Intelligent construction equipment dynamic scheduling technology based on dynamic time regularization algorithm

Due to the specific connection relationship between construction tasks, it is difficult to effectively control the time overhead of construction equipment when executing corresponding tasks. Therefore, an intelligent construction equipment dynamic scheduling technology based on a dynamic time regularization algorithm is proposed. We extract local extreme values of construction task time series, use a dynamic time warping algorithm to fit and analyze the progress of construction tasks, determine the deviation between actual progress and planned progress, establish an intelligent construction equipment dynamic scheduling model, and solve the model based on progress deviation. In the test results, the equipment completed the corresponding construction tasks in less than 70.0 hours, with an overall time consumption of 202.8 hours and a corresponding idle rate of less than 0.1.