Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network

Power transmission and transformation project (PTTP) is a crucial part of the power system, and during the construction process, various special situations may be faced, such as adverse weather conditions, resource scarcity, etc. These factors may affect the project schedule. Therefore, the optimization of the construction period for PTTPs has important practical significance. The article conducted research on the optimization of construction period in special construction scenarios of PTTPs, and proposed a construction period optimization model based on BP (Back Propagation) neural network. Firstly, the special scenarios in the construction of PTTPs and the importance of schedule optimization were analyzed. Then, a schedule optimization model based on BP neural network was proposed, and the model was described and analyzed in detail. Subsequently, model validation and experimental analysis were conducted using actual case data, and the results showed that the model had good performance in optimizing the construction period, with a maximum optimization period of 3.7 days, while also improving safety and resource utilization.