基于多信息融合的城市轨道交通车站安全预警研究

Urban Rail Transit Station Security Warning Based on Multiinformation Fusion

为提高城市轨道交通车站安全应急水平,利用D-S证据理论在不确定信息融合方面的优势,以及信息熵理论在指标权重确定方面的客观性优势,提出了城市轨道交通车站安全预警多信息融合的方法。通过构建城市轨道交通车站安全预警指标体系及其阈值,将D-S证据理轮和信息熵有效结合,实现对城市轨道交通车站安全状况进行预警分析。结果表明,该方法能正确客观反映城市轨道交通车站的安全程度,实现动态预警。

To improve the security emergency level at urban rail transit station, the advantages of D-S （Dempster/Sha- fer） evidence theory for uncertainty information fusion, the objectivity advantages of information entropy theory in index weight are employed to tion safety warning based on develop urban rail transit sta- multi-information fusion. By establishing a security early warning indicator system and the threshold value at urban rail transit station, the D-S ev- idence theory is effectively merged with information entro- py to implement security early warning analysis at urban rail transit station. The research shows that this method can objectively reflect the proper level of security at urban rail transit station and realize the dynamic warning.