Abstract:In this paper, artificial intelligence algorithms are introduced into the power grid dispatch business. Combined with dispatch procedures and instruction specifications, the dispatch phone is converted into text information through a voice recognition platform in real time. Key words are extracted through semantic understanding and deep learning for the recognized text to identify and detect business scenarios. The extracted key information is used to verify and prevent errors on the grid operation platform based on the grid real-time status verification and scheduling business scenario rules. Alarms and prompts for irregular and incorrect scheduling instructions through the voice platform. Through the operation and operation of historical big data, it constantly learns and discovers laws, establishes a perfect knowledge map of dispatching services, and continuously improves the accuracy of voice recognition and the accuracy of scene detection, thereby realizing the function of 24-hour security supervision of dispatching telephone services. The system realizes full chain intelligent anti-misoperation management and control of the entire process status and current flow, which can solve the problems of dispatching wrong orders and misoperations when the phone is ordered due to inadequate monitoring, irregular orders, and incorrect understanding of scheduling instructions.