Electric power video image analysis system and method based on cloud edge collaboration

A technology of video image and analysis system, applied in CCTV systems, transmission systems, neural learning methods, etc., can solve problems such as large information flow, uneven task distribution, waste of resources, etc.

Pending Publication Date: 2021-05-14
NARI INFORMATION & COMM TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the wide coverage of the power video image platform and the huge data transmitted by the equipment, only using the cloud platform to analyze and calculate the image and video will easily lead to a large amount of information flow,

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
  • Electric power video image analysis system and method based on cloud edge collaboration
  • Electric power video image analysis system and method based on cloud edge collaboration
  • Electric power video image analysis system and method based on cloud edge collaboration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0039] A power video image analysis system based on cloud-side collaboration of the present invention, the framework is as follows figure 1 As shown, it includes power video image platform, business processing system, artificial intelligence cloud platform (referred to as "cloud platform") and several edge analysis devices, among which:

[0040] Edge analysis equipment is used to collect power video image data in the power production environment, and perform first-level analysis and processing on the power video image data, and upload the collected power video image data and analysis results to the power video image platform;

[0041] The power video image platform is used to upload the collect...

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

The invention discloses an electric power video image analysis system and method based on cloud edge collaboration, and the system comprises an electric power video image platform, a business processing system, an artificial intelligence cloud platform, and a plurality of edge analysis devices, and the edge analysis devices are used for collecting electric power video image data in an electric power production environment, and performing first-layer analysis processing on the electric power video image data, and the electric power video image platform is used for uploading the acquired electric power video image data to the cloud platform and reporting an analysis result to the service processing system; and the artificial intelligence cloud platform is used for carrying out second-layer analysis processing on the video image data. According to an existing cloud end centralized processing mode, computing power distribution is carried out on a cloud end and an edge end by calculating the cloud end analysis capability, the edge end analysis capability, the algorithm complexity and the algorithm calculation amount, and the problems of real-time performance of data processing, unreasonable occupation of analysis resources and the like are effectively solved.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and in particular relates to a power video image analysis system based on cloud-edge collaboration, and also relates to a power video image analysis method based on cloud-edge collaboration. Background technique [0002] With the integration and application of power companies and the Internet, the concept of establishing the power ubiquitous Internet of Things has been proposed. Digital technology, digital economy, and the vitality and competitiveness of power companies have an inseparable relationship. Various large power group companies have established different The cloud platform is used to manage the production process to ensure production safety. For the traditional cloud platform, there are many difficulties in the process of power production management. When the coverage of users is wide enough, problems such as too many access devices, large amount of information, and obvi...

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): H04L29/08G06K9/00G06N3/04G06N3/08G06N20/00H04N7/18
CPCH04L67/025H04L67/12G06N3/08G06N20/00H04N7/18G06V20/40H04L67/1001G06N3/045
Inventor 张智成郝小龙曾真寅贾政彭启伟李国志甄恩浩江浩尹建月王旭涛程战员石天鑫吴强刘少威张铁勋颜廷良
Owner NARI INFORMATION & COMM TECH
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap