Construction of an Artificial Intelligence Standard Knowledge Computing Engine System for Power Grid Equipment

The artificial intelligence standard knowledge computing engine system for grid equipment construction was applied to realize the functions of real-time monitoring, fault diagnosis, predictive analysis and optimization decision-making for grid equipment. The approach starts with overall system engineering, starting with grid equipment data acquisition and initial processing, followed by feature extraction and model training. In terms of model selection, according to the features and requirements of power grid equipment, suitable artificial intelligence models and algorithms were selected. The model was optimized, and the model parameters were adjusted in the study. Ultimately, an artificial intelligence standard knowledge computing engine system was built to realize the analysis and decision support of power grid equipment. Through the analysis and prediction of grid equipment data, the system could accurately identify the equipment faults, states and behaviors; and provide timely decision support.