Power distribution network inspection vision system based on bionic vision image processing

In order to improve the effect of power distribution network inspection and reduce the hidden dangers and operating costs of the power distribution network inspection, this paper combines the bionic vision image processing technology to construct an intelligent power distribution network inspection...

Full description

Saved in:
Bibliographic Details
Published in:International journal of system assurance engineering and management 2023-04, Vol.14 (2), p.568-577
Main Authors: Hao, Fangzhou, Ma, Jieran, Luo, Linhuan, Dang, Weijun, Xue, Yiwei
Format: Article
Language:English
Subjects:
Algorithms
Bionics
Electric power distribution
Engineering
Engineering Economics
Image processing
Inspection
Logistics
Marketing
Organization
Original Article
Quality Control
Reliability
Safety and Risk
Systems design
Vision systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to improve the effect of power distribution network inspection and reduce the hidden dangers and operating costs of the power distribution network inspection, this paper combines the bionic vision image processing technology to construct an intelligent power distribution network inspection vision system, and proposes a bionic model based on the principle of biological visual distance that takes the Kinect Depth information value as a parameter. Moreover, this paper uses the model in the vision system to improve its real-time performance. In addition, with the support of intelligent algorithms, this paper constructs the structure model of the power distribution network inspection vision system, and proposes a new type of intelligent inspection system design for power distribution network to achieve a good effect of improving the efficiency of power distribution network inspection and management level in production practice. Finally, this paper combines experiments to prove the reliability of this system.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-021-01268-8