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

Refinement prediction method and system for transmission line rainstorm disaster based on inversion algorithm

A technology of transmission line and inversion algorithm, applied in the direction of calculation, structured data retrieval, data processing application, etc., can solve the problems of low precision, untimely rainstorm warning time, not mentioned, etc., and achieves strong operability. , to achieve the effect of rainstorm disaster risk prediction

Active Publication Date: 2020-04-07
STATE GRID HUNAN ELECTRIC POWER +2
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of the above-mentioned methods mentioned the calculation method of the transmission line rainstorm disaster risk impact line and the prediction method of the refinement level to the specific line, which will lead to the rainstorm early warning time is not timely, the accuracy is not high, and the effect is not good. ideal

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
  • Refinement prediction method and system for transmission line rainstorm disaster based on inversion algorithm
  • Refinement prediction method and system for transmission line rainstorm disaster based on inversion algorithm
  • Refinement prediction method and system for transmission line rainstorm disaster based on inversion algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] This embodiment discloses a refined prediction method for heavy rain disasters of transmission lines based on an inversion algorithm, which includes the following steps:

[0031] Step S1, determine the rainstorm disaster prediction calculation model, and generate the rainfall grid point forecast file through the rainstorm disaster prediction calculation model, and the rainfall amount grid point forecast file includes the predicted value of the rainstorm disaster index of each grid point.

[0032] In the above steps, optionally, the rainstorm disaster risk prediction model can adopt the rainstorm disaster risk prediction method described in patent CN102930348A or CN104952212A; the corresponding input of this model can be: according to the meteorological characteristic element data under the selected date, Topographic and geomorphic data, basic characteristics of transmission line towers at all levels, soil density, stratum lithology, gravel content in soil, slope characte...

Embodiment 2

[0051] Corresponding to the above method, this embodiment discloses a refined prediction system for rainstorm disasters of transmission lines based on an inversion algorithm, including:

[0052] The data receiving module is used to access meteorological characteristic element data, topographic and geomorphic data, basic characteristics of foundation towers of transmission lines, soil compactness, stratum lithology, gravel content in soil, slope characteristics, and debris flow disasters Factor data, historical rainstorm disaster data to the power grid GIS rainstorm disaster system database;

[0053] The rainstorm disaster affected area prediction calculation module is used to generate the rainfall grid point forecast file using the rainstorm disaster forecast calculation model, and the rainfall grid point forecast file includes the predicted value of the rainstorm disaster index of each grid point; read the rainfall grid point forecast file to obtain all rainfall-related grid ...

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 present invention relates to the field of meteorological disaster early warning of an electrical power system, and discloses an electric transmission line rainstorm disaster fine prediction methodand system based on an inverse algorithm which are used to refine a rainstorm disaster prediction result to a concrete electric transmission line. The method comprises the steps of: generating a rainfall lattice point prediction file comprising rainstorm disaster index prediction value of each lattice point through a rainstorm disaster prediction and calculation model, and employing the space search of a power grid GIS to perform space intersection for the electric transmission line tower coordinate information and obtain the electric transmission line tower information of a rainstorm area; employing a power grid GIS space line to form electric transmission line space information of a rainstorm disaster; and employing a meteorological factor space interpolation method and combining the electric transmission line of the rainstorm disaster influence to generate an electric power line rainstorm disaster prediction and early warning distribution map through the rainstorm disaster prediction lattice point file, employing the same color to describe the electric transmission lines in the same rainstorm disaster index, and employing other colors to distinguish the electric transmission lines in different rainfall indexes.

Description

technical field [0001] The invention relates to the field of early warning of meteorological disasters in electric power systems, in particular to a refined prediction method and system for rainstorm disasters of transmission lines based on an inversion algorithm. Background technique [0002] In recent years, with the frequent occurrence of heavy rainfall in summer, it is easy to cause geological disasters such as collapses, landslides, mudslides, ground fissures, and soil erosion around the transmission lines, which will cause great harm to the safe operation of the power grid and cause major economic losses and social losses. influences. Considering that the power industry is an industry with high meteorological sensitivity and high demand, once the meteorological elements (including temperature, humidity, wind speed and direction, precipitation, etc.) change, it may cause meteorological disasters such as heavy rain and strong wind, as well as secondary disasters and thre...

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): G06Q10/06G06F16/29G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 陆佳政叶钰郭俊李波方针徐勋建杨莉李丽
Owner STATE GRID HUNAN ELECTRIC POWER
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com