Abstract:The power grid companies have a multitude of terminal devices,variable business processes,and high demands for the timeliness of data processing, To enhance the efficiency of terminal business process management, this paper proposes a method for constructing and analyzing complex terminal business behavior chains based on global and local perspectives, aiming to deeply understand the behavioral norms and performances of terminal business processes, and put forward corresponding adjustment and optimization schemes. Firstly, the system builds a URL collector based on the B/S architecture to capture the business behavior records of terminal devices in a certain power grid area, and constructs the temporal sequence chain of each terminal business behavior through UR segmentation and access timestamp mining. Secondly, a global and local business frequency analysis method is used to mine the situational awareness model of key business links and potential business bottlenecks, and corresponding adjustment and optimization plans are proposed for potential business bottleneck situations. Finally, tby collecting real data over a long period, the method is verified to be feasible and effective. It can not only effectively reduce the operating cost of the grid, improve the efficiency of resource utilization, but also enhance the user experience, ensure the safe and stable operation of the power grid, and provide effective business management tool and decision support for power grid enterprises..