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DOI: 10.14569/IJACSA.2025.0160678
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Design and Implementation of an Intelligent Laboratory Management System Based on UWB Technology

Author 1: Heng Sun
Author 2: Qiang Gao

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 6, 2025.

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Abstract: In recent years, the rapid development of educational informatization and the widespread adoption of Internet of Things (IoT) technologies have accelerated the transformation of university laboratories toward intelligent management. However, traditional laboratory management systems still suffer from limited automation, insufficient safety mechanisms, and poor real-time responsiveness. To address these issues, this study proposes an intelligent laboratory management system based on Ultra-Wideband (UWB) technology, which offers high-precision positioning and low-latency communication. The proposed system integrates IoT-based functionalities across six core modules, including access control, asset management, environmental monitoring, and user management. By deploying UWB tags and sensors throughout the laboratory environment, the system enables real-time tracking of personnel and equipment, automatic activation of laboratory devices, and intelligent safety alerts. A pilot deployment in three university laboratories demonstrated improvements in access efficiency, energy conservation, equipment security, and user satisfaction. The results validate the system’s effectiveness in enhancing intelligent laboratory management and provide a scalable model for future smart educational infrastructure.

Keywords: UWB; intelligent management; laboratory management system; IoT

Heng Sun and Qiang Gao, “Design and Implementation of an Intelligent Laboratory Management System Based on UWB Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 16(6), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160678

@article{Sun2025,
title = {Design and Implementation of an Intelligent Laboratory Management System Based on UWB Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160678},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160678},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {6},
author = {Heng Sun and Qiang Gao}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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