Automatic Integration Method of Substation Operation Status Information Based on Digital Twin Technology
Due to the high discreteness of substation condition monitoring information and equipment operation data,there is a problem that leads to inaccurate fusion of information features,resulting in low integration fault tolerance.Therefore,an automatic integration method of substation operating status information based on digital twin technology is proposed.The machine learning algorithm is used to collect data,classify and filter the collected state information,establish the hierarchical mapping relationship between physical and virtual substations,and obtain the data feature fusion range.Combined with digital twin embedding dimension,fused running state information.Then the allocation coefficient and state operator of the local database are obtained,and the automatic integration is realized through the unified semantic objective function.Experiments show that the proposed method has high fault tolerance and excellent performance.
digital twin technologysubstationinformation sequencefeature fusioninformation integration
万方数据
维普
