安检智能集中判图系统在南宁城市轨道交通全自动运行线路中的应用

Application of Security Inspection Intelligent Centralized Image Judgment System in Nanning Urban Rail Transit FAO Line

通过分析安检智能集中判图系统的构成和功能,提出安检智能集中判图的设置方案。以城市轨道交通FAO(全自动运行)线路、车站、集中站为单位建立独立的集中判图中心,同时利用基于深度学习的智能算法对安检图像进行辅助判别,通过智能判图与集中判图相结合的方式,实现真正意义上的智慧化检物。各条线路可根据具体客流、里程、车站数量选择合适的安检智能集中判图方案。以南宁轨道交通5号线一期工程为例,对其进行经济效益分析,发现通过安检智能集中判图系统可以有效减少人力成本,实现城市轨道交通安检判图工作的减员增效。

By analyzing the composition and functionality of security inspection intelligent centralized image judgment system, setting schemes are proposed. Independent centers for centralized image judgment are established in units of urban rail transit FAO(fully automatic operation) line, station and centralized station. Meanwhile, intelligent algorithm based on deep learning assists in the judgment of security inspection images. By combining intelligent and centralized image judgment methods, the real intelligentized inspection is achieved. For each line, an appropriate security inspection intelligent centralized image judgment scheme can be selected according to the specific passenger flow volume, mileage and number of stations. Taking Nanning Rail Transit Line 5 phase I project as an example, the economic benefit analysis shows that the security inspection intelligent centralized image judgment system can effectively reduce labor cost and realize both personnel reduction and efficiency improvement in the image judgment process.