Abstract: This paper focuses on the optimization of the 220 kV power transmission line tower erection and line stringing technology in desert environments. By analyzing the data of 500 tower foundations, an adaptive line stringing process optimization design scheme based on deep reinforcement learning is proposed. This scheme can automatically generate an optimized plan that meets the requirements for safety, economy, and resistance to wind and sand based on input parameters such as tower type, height, span, and geological conditions. The research findings of this paper provide technical support for the design of power transmission lines in desert areas and are expected to promote the development of power engineering construction towards more efficient, reliable, and economical directions.