Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion

In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion...

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Hauptverfasser:	Yan Xin, Fu Hua, Tu Naiwei
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Automatic control Automation Coal and gas outburst Control engineering education Data analysis Dempster-Shafer (D-S) evidence theory Drilling Gas industry Information fusion Multi-agent Prediction methods Predictive models Production
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creator	Yan Xin Fu Hua Tu Naiwei
description	In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst.
doi_str_mv	10.1109/ICICTA.2010.620
format	Conference Proceeding
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In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. 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The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst.</description><subject>Accuracy</subject><subject>Automatic control</subject><subject>Automation</subject><subject>Coal and gas outburst</subject><subject>Control engineering education</subject><subject>Data analysis</subject><subject>Dempster-Shafer (D-S) evidence theory</subject><subject>Drilling</subject><subject>Gas industry</subject><subject>Information fusion</subject><subject>Multi-agent</subject><subject>Prediction methods</subject><subject>Predictive models</subject><subject>Production</subject><isbn>9781424472796</isbn><isbn>1424472792</isbn><isbn>9781424472802</isbn><isbn>1424472806</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNTLtOwzAUNUKVgJKZgcU_kOJ34rFEtERqVYaItbqJbyAoTVDsDPw9pjBwlqPzJOSOsxXnzD6URVlU65Vg0TCCXZDEZjlXQqlM5Exc_teZNQty81O1Is90fkUS7z9YhNIi2tfkdY_hfXS0HSf6MqHrmtCNAx1bWozQUxgc3YKnhznU8-QDfQSPjsbGfu5Dl8IbDoGWQ5yf4LzczD7SLVm00HtM_nhJqs1TVTynu8O2LNa7tLMspMYwbZgy3CC3usUGeQtG584AN2BzJrPaIVjlhIyZgVoiQ6ObGhphWyGX5P73tkPE4-fUnWD6OmotpFSZ_AaAjVQi</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Yan Xin</creator><creator>Fu Hua</creator><creator>Tu Naiwei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion</title><author>Yan Xin ; Fu Hua ; Tu Naiwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-6605604616e195fece1fa658d6a16a98037bdea94d23ce16ab3e0e65cbac29f23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accuracy</topic><topic>Automatic control</topic><topic>Automation</topic><topic>Coal and gas outburst</topic><topic>Control engineering education</topic><topic>Data analysis</topic><topic>Dempster-Shafer (D-S) evidence theory</topic><topic>Drilling</topic><topic>Gas industry</topic><topic>Information fusion</topic><topic>Multi-agent</topic><topic>Prediction methods</topic><topic>Predictive models</topic><topic>Production</topic><toplevel>online_resources</toplevel><creatorcontrib>Yan Xin</creatorcontrib><creatorcontrib>Fu Hua</creatorcontrib><creatorcontrib>Tu Naiwei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yan Xin</au><au>Fu Hua</au><au>Tu Naiwei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion</atitle><btitle>2010 International Conference on Intelligent Computation Technology and Automation</btitle><stitle>ICICTA</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>657</spage><epage>660</epage><pages>657-660</pages><isbn>9781424472796</isbn><isbn>1424472792</isbn><eisbn>9781424472802</eisbn><eisbn>1424472806</eisbn><abstract>In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst.</abstract><pub>IEEE</pub><doi>10.1109/ICICTA.2010.620</doi><tpages>4</tpages></addata></record>
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subjects	Accuracy Automatic control Automation Coal and gas outburst Control engineering education Data analysis Dempster-Shafer (D-S) evidence theory Drilling Gas industry Information fusion Multi-agent Prediction methods Predictive models Production
title	Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion
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