针对传统洞外亮度测试方法存在的耗时长、工作量大等问题,提出一种基于物联网视频流的实时洞外亮度测量方法.该方法通过摄像机采集图像数据,利用4G网络或Wi-Fi实时远程传输,利用程序对图像画面进行灰度化处理得到图像的灰度值,并利用亮度计对摄像机进行光学标定,得出曝光量与灰度值之间的具体函数关系,即亮度回归方程计算得到目标区域的亮度值.并通过摄像机灰度的距离修正,有效降低测量误差,减小了摄像机亮度的距离效应.本文所提出的测量方法适用于大多数山岭公路隧道洞外亮度的测量,具有低成本,安装快捷,便于远程监控,传输稳定,抗干扰能力强的特点.
Aiming at the problems such as time-consuming and heavy workload existing in the traditional outside tunnel brightness testing methods,a real-time outside tunnel brightness testing method based on IoT video streams is proposed.The method collects image data through cameras,using 4G network or WIFI for real-time remote transmission,uses programs to grayscale the image frames to obtain the grayscale values of the images,and uses the luminance meters to optically calibrate the cameras to derive the specific functional relationship between the exposure amount and the grayscale values,i.e.,the luminance regression equation to calculate the luminance value of the target area.And through the distance correction of the camera grayscale,the measurement error is effectively reduced,and the distance effect of the camera brightness is reduced.The measurement method proposed in this paper is applicable to the measurement of the outside tunnel brightness of most mountainous highway tunnels,and has the characteristics of low cost,quick installation,convenient remote monitoring,stable transmission and strong anti-interference ability.
付锐;苏开春;冷希乔;曾弘锐;郭春
西南交通 大学交通隧道工程教育部重点实验室,四川 成都 610031||极端环境岩土和隧道工程智能建养全国重点实验室,四川 成都 610031四川成南高速公路有限责任公司,四川 成都 610052四川省长大公路隧道 (群) 运营安全工程实验室,四川 成都 610095
交通运输
公路隧道;洞外亮度;亮度计;物联网摄像机;视频流
road tunnel;ambient exterior luminance;luminometer;IoT camera;video streaming
《照明工程学报》 2024 (004)
35-42 / 8
四川省社会科学规划项目(SC22B031);四川省交通运输科技项目(2021-ZL-04);成都医学院四川应用心理学研究中心资助项目(CSXL-23327);中国交通教育研究会教育科学研究课题(JT2022YB163,JT2022YB405)
10.3969/j.issn.1004-440X.2024.04.006
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