摘要:
矿井视频监控智能化技术是实现煤矿可视化远程干预型智能化无人开采的关键技术之一，但煤矿井下开采工作面环境恶劣，使得采集的矿井监视图像具有严重的退化现象，影响了煤矿开采智能化的发展。矿井监视图像的采集过程受液压支架、采煤机、破碎机与带式输送机的振动及矿尘、喷雾等因素的随机影响，无法准确获知图像退化的深度、强度、范围等有用信息。针对上述问题，设计了一种基于L-R算法的矿井监视图像复原装置，该装置主要包含取流模块、配置模块、图像复原模块与转发模块。装置通过取流模块获取摄像头的视频流并解码为图像帧；利用配置模块配置复原模块的参数，采用退化函数模型和基于L-R算法的图像复原模块进行图像复原，并输出复原后的图像；利用转发模块将复原后的图像帧以视频流的形式转发至视频监控端，为操作人员远程操作采煤设备提供清晰的视频信息。实验结果表明，该装置可提升矿井监视图像的质量，复原后的图像清晰、明亮。
Abstract:
The intelligent technology of mine video monitoring is one of the key technologies to realize visual remote intervention intelligent unmanned mining in coal mine.However, due to bad working environment of mining face in underground coal mine, the collected mine monitoring images have serious degradation, which affects development of intelligence of coal mining. The collection process of mine monitoring images is affected by vibration of hydraulic support, shearer, crusher and belt conveyor, as well as random factors such as mineral dust and spray, so the useful information such as depth, strength and range of images degradation cannot be accurately acquired. In view of the above problems, a mine monitoring image restoration device based on L-R algorithm was designed, which includes a stream fetching module, a configuration module, an image restoration module and a forwarding module. Firstly, the device uses stream fetching module to obtain video stream of camera and decodes it into image frames. Then, it uses configuration module to configure parameters of the restoration module, and adopts degradation function model and image restoration module based on L-R algorithm to restore the image and output the restored image. Finally, it uses forwarding module to transmit the restored image frame to video monitoring end in form of video stream, so as to provide clear video information for operators to operate coal mining equipment remotely. The experimental results show that the device can improve quality of mine monitoring images, and the restored images are clear and bright.
百度学术
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