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基于多传感器数据融合的尾矿库实时预警与评估系统研究.doc

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基于多传感器数据融合的尾矿库实时预警与评估系统研究.doc

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基于多传感器数据融合的尾矿库实时预警与评估系统研究.doc

文档介绍

文档介绍:
Research on Real-time Forecasting and Evaluation of
Tailings Reservoir Based on Multi-Sensor Data Fusion#
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YANG Yuting, CHEN Xiaofang, GUI Weihua, WANG Gangyi**
(School of Information Science and Engineering, Central South University, Changsha 410083)
Abstract: The stability and safety of the tailings reservoir plays an important role in the mining
production and environmental protection, so the safety evaluation and real-time forecasting are very
essential. Comprehensive evaluation and decision-making of tailings reservoir is a non-linear system,
thus, an overall framework of multi-sensor data fusion was firstly designed in this paper. Secondly, a
set of structured features can be obtained. Then the safety assessment model of tailings reservoir was
established based on the structured featured-set described above. Furthermore, the whole system was
given through the data flow diagram of the functional module. Finally, based on practice of the projects
of tailings reservoir, the evaluation results are analyzed to explore the security risks in the tailings
reservoir. In order to improve the accuracy of the data with tailings reservoir on-line monitoring system
and the disaster forecast level, after verification and simulation, a theoretical basis can be provided for
further rectification and reform.
Key words: Tailings reservoir; Comprehensive evaluati