基于物联网大数据的变电站远程选址研究

Research on Substation Remote Location Model Based on Internet of Things Big Data

变电站选址中受到多种因素约束,导致选择的变电站位置不佳。为此,设计基于物联网大数据的变电站远程选址模型。模型部分采用大数据处理技术处理数据,主要包括数据归一化处理、异常数据挖掘和数据融合三个步骤,在基本数据处理后,将运输费用最低与各项对象损失费用最小作为目标函数,设计自动选址定位流程,实现变电站远程选址最优化。实验结果表明,设计的模型有效降低选址的费用,符合变电站选址需求。

The location of substation is constrained by many factors,which leads to the poor location of substation.Therefore,a substation remote location model based on Internet of things big data is designed.In the model part,the big data processing technology is used to process the data,which mainly includes three steps:data normalization processing,abnormal data mining and data fusion.After the basic data processing,the minimum transportation cost and the minimum loss cost of each object are taken as the objective function to design the automatic location selection and positioning process to optimize the remote location of the substation.The experimental results show that the designed model can effectively reduce the cost of substation location and meet the needs of substation location.