基于MEC和LoRa技术的换流站设备状态信息处理研究

Research on Equipment Status Information Processing of Converter Station Based on MEC and LoRa Technologies

针对换流站人工巡视采集设备状态信息效率低、难以深度分析和预测设备运行状态的现状,提出一种基于移动边缘计算(MEC)和LoRa通信技术的换流站设备运行状态信息处理方案。首先,分析了边缘计算与LoRa的技术优势,并将前者融入具有物联感知等特征的手持移动终端,用于采集被巡视设备的运行状态信息;其次,基于LoRa通信技术实现前端设备信息采集以及采用4G技术实现前端与后端系统的信息交互;最后,通过示例以及与人工信息采集方式的对比,验证了方案的可行性和优越性。

In view of the current situation that the manual patrol collection equipment status information of converter station is inefficient,and it is difficult to deeply analyze and predict the operating status of the equipment,a scheme for processing the operating status information of the converter station equipment based on mobile edge computing(MEC)and LoRa communication technologies is proposed.Firstly,the technical advantages of edge computing and LoRa are analyzed,and the former is integrated into the handheld mobile terminals with the characteristics of IoT awareness used to collect the operating status information of the equipment to be inspected.Secondly,based on LoRa communication technology,front-end device information collection is achieved,and 4G technology is used to achieve information exchange between front-end and back-end systems.Finally,the feasibility and superiority of the scheme are verified by cases and the comparison with manual information collection methods.