摘要
针对现有安检系统缺乏对易燃易爆油气体采用快速有效监测措施的问题,提出一种易燃易爆油气体安检系统。系统主要由易燃易爆油气体监测模块、人脸抓拍模块两部分组成。易燃易爆油气体监测模块以STC12C5A56AD单片机为控制器,采用对挥发性易燃易爆油气体有较高灵敏度的费加罗TGS2620系列传感器,实现对受检人员的快速检测。人脸抓拍模块抓拍受检人员,将图像保存至数据库,供后期甄别。系统采用循环风道设计、BP神经网络人工智能算法及分级报警方案,有效增强整体安检效率。最后,在安检现场对系统进行测试,试验结果表明,易燃易爆油气体安检系统有良好的实用价值。
Aiming at the lack of effective detection measures for the flammable and explosive oil gas in existing security system,this paper proposes a flammable and explosive oil gas security inspection system.The system is mainly composed of flammable and explosive oil gas monitoring module and face capture module.The flammable and explosive oil gas monitoring module adopts the STC12C5A56AD MCU as the controller and uses the FIGARO TGS2620 series sensors with high sensitivity to volatile flammable and explosive oil gas to achieve rapid detection of the person under inspection.The face capture module captures the examinee and saves the image to the database for later screening.The system adopts circular air duct design,BP neural network of artificial intelligence algorithm and grading alarm scheme to effectively enhance the overall security inspection efficiency.Finally,the system was tested at the security inspection site.The test results showed that the system has good practical value.
作者
许连望
陈冲
XU Lianwang;CHEN Chong(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,Fujian 350116,China)
出处
《闽江学院学报》
2019年第5期41-48,共8页
Journal of Minjiang University
基金
国家自然科学基金(61304260)
关键词
易燃易爆油气体
安检
智能算法
人脸抓拍
flammable and explosive oil gas
security inspection
intelligent algorithm
face capture