本文通过某型舰弹药舱内多类型、多数量传感器合理配置与布局，阐明危险特征探测系统中的信息分类和干扰因素，具体介绍了火灾探测多元信息融合算法的原理、实现方法、实现过程和算法测试结果。
In this paper, through the rational allocation and layout of various types, most of sensors of a naval ammunition compartment, information classification and clarifies the characteristics of risk factors in the detection system, introduces the principle of fire detection, multi information fusion algorithm implementation, implementation process and method of test results.
2017,(): 174-178 收稿日期：2017-09-13
DOI：10.3404/j.issn.1672-7649.2017.12.037
分类号：U674.71
作者简介：景琰(1981-),女,工程师,主要从事弹库防火防爆领域
参考文献：
[1] Edward, Multisensor Data Fusion. W, JAMES L. 1990.
[2] THOMAS J M, JAMES M, TEKIN A K. Using multivariate statistical methods to detect fire[J]. Fire Technology. 1996. 32(1): 23-29.
[3] JAMES A M. Using multiple sensors for discriminating fire detection[J]. Fire Suppression and Research Application Symposium. Orlando FL. USA.l999: pp 150-164.
[4] 康耀红. 数据融合理论与应用 [M]. 西安: 西安电子科技大学出版社 1997.
[5] 何友. 多传感器信息融合及应用[M]. 北京: 电子工业出版社, 2000. 11.
[6] 藤召胜, 罗隆福, 童调生. 智能检测系统与数据融合[M]. 北京: 机械工业出版社, 1999. 12.
[7] 王丽萍, 基于多传感器信息融合技术的火灾探测系统研究[D]. 湖南: 湖南大学, 2006.
WANG Li-ping, Research on fire detection system based on multisensor information fusion technology[D]. Hunan: Hunan University, 2006.
