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.