基于机器视觉的变电站智能巡检系统设计研究
Research on the Design of Intelligent Inspection System for Substation Based on Machine Vision
郭晋超1
作者信息
- 1. 国网江苏省电力有限公司苏州供电分公司,江苏苏州 215000
- 折叠
摘要
随着电力行业的发展,变电站的安全运行对电网的稳定性至关重要.传统的变电站巡检方式存在效率低下、人力成本高等问题.本文针对此问题设计了一种基于机器视觉的变电站智能巡检系统,利用图像处理技术和深度学习算法实现对变电站设备的自动检测和异常识别,从而提高了巡检效率和准确性.
Abstract
With the development of the power industry,the safe operation of substations is crucial to the stability of the power grid.Traditional substation inspection methods suffer from issues such as low efficiency and high labor costs.To address these issues,this article proposes an intelligent inspection system for substations based on machine vision.By utilizing image processing techniques and deep learning algorithms,the system achieves automatic detection and abnormality identification of substation equipment,thereby improving inspection efficiency and accuracy.
关键词
机器视觉/变电站/智能巡检/图像处理/深度学习Key words
machine vision/substation/intelligent inspection/image processing/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据