The application belongs to the field of intelligent water-saving question and answer, and particularly relates to a water-saving
intelligent agent interactive control method and
system based on knowledge-enhanced reasoning, which generates a water-saving demand intention graph by analyzing user dialogue voice, performs
reverse order matching in a pre-constructed water-saving strategy feature tree according to the hierarchical relationship to obtain a candidate node set, calculates the demand-strategy
adaptation benefits of each node by using an enhanced reasoning model, directly generates a response scheme when the benefits meet the standard, dynamically generates a new strategy by model reasoning and mounts it to the corresponding node of the strategy tree when the benefits do not meet the standard, and finally converts the optimal scheme into an
intelligent agent response instruction and outputs through voice or interface interaction; the application realizes intelligent matching and dynamic optimization of water-saving strategies, and significantly improves the accuracy and adaptability of the water-saving question and answer
system.