针对移动平台的不同工业实时室内定位系统之间的性能比较
Paulo M Rebelo1,2, José Lima1,3, Salviano Pinto Soares2,4,5
1Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
准确的室内定位对于自主移动机器人 (AMR) 来说至关重要,以优化工厂地板运营. Marvelmind超声波系统在AMR和其他工业车辆的实时轨迹管理方面表现出卓越的性能.
科学领域:
- 工业机器人和自动化工业机器人和自动化
- 定位和导航系统 定位和导航系统
- 制造过程优化 制造过程优化
背景情况:
- 自主移动机器人 (AMR) 提供灵活性,但需要精确的定位,以实现高效的工厂工地集成.
- 优化流程和最小化时间需要实时轨迹管理,以避免运动冲突.
- 拥堵和环境因素显著影响AMR性能和安全.
研究的目的:
- 展示和比较常见的室内定位技术 (飞行时间,到达角度,到达时间差).
- 评估和比较行业标准的室内定位方法 (超宽带,超声波).
- 在移动平台上识别和比较三个工业室内本地化解决方案 (Qorvo,Eliko Kio,Marvelmind).
主要方法:
- 对飞行时间,到达角度和到达时间差异的比较分析.
- 在工业环境中评估超宽带和超声波定位方法.
- 在工业移动平台上实施和测试 Qorvo,Eliko Kio 和 Marvelmind 系统的性能.
主要成果:
- 使用超声波技术的Marvelmind系统在经过测试的工业本地化系统中成为最有效的解决方案.
- 对比突出了不同的本地化技术和工业应用的方法的优缺点.
- 该研究为AMR,叉车和物流列车选择适当的本地化解决方案提供了实用的见解.
结论:
- 漫威思维超声系统为工业环境中的实时定位提供了卓越的性能.
- 精确的本地化对于优化AMR轨迹和防止运营机至关重要.
- 这些发现支持集成先进的本地化解决方案,以提高工业自动化效率和安全性.
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