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火灾探测器性能综合评估算法研究 被引量:2

Research on general evaluation algorithm of fire detector performance
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摘要 提出了火灾探测器性能综合评估算法,分析了进行整体评估的因素,以火灾探测性能、环境适应性和抗干扰能力作为评估过程中的评价因素,设计了完整的考核模式和每种模式下的具体试验方法,为每个试验设计了评价指标.在每个单项试验结果的基础上,采用层次分析法结合模糊三角数,建立了火灾探测器性能综合评估的整体数学模型,进行了仿真试验.对典型产品的评估结果证明了所提评估数学模型和解法的正确性.研究成果为开展火灾探测器性能的综合评估奠定了理论基础,同时可为消防监督管理部门和产品最终用户提供技术支持. Evaluation of fire detector performance reveals itself as a multiple attribute decision-making problem. The hierarchical structure of evaluation process is presented. The evaluating elements including fire detection, surrounding adaptation and immunity to false alarm or nuisance alarm are proposed as the main attributes of the whole process. The whole evaluation pattern is designed in detail and test methods of evaluation are also in action. The mathematical model is based on AHP (analytical hierarchical process). Because the weights can not be treated as integer, then triangular fuzzy number is introduced to deal with the problem. The performance of the algorithm is demonstrated by the example. The mathmetical model and test methods can help to deal with the fire supervising for the authorities and the selection of products for end users.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2005年第6期883-887,共5页 Journal of Dalian University of Technology
基金 国家"973"重点基础研究发展计划资助项目(2001CB409608)
关键词 火灾探测器 性能评估 层次分析法(AHP) 模糊三角数 fire detectors performance evaluation AHP triangular fuzzy number
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参考文献6

  • 1THOMAS C, MICHELLE D, WILLIAM G. The fire emulator/detector evaluator: design, operation,and performance [A]. Proceedings of AUBE01'[C]. Gaithersburg: University of Maryland, 2001.
  • 2CLEAY T, GROSSHANDLER W, CHERNOVSKY A. Smoke detector response to nuisance aerosols[A]. Proceedings of AUBE99' [C]. Duisburg:University of Duisburg, 1999.
  • 3BABRAUSKAS V. Commentary designing products for fire performance: the state of the art of test methods and fire models [J]. Fire Safety J, 1995,24(5) : 299-312.
  • 4GOCKEL F. Fire sensor modeling and simulation[A]. Proceedings of AUBE01'[C]. Gaithersburg:University of Maryland, 2001.
  • 5SAATY T. Multi-criteria Decision Making: The Analytical Hierarchy Process [M]. [s l]: RWS Publication, 1980.
  • 6DUBOIS D, PRADE H. Fuzzy Sets and Systems:Theory and Applications[M]. New York:Academic Press, 1980.

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