Dynamic Fuzzy Evaluation Of Downhole Risk In Lead-zinc Mine Based On High-precision Positioning And Real-time Data

Internet of Things as the key information technology are driving the rapid development of mine construction. Survey shows deficiencies and shortcomings of existing underground positioning system, underground information collection system and safety assessment sensing systems, which have restricted the development of the mine safety production level, designing a downhole system to meet the needs of mine safety is necessary.When the mine disaster or emergency occurs, the people and critical equipment location information under the Pb-Zn mine can not be accurately determined in real-time, and the existing regional positioning systems can not provide the effective rescue information support; lack of coverage of sensor networks in Pb-Zn mine, can not guarantee the safety requirements of Pb-Zn mine; despite the deployment of a large number of safety indicators data acquisition sensors (such as harmful gas concentration, landslides and other parameters), but the sense data full of redundancy, lack of comprehensive data security metrics correlation analysis, resulting in the isolation between the various types of data and various systems, the linkage can not be treated, lack of intelligence in application level; lack of dynamic security risk assessment mechanism, can not make a reasonnble assessment of the risk of Pb-Zn mine safety in real time.Aiming the absence of Pb-Zn mine safety assessment system, firstly, set up positioning device for people and critical equipment, get location information in real-time; Secondly, collect many important Pb-Zn mine sensors safety indicators, and integrate data to achieve dynamic analysis of mine safety monitoring; by using the location information of people and critical equipment as well as important safety indicators data, build a experimental fuzzy risk assessment system in Pb-Zn mine. In this paper, based on previous research of precise positioning technology, data fusion technology and downhole safety fuzzy evaluation technology, emphatically downhole precise positioning technology, underground emergency data fusion technology and mine safety assessment technology is studied. Main achievements and innovations made in this article including:(1) Analyze downhole electromagnetic wave transport attenuation caused by different cross-section transverse of roadway in positioning model errors, build a positioning simulation environment based on actual measured data and MATLAB software, by analysis and comparison of the mean square error (MSE), root mean square error (RMSE), positioning coordinates and the actual coordinates to evaluate the accuracy of positioning model.(2) Design a real time underground emergency hierarchical multi-source heterogeneous sensor network data fusion protocol. An adaptive weighted homogeneous level similar sensor data-level fusion, BP neural network heterogeneity heterogeneous sensor feature-level fusion, DS evidence theory of decision-level fusion.(3) Construct Safety Risk Assessment Model sorting and grading of mine based Fuzzy-Grey methods. Based on requirements of Mine safety evaluation technique for applications, propose Pb-Zn mine safety risk evaluation index, construct sorting and grading of mine safety risk assessment model, comparing with Fuzzy TOPSIS based risk assessment model in the same indicators. Through the experiment, proved higher fuzzy-Grey model sensitivity to risk than Fuzzy TOPSIS model, different attitudes scoring less impact for the evaluation of the results of other characteristics.