在使用游戏引擎和机器学习的自动控制系统中模拟和模拟虚拟传感器的方法
João Rosas1,2, Luís Brito Palma1,2, Rui Azevedo Antunes2,3
1NOVA School of Science and Technology, NOVA University Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了一种六步传感器虚拟化方法,用于模拟复杂的工业4.0系统. 该方法简化了视觉传感器的建模,减少了动态监督和控制系统开发中的错误和成本.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 自动化自动化自动化自动化自动化
背景情况:
- 工业4.0和社会4.0在动态监督和控制系统中呈现出越来越多的复杂性.
- 目前的模拟工具为处理视觉传感器提供了有限的功能.
- 使用视觉传感器模拟复杂系统会导致开发错误和更高的成本.
研究的目的:
- 为传感器虚拟化提供一个系统的六步方法.
- 开发一个使用游戏引擎测试方法的模拟平台.
- 通过视觉传感器来减少模拟动态系统的复杂性和精力.
主要方法:
- 开发了一个六步的传感器虚拟化方法.
- 创建了一个利用游戏引擎的模拟平台.
- 将虚拟化方法集成到模拟平台中,以建模视觉传感器.
主要成果:
- 开发的平台可以模拟动态系统,包括带有视觉传感器的工业过程.
- 拟议的虚拟化方法使传感器的系统建模成为可能.
- 通过视觉传感器来模拟系统的复杂性和工作量减少.
结论:
- 六步传感器虚拟化方法有效地解决了模拟视觉传感器在工业4.0.0中的挑战.
- 基于游戏引擎的模拟平台为测试和验证方法提供了一个强大的环境.
- 这项工作有助于更高效,更准确地模拟复杂的动态系统.
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