Faculty of Mechanical Engineering & Automation, 12646Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China.
Research Institute of Zhejiang Sci-Tech University in Longgang, Wenzhou, Zhejiang, China.
Sci Prog. 2022 Jul-Sep;105(3):368504221103766. doi: 10.1177/00368504221103766.
With the change of manufacturing mode and the progress of science and technology, the traditional manufacturing industry has gradually developed to intelligent manufacturing and flexible manufacturing. To achieve factory transformation, Automatic Guided Vehicle (AGV) is indispensable. In this paper, an AGV trackless guidance technology based on global vision is proposed. Firstly, the global vision camera is used to obtain the image of the AGV driving area, and then the obstacle information and position information of the AGV are obtained by image processing technology. Secondly, the A* algorithm is used to intelligently plan the AGV driving path, and the wireless network communication is used to control the AGV driving according to the planned path. Experiments show that the method is feasible and has the advantages of high flexibility, high precision, low cost and strong expansibility, which is of great significance to the realization of intelligent warehouse and unmanned chemical plant.
随着制造模式的变革和科学技术的进步,传统制造业逐渐向智能制造和柔性制造发展。要实现工厂转型,自动导引车(AGV)是不可或缺的。本文提出了一种基于全局视觉的 AGV 无轨制导技术。首先,使用全局视觉摄像机获取 AGV 行驶区域的图像,然后通过图像处理技术获取 AGV 的障碍物信息和位置信息。其次,使用 A*算法智能规划 AGV 行驶路径,并通过无线网络通信根据规划路径控制 AGV 行驶。实验表明,该方法具有较高的灵活性、精度、低成本和较强的可扩展性,对实现智能仓库和无人化工厂具有重要意义。