The invention provides a
wind power plant maintenance decision-making method and
system based on a large
language model, and the method comprises the steps: obtaining the fault
windmill information and maintenance information of a
wind power plant for solving through building a
wind power plant maintenance model, and obtaining a maintenance scheme. Further, in order to automatically obtain a maintenance scheme,
simulation data are randomly generated, the wind power
plant maintenance model is used for solving the maintenance scheme, the
simulation data and the maintenance scheme are used for constructing training data to form a
training set, and then the
training set is used for performing
fine tuning training on a large
language model; and finally, inputting current wind power plant
data information into the large-scale
language model, and giving a maintenance scheme by the trained large-scale language model. In order to enable input collection information to have
readability, a structured cue word template is used, needed collection information boxes are embedded into the structured cue word template to form structured cue words, the structured cue words are input into a large-scale language model, the language
processing capacity of LLM is utilized, problems are fully and consistently described, and therefore the accuracy of the information collection information is improved. The understanding of the
optimization problem can be deepened step by step along with training, and a stable output result is generated.