Abstract
With the wide application of deep learning technology in power grid inspection, it provides a strong guarantee for timely investigation of power grid hidden dangers and problems. However, the existing intelligent inspection technology has many problems, such as low detection accuracy, unbalanced data samples, relatively isolated inspection system and so on. It is urgent to establish a new intelligent inspection technology system. Digital twin technology can be highly integrated with advanced technologies such as Internet of Things and target detection to form effective monitoring, simulation and diagnosis of physical entities. Therefore, this paper summarizes the characteristics and technical system of digital power grid, expounds the integration application of digital twin and power grid inspection and detection, summarizes and introduces the construction method of digital twin technology in power grid operation and maintenance scenarios, and points out the problems and future directions of current digital twin application in power grid intelligent operation and maintenance. It provides a new theoretical method for intelligent patrol management of power grid facilities.
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