The invention relates to an artificial intelligence power repair system and method based on big data, and the system is characterized in that the system comprises a data information collection modulewhich collects data of power equipment, fault repair, meteorological information, traffic conditions, repair vehicle tracks, repair processing, and service evaluation in real time; a data platform building module which is used for building a Hadoop big data platform by applying a MapReduce technology, a Hive technology and an HDFS technology; a learning optimization module which is used for searching rules and knowledge from the data, realizing basic functions of fault image recognition, voice recognition, fault type study and judgment, future fault quantity prediction, intelligent order distribution and ETA estimation, and providing accurate basic information for intelligent decision making; And a decision providing module which is used for providing active decision and reminding servicefor rush-repair personnel through a full-process application voice assistant based on electric power rush-repair full-service scene recognition and prediction, and liberating the hands of the rush-repair personnel.