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Automated Room-Level Localisation Using Building Plan Information
Mathias Thorsager1, Sune Kroeyer1, Adham Taha1
1Department of Electronic Systems, Aalborg University, 9220 Aalborg, Denmark.
Sensors (Basel, Switzerland)
|September 14, 2024
Summary
Automated fingerprinting methods accurately locate wireless sensors in Building Management Systems (BMSs), reducing installation labor. Enhanced localization techniques leverage building plans for improved sensor placement accuracy.
Area of Science:
- Electrical Engineering
- Computer Science
- Building Technology
Background:
- Building Management Systems (BMSs) are increasingly adopting wireless Internet of Things (IoT) sensors and actuators.
- This transition necessitates robust localization methods for accurate sensor-to-Control Unit (CTU) linking.
- Current manual installation processes for BMSs can be labor-intensive and prone to errors.
Purpose of the Study:
- To develop an automated, room-level accurate localization method for wireless BMS sensors.
- To reduce the manual labor required during BMS installation and maintenance.
- To improve the accuracy of sensor localization by leveraging building plan information.
Main Methods:
- An automated fingerprinting-based localization approach was developed.
- The method was extended with two new techniques utilizing building plan data for group sensor localization.
- Performance was evaluated in a simulation environment using Bluetooth-based measurements.
Main Results:
- The proposed automated fingerprinting methods achieved room-level accuracy for sensor localization.
- Leveraging building plans improved localization accuracy compared to the baseline automated method.
- Error rates were as low as 1 in 200 sensors when groups of sensors were localized together.
Conclusions:
- Automated localization significantly reduces manual effort in BMS setup and maintenance.
- Building plan-aware localization enhances the precision of wireless sensor placement.
- These methods offer a scalable and efficient solution for modern wireless BMS deployments.
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