| 摘要: |
| 随着数字技术的发展和硬件的进步，数字孪生技术已经应用于各个领域，其中工业制造领域的应用
尤其广泛，由于其高效率、高稳定性、安全性等特性，大大提高了工业机器人工作效率，减少人力物力的成本。
因此，本文通过对电弧增材机器人数字孪生系统构建的需求分析，设计了孪生系统的整体架构，综合应用
Python 语言、MySQL 数据库和三维建模软件 Blender 对电弧增材机器人数字孪生模型进行开发，研究了利用
Blender骨骼和Blender Python API驱动孪生模型映射物理实体实时工作的方法，实现了数字孪生模型远程监控、
实时映射的功能。本研究可为以KUKA KR16作为物理实体的数字孪生模型研究提供研究经验和理论参考，对
工业机器人数字孪生模型构建的研究有一定意义。 |
| 关键词: 数字孪生 工业机器人 Blender Blender Python API 远程监控 |
| 基金项目: |
|
| Virtual Simulation Monitoring of Arc Additive Manufacturing Robot Based on Digital Twin |
|
Pei Shuaiwen Guo Yiming Xiao Mingkun Zhou Yuejun
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School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210000
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| Abstract: |
| With the development of digital technology and hardware, digital twin technology has been applied to
various fields, especially in the industrial manufacturing field, due to its high efficiency, stability, safety, and other
functions, which greatly improves the working efficiency of industrial robots and reduces the cost of labor and
resources. Therefore, this paper analyzes the requirements for constructing a digital twin model of an arc additive robot,
designs the overall architecture of the twin system, and develops the digital twin model of the arc additive robot using
Python language, MySQL database, and 3D modeling software Blender. The paper studies the method of driving the
twin model to map the physical entity in real-time using Blender bones and Blender Python API, and realizes the
functions of remote monitoring and real-time mapping of the digital twin model. This research can provide research
experience and theoretical reference for the study of digital twin models based on KUKA KR16 as a physical entity, and
has certain significance for the study of digital twin model construction of industrial robots |
| Key words: digital twin industrial robot Blender Blender python API remote monitoring |
