基于WSN的电站电气设备监测系统设计
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摘要
无线传感器网络因其自组网能力强、成本低、部署灵活等优点,已被广泛应用到大型设备的状态监测系统中。采用高性能AT91SAM9X25作为网关主微处理器,选择ZigBee片上系统解决方案CC2530作为节点主控芯片,搭建了一个多传感器节点、智能网关、上位机组成的电气设备运行状态监测系统。通过传感器技术,无线通信技术和微处理器技术的综合应用,实现对电力设备运行时数据的实时采集和处理。经过测试,监测系统能较好的完成电气设备的数据采集,为电气设备的安全稳定运行提供支撑,具有实际的工程应用价值。
Wireless sensor networks have been widely applied to the condition monitoring system of large-scale equipment because of their advantages of strong self-organizing network, low cost and flexible deployment. High-performance AT91 SAM9 X25 is used as the gateway main microprocessor, ZigBee system-on-chip solution CC2530 is selected as the node master chip, and a multi-sensor node, intelligent gateway and host computer are built to monitor the operating status of electrical equipment. Through the integrated application of sensor technology, wireless communication technology and microprocessor technology, real-time data acquisition and processing of power equipment runtime data is realized. After testing, the monitoring system can better complete the data acquisition of electrical equipment, providing support for the safe and stable operation of electrical equipment, and has practical engineering application value.
Wireless sensor networks have been widely applied to the condition monitoring system of large-scale equipment because of their advantages of strong self-organizing network, low cost and flexible deployment. High-performance AT91 SAM9 X25 is used as the gateway main microprocessor, ZigBee system-on-chip solution CC2530 is selected as the node master chip, and a multi-sensor node, intelligent gateway and host computer are built to monitor the operating status of electrical equipment. Through the integrated application of sensor technology, wireless communication technology and microprocessor technology, real-time data acquisition and processing of power equipment runtime data is realized. After testing, the monitoring system can better complete the data acquisition of electrical equipment, providing support for the safe and stable operation of electrical equipment, and has practical engineering application value.
引文
[1]雷景生,苏峰,刘大明.基于WSN的智能用电监测节点的设计[J].上海电力学院学报, 2016, 32(2):115~119.
[2]王潇.基于WSN的无人值守变电站定位跟踪算法[D].华北电力大学, 2016.
[3]刘耀先.基于无线传感器网络的配电网故障监测研究[D].华北电力大学, 2016.
[4]苏巴斯·钱德拉·穆克帕德亚,梁伟.智能感知、无线传感器与测量[M].机械工业出版社, 2016.
[5]莫建平.基于无线传感器网络的智能家居系统设计与研究[D].广西大学, 2011.
[6]董丹丹,刘波峰,董曦,等.基于ETLB-DEEC精细农业无线传感器网络研究[J].传感技术学报, 2017,(12):1918~1924.
[7]黄充.无线传感器网关的研究与设计[D].电子科技大学, 2016.
[8]李静,彭海云.基于分布式算法执行替代链的WSN故障节点检测和替代方法[J].计算机应用研究, 2016, 32(2):557~561.
[9]田浩衫,李翠然,谢健骊.基于时序蒙特卡洛算法的WSN节点定位算法[J].传感器技术学报, 2016, 19(11):1724~1730.
[2]王潇.基于WSN的无人值守变电站定位跟踪算法[D].华北电力大学, 2016.
[3]刘耀先.基于无线传感器网络的配电网故障监测研究[D].华北电力大学, 2016.
[4]苏巴斯·钱德拉·穆克帕德亚,梁伟.智能感知、无线传感器与测量[M].机械工业出版社, 2016.
[5]莫建平.基于无线传感器网络的智能家居系统设计与研究[D].广西大学, 2011.
[6]董丹丹,刘波峰,董曦,等.基于ETLB-DEEC精细农业无线传感器网络研究[J].传感技术学报, 2017,(12):1918~1924.
[7]黄充.无线传感器网关的研究与设计[D].电子科技大学, 2016.
[8]李静,彭海云.基于分布式算法执行替代链的WSN故障节点检测和替代方法[J].计算机应用研究, 2016, 32(2):557~561.
[9]田浩衫,李翠然,谢健骊.基于时序蒙特卡洛算法的WSN节点定位算法[J].传感器技术学报, 2016, 19(11):1724~1730.