Abstract: In order to cope with the industry’s stubborn problems of “mining fast and digging slow” and “digging fast and supporting slow” in coal mine roadway excavation, parallel operation of digging and anchoring is realized through intelligent technology to improve the efficiency and safety of excavation. Based on the background of the national coal industry intelligentization policy, combined with the progress of domestic and foreign advanced anchor digging technology and equipment, a set of multi-rig cooperative support program is proposed. In terms of the permanent support process, the number of anchor rods and anchor cables and layout parameters are calculated by establishing a mechanical balance model to ensure that the support strength meets the safety requirements. Through the surrounding rock stress analysis to determine the anchor support resistance, the optimal support density and arrangement of anchor rods are deduced. In terms of drilling rig layout analysis, the drilling and anchoring system is abstracted as a spatial three-dimensional arrangement model with multiple rows and multiple drilling forms working together, and the number and position of drilling rigs are optimized through spatial constraints, so as to maximize the utilization efficiency of the drilling and anchoring platform space within the limited roadway space. For the problem of optimizing the efficiency of parallel operation of drilling and anchoring, a time model of drilling and anchoring process is established, and the system drilling and anchoring time is minimized by optimizing the sequences of anchor mesh installation and anchor rod and anchor cable operation. To solve the problem of long drilling and anchoring time due to the low efficiency of multi-rig coordination, a three-dimensional spatial moving coordinate system is innovatively established for the roadway, where the anchor rods and anchors are abstracted as spatial coordinate points, the position of the drilling rigs is fixed on the x-axis, and the Euclidean distances are utilized to calculate the moving paths, which provide an accurate spatial basis for the task allocation. On this basis, a dynamic resource scheduling model is constructed, which describes the task allocation as a matrix optimization problem, and the objective function focuses on the maximum working time of a single rig when the rigs work together, and incorporates rig constraints, work capacity constraints and range constraints. The optimization algorithm adopts an improved non-dominated sorting genetic algorithm to solve the multi-objective conflict problem through integer coding, sequential crossover, hybrid mutation and tournament selection strategies. The conclusion shows that through mechanical model, collaborative control and algorithm optimization, the parallel operation of anchor height matching is realized, the tunneling efficiency is improved, the safety of roadway support is guaranteed, and the key technical support for the intelligent development of coal mines is provided.