基于CoppeliaSim的智能目视煤矸石分选系统的构建

Zhiyuan Sun, Dongjun Li, Linlin Huang, Biao Liu, Ruiqing Jia
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引用次数: 6

摘要

由于中国的能源构成是富煤、贫油、低气,在相当长的一段时间内,煤炭仍将是中国的主要能源。为了提高煤矿的智能化水平,实现高效清洁利用,煤矸石分选是众多专家学者的研究重点。目前,智能可视化煤矸石分选平台建设复杂,算法效果难以验证,研发成本高,不利于技术进步。本文基于机器人模拟器CoppeliaSim,将机器人虚拟仿真技术与智能煤矸石分选系统相结合,构建了智能视觉煤矸石分选系统。整个系统的建模高度接近真实场景,并与软件程序相协调,为智能煤矸石分选奠定了良好的基础,为解决系统建设问题提供了新的途径,虚实结合的方法提高了系统的智能化水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of intelligent visual coal and gangue separation system based on CoppeliaSim
Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time. In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars. At present, the construction of the intelligent visual coal and gangue separation platform is complex, the algorithm effect is difficult to verify, and the research and development cost is high, which is not conducive to the progress of technology. In this paper, the intelligent visual gangue sorting system is built based on the robot simulator CoppeliaSim, combining the robot virtual simulation technology with intelligent coal gangue separation system. The modeling of the whole system is highly close to the real scene, and is coordinated with the software program, which lays a good foundation for the intelligent coal and gangue separation, provides a new way to solve the problem of system construction, and improves the level of intelligence by using virtual and real methods.
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