Auxiliary Decision Technology and Application of Power Grid Fault Disposal Based on Knowledge Understanding of Fault Preplan

Combined with the characteristics of power grid fault disposal, auxiliary decision-making technology and implementation architecture of power grid fault disposal that based on knowledge understanding of fault preplan are proposed. Natural language processing technology is used to structurally extract key information of the fault disposal preplan. On this basis, a fault disposal knowledge graph is established. The method can realize the intelligent decision-making and disposal of faults by online retrieving, matching knowledge graph information of real-time faults, automatically extracting key information of fault disposal, and automatic analysis and control navigation of disposal task. The application example shows that the proposed method can realize information extraction, system mapping, knowledge retrieval and construction of fault disposal platform based on fault disposal preplan. This method can effectively reduce the fault disposal pressure and improve fault disposal efficiency and intelligent level.