Elevator abnormal sound detection method and system

A detection method and abnormal sound technology are applied in the field of elevator abnormal sound detection and system, which can solve the problems of low detection accuracy, different abnormal sound spectrum, danger occurrence, etc. desired effect

Inactive Publication Date: 2021-01-08
ZHEJIANG NEW ZAILING TECH CO LTD
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Problems solved by technology

Although this method can preliminarily detect the occurrence of abnormal noise, the abnormal sound spectrum will definitely be different when used on different elevators
Therefore, the abnormal sound data contained in it is not suitable for the corresponding elevator, so the detection accuracy is not high, and it is easy to miss detection and cause danger

Method used

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  • Elevator abnormal sound detection method and system
  • Elevator abnormal sound detection method and system
  • Elevator abnormal sound detection method and system

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Embodiment Construction

[0063] In order to more clearly describe the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that are used in the embodiments. Apparently, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative efforts.

[0064] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, and the embodiments cannot be repeated here one by one, but the embodiments of the present invention are not therefore limited to the following embodiments.

[0065] see figure 1 , in the elevator abnormal noise detection method of the present invention, first collect the video recording of the elevator car, and extract the audio data therefrom. In fact, collecting video recordings is calling the video surveillance rec...

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Abstract

The invention relates to an elevator abnormal sound detection method and system. The method comprises the following steps of first, acquiring a video record of an elevator car, and extracting audio data from the video record; second, preprocessing the audio data, and extracting audio features from the audio data; third, inputting the audio data into a detection model, and determining whether an elevator generates abnormal sounds or not at the current moment; and fourth, if yes, determining whether an alarm signal is sent out or not according to the amplitude of the abnormal sounds. The elevator abnormal sound detection method and system have lower requirements on hardware equipment, and with the method and system, most abnormal sounds generated by running elevators can be recognized, and the application range is wide.

Description

technical field [0001] The invention relates to an elevator abnormal sound detection method and system. Background technique [0002] Elevators are widely used in various fields of modern life, and their working characteristics are high-efficiency vertical operation. While elevators bring great convenience to people, they are also accompanied by certain risks, such as elevator collisions, falls, and potential safety hazards caused by improper maintenance of equipment. The elevator makes abnormal noises during operation, such as vibrations, collisions, etc., which are signals of potential safety hazards. Accurate identification of abnormal noises during elevator operation is very important to ensure the safe operation of the elevator. It can provide potential for elevator mechanical components Provide technical support for potential safety hazard identification and fault diagnosis. [0003] In the current existing technology, it is mainly to install detection equipment on d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/00B66B5/02G10L25/51G10L25/03G10L25/30G06N3/04G06N3/08G06K9/62
CPCB66B5/0037B66B5/02G10L25/51G10L25/03G10L25/30G06N3/04G06N3/08G06F18/241
Inventor 钟超文张兴凤万敏蔡巍伟靳旭哲
Owner ZHEJIANG NEW ZAILING TECH CO LTD
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