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多传感器融合车载电池舱灭火方法研究

Research on fire extinguishing method of vehicle battery compartment Based on multi sensor fusion
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摘要 电动汽车属于汽车行业的支柱产业,越来越受到社会的重视,但随之产生的汽车安全问题也逐渐增多。电池舱属于复杂环境,易出现着火事件,本文开展多传感器融合车载电池舱灭火方法研究,运用温度、烟雾浓度传感器实现对火灾的实时监测。设计贝叶斯网络模型,并考虑到了传感器失效及误报,实验结果表明本系统具有良好的响应速度及稳定性,为相关领域研究提供了一种解决方法。 Electric vehicles is an important part of the automobile industry,and are increasingly valued by the society,but the resulting automobile safety problems are gradually increasing.The battery compartment is a complex environment and is prone to catch fire.In this paper,a multi-sensor fusion vehicle battery compartment fire extinguishing method is researched,and temperature and smoke concentration sensors are used to realize real-time monitoring of fire.The Bayesian network model is designed,and the sensor failure and false alarms are taken into account.The experimental results show that the system has good response speed and stability,and provides a solution for research in related fields.
作者 刘煜 周锐 赵杰 LIU Yu;ZHOU Rui;ZHAO Jie(Automobile Engineering Research Institute of Shanxi Heavy Duty Automobile Co.,Ltd.,Xi'an 710200,China)
出处 《汽车电器》 2021年第2期7-11,共5页 Auto Electric Parts
关键词 车载电池舱 贝叶斯网络 灭火方法 vehicle battery compartment Bayesian network fire extinguishing method
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  • 1付华,尹丽娜,汪琦.基于信息优化融合的煤矿井下环境安全监测技术[J].黑龙江科技学院学报,2007,17(2):112-115. 被引量:13
  • 2沈诗林,于春雨,袁非牛,陈志斌,张永明.一种基于视频图像相关性的火灾火焰识别方法[J].安全与环境学报,2007,7(6):96-99. 被引量:24
  • 3Y. Yang,H. He,G. Xu.Adaptively robust filtering for kinematic geodetic positioning[J].Journal of Geodesy (-).2001(2-3) 被引量:4
  • 4Stelios P. Mertikas.Automatic and Online Detection of Small but Persistent Shifts in GPS Station Coordinates by Statistical Process Control[J].GPS Solutions.2001(1) 被引量:1
  • 5M. G. Petovello,K. O’Keefe,G. Lachapelle,M. E. Cannon.Consideration of time-correlated errors in a Kalman filter applicable to GNSS[J].Journal of Geodesy.2009(1) 被引量:1
  • 6S. P. Mertikas,C. Rizos.On-line detection of abrupt changes in the carrier-phase measurements of GPS[J].Journal of Geodesy.1997(8) 被引量:1
  • 7Vipin V. Image processing based forest fire detection [ J ]. International Journal of Emerging Technology and Advanced Engineering, 2012,2(2) :87-95. 被引量:1
  • 8Angayarkkani K, Radhakrishnan N. Efficient forest fire de- tection system: A spatial data mining and image processing based approach [ J ]. International Journal of Computer Sci- ence and Network Security, 2009,9(3) :100-107. 被引量:1
  • 9Kandil M, Salama M. A new hybrid algorithm for fire vi- sion recognition [ C ]// EUROCON 2009. 2009: 1460- 1466. 被引量:1
  • 10Lecun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition [ J ]. Proceedings of the IEEE, 1998,86( 11 ) :2278-2324. 被引量:1

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