Communication task adaptive optimal scheduling method supporting dynamic flow control

Abstract

The invention relates to a communication task adaptive optimal scheduling method supporting dynamic flow control, which is characterized by comprising the following steps: (a) communication schedulingcenter proxy service is constructed; (b)a task is judged as a high priority task or a low priority task; (c) if the task is determined to be a high priority task, step h is executed, and if the taskis determined to be a low priority task, step d is executed; (d) the running state of the priority adjustable queue is monitored periodically in real time; (e) the execution control intensity of the low priority task <ACT>Y is calculated; (f)the execution priority of the task <DP>Y is dynamically evaluated according to the calculation of the initial priority of the task and the arrival time of theservice request; (g) when <DP>Y is greater than or equal to the high priority execution threshold Lambda, a long-awaited low priority task is upgraded to a high priority task; (h) tasks are performedusing a high priority queue. On the premise of not affecting the normal operation of the terminal, the adaptive optimization and adjustment of the task of terminal parameter synchronization are supported, and the process of terminal parameter synchronization is recorded and managed. Thus the reliability of terminal operation is improved.

Description

technical field [0001] The invention relates to the technical field of electricity consumption information collection, in particular to a communication task adaptive optimization scheduling method supporting dynamic flow control. Background technique [0002] With the advancement of the State Grid Corporation's electricity consumption information collection system full collection construction goal, the number of collection terminals installed on site has gradually increased. Up to now, the total number of terminals connected by a single provincial power company is close to 3 million. The terminal is responsible for collecting information from the smart energy meter and uploading the information to the master station, which plays a very important role in the electricity consumption information collection system. [0003] However, due to reasons such as high frequency of upgrades, lack of equipment quality or management, there may be differences between the parameter configur...

AI Technical Summary

Problems solved by technology

However, considering that most of the smart energy meters connected to various provincial companies have exceeded 10 million, the task of data collection is very heavy, and the synchronization of terminal parameters will inevitably lead to further intensified competition for communication resources. If it is not controlled and guided, it is also possible Affect the normal order of data collection and reduce the quality of system operation