A mining belt longitudinal tearing detection device and method

Abstract

The invention relates to a mining belt longitudinal tearing detection device and method based on a mining linear laser emitter and a mining visual sensor platform, and the method comprises the steps:obtaining a laser light bar image irradiated by linear laser on a belt as an interested area; Creating an image processing object on the mining vision sensor platform and copying image data of the interested area; carrying out enhancement and denoising on the image of the region of interest; obtaining a light bar segmentation threshold; obtaining a light bar image through threshold segmentation; obtaining a linear light center light bar; judging the characteristics of the linear light center light bar, and judging whether the belt is longitudinally torn or not. The invention discloses a miningbelt longitudinal tearing detection device and a detection method. Integrated processing of video collection, image algorithm analysis and control signal output is achieved on an embedded platform, the hardware structure is simplified, the algorithm is optimized, the algorithm complexity is reduced on the basis that the algorithm accuracy is not reduced basically, and online real-time detection of belt longitudinal tearing and control signal output are achieved.

Description

Technical field: [0001] The invention relates to the technical field of coal mine monitoring, in particular to a mine belt longitudinal tear detection device and detection method based on a mine video sensor and a mine linear laser. Background technique: [0002] Literature [1] Li He. Research on crack detection technology on the surface of coal conveyor belt [D]. Liaoning University of Science and Technology. 2015 provides a method using Otsu segmentation method to segment cracks from the background, and then use the skeleton extraction method to refine the crack image It is determined by the method of calculating the crack size later. The accuracy of this method is based on the accuracy of extracting cracks. However, due to the low illumination, dust, water vapor, shadows, and strong light interference in coal mines, the difficulty of segmenting cracks is greatly increased, and the accuracy is seriously damaged. The method has high requirements on the environment, otherwi...

AI Technical Summary

Problems solved by technology

This method uses a high-speed digital image acquisition card + computer to run algorithm analysis, which requires relatively high hardware acquisition, transmission, and computing capabilities. The hardware is bulky and consumes high power, making it difficult to apply in coal mines.

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