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Development of Energy Autonomous Wearable Sensor Node for Oxygen Monitoring in Underground Tunnels
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorarkitektur och datorkommunikation. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för datorteknik.ORCID-id: 0000-0002-7118-5837
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorarkitektur och datorkommunikation. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för datorteknik.ORCID-id: 0000-0002-2586-8573
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi.ORCID-id: 0000-0002-7066-3577
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för datorteknik. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för elektroteknik, Nätverksbaserade inbyggda system.
2024 (engelsk)Inngår i: 2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024, IEEE, 2024, s. 394-397Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Underground tunnels contain toxic, hazardous gases or lack oxygen. Therefore, providing the safety of personnel working in underground tunnels by monitoring oxygen, combustible or toxic gases is important. Wearable sensor networks are used in various applications such as oxygen monitoring. Some wearable sensor networks for gas monitoring are powered by batteries. