Abstract: Scientific scheduling of computation and storage resources can be helpful to analyzing equipment defects quickly during substation UAV inspection.The computation resources and storage resources are required in the process of analyzing UAV inspection images, thus a two-layer edge computing framework model including data analysis servers, UAVs and terminal equipment of the internet of things is built based on the industrial internet of things (IoT). According to the characteristics of substation inspection, a data model of task-oriented and equipment to be inspected is established, the resource state is analyzed, and the control flow of inspection is proposed. By using Stackelberg multilayer game algorithm and computing volume as the pricing basis of resource scheduling, the data resources and computation resources of the terminal of IoT are taken as the constraints for resource allocation. Theoretically, it is proved that the utility function satisfies the convex function condition and the Nash equilibrium point exists. In the simulation analysis, the change of task allocation and the relationship between utility function, revenue function and calculation allocation during iteration are analyzed.The results reveal that the intersection point of optimal price curves of UAV and data analysis server is the Nash equilibrium point of resource scheduling. The practical application results show that the transmission and calculation amount of substation data network are greatly reduced, and the inspection time of the whole station reduces from 15 hours to 12 hours. This method can provide the basis for the efficient and safe operation and maintenance of unmanned substation.