The invention discloses an
electric power first-aid repair progress pushing method based on
machine learning, and belongs to the field of
electric power, and the
electric power first-aid repair progress pushing method based on
machine learning comprises the steps: 1, building an electric power first-aid repair progress short message sending logic; 2, establishing a power failure sensitive customer
database; step 3, presetting a power line repair short message template; and step 4, intelligently pushing the emergency repair progress short message. According to the method, customers who make calls in recent two years to reflect the power failure problem are collected, key information is extracted from telephone records through ASR and NLP, the information is integrated with information in a PMS 3.0 and marketing 2.0
system to construct a power failure sensitive customer
database, an RPA tool is used for being connected with the power failure sensitive
database, a power failure area is compared with a customer address, customer data are extracted, and the power failure sensitive customer database is established. Power failure sensitive clients in a power failure range are screened out, and the RPA tool automatically calls a short message sending platform and sends a generated short message to the corresponding
client; and the pushing of the power repair progress of the power
system is more accurate and efficient.