To address the problems of complex task structure, diverse resource types, and multi-dimensional task-resource matching relationships in the remanufacturing process of coal mining equipment, existing methods struggle to uniformly describe the task relationship structure, resource correlation characteristics, and cross-layer mapping relationships. To this end, a dynamic supernetwork modeling method for remanufacturing tasks and resources of coal mining equipment is proposed. First, the task characteristics and resource attributes in the remanufacturing process are analyzed, and a task relationship subnetwork (including serial, parallel, coupled, and branch relationships) and a resource relationship subnetwork (including similarity, coverage, and association relationships) are constructed. Second, a multi-dimensional mapping degree calculation model is established by integrating semantic, numerical, interval, set, and fuzzy attributes, and the weights are determined using the analytic hierarchy process (AHP), realizing the quantitative expression of task-resource mapping relationships. Finally, a task-resource supernetwork mapping model is constructed on this basis, and its validity is verified using a ZY10000/22/45D hydraulic support remanufacturing project at a coal mine as an example. The results show that the proposed method can accurately reflect the matching relationship between tasks and resources, and provide support for the optimal allocation and decision-making of remanufacturing resources.