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

Energy internet data processing method based on cloud collaborative hierarchical autonomy

A technology of energy internet and data processing, applied in data exchange network, neural learning method, digital transmission system, etc.

Active Publication Date: 2021-05-18
GUIZHOU POWER GRID CO LTD
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is latency and network bandwidth dependent and has certain limitations

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
  • Energy internet data processing method based on cloud collaborative hierarchical autonomy
  • Energy internet data processing method based on cloud collaborative hierarchical autonomy
  • Energy internet data processing method based on cloud collaborative hierarchical autonomy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] refer to Figure 1~6 Energy Internet data processing methods, including:

[0060] S1: Collect terminal load data information and perform preprocessing. What needs to be explained is that the original data of the primary system and the secondary system are collected; the boundary samples are established by using the correlation clustering algorithm to provide comparative analysis support for data analysis, the data rules are analyzed and the data association rules are constructed in combination with the existing prior knowledge to form data samples , to achieve data preprocessing; quickly form general and professional data cleaning rules with the help of technicians’ auxiliary marks, and realize data cleaning constraints; according to the specified data cleaning rules, data defects (such as incompleteness, inconsistency, repetition, etc.) carry out corresponding processing;

[0061] Among them, the data cleaning rules include denoising the data, estimating missing valu...

Embodiment 2

[0100] refer to Figure 7 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that this embodiment uses Kettle to integrate structured equipment ledger data, and uses Kafka tools to integrate structured real-time monitoring data , use the Flume tool to integrate unstructured text data, and then realize all types of data integration; refer to Figure 7 For the distributed file storage scheme of this embodiment, in order to improve the system data throughput, speed up the system processing speed and ensure a good and effective data fault tolerance mechanism, it is planned to realize that the system is reasonably stored on the data nodes according to the same rules, so as to obtain almost linear The scalability of the system and the load balancing of the system are realized through the distribution mechanism such as Hash to ensure the consistency of the data.

[0101] In this embodiment, data caching is further opt...

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 energy internet data processing method based on cloud collaborative hierarchical autonomy. The method comprises the following steps: acquiring and preprocessing terminal load data information; performing edge processing on the original data by using a small sample machine learning training model; establishing a high-efficiency transmission network of data through a layered distributed network architecture of an SDN, and performing high-efficiency transmission on the data after the edge processing; and carrying out comprehensive processing on the transmission data. According to the invention, through end cloud cooperative processing at a power distribution and utilization data , network data processing delay can be effectively reduced, and a bandwidth required between the original data and a data center can be reduced; and after power distribution and utilization data processing and a processed model are subjected to end-cloud cooperative processing, data processing efficiency is greatly improved, and the implementation of data analysis, processing and response is ensured.

Description

technical field [0001] The present invention relates to the technical field of energy internet data processing, in particular to an energy internet data processing method based on cloud collaborative layered autonomy. Background technique [0002] In recent years, the Energy Internet is based on the power system as the core and link, and based on "smart grid + UHV grid + clean energy" to achieve a new energy system with a high degree of integration of energy and information. Informatization and intelligent construction of the six links of transmission, transformation, distribution, utilization and dispatching. However, compared with the other five links, due to the constraints of communication technology, investment and management system, the construction of distribution automation is obviously lagging behind, and it can no longer fully meet the development needs of smart grid and energy Internet. Renewable energy power generation greatly reduces carbon emissions and improv...

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 Applications(China)
IPC IPC(8): H04L12/24G06K9/62G06N3/02G06N3/08
CPCH04L41/044H04L41/042G06N3/08G06N3/02H04L2012/568G06F18/2135Y02D10/00
Inventor 宋尧杨爱冰廖清阳何先奎王军廖畅袁龙饶贇黄传炳车宏波
Owner GUIZHOU POWER GRID CO LTD
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