Abstract | ||
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Display Omitted The target of this research is assessment situation of rock burst in coal mine.Generally speaking, an assessment approach for the rock burst situation by integrating the Multi-Agent System with data fusion techniques is proposed.To improve the accuracy and reliability of source data, an optimal algorithm for multi-sensor data fusion is discussed.Some intelligent model-based situation quantization methods is described and rock burst situation quantitative assessment model is discussed by improved Dempster-Shafer theory.The Auto-Regressive and Moving Average Model and Holt-Winters model are used to deal with indefinability and inaccuracy in the process of predicting rock burst.Case study results shows the proposed rock burst situation assessment model can give a relatively accurate forecast, and can help coal mine decision-makers to grasp an overview of the development trend of the rock burst. An assessment approach to assess the likelihood of rock burst in coal mines by integrating the Multi-Agent System with data fusion techniques is proposed in this paper. We discuss an optimal algorithm for multi-sensor data fusion to improve the accuracy and reliability of the source data. Some model-based situation quantization methods are described and a rock burst situation quantitative assessment model incorporating improved Dempster-Shafer theory is presented. The Auto-Regressive, Moving Average and Holt-Winters models are used to address indefinability and inaccuracy of the prediction. A case study demonstrates that the proposed situation assessment model is capable of producing relatively accurate forecasts, and thereby it can provide coal mine decision-makers with an overview of the development of rock bursts. |
Year | DOI | Venue |
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2015 | 10.1016/j.compeleceng.2015.04.015 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Rock burst,Multi-agent system,Information fusion,Situation assessment,Forecasting model | Data mining,Computer science,Source data,Coal mining,Rock burst,Sensor fusion,Multi-agent system,Situation analysis,Quantization (signal processing),Moving average | Journal |
Volume | Issue | ISSN |
45 | C | 0045-7906 |
Citations | PageRank | References |
2 | 0.45 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruisheng Jia | 1 | 20 | 8.65 |
Cong Liu | 2 | 128 | 14.67 |
Hongmei Sun | 3 | 29 | 9.23 |
Xiang-Hong Yan | 4 | 2 | 0.45 |