Substation Knowledge Graph Question Answering Algorithm based on Deep Learning

A substation knowledge graph intelligent Q&A algorithm based on deep learning was designed to provide users with more effective self-service Q&A services. The algorithm first performs power segmentation, dividing the question into a head entity and the intent. The head entity part uses the AC automatic algorithm and similarity matching. For the intent part, the algorithm first performs template matching, and then uses deep learning to extract relationships and identify semantic relationships. The test results show that the algorithm can accurately answer questions related to preventing errors at substations.