Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A Communication Task Adaptive Optimal Scheduling Method Supporting Dynamic Flow Control

A technology for communication tasks and optimal scheduling, applied in digital transmission systems, data exchange networks, electrical components, etc., can solve problems such as heavy data acquisition tasks, intensified competition for communication resources, and reduced system operation quality, and achieve adaptive optimization and adjustment. , to avoid the effect of not being able to obtain channels and reducing pressure

Active Publication Date: 2019-10-15
国网山东省电力公司营销服务中心(计量中心) +2
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below.

[0021] A communication task adaptive optimization scheduling method supporting dynamic flow control, comprising the following steps:

[0022] a) Build a communication dispatch center proxy service through the server, which is responsible for receiving all terminal communication task requests;

[0023] b) The agency service of the communication dispatching center divides all terminal communication tasks into high priority and low priority according to the communication requirements formed by the task type and task content and the current channel resource supply situation; specifically:

[0024] b-1) Negative control instruction tasks are classified as high priority tasks, and electric energy indication tasks are classified as low priority tasks;

[0025] b-2) Non-power indication tasks are classified as low priority tasks;

[0026] c) If it is determined to be a high priority task, go to step h), if it is determi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/851H04L29/08
CPCH04L47/2433H04L67/56H04L67/61
Inventor 张志郭亮徐新光代燕杰李琮琮杜艳王平欣董贤光赵晓燕
Owner 国网山东省电力公司营销服务中心(计量中心)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products