In view of the problem that the configuration of electric energy data acquisition scheme based on empirical judgment is difficult to match the communication conditions of each station area, resulting in low acquisition efficiency, a communication protocol application diagnosis and optimization method based on interactive time is proposed. Firstly, the typical feature quantity is extracted according to the monitoring message analysis, and a communication interaction time model is established based on multiple linear regression and forgetting factor RLS. Then, the rationality of the current acquisition task cycle in the station area is diagnosed, and the message length is optimized by reading and combining data items and historical records. The application data shows that the task efficiency of 30-minute and 5-minute curve data acquisition is improved by 20% and 47% respectively, indicating that this method can improve the efficiency of the existing acquisition scheme.