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

Intelligent electric meter operation area grouping method and system based on environment and geographic features

A technology of operating area and geographical characteristics, applied in the field of smart meter operation grouping, can solve the problems of inability to reflect regional climate differences at the prefectural level, insufficient grouping precision, and inability to reflect differences in the impact of energy meter operation

Pending Publication Date: 2021-06-11
MEASUREMENT CENT OF GUANGDONG POWER GRID CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, grouping according to climatic zones or based on a single environmental condition combined with geographic location characteristics, the grouping is not precise enough to reflect the climate differences in prefecture-level regions
And grouping according to a single environmental condition cannot reflect the difference in the impact of comprehensive environmental conditions in different regions on the operation of electric energy meters

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
  • Intelligent electric meter operation area grouping method and system based on environment and geographic features
  • Intelligent electric meter operation area grouping method and system based on environment and geographic features
  • Intelligent electric meter operation area grouping method and system based on environment and geographic features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0040] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0041] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...

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 intelligent electric meter operation area grouping method and system based on environment and geographic features, a terminal and a storage medium. The method comprises the steps of obtaining historical meteorological data of at least one typical position in each prefecture-level administrative region in a to-be-grouped area; obtaining geographic information of each geographic-level administrative region in the to-be-grouped area; combining each geographic-level administrative region and the historical meteorological data and geographic information corresponding to the geographic-level administrative region into a grouping element table, and performing normalization processing on each element; according to the number K of area groups needing to be divided, selecting K prefecture-level administrative areas to serve as initial clustering centers of K area groups, wherein K is a positive integer larger than or equal to 1; and grouping the operation areas of the intelligent electric energy meter according to the grouping element table by adopting a K-means algorithm. According to the method, meteorological data and geographic features related to environmental stress types can be used as elements of region grouping, and target regions are objectively and quickly grouped according to the selected elements.

Description

technical field [0001] The invention relates to the technical field of smart meter operation grouping, in particular to a method, system, terminal and storage medium for grouping smart meter operation areas based on environmental and geographical features. Background technique [0002] Smart energy meters installed and used in different regions may have large differences in failure rate levels due to differences in geographical features and environmental conditions, and the main failure modes and failure mechanisms will also be different. In order to facilitate the operation and management unit of the electric energy meter to identify the impact that the environment and geographical differences in different regions may have on the operational reliability of the electric energy meter, it is necessary to group the operating areas of the smart electric meter. [0003] At present, the existing grouping methods are usually grouped according to climatic zones or according to a sin...

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): G06F16/29G06F16/28G06Q50/06
CPCG06F16/29G06F16/285G06Q50/06Y04S10/50
Inventor 党三磊黄友朋陈亮招景明路韬赵闻
Owner MEASUREMENT CENT OF GUANGDONG 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