Computer Aided Maintenance (CAM+) Framework and Key Technologies Towards Digital Twin Transformers

It is of significant value to develop digital twin transformers to support the intelligent operation and maintenance of power equipment. Currently, transformer possesses the general functions of computer-aided design and engineering simulation, however, the operation and maintenance oriented scenarios and performance digital twins are still in their infancy. Therefore, this paper proposes a new pattern which further expands computer-aided design, engineering simulation, and manufacturing into computer-aided maintenance+ (CAM+) for electric power equipment, including functions such as scenario updating, virtual-real fusion, fault location, and intelligent operation and maintenance. Firstly, this paper introduces the connotation of CAM+, and proposes the technical architecture of CAM+ pattern for digital twin transformers by combining the digital twin architecture of power equipment. Then, the key technologies involved in the CAM+ pattern, such as 3D scene visual modelling, high-precision sensing, coupled multi-physical field modeling and fast computation, dynamic deduction of virtual-real fusion, multi-source data fusion, intelligent assessment of state, and knowledge graph, are overviewed. Finally, the application of CAM+ for transformer scenario updating, parametric twinning and intelligent operation and maintenance is analyzed and the future challenges and directions of CAM+ are summarized.