Tailings pond safety monitoring device based on video analysis

Abstract

Provided is a tailing reservoir safety monitoring device based on video analysis. The device comprises a video preprocessing module, a position and shape calculation module, a video buffer, a displacement calculation module, an analysis and warning module and a processor, wherein the video preprocessing module is used for detecting and removing a background according to the RGB distribution characteristic of pixel points in a source video image of a tailing reservoir so as to obtain a reservoir region image, the position and shape calculation module is used for acquiring a pixel point distribution histogram of the outline of the reservoir region image and working out current target parameters according to the pixel point distribution histogram of the outline, the video buffer is used for storing the reservoir region image and target parameters of the tailing reservoir, the displacement calculation module is used for comparing the current target parameters with the target parameters stored in the video buffer and working out the displacement change value between the current target parameters and the target parameters stored in the video buffer, and the analysis and warning module is used for outputting warning information according to the current target parameters and / or the displacement change value. Accurate calculation of main technical parameters of the tailing reservoir and timely analysis and warning are achieved through the device, and therefore the device is beneficial for safety monitoring and management of the tailing reservoir.

Description

technical field [0001] The invention relates to the field of reservoir area safety monitoring, in particular to a tailings reservoir safety monitoring device based on video analysis. Background technique [0002] In order to meet the needs of mining and waste disposal, dams are used to intercept valley entrances or enclosures to build tailings ponds, which are used to stack tailings or other industrial wastes discharged from metal or non-metal mines for ore sorting. At present, there are thousands of tailing ponds in my country, many of which have potential safety hazards. If these tailings pools are not managed properly, dam collapse accidents will occur, which will cause serious losses to the lives and property of the people and cause great damage to the surrounding environment. Therefore, an effective device is urgently needed for the safety detection of tailings ponds. [0003] At present, the main technical parameters for the safety monitoring of tailings ponds are: t...

AI Technical Summary

Problems solved by technology

[0004] The existing safety detection methods for tailings ponds mostly use manual inspections, which often require manual carrying of heavy equipment to regularly measure and record various parameters in the tailings pond area, which is vulnerable to bad weather and tailings. Due to the influence of factors such as the topography of the reservoir area, it is impossible to timely and accurately measure the main technical parameters of the tailings pond, and analyze and alarm, thus bringing inconvenience and hidden dangers to the safety management of the tailings pond

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