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

Method for determining division number of visual alarm regions of power transmission line channels

A technology for power transmission lines and alarm areas, which is applied in other database browsing/visualization, circuit devices, AC network circuits, etc., can solve problems such as large differences in inspection radius, achieve the effect of reducing real-time calculation amount and improving calculation speed

Active Publication Date: 2019-11-05
SHANDONG ZHIYANG ELECTRIC
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Identifying the high-incidence areas of the above alarms is helpful to improve the work efficiency of transmission line maintenance personnel. However, by manually setting the number of divided areas, the radius of the identified high-incidence areas is often quite different from the actual inspection radius of the inspection, which needs to be repeated. Adjustment

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
  • Method for determining division number of visual alarm regions of power transmission line channels

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0038] The visual image alarm data of a power transmission line in a certain place has been pre-processed to obtain 3,265 weighted alarm data of cranes, of which 2,786 data in the last three months need to be identified for areas with high alarm occurrence, and transmission line maintenance personnel require high alarm occurrence The radius of area identification is 5000m, and the upper and lower errors are 5%. In this embodiment, based on the above data, the number of alarm area divisions will be automatically determined. The conditions can be sorted out, 1) the number of data that can be used as offline is 3265; 2) the data that can be used online is 2786; 3) the inspection radius R = 5000m; 4) the confidence interval is [0.95, 1.05].

[0039] For the number of alarm data, it is particularly pointed out that the alarm data is processed by weight, that is, the coordinate data of the same latitude and longitude are combined into one, and the weight value is used to represent t...

Embodiment 1

[0050] In Embodiment 1, the number of divisions of alarm areas is automatically determined, so that the identified high-incidence alarm areas conform to the inspection radius of transmission line maintenance personnel.

Embodiment 3

[0052] The visual image alarm of a transmission line in a certain place has been learned through offline training that the recommended value of the number of area divisions is 1118, and there are 3152 pieces of data in the past 6 months that need to be identified for high-alarm areas. Transmission line maintenance personnel require the identification of high-alarm areas The radius is 5000m, and the upper and lower errors are within 5%. In this embodiment, the number of warning areas will be automatically determined based on the suggested value and the above data, and the conditions can be sorted out. 1) The suggested value of area division is 1118; 2) The data used online is 3152; 3) The maintenance radius R= 5000m; 4) The confidence interval is [0.95,1.05].

[0053] This example already has suggested values, and there is no need to perform offline training again. The specific steps are as follows:

[0054] a. Based on the suggested value of 1118 to identify the high-alarm ar...

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 belongs to the field of power transmission line maintenance, and particularly relates to a method for determining the division number of visual alarm regions of a power transmission linechannel, which comprises the following steps of: a, performing offline training on a model based on visual alarm data of the power transmission line channel to obtain a suggested value; b, determining a determination value of the power transmission line channel visual alarm area division number through online decision. According to the method, the division number of the visual alarm regions of the power transmission line channel can be automatically determined, the visual alarm high-incidence regions of the power transmission line channel are identified based on the determined value, the coverage radius of the found visual alarm high-incidence regions conforms to the inspection radius of power transmission line maintainers, and convenience is brought to the power transmission line maintainers.

Description

technical field [0001] The invention belongs to the field of power transmission line maintenance, and in particular relates to a method for determining the number of divisions of visual alarm areas for transmission line channels. Background technique [0002] With the upgrading of transmission line maintenance technology, visual remote inspection of transmission line channels has been widely used. At present, it has realized the automatic identification of visual information and marked the warning objects appearing in the image, such as tower cranes, wildfires, excavators, etc. Identifying the high-incidence areas of the above alarms is helpful to improve the work efficiency of transmission line maintenance personnel. However, by manually setting the number of divided areas, the radius of the identified high-incidence areas is often quite different from the actual inspection radius of the inspection, which needs to be repeated. Adjustment. [0003] To sum up, how to provide...

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): G06K9/62G06F16/904H02J3/00H02J13/00
CPCG06F16/904H02J13/00H02J3/00G06F18/214
Inventor 张万征王飞战新刚牛海旭李涛李小龙徐学来
Owner SHANDONG ZHIYANG ELECTRIC
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