In order to improve the applicability of the power handling equipment in the construction site and other complex road conditions,through the investigation and analysis on the development status of the power system and its control methods at home and abroad,an intelligent power control system was presented.The intelligent control model was established.Through the research on intelligent control of BP,it was found in the neural network could be used to identify and classify the input information,and the calculation was simple,easy to implement,but the lack of BP neural network was difficult to determine the number of hidden layer nodes,easy to fall into the local minimum.Therefore,the genetic algorithm was used to optimize BP neural network (GA-BP),and the concrete implementation method was designed.Collecting two kinds of condition data on flat and slope,ideal output data was given by artificial,the division were as the training data,GA-BP neural network and BP neural network were compared to train,the other were as the validation data,two kinds of network training results were tested.MATLAB was used for data simulation experiments to verify the feasibility of GA-BP neural network control method.The experimental results show that this control method can be used to effectively solve the adaptive control problem of the power handling device in complex road conditions.