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Data reconciliation of indoor positioning data: Improve position data accuracy in warehouse environment
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
Summary
This study enhances indoor positioning accuracy by using redundant sensor data and data reconciliation to detect and correct measurement errors. This improves real-time location tracking in industrial environments.
Area of Science:
- Robotics and Automation
- Geomatics Engineering
- Industrial Engineering
Background:
- Indoor positioning systems (IPS) are crucial for resource tracking in manufacturing and warehouses.
- Measurement errors from sensor noise degrade IPS performance and real-time data accuracy.
- Redundant measurements from multiple sensors are essential for identifying and mitigating these errors.
Purpose of the Study:
- To improve the accuracy of indoor positioning data through data reconciliation techniques.
- To develop a method for detecting layout-based errors using redundant measurements.
- To enhance real-time position data by incorporating measurement error into the variance-covariance matrix.
Main Methods:
- Utilizing redundant measurements from multiple sensor tags on the same resource.
- Implementing a data reconciliation algorithm to compensate for measurement errors.
- Creating a map-based average measurement error by analyzing data across the physical environment.
- Applying the method to a case study involving forklifts in a warehouse setting.
Main Results:
- Successfully identified layout-based errors by analyzing discrepancies in position data from two sensor tags.
- Demonstrated that data reconciliation significantly improves the accuracy of indoor positioning data.
- The developed algorithm effectively handles multi-sensor challenges in indoor positioning systems.
Conclusions:
- Redundant measurements combined with data reconciliation are effective for improving IPS accuracy.
- The proposed method allows for the detection of layout-based errors within the indoor positioning system.
- This approach offers a robust solution for enhancing real-time position data accuracy in industrial applications.
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