边云协同感知的直流合成电场测量系统

Measurement system of DC total electric field based on edge-cloud collaboration sensing

由于布置地点分散、接入的测量探头较多以及测量时间长从而数据量大,传统的直流合成电场测量方式存在效率低下、成本高昂、数据难以共享等不足。为解决上述问题,本文提出并实现了边云协同感知的直流合成电场测量系统,构建了系统的总体架构,阐述了边缘计算系统的硬件设计实现、边云交互机制,最后列举了云端计算系统的存储、监控与决策等功能。该系统能满足电场测量中对增强设备状态感知、降低网络带宽、实时处理电场数据与多人协作共享的需求,可以为能源互联网的实际应用提供技术支撑。

Due to the scattered locations,many connected measurement probes,and long measurement time,a large amount of data are generated.Traditional DC total electric field measurement method has obvious disadvantages,such as low efficiency,high cost,and difficulty in data sharing.In order to solve above problems,this paper proposes and implements a DC total electric field measurement system for edge-cloud collaborative sensing,constructs an overall system architecture,expounds the hardware design and implementation of the edge computing system,the edge-cloud interaction mechanism,and finally lists the cloud computing system storage,monitoring and decision-making functions.This system can meet the requirements for enhancing the awareness of equipment status,reducing network bandwidth,and that of real-time processing of electric field data and multi-person collaborative sharing in electric field measurement.It can provide technical support for practical application of energy Internet.