Abstract
Due to the large-scale mining of mineral resources, the surface strata in many areas have collapsed and even developed into deformation and subsidence. Based on the conventional geotechnical deformation monitoring technology, the surface deformation prediction and disaster caused by the conventional geotechnical deformation monitoring technology can be avoided. In this paper, based on GIS, combined with the analysis of surface settlement, the surface settlement, slope value, curvature deformation value, horizontal displacement, and corresponding horizontal deformation formula are comprehensively analyzed and studied. In order to make the surface deformation visualization and realize the high approximation processing with the subsidence area, this paper innovatively introduces the 3D visualization settlement data analysis and realizes the calculation result analysis and corresponding retrieval multiple visualization in the subsidence area depth prediction process. On this basis, the prediction data of subsidence area can be optimized and analyzed so as to master the efficient and accurate law of surface deformation. In the experimental part, a mine is taken as the experimental object, and the 3D visual monitoring processing is carried out. In this paper, the main method to prevent electromagnetic leakage of the computer system is the source suppression method. The source suppression method solves the problem fundamentally by reducing or eliminating the emission of computer electromagnetic leakage source. In the actual experiment, the effect of this method is very effective. The experimental results show that the prediction results and corresponding early warning accuracy of the system are significantly improved compared with the traditional scheme, which provides practical significance for disaster prevention and corresponding environmental impact assessment.
Highlights
With the continuous development of new energy technology, traditional energy and other nonrenewable energy have declined, but from the global energy share point of view, traditional energy such as coal, natural gas, and so on still occupy a very important position [1, 2]. e excessive exploitation of traditional energy has a great impact on the natural ecological environment and brings a lot of hidden natural disasters to people, such as long-term surface subsidence, landslide, deformation, and slide, which will seriously threaten the collapse area and the safety of human life around the collapse area this may even cause serious surface disasters [3,4,5,6]
As the most serious problem of traditional mine pit, the corresponding monitoring and early warning means mainly focus on repeated level monitoring, total station measurement technology, GPS measurement technology, and traditional point distribution monitoring technology. is kind of technology is relatively flexible, and the corresponding detection range is relatively high, but its corresponding detection accuracy is limited by computer information processing technology At the same time, the corresponding data analysis cannot achieve visualization processing [7,8,9,10]
In the continuous research and analysis, they developed the subsidence calculation rules. e main core of the method is to apply the stochastic process equation to the loose body mechanics. e rock mass movement and the corresponding elements are regarded as the random movement of the loose element, which lays the foundation for the subsidence calculation e analysis is mainly achieved by finite element analysis. is scheme has certain advanced and correctness, but its corresponding engineering calculation is too large, and the corresponding resource waste is serious [12, 13]
Summary
Received 27 October 2020; Revised 9 December 2020; Accepted 17 December 2020; Published 7 January 2021. In order to make the surface deformation visualization and realize the high approximation processing with the subsidence area, this paper innovatively introduces the 3D visualization settlement data analysis and realizes the calculation result analysis and corresponding retrieval multiple visualization in the subsidence area depth prediction process. On this basis, the prediction data of subsidence area can be optimized and analyzed so as to master the efficient and accurate law of surface deformation. The main method to prevent electromagnetic leakage of the computer system is the source suppression method. The effect of this method is very effective. e experimental results show that the prediction results and corresponding early warning accuracy of the system are significantly improved compared with the traditional scheme, which provides practical significance for disaster prevention and corresponding environmental impact assessment
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