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Method for Determining the Number of Visible Warning Areas for 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: 2020-04-28
SHANDONG ZHIYANG ELECTRIC
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  • 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

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  • Method for Determining the Number of Visible Warning Areas for Transmission Line Channels

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] The present invention will be further described below in conjunction with embodiment.

[0027] Such as figure 1 As shown, the method for determining the number of divisions of transmission line channel visualization warning areas in the present invention includes the following steps:

[0028] a. Based on the visual alarm data of the transmission line channel, the model is trained offline to obtain suggested values;

[0029] Step a includes the following steps:

[0030] a1: The number of statistical alarm data n, the recommended initial value is set to n / 2;

[0031] a2: Use the initial value n / 2 mentioned in a1 to identify the high-alarming area, and determine the radius of the high-alarming area;

[0032] a3: Introduce a confidence interval, and compare the ratio of the radius of the high-incidence alarm area mentioned in a2 to the inspection radius of the maintenance personnel. If the comparison value is within the confidence interval, it is considered reliable. If ...

Embodiment 2

[0039] 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].

[0040] 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 3

[0053] 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].

[0054] This example already has suggested values, and there is no need to perform offline training again. The specific steps are as follows:

[0055] a. Based on the suggested value of 1118 to identify the high-alarm ar...

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Abstract

The invention belongs to the field of transmission line maintenance, and in particular relates to a method for determining the number of transmission line channel visualization alarm areas, including the following steps: a. Offline training of the model based on transmission line channel visualization alarm data to obtain suggested values; b. Online decision-making Determine the definite value of the number of divisions of the transmission line channel visualization alarm area; the present invention can automatically determine the division number of the transmission line channel visualization alarm area, based on the determined value, identify the transmission line channel visualization alarm high-incidence area, and find out the alarm high-incidence area The coverage radius conforms to the inspection radius of transmission line maintenance personnel, which brings convenience to transmission line maintenance personnel.

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

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Application Information

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Patent Type & Authority Patents(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
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