基于LoRaWAN的液压支架状态监测系统

Hydraulic support condition monitoring system based on LoRaWAN

针对现有液压支架状态监测系统通信不稳定、抗干扰能力差等问题,设计了一种基于LoRaWAN的液压支架状态监测系统。传感器节点采用速率自适应技术周期性上传数据,出现异常状态时可主动上传数据,并采用顺序轮询方式降低传输误差率;网关通过独立的上下行信道同时传输上下行指令,降低了上下行指令碰撞概率,提高了数据转发效率。为保证综采工作面信号覆盖,在巷道转角处安装网关,通过一次跳传将综采工作面LoRa无线信号转发至应用平台。实验结果表明,该系统可有效覆盖整个综采工作面,实现了液压支架状态信息监测,通信距离为150 m时,数据传输丢包率为0,单个传感器节点数据传输时间约为0.29 s,系统采集周期在200 s内,满足应用需求。

In view of unstable communication and poor anti-interference ability of the existing hydraulic support condition monitoring system,a hydraulic support condition monitoring system based on LoRaWAN was designed.Sensor nodes use rate adaptive technology to periodically upload data,and can actively upload data in case of abnormal conditions,and use sequential polling to reduce transmission error rate;gateways simultaneously transmit uplink and downlink commands through independent uplink and downlink channels,which reduces collision probability of uplink and downlink commands,and improves data forwarding efficiency.In order to ensure signal coverage of fully mechanized mining face,a gateway is installed at the corner of the roadway,and the LoRa wireless signal of the fully mechanized mining face is forwarded to application platform through a jump transmission.Experimental results show that the system can effectively cover the entire fully mechanized mining face and realize condition monitoring of hydraulic support,when communication distance is 150 m,the data transmission packet loss rate is 0,and the data transmission time of a single sensor node is about 0.29 s,the system acquisition cycle is within 200 s,which meets application requirements.