摘 要
随着智能电网的快速发展，电力设备的巡检工作变得日益重要且复杂。传统的人工巡检方式不仅效率低下，且难以保证巡检的全面性和准确性，尤其在复杂环境和恶劣天气条件下更是面临诸多挑战。基于机器视觉的电力设备巡检系统应运而生，为电力行业的运维管理带来了革命性的变革。本文深入探讨了基于机器视觉的电力设备巡检系统的设计与实现。该系统通过集成高清摄像头、图像传感器、智能图像处理算法及大数据分析技术，实现了对电力设备的自动化、智能化巡检。系统首先通过摄像头捕捉设备图像，随后利用机器视觉算法对图像进行预处理、特征提取和识别分析，从而实现对设备状态、缺陷及潜在风险的精准判断。在系统实现过程中，本文重点介绍了机器视觉算法的选择与优化。针对电力设备巡检的特殊需求，系统采用了先进的图像识别、目标检测与跟踪算法，能够准确识别设备上的各种标识、指示灯状态及异常现象。同时，通过引入深度学习技术，系统能够不断学习和优化，提高识别精度和泛化能力。本文还分析了基于机器视觉的电力设备巡检系统在实际应用中的优势。相比传统巡检方式，该系统具有巡检效率高、准确性高、受环境影响小等优点。
关键词：机器视觉 电力设备 巡检系统
Abstract
With the rapid development of smart grid, the inspection of power equipment becomes more and more important and complicated. Traditional manual inspection is not only inefficient, but also difficult to ensure the comprehensiveness and accuracy of inspection, especially in complex environments and bad weather conditions are facing many challenges. The power equipment inspection system based on machine vision came into being, bringing revolutionary changes to the operation and maintenance management of the power industry. In this paper, the design and implementation of power equipment inspection system based on machine vision are discussed. By integrating HD camera, image sensor, intelligent image processing algorithm and big data analysis technology, the system realizes automatic and intelligent inspection of power equipment. The system first captures the image of the device through the camera, and then uses the machine vision algorithm to preprocess, extract features and identify and analyze the image, so as to achieve the accurate judgment of the equipment status, defects and potential risks. In the process of system implementation, this paper focuses on the selection and optimization of machine vision algorithm. According to the special requirements of power equipment inspection, the system adopts advanced image recognition, target detection and tracking algorithms, which can accurately identify various signs, indicator states and abnormal phenomena on the equipment. At the same time, by introducing deep learning technology, the system can continuously learn and optimize, improve the recognition accuracy and generalization ability. This paper also analyzes the advantages of power equipment inspection system based on machine vision in practical application. Compared with the traditional inspection method, the system has the advantages of high inspection efficiency, high accuracy and less environmental impact.
Keyword:Machine vision Electric power equipment Inspection system
目 录
1引言 1
2机器视觉技术详解 1
2.1视觉传感器与数据采集 1
2.2图像处理与特征提取 1
2.3深度学习与智能识别 2
3系统总体设计 2
3.1系统需求分析 2
3.2系统架构设计 3
3.3系统工作原理 4
4图像采集与处理 4
4.1图像采集模块设计 4
4.2图像预处理方法 5
4.3特征提取与选择 6
5案例分析 6
5.1实际应用案例介绍 6
5.2效果评估与反馈 7
5.3系统升级与迭代 7
6结论 7
参考文献 9
致谢 10
