The invention discloses an industrial field big data task coordination degree method based on edge calculation. The method comprises the steps: S1, enabling a scheduler to obtain a task amount Ni and a time delay Ti; S2, evaluating the priority of each task; S3, obtaining the network residual bandwidth R and the uploading rate Li of the tasks, wherein Li represents the uploading rate of the ith task, task queuing waiting is carried out according to the priority, and delay Wi is recorded; S4, obtaining a task scheduling threshold alpha of the scheduler, calculation information of each edge server, the number l of task queuing processing and queuing waiting delay; and S5, carrying out cooperative scheduling on the tasks according to a system resource state, a current business task amount and a delay requirement. According to the invention, resource scheduling of the task between the terminal and the edge server is realized through edge computing, reasonable scheduling of the industrial field task between the terminal equipment and the edge server is achieved, computing resources of the system are fully considered, the task processing capability of the system is improved, the resource consumption of the system can be minimized, and the real-time performance of task scheduling is improved.