A method and system for safety detection and early warning of layered indicators of tailings pool
A safety detection and tailings pond technology, applied in neural learning methods, biological neural network models, geometric CAD, etc., can solve the problem of inaccurate and rapid monitoring of dam fracture data, unfavorable tailings pond on-site video information, and dangerous data. Insufficient monitoring sensitivity and other problems, to achieve the effect of improving clarity, improving monitoring sensitivity, and convenient calculation
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[0060] In order to further understand the content, characteristics and effects of the present invention, the following embodiments are exemplified and described in detail below with the accompanying drawings.
[0061] The structure of the present invention will be described in detail below with reference to the accompanying drawings.
[0062] like figure 1 As shown, the method for safety detection and early warning of tailings pond layered indicators provided by the present invention comprises the following steps:
[0063] S101, use a camera to record the scene of the tailings pond with a cross gray image definition algorithm, and obtain the video information of the monitoring tailings pond; use the infiltration line sensor to monitor the infiltration line data of the tailings pond;
[0064] S102, use the dam body crack monitoring equipment to monitor the dam body crack data using the best consistent approximation method; collect the data of the total area, total dam height a...
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