篇名 |
Development and System Design of Intelligent Training Platform for Universities Based on Internet of Things Technology
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並列篇名 | Development and System Design of Intelligent Training Platform for Universities Based on Internet of Things Technology |
作者 | Xin-Hong Hu、Shao-Ting Liu、Jun-Xia Zhang、Meng-Ying Yang |
英文摘要 | Starting from the requirements of the practical training process, this article uses the existing training platform as the hardware equipment foundation to complete the overall design of the training platform. The existing training equipment has been extensively researched and analyzed using hardware modules provided by Huibo Robot Integration Co., Ltd. Based on specific production functions, the combination installation of equipment can be achieved. This article selects the console module, tool library module, execution unit module, polishing module, trajectory drawing module, and sorting module to form the hardware equipment. With the core technology of flexible manufacturing system as the support, a complete flexible manufacturing training system that simulates the production line process is built. The article will design the lower computer software and configure three main tasks to control multiple motors. Then, the upper computer software will be designed to complete human-computer interaction, task editing, and communication functions. Finally, the control software for the robotic arm will be developed, and the main function task action function framework will be designed to achieve module reorganization of the robotic arm software. Finally, the design of the training system will integrate virtual reality and digital twin technology to achieve remote control of the equipment, remote acquisition of experimental data, and remote viewing of the actual equipment operation status. In the remote video viewing function, visual automatic tracking technology is integrated to ensure that the main functional modules are visually captured and displayed during the digital twin debugging process. The feasibility of the method proposed in this paper has been verified through experiments.
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起訖頁 | 153-167 |
關鍵詞 | Internet of Things、remote debugging、intelligent debugging |
刊名 | 電腦學刊 |
期數 | 202412 (35:6期) |
DOI |
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| AGV Path Planning Method and Intelligent Obstacle Avoidance Strategy for Intelligent Manufacturing Workshops |
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| Resource Scheduling Strategy and Process Optimization Method for Additive Manufacturing Enterprises Based on Cloud Computing |