UPS system power supply topological graph generation method based on machine learning

The invention relates to a UPS system power supply topological graph generation method based on machine learning, in particular to the field of power systems, sensor data and information data can be displayed in a topological graph generated by a model through the relation between the sensor data and the information data and conversion mapping of topological graph data, modes and laws are learned from the power system data, and the power supply topological graph generation efficiency is improved. According to the method, the power supply topological graph is generated, the accurate power supply topological graph is generated, the generation efficiency and accuracy are greatly improved, key nodes in a power system can be identified by generating the power supply topological graph, comprehensively analyzing the reliability of the UPS system and utilizing a machine learning algorithm, and the power supply topological graph can be rapidly and accurately drawn by monitoring and analyzing real-time data. 本发明涉及基于机器学