首页> 中文期刊> 《铁道学报》 >基于科学工作流的铁路行车安全评价系统研究

基于科学工作流的铁路行车安全评价系统研究

         

摘要

针对铁路运输中列车安全评价的实际需求,依据科学工作流理论,提出一种基于开源软件Kepler的评价系统,从而有效实现行车安全预警并提供辅助决策依据.该系统主要通过扩展Kepler构建:一方面,实现多源监测数据的自动收集和共享融合;另一方面,增加Kepler的流程管控能力和个性化Web界面.在此基础上,针对列车运行特点,建立模糊综合评价的Kepler流程,对状态不良列车进行跟踪和综合评价,将数据和计算过程灵活组合成一套可配置的、自动化的科学计算流程.以部分现实数据为例,使系统的有效性得到验证.本系统不但能够有效解决行车安全评价问题,而且适用面广,也可应用于其他领域的评价问题.%In view of the practical need for safety evaluation of trains in railway transports novel evaluation system was proposed on the basis of the open source scientific workflow system------Kepler------to evaluate trainrnoperation safety and provide assistance to decision-making in management. This system was constructed by extending Kepler in the following two aspects: On one hand, automatically collecting and sharing multi-source monitoring data;on the other hand,extending Kepler's control capabilities and adding the personalized Web interface. Then,according to the operational characteristics of trains,the analysis processes were designed in this system,which could evaluate the current state of trains comprehensively and returned the real-time status of security for users. So this system could flexibly combine the data and calculations into a configurable,structured, automated computing solution. Finally,the application of some monitoring data was illustrated to verify the effectiveness of the system. It is seen that the proposed system can be applied in railway transport, and it is also suitable to a wide range of research fields to solve complicated problems.

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