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A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2020-11-21 , DOI: 10.1155/2020/8816388
Mengchao Zhang 1 , Manshan Zhou 1 , Hao Shi 1
Affiliation  

Real-time load detection method for belt conveyors based on computer vision is the research topic of this paper. A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus. As the basis for conveyor intelligent speed regulation, two methods from different angles to perceive the load of conveyor belt were proposed, applied, and compared in this paper. Method 1 is based on the area proportion and method 2 is the detection based on laser-based computer vision technology. Laboratory experiments show that both methods can well detect the load on the conveyor belt. Method 2 is more economical and practical under the background of existing technology, also compared to the method 1, which provides a new idea and theoretical basis for the energy-saving control and intelligent development of the conveyor.

中文翻译:

基于计算机视觉的皮带输送机实时负荷感知方法

基于计算机视觉的带式输送机实时负荷检测方法是本文的研究课题。配备有照相机和激光发生器的皮带输送机系统用作测试设备。作为输送机智能调速的基础,提出,应用和比较了两种从不同角度感知输送带负荷的方法。方法1基于面积比例,方法2基于基于激光的计算机视觉技术进行检测。实验室实验表明,两种方法都能很好地检测出传送带上的负载。方法2在现有技术的背景下更加经济实用,与方法1相比,为输送机的节能控制和智能化发展提供了新的思路和理论依据。
更新日期:2020-11-22
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