计算机工程与应用2017，Vol.53Issue(5)：231-235,5.DOI:10.3778/j.issn.1002-8331.1507-0231
基于模糊证据理论算法在火灾检测中的应用
Fuzzy evidence theory-based algorithm in application of fire detection
摘要
Abstract
Traditional fire detection algorithms confront such drawbacks as low accuracy and poor adaptability in complex fire detection environments. To deal with those problems, a new algorithm is proposed for fire detection with multi-sensor data fusion by combining fuzzy sets and with Dempster-Shafer theory. The proposed algorithm first estimates the fire state using the flame, smoke and temperature sensors, and then calculates the fuzzy memberships of these sensors according to the given fuzzy membership function. Besides, a method of sensor credibility calculation is introduced to improve the robustness of the detection system, and each membership and the corresponding credibility measured from the sensors will be transferred to the basic probability assignment function (mass function). Finally, evidence theory is applied to integrate the information of multiple measurements within a period. The results suggest that the proposed algorithm over-comes the drawbacks of instability and uncertainty in single-sensor algorithms, and improves the fire detection accuracy as well as the robustness.关键词
多传感器/火灾检测/模糊理论/D-S证据理论/数据融合Key words
multi-sensor/fire detection/fuzzy theory/D-S evidence theory/data fusion分类
信息技术与安全科学引用本文复制引用
段锁林,杨可,毛丹,任珏朋..基于模糊证据理论算法在火灾检测中的应用[J].计算机工程与应用,2017,53(5):231-235,5.基金项目
江苏省科技支撑计划项目(社会发展)(No.BEK2013671). （社会发展）
