Abstract
As a key equipment for production and transportation, conveyor belts are widely used in the coal mining industry. Once the conveyor belt longitudinal tear occurs, it will seriously affect the production and even cause personal injury. Therefore, the longitudinal tear detection of the conveyor belt is extremely important. In this paper, the sound detection is introduced into the longitudinal tear detection of the conveyor belt, and an audio-visual detection method for conveyor belt longitudinal tear is proposed. Camera and microphone array are used to collect the image and sound signals of conveyor belt, and the conveyor belt is detected from both image and sound, respectively. Then the image and sound analysis results are combined to comprehensively judge the status of the conveyor belt. The experimental results show that the audio-visual detection method can accurately identify the normal, abnormal, and longitudinal tear of the conveyor belt. The detection accuracy is over 86.72% and the sensitivity of longitudinal tear detection is greater than 92.59%. The proposed audio-visual detection method is verified to meet the requirements of longitudinal tear detection of coal mining industry conveyor belts.
Highlights
Conveyor belts are one of the important equipment for coal mine production, which are widely used in coal production and transportation
This paper proposes an audio-visual detection method for conveyor belt longitudinal tear
In order to quickly view the specific reasons for the conveyor belt abnormal and the conveyor belt longitudinal tear in the analysis results, the conveyor belt abnormal is subdivided into conveyor belt abnormal/sound, conveyor belt abnormal/image, and conveyor belt abnormal
Summary
Conveyor belts are one of the important equipment for coal mine production, which are widely used in coal production and transportation. Longitudinal tear detection of conveyor belts is extremely important [3]. The current study on the longitudinal tear detection method for conveyor belt is mainly image-based detection method [8]. The image-based detection method is affected by the surface condition of the conveyor belt. C. Hou et al.: Research on Audio-Visual Detection Method for Conveyor Belt Longitudinal Tear. It is feasible to introduce sound into the conveyor belt longitudinal tear detection. This paper proposes an audio-visual detection method for conveyor belt longitudinal tear. The audiovisual detection method for conveyor belt longitudinal tear is mainly divided into three modules: image signal acquisition and analysis module, sound signal acquisition and analysis module, and comprehensive judgment module based on audiovisual analysis results.
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