Lijiahao Coal Mine, CHN Energy Baotou Energy Co. , Ltd.
Beijing Tianma Intelligent Control Technology Co. , Ltd.

针对井下工作面监控视频的视觉清晰化问题,首先提出一种监控摄像仪防尘自动疏水方法,利用疏水涂层制备摄像仪视窗,有效减少煤尘、水雾等附着,提高监控视频画面的可视化监控效果。针对工作面工况条件下粉尘雾气导致监控视频图像质量下降问题,提出一种监控视频图像实时去雾算法。通过实时去雾处理后监控图像峰值信噪比保持在28.2左右,使得监控图像特征信息很好保持的同时,增强工作面监控视觉效果。在监控视频图像视觉畸变矫正技术研究过程中,提出一种工作面监控视频图像校正方法,充分利用视频图像内部特征信息,无需外部标定实现监控视频图像边缘畸变校正。实验表明,文章提出的工作面监控视频清晰化技术一定程度上能够满足实际生产需求,提升工作面监控视频可视化效果。

Aiming at the problem of visual clarity of monitoring video in underground working face, we proposed a dust-proof automatic drainage method for monitoring camera. The hydrophobic coating was used to prepare the camera window, which can effectively reduce the adhesion of coal dust and water mist, and improve the visual monitoring effect of monitoring video screen. In view of the monitoring video image quality degradation caused by dust fog under working condition of working face, a real-time defogging algorithm for monitoring video image was proposed. After real-time defogging, the peak signal-to-noise ratio of the monitoring image was maintained at about 28. 2, which makes the feature information of the monitoring image well maintained and enhances the visual effect of the working face monitoring. In the research process of visual distortion correction technology of surveillance video image, a correction method of surveillance video image in working face was proposed, which made full use of the internal feature information of video image and realized the edge distortion correction of surveillance video image without external calibration. Experiments show that the proposed technology can meet the actual production needs to a certain extent and improve the visualization effect of working face monitoring video.

天地科技股份有限公司科研项目”煤矿井下视觉终端感知及边缘计算关键技术研究”(2021-TD-MS013)

张杰,郭建军,王永刚,等.工作面监控视频清晰化应用技术研究[J].煤炭工程,2024,56(7):98-104.