Belt conveyor is an important equipment for coal transportation in mines. With the growing distance and increasing power of belt conveyor, the research on energy saving of belt conveyor is getting more and more attention. In this paper, the belt conveyor speed regulation is studied by using image processing technology. First, a single frame image from the belt conveyor monitoring video is obtained and image pre-processing is performed. The image pre-processing, enhances the features in the image that are beneficial to the study and greatly reduces the difficulty of further processing of the image. Then the coal aspect ratio of the belt conveyor is calculated based on the inverse perspective image. Finally, the belt speed level is divided and matched with the corresponding coal aspect ratio interval, and the speed regulation value can be obtained according to the calculated coal aspect ratio, and the belt conveyor speed regulation based on image processing is completed by combining with the developed speed regulation rules. This paper is applied to the speed regulation of the main lane transportation system in C coal mine. Comparing the energy consumption of the main lane transportation system before and after speed regulation, the results show that: after speed regulation, the energy saving efficiency of the main lane transportation system is 6.4%, which can save the coal mine about 409,000 RMB per year. It also reduces the mechanical wear and tear of the belt conveyor and extends the replacement cycle of parts.
 

belt conveyor; image processing; belt speed adjustment; efficiency improvement