中文摘要：

研究目的：开展高速铁路基础设施的长期监测,可实时感知结构的力学特性和劣化行为,确保高速列车的安全、平稳运行。针对当前在线监测系统测试指标多、采集频率高、数据量大的缺点,迫切需要采用先进的信息化管理手段对海量数据进行高效管理和利用。本文以京沪高速铁路高架站42号道岔在线监测工点为背景,研发监测数据管理信息系统,为结构服役状态的实时查询、分析统计、预测与报警提供技术平台。研究结论：（1）基于B/S结构建立了高架站无砟轨道道岔监测数据管理信息系统,基于无线网络进行监测数据传输,采用内置设计程序将数据转化为统一格式;（2）网络用户可按照传感器编号、监测指标及箱区位置等进行数据查询,还可进行不同结构间多指标历史数据的综合查询;（3）系统的统计报表部分可实现监测数据的同比分析、周报表、月报表和季度报表,可进行各指标监测数据的排序,还可根据用户要求进行相关数据导出;（4）以监测数据为输入,基于BP网络可实现结构受力、变形的预测功能,参照设定阈值可进行自动预警和报警;（5）该系统应用于铁路工务管理及监测技术领域,可为高速铁路基础设施安全运营提供指导。

英文摘要：

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 ballastless 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 muhiple 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 infrast