摘要
针对水电站辅机设备监测中面临的测点分散、数据多源、施工及布线复杂问题,提出基于无线传感网络技术,利用WiFi承载Modbus的无线传感网络协议体系和组网方案。首先对WiFi的时序进行重新定义,减少消息类型和节点状态,简化无线通信协议流程。其次优化了WiFi的MAC帧格式,分配更多字段给Payload Type,同时将Modbus协议嵌入WiFi协议中,充分扩展WiFi数据帧容量,构建了一个新的通信协议。最后在大渡河枕头坝水电站对该无线传感网络协议进行了应用测试,测试结果表明分散数据源无线传输能力强、通信可靠性高,选择40 MHz的信道带宽综合性能表现最好,在出现信道占用的情况下,采取提高TTL延拓设定策略,可以有效减少丢包率,保证数据的完整性。该系统对于监测设备分散、复杂的工业监测场景,具有应用推广价值。
In view of the problems in monitoring auxiliary equipment of hydropower station,such as scattered measurement points,multi-source data,construction and wiring,a wireless sensor network protocol system and networking scheme based on wireless sensor network technology and using WiFi to carry Modbus were proposed.Firstly,the time sequence of WiFi was rede-fined to reduce message types and node states to simplify the wireless communication protocol process.Secondly,the MAC frame format of WiFi was optimized,and more fields were assigned to Payload Type.Meanwhile,Modbus protocol was embedded into WiFi protocol to expand the capacity of data frame,and a new communication protocol was constructed.Finally,the application test of this wireless sensor network protocol was carried out in Dadu River Zhentouba hydropower station.The test results show the decentralized data source has strong wireless transmission ability and high communication reliability,and the comprehensive per-formance of 40 MHz channel bandwidth is the best.In the case of channel occupancy,adopting the TTL extension setting strategy can reduce the packet loss rate and ensure data integrity.The system is of great application value to the industrial monitoring scene where the monitoring equipment is scattered and complex.
作者
姚云
颜佳
付彦伟
张鑫瑶
易建波
YAO Yun;YAN Jia;FU Yanwei;ZHANG Xinyao;YI Jianbo(Guoneng Dadu River Zhentouba Hydropower Development Co.,Ltd.,Chengdu 614700,China;Power System Wide-area Measurement and Control Key Laboratory of Sichuan Provincial,University of Electronic Science and Technology of China,Chengdu 611731,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2023年第12期63-68,共6页
Instrument Technique and Sensor
基金
四川省科技厅重点研发计划项目(2022YFG0120)。
