摘要
针对火灾发生时的智能探测系统和方法进行研究。使用无线传感网络技术实现火灾探测传感单元的组网,提高传感单元的检测距离和可靠性。研究基于D-S证据理论的多传感器信息融合的火灾探测判别方法,将多个传感器的检测数据进行综合考虑,得出火灾发生的概率,提高火灾探测准确率。研究结果表明,使用多传感器融合方法后,对温度、CO或是烟雾传感器的数据进行全面考虑,判别火灾发生的概率和结果准确率较好,即使存在烟雾干扰信号的情况,可以有效屏蔽干扰信号,准确判断火灾发生。
In this paper, the intelligent detection system and method are studied in the paper. Using wireless sensor network technology, the network Of fire detection sensor units was real ized, and the detection distance and reliability of the sensing unit was improved. The fire detection and identification method combining information of multiple sensors based on D--S evi denee theory is studied, and the detection data of multiple sensors are considered, the probability of fire occurrence is ob tained, and the accuracy of fire detection is improved, the re sults show that using multi sensor fusion method, taking temperature, CO concentration and smoke concentration sensor data for comprehensive consideration, the fire occurrence proba bility and consequences of discrimination is better accuracy, in spite of the smog interference signals, it can effectively shield the dry signal interference and achieve accurate judgment.
出处
《消防科学与技术》
CAS
北大核心
2016年第5期647-650,共4页
Fire Science and Technology
基金
中南大学教师研究基金资助项目(2013JSJJ014)