摘要
针对传统火灾报警系统存在可靠性低、误报率高的问题,设计一套基于CAN总线和模糊推理的地铁列车火灾报警系统。使用分布式结构和冗余,进行系统总体方案设计。根据功能需求设计列车火灾报警控制器和火灾复合探测器。考虑多传感器数据融合,提出使用复合数字滤波法和模糊推理解决火灾检测准确率低的问题。仿真结果表明,使用多数据融合和模糊推理有效提高了火灾检测的准确性。
Aiming at the low reliability and high false alarm rate of traditional fire alarm system,a subway train fire alarm system based on CAN bus and fuzzy reasoning is designed.By using the distributed structure and redundancy,the overall system was designed.Train fire alarm controller and fire composite detector were designed according to functional requirements.Considering multi-sensor data fusion,composite digital filtering method and fuzzy reasoning were proposed to solve the problem of low fire detection accuracy.The simulation results show that the use of multi-data fusion and fuzzy reasoning effectively improves the accuracy of fire detection.
作者
苏醒
李鸿
姜俊彤
Su Xing;Li Hong;Jiang Juntong(School of Electrical and Information Engineering,Changsha University of Science&Technology,Changsha 410114,Hunan,China)
出处
《计算机应用与软件》
北大核心
2021年第6期94-97,共4页
Computer Applications and Software
作者简介
苏醒,硕士生,主研领域:交通信息工程及控制。;李鸿,教授。;姜俊彤,硕士生。
