Information-based intelligent control system and control method for safety monitoring of tailing ponds

Abstract

The invention belongs to the technical field of tailing pond monitoring, and discloses an information-based intelligent control system and control method for safety monitoring of tailing ponds. The information-based intelligent control system for safety monitoring of tailing ponds includes a video acquisition module, a vibration monitoring module, a pressure monitoring module, a water level monitoring module, a main control module, a dam body model building module, a risk assessment module, an alarm module, a data storage module and a display module. The shape and distribution characteristicsof the saturation line in model test can be controlled through the dam body model building module, so that the similarity between an experimental dam body model and an actual dam body can be improved,and the accuracy of the experiment can be improved. Meanwhile, through the risk assessment module, the safety status of a tailing pond can be evaluated based on historical data, and moreover, spatialinformation can be increased to further refine the tailing pond evaluation system, and real-time warning and risk investigation can be carried out for tailing ponds to contain disasters in the bud.

Description

technical field [0001] The invention belongs to the technical field of tailings pond monitoring, and in particular relates to an informationized intelligent control system and a control method for safely monitoring tailings ponds. Background technique [0002] Tailings pool refers to the place where dams are built to intercept valley mouths or enclosures, and are used to stockpile metal or non-metal mines for ore sorting and then discharge tailings or other industrial waste. The tailings pond is a high potential energy man-made debris flow hazard, and there is a danger of dam failure. Once the accident occurs, it is easy to cause serious accidents. Red mud pools formed by smelting waste residues and waste residue pools formed by power generation waste residues should also be managed as tailings pools. Tailings refer to the ore mined from metal or non-metal mines, and the "waste residue" discharged after the valuable concentrate is selected by the concentrator. Due to the l...

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Problems solved by technology

[0004] (1) Existing monitoring of the dam body of the tailings pond can only control the water level on the ground, and cannot directly accurately control the position and shape of the seepage water infiltration line; Major accident

[0005] (2) The vibration sensor monitors the vibration data information of the tailings pond in real time. The traditional algorithm used to decompose the noisy signal cannot effectively digitally filter the induction signal to extract effective data, and thus cannot minimize the signal before and after denoising. error

[0006] (3) When the pressure sensor monitors the pressure data information of the tailings dam body in real time, the pressure sensor is easily affected by the temperature, resulting in measurement error. Using traditional algorithms to compensate for the measurement error, no good compensation effect can be obtained

[0007] (4) The magnetostrictive liquid level sensor monitors the water level data information in the tailings pond in real time, and the temperature drift phenomenon is serious in the environment with large temperature difference changes, and the various factors that cause the temperature drift have a nonlinear relationship with the degree of the temperature drift. The algorithm cannot eliminate the influence of temperature on the magnetostrictive liquid level sensor

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