Introduction  With the increasing scale of investment in distribution network construction and the increasing number of engineering projects, there is considerable pressure on project progress control and project management in distribution network engineering projects. In order to achieve the control and management throughout the process and integrate resources, and to comprehensively improve the management level of distribution network construction, the research on scientific allocation of human and mechanical resources in distribution network construction is of great significance.

  Method  Firstly, through research and analysis of the logical relationships of various process links, the activity-on-node directed network diagram was used to establish a process model for each process of the distribution network engineering project; then, based on the analysis of factors affecting the project construction period in the whole process, a model for guiding the calculation of the construction period in the construction phase was established; finally, a scientific allocation method for human and mechanical resources in distribution network construction based on the genetic algorithm was proposed. The method provided data support for the allocation of different human and mechanical equipment resources throughout the project process in the time dimension, enabling optimal resource allocation and construction period prediction.

  Result  Based on a practical engineering project in a certain distribution network, a case study is constructed to analyze the effectiveness of the proposed method. The results show that the utilization of the proposed method can effectively shorten the construction period, and offer the daily distribution information of important resources and the critical path of the project, providing theoretical guidance for further shortening the engineering period.

  Conclusion  It can be seen that the proposed method effectively achieves the goals of resource allocation and assisting managers in decision-making, while increasing the resource utilization rate, indirectly reducing unnecessary resource costs, and improving the overall work efficiency of the project.