The invention provides a power equipment knowledge graph application system. The power equipment knowledge graph application system comprises a basic data module, a big data technology platform layermodule, a fault analysis model layer module and an information real-time reflection application layer module. The basic data module is used for recombining and constructing the big data technology platform layer module. The big data technology platform layer module is used for constructing a big data sharing resource pool, extracting and mining the big data shared resource pool to generate a knowledge graph of the fault analysis model layer module. The knowledge graph comprises a knowledge ontology and a fault diagnosis service flow. The power equipment knowledge graph application system provided by the invention can realize power grid real-time monitoring, prediction and early warning analysis, shorten troubleshooting time, greatly improve the efficiency of eliminating power equipment faults, and ensure rapid recovery of normal operation of power.