Remote Status Digital Twin and Life Assessment of Transformer Based on Heterogeneous Data
At present,the remote operation and maintenance method based on robot inspection is difficult to build a comprehensive digital twin operation and maintenance system.The primary equipment of the substation,represented by the power transformer,is a state collection of electrical and various physical characteristics,and its accurate remote operation and maintenance and state analysis must be based on massive heterogeneous data.Taking transformer as an example,the construction method of transformer digital twin model and digital twin data layer technology are studied,the digital twin transformer model under sensor data is established,and the multi-source heterogeneous data fusion method is explored from three aspects,i.e.,physical model class,parameter class and cognitive model class.According to the life model constructed,in the 2-year operation stage,the aging effect of the transformer caused by temperature continuously accumulates in the working state,and finally its thermal life loss accumulates more than 360 h,which is consistent with the actual situation.
remote operation and maintenanceheterogeneous datadata fusiontransformer aging
万方数据
维普
