基于图像识别技术的电力系统运维优化技术研究
Research on Optimization Technology of Power System Operation and Maintenance Based on Image Recognition Technology
张卫1
作者信息
- 1. 国电南瑞南京控制系统有限公司,江苏 南京 210000
- 折叠
摘要
随着现代电力系统规模的日益扩大,且复杂性不断增加,电力系统的运行维护变得越加重要,同时充满挑战性.传统的运维方法往往依赖于人工巡检及人工经验判断,存在效率低、成本高、误差大等问题.近年来,图像识别技术的快速发展为电力系统运维优化提供了新的解决方案.通过将图像识别技术应用于电力系统的运维,可以自动监测和故障诊断设备状态,提升运维工作的智能化水平、精准度.基于此,将探讨基于图像识别技术的电力系统运维优化方法.
Abstract
With the increasing scale and complexity of modern power systems,the operation and maintenance of power systems have become increasingly important and challenging.Traditional operation and maintenance methods often rely on manual inspections and judgments based on human experience,resulting in low efficiency,high costs,and large errors.In recent years,the rapid development of image recognition technology has provided new solutions for optimizing the operation and maintenance of power systems.By applying image recognition technology to the operation and maintenance of power systems,it is possible to automatically monitor and diagnose the status of equipment,improving the intelligence and accuracy of operation and maintenance work.Based on this,we will explore optimization methods for power system operation and maintenance based on image recognition technology.
关键词
图像识别技术/电力系统/运维优化/技术研究Key words
image recognition technology/power system/operation and maintenance optimization/technical research引用本文复制引用
出版年
2024
NETL
NSTL
万方数据