With the rapid development of the high mountain wind power industry, it is crucial to comprehensively consider various factors that affect maintenance work and scientifically and reasonably implement the maintenance of wind turbines in order to reduce operating costs and improve operational efficiency. This article focuses on the maintenance efficiency of the high mountain wind farm and proposes a maintenance and operation system based on colored Petri nets. After analyzing the entire process of maintenance and operation, corresponding colored Petri net models were constructed from top to bottom according to six hierarchical structures. Subsequently, the simulation tool CPN Tools was applied to simulate the maintenance and operation process, the results demonstrate that our CPN-based system significantly enhances fault response efficiency through predictive modeling and anomaly comparison analysis, while the introduced maintenance prioritization mechanisms effectively reduce operational costs and environmental impacts caused by failures.