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A method for intelligent identification of external force damage of transmission line

A technology for power transmission lines and external force destruction, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of doubling workload and affecting accuracy, so as to reduce workload, reduce operating costs, and promote lean management Effect

Inactive Publication Date: 2018-12-18
GUANGDONG POWER GRID CO LTD +1
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AI Technical Summary

Problems solved by technology

The use of unmanned aircraft to inspect the line, although the unmanned aerial vehicle inspection can reduce the field labor intensity of the inspection team, reduce the operation and maintenance costs of the line, especially can effectively find hidden hidden dangers of external damage, but the current patrol personnel The drone image is interpreted manually, and the large amount of image information acquired by the drone also doubles the workload of image interpretation and information extraction. A large amount of redundant data information will also affect the ability of inspectors to interpret and identify hidden dangers of external force damage to transmission lines. Accuracy

Method used

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  • A method for intelligent identification of external force damage of transmission line

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Embodiment 1

[0025] The invention uses artificial intelligence, cloud computing, B / S architecture and other mobile Internet frontier technologies to build a hidden danger library for intelligent identification of external force damage to transmission lines and an intelligent identification and early warning system for hidden dangers that are connected to the cloud.

[0026] Intelligent identification of workflow such as figure 1 As shown, it consists of four steps: building a database of hidden dangers of external force damage to transmission lines, UAV image acquisition, intelligent pattern recognition of hidden danger images, and push of recognition results. The intelligent hidden danger identification library and the hidden danger intelligent identification and early warning system of the end plus cloud are set up on the server side, and the results are sent to the client side by the server side.

[0027] A method for intelligent identification of external force damage to transmission l...

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Abstract

The invention relates to the technical field of detecting hidden dangers of transmission lines, in particular to an intelligent identification method of external force damage of a transmission line, which is composed of four steps of constructing a hidden danger database of external force damage of transmission lines, collecting images of unmanned aerial vehicles, identifying hidden danger imagesin an intelligent pattern, and pushing identification results. The invention adopts artificial intelligence image recognition technology based on computer vision and machine learning technology, builds a hidden danger database of external force damage of transmission lines, develops an intelligent image recognition system of transmission line damage caused by external force, digitizes the image data of UAVs, actively identifies the hidden danger of transmission line damage and automatically sends the warning information to the maintenance personnel. The method can reduce the workload of line patrol personnel at the grass-roots level, improve the work efficiency of operators, greatly reduce the operation cost of power grid, improve the technical level of intelligent management of power grid, and promote the upgrading of lean management of transmission line.

Description

technical field [0001] The invention relates to the technical field of transmission line hidden danger detection, in particular to an intelligent identification method for external force damage to transmission lines. Background technique [0002] At present, the use of drones to inspect transmission lines for external force damage has become a part of the daily inspection of transmission lines. The use of unmanned aircraft to inspect the line, although the unmanned aerial vehicle inspection can reduce the field labor intensity of the inspection team, reduce the operation and maintenance costs of the line, especially can effectively find hidden hidden dangers of external damage, but the current patrol personnel The drone image is interpreted manually, and the large amount of image information acquired by the drone also doubles the workload of image interpretation and information extraction. A large amount of redundant data information will also affect the ability of inspector...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/213G06F18/214
Inventor 陈亮杨喆黄达文郑耀华陈乃丕李智何勇陈志浩胡宇轩张磊
Owner GUANGDONG POWER GRID CO LTD
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