论文部分内容阅读
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。
Research on intelligent detection system and method in case of fire. The use of wireless sensor network technology to achieve the fire detection sensor networking unit, sensing unit to improve the detection distance and reliability. This paper studies the method of fire detection based on D-S evidence theory for multi-sensor information fusion. The detection data of multiple sensors are comprehensively considered, the probability of fire occurrence is obtained, and the accuracy of fire detection is improved. The results show that the multi-sensor fusion method, the temperature, CO or smoke sensor data to conduct a comprehensive consideration to determine the probability of fire and the accuracy of the results better, even in the presence of smoke interference signal, you can effectively shield the interference signal , Accurately determine the fire occurred.