一种基于边缘计算的变电站现场作业风险感知方法

A risk perception method for substation field operation based on edge computing

提出一种基于边缘计算的变电站现场作业风险感知方法。感知层利用电子经纬仪、激光测距仪采集变电站现场作业各项数据,利用边缘计算平台调取采集的现场作业数据,获取变电站现场作业数据中的风险数据,传输至云平台,基于风险数据构建现场作业风险评价指标体系,采用层次分析法确定各指标权重,进行风险评估,实时感知变电站现场作业风险。实验结果表明,该方法能够高效感知变电站现场作业风险,且数据接收时延控制在3 s内。使用所提方法可有效避免现场作业事故的发生。

This paper proposes a risk perception method for substation field operations based on edge computing.The perception layer uses electronic theodolites and laser rangefinders to collect various data of on-site operation in the substation,uses the edge computing platform to retrieve the collected on-site operation data,obtains the risk data in the on-site operation data of the substation and transmits it to the cloud platform.Based on the risk data,an index system for on-site operation risk assessment is constructed,and the weight of each index is determined by using the analytic hierarchy process to conduct risk assessment and perceive the on-site operation risk of the substation in real time.The experimental results show that the method can effectively perceive the risk of on-site operation in substations,and the data receiving delay is controlled within 3 s.The proposed method can effectively avoid the occurrence of field operation accidents.