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An elevator fault detection and early warning method based on image recognition

A fault detection and image recognition technology, applied in the field of elevator fault detection and image processing, can solve the problems of untimely detection, insufficient elevator maintenance and inspection personnel, affecting the normal operation of elevators, etc., so as to reduce the incidence of accidents and diversify detection targets. , the effect of high detection efficiency and detection accuracy

Active Publication Date: 2022-01-04
新沂慧科智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the daily operation of the elevator, as time goes by, the parts of the elevator gradually age, causing the parts to fail, which in turn affects the normal operation of the elevator
Or, due to unpredictable factors, the components fail, which affects the normal operation of the elevator. Therefore, people pay more and more attention to the effective detection of elevator component failures.
[0005] With the increasing number of elevators in our country, the number of elevator maintenance and inspection personnel is increasingly insufficient. Only when the traction machine fails will people be sent to inspect and repair. Limited by the technical level and operation methods of maintenance personnel, traditional inspection methods can only be used for partial faults. Detection, single detection target, cumbersome detection process, difficult to determine fault location, missed detection often occurs
Due to the untimely detection, it is difficult to detect new elevator failures early, and it is impossible to predict potential dangers

Method used

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  • An elevator fault detection and early warning method based on image recognition
  • An elevator fault detection and early warning method based on image recognition
  • An elevator fault detection and early warning method based on image recognition

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Experimental program
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Embodiment 1

[0028] refer to figure 1 , is an embodiment of the present invention, provides a kind of elevator fault detection and early warning method based on image recognition, comprises:

[0029] S1: Use industrial cameras to continuously collect real-time running status image information of elevator traction machines; it should be noted that CMOS industrial cameras are used for image information collection.

[0030] S2: Perform data preprocessing on the image information of the real-time running state, decompose the sound information of the image, and classify the sound information; it should be noted that,

[0031] Data preprocessing includes,

[0032] Grayscale processing of image information;

[0033] Gaussian filtering strategy is used to decompose the sound information of the grayscale processed image information;

[0034] The sound information is classified, and the image information and sound information after grayscale processing are stored.

[0035] S3: Convert the image ...

Embodiment 2

[0074] In order to verify and explain the technical effect adopted in this method, this embodiment adopts the traditional technical scheme and the method of the present invention to conduct a comparative test, and compares the test results by means of scientific demonstration to verify the real effect of this method.

[0075] Traditional technical solutions: only part of the faults can be detected, the detection target is single, the detection efficiency and accuracy are low, and missed detections often occur. In order to verify that this method has higher detection efficiency, detection accuracy and diversified fault detection compared with traditional methods . In this embodiment, the traditional image detection method and this method will be used to measure and compare the fault detection efficiency, accuracy and detection target of the simulated elevator traction machine in real time. Test environment: Run the elevator on the simulation platform to simulate the operation a...

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Abstract

The invention discloses an elevator fault detection and early warning method based on image recognition. The sound information of the image is extracted, and the sound information is classified; the image information after the sound decomposition and the classified sound information are converted into digital signals; the feature selection mechanism is used to extract the features of the digital signals, based on the discriminant analysis strategy Analyze the extracted features, get the real-time running status of the elevator traction machine, and judge whether the elevator is faulty; if a fault occurs, send an early warning signal to the computer terminal for early warning. The invention can detect various faults, has diversified detection targets, high detection efficiency and detection precision, can find fault information in time, and reduces the occurrence rate of accidents.

Description

technical field [0001] The invention relates to the technical fields of image processing and elevator fault detection, in particular to an image recognition-based elevator fault detection and early warning method. Background technique [0002] In recent years, with the continuous development of Internet technology, the transmission of information is more convenient, fast and extensive. Elevators, as the only means of transportation in modern buildings, are also constantly upgrading information technology, such as electronic hardware, system integration, electronic and Internet-based car and hall calls, and so on. [0003] With the development of domestic real estate, the use and growth of elevators have increased significantly. While there are more and more users, more and more attention has been attracted. Similarly, elevators are being used The probability of failure in the process is also increasing. Therefore, the quick acquisition and even real-time grasp of the eleva...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B66B5/00B66B3/00
CPCB66B5/0018B66B3/00
Inventor 王松吴新伟吴远皓
Owner 新沂慧科智能科技有限公司