An early warning method for abnormal vibration of elevator car based on time series prediction model

Abstract

An elevator car vibration abnormality early warning method based on a time series prediction model, using a time series prediction model to predict the elevator sensor data, according to whether the predicted value is within the range of normal values ​​to determine whether the elevator car will have abnormal vibration Early warning.

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...

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