 units annually, making it the country with the largest number of elevators in the world. . However, while elevators are convenient for people to work and live, accidents caused by special equipment continue to occur. One of the effective ways of sex. [0003] Elevator failure early warning is a technology that pre-identifies possible elevator failures and takes corresponding measures to avoid f...

AI Technical Summary

Problems solved by technology

[0006] However, RNN has the problem of gradient disappearance, which makes it impossible to make good use of long-term historical information.

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