室内定位数据的数据协调:提高仓库环境中的位置数据准确性
András Rácz-Szabó1,2, Tamás Ruppert1,2, János Abonyi1,2
1HUN-REN-PE Complex Systems Monitoring Research Group, University of Pannonia, Egyetem str. 10, POB 158, H-8200 Veszprém, Hungary.
MethodsX
|July 29, 2024
概括
这项研究通过使用冗余传感器数据和数据协调来检测和纠正测量错误来提高室内定位的准确性. 这提高了工业环境中的实时位置跟踪.
科学领域:
- 机器人和自动化 机器人和自动化
- 地理学工程 工程地质学
- 工业工程 工业工程 工业工程
背景情况:
- 室内定位系统 (IPS) 对于制造业和仓库的资源跟踪至关重要.
- 传感器噪声造成的测量错误会降低IPS性能和实时数据准确性.
- 来自多个传感器的冗余测量对于识别和减轻这些错误至关重要.
研究的目的:
- 通过数据协调技术提高室内定位数据的准确性.
- 开发一种使用冗余测量检测基于布局的错误的方法.
- 通过将测量误差纳入方差-共方差矩阵来增强实时位置数据.
主要方法:
- 使用同一资源上的多个传感器标签的冗余测量.
- 实施数据协调算法,以补偿测量错误.
- 通过在物理环境中分析数据,创建基于地图的平均测量误差.
- 将该方法应用于一个涉及仓库环境中的叉车的案例研究.
主要成果:
- 通过分析来自两个传感器标签的位置数据中的差异,成功识别了基于布局的错误.
- 证明数据协调可显著提高室内定位数据的准确性.
- 开发的算法有效地处理室内定位系统中的多传感器挑战.
结论:
- 冗余测量与数据协调相结合,可以有效地提高IPS准确性.
- 拟议的方法允许在室内定位系统中检测基于布局的错误.
- 这种方法提供了一个强大的解决方案,用于提高工业应用中的实时位置数据准确性.
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