A power communication training exercise teaching plan generation optimization method and system

Abstract

The application provides a power communication training exercise teaching plan generation optimization method and system, belonging to the technical field of power data processing. The method comprises the following steps: converting the teaching plan of a teacher into a teaching plan file with a set structure and verifying to obtain original teaching plan data, constructing a network topology graph, judging the topology type to generate a basic layout coordinate set; generating a layout prompt string, inputting a large language model to extract natural language evaluation features, constructing a state vector of reinforcement learning with the basic layout coordinate set, sampling actions to update the state vector; determining the optimization layout parameters based on the new state vector; setting the front-end visualization section to the current teaching scene, standardizing all operations of the teacher end into events to update the global event state, regenerating the front-end visualization section, and fusing the original teaching plan data into the latest teaching plan. The standardization degree of the teaching plan compilation is improved, the consistency and reproducibility of the layout are ensured, and the reusability and deployment efficiency are significantly improved.

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