Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Edge computing task allocation method for real-time online monitoring service of electric power Internet of Things

An edge computing and task allocation technology, applied in computing, computing models, computer-aided design, etc., can solve the problems of easy local convergence and reduce the average service delay

Active Publication Date: 2020-01-21
YUNNAN POWER GRID
View PDF10 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Then, on the basis of the model, aiming at the shortage of particle swarm optimization in solving discrete problems and the problem of easy local convergence, an impr

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Edge computing task allocation method for real-time online monitoring service of electric power Internet of Things
  • Edge computing task allocation method for real-time online monitoring service of electric power Internet of Things
  • Edge computing task allocation method for real-time online monitoring service of electric power Internet of Things

Examples

Experimental program
Comparison scheme
Effect test
No Example Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an edge computing task allocation method for real-time online monitoring service of electric power Internet of Things, and belongs to the technical field of real-time online monitoring of the electric power Internet of Things. The method comprises the following steps: firstly, establishing a real-time online monitoring service task allocation model based on edge calculation; secondly, for an edge node task queuing problem in a particle swarm algorithm, setting a hybrid priority based on an EDF to queue tasks. For the problems that the particle swarm optimization algorithm solves the defects of a discrete problem and is easy to locally converge, a task allocation solving method based on the improved discrete particle swarm optimization algorithm is provided; simulation results show that the algorithm provided by the invention can effectively allocate real-time online monitoring service edge calculation tasks, further reduce service time delay and effectively improve the comprehensive performance of a real-time online monitoring system.

Description

technical field [0001] The invention belongs to the technical field of real-time online monitoring of the Internet of Things, and in particular relates to an edge computing task assignment method for real-time online monitoring services of the Internet of Things. Background technique [0002] With the continuous improvement of the intelligence of substations, there are more and more types of services that need to be connected to substations. Various services have different requirements for communication network quality, access location, and security. The real-time online monitoring system is the security guarantee for the stable operation of the power system. With the development of the smart grid and the Internet of Things, more and more real-time online monitoring devices of electric power are connected to the network, generating a large number of business requests and data, which brings great pressure to the traditional cloud computing architecture. Edge computing is a n...

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
IPC IPC(8): G06F30/25G06N3/00G06N3/12G06Q10/06G06Q50/06G06F113/04
CPCG06N3/006G06N3/126G06Q10/0637G06Q50/06
Inventor 罗海林李朝广孙严智刘宇明崔晨
Owner YUNNAN POWER GRID
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products