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| Monitoring Data Management Information System for Ballastless Track Turnout on Elevated Station |
| CAI Xiao-pei，GAO Liang，LIU Chao，ZHENG Cheng，XIE Tao， SUN Guo –li |
| (1. Beijing Jiaotong University， Beijing 100044, China; 2. Beijing Engineering Research Center of Rail Traffic Line Safety and Disaster Prevention， Beijing 100044，China; 3. Wuhan Gungsheen Technology Development Company Limited，Wuhan，Hubei 430070，China) |
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Abstract Research purposes: Long - term monitoring system of high - speed railway infrastructure is developed to monitor the structure mechanical characteristics and deterioration behavior in real - time and ensure the safety and stability of high - speed trains. For the monitoring system which has the characteristics of multiple testing index，high sample frequency and large volume of data，it is urgent to manage and utilize the large volume of data in efficiency by using advanced information management tools. In this paper，based on the background of 42# turnout online monitoring field on elevated station in Beijing - Shanghai High - speed Railway，the monitoring data management information system is developed. It provides the technology platform for real - time query， analysis， statistics， prediction and alarm of structure service status. Research conclusions:(1) The monitoring data management information system for ballast less track turnout on elevated station is developed based on the B/S mode. The wireless network is used to transfer data in real - time，and the data is converted into unity type by the built - in design programs. (2) Internet users can query the data online by sensor serial numbers，monitoring indexes，box area location，and they also can make integrated query on history data for multip1e index and different structure. ( 3 ) The statistical report part can carry out data analysis over the same period of different year and the weekly，monthly，yearly reports. Moreover，it has the function of the data sorting for different indexes，and the data can be exported according to user requirements. (4) Based on the BP neural network，the prediction of structure force and deformation is achieved， and the automatic warning and alarming function is established by setting the threshold parameters. (5 ) The management information system can be applied in the field of railway maintenance management and monitoring technology， and it can provide the guidance for safety operation of the infrastructure in high -speed railway.
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Received: 03 September 2015
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2016, Vol. 33 
