师永, 杨涛. 基于图像识别的隧洞排尘控制系统分析[J]. 黄河水利职业技术学院学报, 2023, 35(2): 44-48. DOI: 10.13681/j.cnki.cn41-1282/tv.2023.02.009
    引用本文: 师永, 杨涛. 基于图像识别的隧洞排尘控制系统分析[J]. 黄河水利职业技术学院学报, 2023, 35(2): 44-48. DOI: 10.13681/j.cnki.cn41-1282/tv.2023.02.009
    SHI Yong, YANG Tao. Analysis on Control System of Tunnel Dust-exhausted Based on Image Recognition[J]. Journal of Yellow River Conservancy Technical Institute, 2023, 35(2): 44-48. DOI: 10.13681/j.cnki.cn41-1282/tv.2023.02.009
    Citation: SHI Yong, YANG Tao. Analysis on Control System of Tunnel Dust-exhausted Based on Image Recognition[J]. Journal of Yellow River Conservancy Technical Institute, 2023, 35(2): 44-48. DOI: 10.13681/j.cnki.cn41-1282/tv.2023.02.009

    基于图像识别的隧洞排尘控制系统分析

    Analysis on Control System of Tunnel Dust-exhausted Based on Image Recognition

    • 摘要: 随着信息化、智能化、网络化的发展,计算机图像识别技术已在多数领域得到广泛应用。云南TB 水电站在进行过坝隧洞通风及照明系统升级时,设计了一套基于图像识别的排尘控制系统,分析了系统的组成、网络、集中控制级、现地控制站和图像识别控制,探讨了图像识别的关键技术。

       

      Abstract: With the development of information,intelligence and network,computer image recognition technology has been widely used in most fields.In order to upgrade the ventilation and lighting system of the dam tunnel of TB hydropower station in Yunnan province,a set of dust-exhausted control system is designed based on image recognition.The system composition,network,centralized control,in-place control station and image recognition control are analyzed,and the key technology of image recognition is discussed.

       

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