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Particle filter based study of fire forecasting in RCRSS
RoboCupRescue simulation system aims at simulating large-scale disasters in order to explore coordination strategies for real-life rescue missions. Rules of fire propagation are complex, so most teams only use some features of fire for decision, and it lead to the limitation of the fire forecasting...
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| creator | Guan Daqi Xu Yingqiu Tan Yingzi |
| description | RoboCupRescue simulation system aims at simulating large-scale disasters in order to explore coordination strategies for real-life rescue missions. Rules of fire propagation are complex, so most teams only use some features of fire for decision, and it lead to the limitation of the fire forecasting and decision-making. This article introduces a kind of simplified fire propagation model based on the principle of fire simulator and a particle filter based online fire forecasting method. In the end, the result of forecasting will be introduced. |
| doi_str_mv | 10.1109/ICIEEM.2009.5344446 |
| format | conference_proceeding |
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Rules of fire propagation are complex, so most teams only use some features of fire for decision, and it lead to the limitation of the fire forecasting and decision-making. This article introduces a kind of simplified fire propagation model based on the principle of fire simulator and a particle filter based online fire forecasting method. In the end, the result of forecasting will be introduced.</description><subject>Decision making</subject><subject>fire propagation model</subject><subject>fire simulator</subject><subject>Fires</subject><subject>Gases</subject><subject>Geographic Information Systems</subject><subject>Heat transfer</subject><subject>Large-scale systems</subject><subject>particle filter</subject><subject>Particle filters</subject><subject>Predictive models</subject><subject>RCRSS</subject><subject>Temperature dependence</subject><subject>Temperature measurement</subject><isbn>1424436710</isbn><isbn>9781424436712</isbn><isbn>9781424436729</isbn><isbn>1424436729</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1T0tLw0AYXJGCtuYX9LJ_IHHfj6OEqIGK0ngvu8m3shJb2V0P_fcGrHMZ5sHAILSlpKGU2Pu-7bvupWGE2EZysUBdocpqQwUTgivN7DVa_wtKVmi9dI2lVGt9g6qcP8kCITm39haZN5dKHGfAIc4FEvYuw4Rz-ZnO-BQWNy3RKcHoconHDxyPeN_uh-EOrYKbM1QX3qDhsXtvn-vd61PfPuzqaEmpgSgYmZfgNFOgAzNST45aDlRTawRlknvplYcgQwDFwqRG4iZpmHQe-AZt_1YjABy-U_xy6Xy4_Oa_FIlJdA</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Guan Daqi</creator><creator>Xu Yingqiu</creator><creator>Tan Yingzi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Particle filter based study of fire forecasting in RCRSS</title><author>Guan Daqi ; Xu Yingqiu ; Tan Yingzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e06ec2b5ea726e7f2857da193e1719841253b5b6bef5ffe62fd6c0ad5825abe3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Decision making</topic><topic>fire propagation model</topic><topic>fire simulator</topic><topic>Fires</topic><topic>Gases</topic><topic>Geographic Information Systems</topic><topic>Heat transfer</topic><topic>Large-scale systems</topic><topic>particle filter</topic><topic>Particle filters</topic><topic>Predictive models</topic><topic>RCRSS</topic><topic>Temperature dependence</topic><topic>Temperature measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Guan Daqi</creatorcontrib><creatorcontrib>Xu Yingqiu</creatorcontrib><creatorcontrib>Tan Yingzi</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/IET 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>Guan Daqi</au><au>Xu Yingqiu</au><au>Tan Yingzi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Particle filter based study of fire forecasting in RCRSS</atitle><btitle>2009 16th International Conference on Industrial Engineering and Engineering Management</btitle><stitle>ICIEEM</stitle><date>2009-10</date><risdate>2009</risdate><spage>1265</spage><epage>1268</epage><pages>1265-1268</pages><isbn>1424436710</isbn><isbn>9781424436712</isbn><eisbn>9781424436729</eisbn><eisbn>1424436729</eisbn><abstract>RoboCupRescue simulation system aims at simulating large-scale disasters in order to explore coordination strategies for real-life rescue missions. Rules of fire propagation are complex, so most teams only use some features of fire for decision, and it lead to the limitation of the fire forecasting and decision-making. This article introduces a kind of simplified fire propagation model based on the principle of fire simulator and a particle filter based online fire forecasting method. In the end, the result of forecasting will be introduced.</abstract><pub>IEEE</pub><doi>10.1109/ICIEEM.2009.5344446</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2009 16th International Conference on Industrial Engineering and Engineering Management, 2009, p.1265-1268 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Decision making fire propagation model fire simulator Fires Gases Geographic Information Systems Heat transfer Large-scale systems particle filter Particle filters Predictive models RCRSS Temperature dependence Temperature measurement |
| title | Particle filter based study of fire forecasting in RCRSS |
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