LoRa技术在油田数据采集系统中的应用

Application of LoRa Technology in Oilfield Data Acquisition System

梅大成 陈亚萍 贺靖淇 岳林

MEI Dacheng CHEN Yaping HE Jingqi YUE Lin

西南石油大学计算机科学学院, 四川 成都 610500

School of Computer Science, Southwest Petroleum University, Chengdu, Sichuan 610500, China

针对现有网络通信技术在复杂油田环境中组网困难和超高功耗的问题，采用低功耗、超长距离无线通信LoRa技术以提高网络通信技术在智慧油田数据采集系统中的精度和实时性，降低组网难度。通过对LoRaWAN无线标准协议和轮询时隙分配算法的研究，设计了一种基于LoRa扩频技术的差异性时隙分配策略的无线数据采集方法，在OPNET 14.5平台对改进的方法进行仿真。仿真结果表明，使用该方法的自组网络吞吐量相比固定时隙分配策略有了明显的提高，有效降低了重要数据节点数据上报周期，增加了网络信道的利用率，该方法可进一步实现油田数字化建设。

In view of the complex networking and ultra-high power consumption of existing network communication technologies in complex petroleum environments, LoRa, a low-power, ultra-long-range wireless communication technology, is used to improve the accuracy and real-time performance of existing network communication technologies and reduce the difficulty of networking in the intelligent oilfield data acquisition systems. According to the research of LoRaWAN wireless standard protocol and polling time slot allocation algorithm, a wireless data acquisition method based on LoRa technology for differential time slot allocation strategy was designed. The improved method was simulated on OPNET 14.5 platform. Through simulation, the throughput of the ad hoc network using this method is significantly improved compared with the fixed time slot allocation strategy, which effectively reduces the data reporting period of important data nodes, increases the utilization of network channels, and improve digital construction of oilfields.

10.11885/j.issn.1674-5086.2020.05.25.03