基于神经网络的公交车易燃气体安全监测系统  

Bus Flammable Gas Safety Monitoring System Based on Neural Network

作　　者：林民 齐虹[1] LIN Min;QI Hong(College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350116, China)

机构地区：[1]福州大学电气工程与自动化学院,福建福州350116

出　　处：《闽江学院学报》2020年第2期58-67,共10页Journal of Minjiang University

摘　　要：针对当前公交车辆上缺乏有效安检手段、人为纵火事件频发的社会现象,设计了一种具有高灵敏度和准确报警功能的易燃气体安全监测系统。系统由监测终端、监测装置和人脸识别模块3个部分组成,通过采用先进的电化学式检测手段,并辅以Elman型神经网络算法和CS-LBP的人脸检测方法,实现了系统的功能需求。当监测装置检测到易燃气体浓度超标时,系统能够及时报警提示司乘人员,调用摄像头抓拍可疑人物的面部图片并上传至远程监控中心。在保障车上人员生命财产安全的同时,也能辅助公安部门后期调查,具有较高的应用前景和研究价值。The subject designs a class of flammable gas safety monitoring system with high sensitivity and accurate alarm function for the current social phenomenon of lack of effective security measures and frequent arson attacks on public transport vehicles.The system is divided into three parts:monitoring terminal,monitoring device and face recognition module.By adopting advanced electrochemical detection method and supplemented by Elman neural network algorithm and CS-LBP face detection method,the functional requirement of the system is finally realized.When the monitoring device detects that the concentration of flammable gas exceeds the standard,the system can promptly alert the person on the vehicle and call the camera to capture the facial image of the suspicious person and upload it to the remote monitoring center.While ensuring the safety of life and property of the people on the vehicle,it also assists polices’later investigations with high application prospects and research value.

关 键 词：易燃气体 电化学检测 Elman型神经网络 人脸识别 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置]