Modeling method and system based on digital twin hydraulic power plant operation and maintenance data processing

The invention discloses a modeling method and system based on digital twin hydraulic power plant operation and maintenance data processing, and solves the problems that hydraulic power plant data cannot be fully utilized in hydroelectric business, facility equipment fault data in actual data is less, and the existing network model is insufficient in training and low in model precision due to imbalance of different fault data. According to the invention, the hydraulic power plant intelligent operation and maintenance system based on intelligent perception, an intelligent network, a data center, a twin power station, an intelligent brain and an intelligent application is constructed, so that the management of hydraulic power plant data from collection, transmission, analysis and utilization is realized; based on an adversarial neural network model and a twinning neural network model, a model is preliminarily trained for simulation data obtained by a twinning power station of a hydraulic power plant, and then a