Scalable, Flexible, and Affordable Hybrid IoT-Based Ambient Monitoring Sensor Node with UWB-Based Localization

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 13; p. 4061
• Main Authors: Al-Okby, Mohammed Faeik Ruzaij, Roddelkopf, Thomas, Huang, Jiahao, Bukhari, Mohsin, Thurow, Kerstin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.06.2025; MDPI
• Subjects: Accuracy; Acoustics; Algorithms; ambient monitoring; Artificial intelligence; Back propagation; Economic aspects; gas detection; indoor positioning; Internet of Things; Localization; object tracking; Privacy; Protection and preservation; Robots; Sensors; Software; Technology; ultra-wideband; Ultrasonic imaging; Volatile organic compounds; Switzerland; China; ambient monitoring; gas detection; ultra-wideband; object tracking; indoor positioning; Internet of Things; sensor node
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s25134061

Ambient monitoring in chemical laboratories and industrial sites that use toxic, hazardous, or flammable materials is essential to protect the lives of workers, material resources, and infrastructure at these sites. In this research paper, we present an innovative approach for developing a low-cost and portable sensor node that detects and warns of hazardous chemical gas and vapor leaks. The system also enables leak location tracking using an indoor tracking and positioning system operating in ultra-wideband (UWB) technology. An array of sensors is used to detect gases, vapors, and airborne particles, while the leak location is identified through a UWB unit integrated with an Internet of Things (IoT) processor. This processor transmits real-time location data and sensor readings via wireless fidelity (Wi-Fi). The real-time indoor positioning system (IPS) can automatically select a tracking area based on the distances measured from the three nearest anchors of the movable sensor node. The environmental sensor data and distances between the node and the anchors are transmitted to the cloud in JSON format via the user datagram protocol (UDP), which allows the fastest possible data rate. A monitoring server was developed in Python to track the movement of the portable sensor node and display live measurements of the environment. The system was tested by selecting different paths between several adjacent areas with a chemical leakage of different volatile organic compounds (VOCs) in the test path. The experimental tests demonstrated good accuracy in both hazardous gas detection and location tracking. The system successfully issued a leak warning for all tested material samples with volumes up to 500 microliters and achieved a positional accuracy of approximately 50 cm under conditions without major obstacles obstructing the UWB signal between the active system units.