铁路电力智能监控系统的开发与实现
|
摘要
针对传统铁路电力监控系统存在监控过程不稳定,监控结果精度差等问题,设计基于SVC的铁路电力智能监控系统。系统包括直接监控层、过程优化层以及生产管理层,以TMS320F2812定点芯片作为DSP控制板处理器,实现铁路电力系统状态的信息采集、TCR光电触发板通信、数据输入输出及问题报警。利用TCR光电触发板进行铁路电力状态的监控。系统软件通过数据通信和传输程序实现本地数据通信及传输与远程数据通信,利用实时数据处理程序进行数据库维护、实时数据监测管理。实验结果表明,该系统能够实现实时、稳定、准确的铁路电力系统状态智能监控。
The traditional railway electric power monitoring system has the problems of unstable monitoring process and low monitoring precision. Therefore,an SVC-based intelligent monitoring system of railway electric power is designed. The system includes direct monitoring layer, process optimization layer and production management layer. The fixed-point chip TMS320 F2812 is used as the DSP control board processor of the system to realize the state information collection,TCR photoelectric trigger board communication,data input and output,and fault alarming of the railway electric power system. The TCR photoelectric trigger board is used to monitor the state of railway electric power. On the basis of the system software,the local data communication and transmission,and remote data communication are realized by means of data communication and transmission procedure,and the real-time data processing program is used to carry out the database maintenance and real-time data monitoring. The experimental results show that the system can realize the real-time,stable and accurate intelligent monitoring of railway electric power system state.
The traditional railway electric power monitoring system has the problems of unstable monitoring process and low monitoring precision. Therefore,an SVC-based intelligent monitoring system of railway electric power is designed. The system includes direct monitoring layer, process optimization layer and production management layer. The fixed-point chip TMS320 F2812 is used as the DSP control board processor of the system to realize the state information collection,TCR photoelectric trigger board communication,data input and output,and fault alarming of the railway electric power system. The TCR photoelectric trigger board is used to monitor the state of railway electric power. On the basis of the system software,the local data communication and transmission,and remote data communication are realized by means of data communication and transmission procedure,and the real-time data processing program is used to carry out the database maintenance and real-time data monitoring. The experimental results show that the system can realize the real-time,stable and accurate intelligent monitoring of railway electric power system state.
引文
[1]徐田华,杨连报,胡红利,等.高速铁路信号系统异构数据融合和智能维护决策[J].西安交通大学学报,2015,49(1):72-78.XU Tianhua, YANG Lianbao, HU Hongli, et al.Heterogeneous data fusion and intelligent maintenance decision for high speed railway signaling systems[J]. Journal of Xi’an Jiaotong University,2015,49(1):72-78.
[2]屈志坚,王冬.分布式配电网监测的流计算实时并行处理技术[J].电力系统及其自动化学报,2017,29(7):27-33.QU Zhijian, WANG Dong. Real-time parallel processing technique in stream computing for distributed monitoring of distribution network[J]. Proceedings of the CSU-EPSA,2017,29(7):27-33.
[3]段立明,郭锐锋,王凤海.面向智能监控的复杂多自主体系统设计与实现[J].小型微型计算机系统,2017,38(6):1394-1397.DUAN Liming,GUO Ruifeng,WANG Fenghai. Design and implementation of complex multi-agent systems for intelligent monitoring[J]. Journal of Chinese mini-micro computer systems,2017,38(6):1394-1397.
[4]郝思鹏,邹添天,陈婷,等.农网配电台区智能监控系统研发[J].电测与仪表,2014,51(23):94-98.HAO Sipeng,ZOU Tiantian,CHEN Ting,et al. Development of the intelligent monitoring system of the rural power grid distribution substation[J]. Electrical measurement&instrumentation,2014,51(23):94-98.
[5]司亚超,于江利,吕国.基于ZigBee技术的智能电网监控系统的研究和分析[J].电源技术,2014,38(4):783-784.SI Yachao,YU Jiangli,LüGuo. Research and analysis of smart grid monitoring system based on ZigBee technology[J].Chinese journal of power sources,2014,38(4):783-784.
[6]刘雨欣,张琼洁,张景景.基于Map/Reduce的电力监控系统规则挖掘技术研究[J].控制工程,2017,24(10):2156-2160.LIU Yuxin, ZHANG Qiongjie, ZHANG Jingjing. Power monitoring system rule mining research based on Map/Reduce[J]. Control engineering of China,2017,24(10):2156-2160.
