A Communication Task Adaptive Optimal Scheduling Method Supporting Dynamic Flow Control

Abstract

A communication task adaptive optimization scheduling method supporting dynamic flow control, characterized in that it includes the following steps: a) constructing a communication dispatch center proxy service; b) dividing it into high priority and low priority; c) if it is determined to be high Priority task, go to execution step h), if it is determined as a low priority task, go to execution step d); d) periodically monitor the running status of the adjustable priority queue; e) calculate the low priority Task Execution Control Strength Y ACT ; f) Calculate and dynamically evaluate task execution priority based on task initial priority and service request arrival time Y DP ; g) When it is greater than or equal to the high-priority execution threshold, the low-priority task that has been waiting for a long time is upgraded to high-priority; h) Use the high-priority queue to execute the task. Under the premise of not affecting the normal operation of the terminal, it supports the adaptive optimization and adjustment of the terminal parameter synchronization task, and records and manages the process of terminal parameter synchronization, thereby improving the reliability of terminal operation.

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