Abstract: In order to improve the automation operation level of unmanned wind farms and solve the shortcomings of traditional systems in fault response, remote collaboration, and intelligent diagnosis, this paper takes the construction of a closed-loop system for full process automation operation as the research object. By introducing key technologies such as system layered architecture, communication network topology, intelligent perception, collaborative optimization, and model free distributed control, the performance of the system in fault diagnosis accuracy, instruction response delay, power allocation error, and data security is analyzed. The research results indicate that the designed system architecture and key technologies significantly improve the operational efficiency, reliability, and intelligence level of wind farms, meeting the requirements for efficient and closed-loop operation under unmanned conditions.