[7]匡洪海,张曙云,曾丽琼,等.基于GPRS和GPS的农村智能配电网远程监控系统设计[J].电工电能新技术,2017,36(4):83-88.KUANG Honghai, ZHANG Shuyun, ZENG Liqiong, et al.Design of rural intelligent distribution network remote monitoring system based on GPRS and GPS[J]. Advanced technology of electrical engineering and energy,2017,36(4):83-88.
[8]林炳炎,郑茜颖,程树英.基于Android的智能视频监控系统[J].电视技术,2017,41(4):78-83.LIN Bingyan,ZHENG Qianying,CHENG Shuying. Intelligent video surveillance system based on Android[J]. Video engineering,2017,41(4):78-83.
[9]赵世运,刘华,李先明,等.寒区高速铁路路基变形智能监测系统设计与实现[J].冰川冻土,2014,36(4):944-952.ZHAO Shiyun, LIU Hua, LI Xianming, et al. Intelligent monitoring system for embankment deformation of high-speed railway in cold regions:Design and implementation[J]. Journal of glaciology and geocryology,2014,36(4):944-952.
[10]李金灿,陈皓勇.关于电力系统远程监控优化配置设计[J].计算机仿真,2016,33(3):389-394.LI Jincan, CHEN Haoyong. Optimization of remote monitoring for power system[J]. Computer simulation,2016,33(3):389-394.
[2]屈志坚,王冬.分布式配电网监测的流计算实时并行处理技术[J].电力系统及其自动化学报,2017,29(7):27-33.QU Zhijian, WANG Dong. Real-time parallel processing technique in stream computing for distributed monitoring of distribution network[J]. Proceedings of the CSU-EPSA,2017,29(7):27-33.
[3]段立明,郭锐锋,王凤海.面向智能监控的复杂多自主体系统设计与实现[J].小型微型计算机系统,2017,38(6):1394-1397.DUAN Liming,GUO Ruifeng,WANG Fenghai. Design and implementation of complex multi-agent systems for intelligent monitoring[J]. Journal of Chinese mini-micro computer systems,2017,38(6):1394-1397.
[4]郝思鹏,邹添天,陈婷,等.农网配电台区智能监控系统研发[J].电测与仪表,2014,51(23):94-98.HAO Sipeng,ZOU Tiantian,CHEN Ting,et al. Development of the intelligent monitoring system of the rural power grid distribution substation[J]. Electrical measurement&instrumentation,2014,51(23):94-98.
[5]司亚超,于江利,吕国.基于ZigBee技术的智能电网监控系统的研究和分析[J].电源技术,2014,38(4):783-784.SI Yachao,YU Jiangli,LüGuo. Research and analysis of smart grid monitoring system based on ZigBee technology[J].Chinese journal of power sources,2014,38(4):783-784.
[6]刘雨欣,张琼洁,张景景.基于Map/Reduce的电力监控系统规则挖掘技术研究[J].控制工程,2017,24(10):2156-2160.LIU Yuxin, ZHANG Qiongjie, ZHANG Jingjing. Power monitoring system rule mining research based on Map/Reduce[J]. Control engineering of China,2017,24(10):2156-2160.
[7]匡洪海,张曙云,曾丽琼,等.基于GPRS和GPS的农村智能配电网远程监控系统设计[J].电工电能新技术,2017,36(4):83-88.KUANG Honghai, ZHANG Shuyun, ZENG Liqiong, et al.Design of rural intelligent distribution network remote monitoring system based on GPRS and GPS[J]. Advanced technology of electrical engineering and energy,2017,36(4):83-88.
[8]林炳炎,郑茜颖,程树英.基于Android的智能视频监控系统[J].电视技术,2017,41(4):78-83.LIN Bingyan,ZHENG Qianying,CHENG Shuying. Intelligent video surveillance system based on Android[J]. Video engineering,2017,41(4):78-83.
[9]赵世运,刘华,李先明,等.寒区高速铁路路基变形智能监测系统设计与实现[J].冰川冻土,2014,36(4):944-952.ZHAO Shiyun, LIU Hua, LI Xianming, et al. Intelligent monitoring system for embankment deformation of high-speed railway in cold regions:Design and implementation[J]. Journal of glaciology and geocryology,2014,36(4):944-952.
[10]李金灿,陈皓勇.关于电力系统远程监控优化配置设计[J].计算机仿真,2016,33(3):389-394.LI Jincan, CHEN Haoyong. Optimization of remote monitoring for power system[J]. Computer simulation,2016,33(3):389-394.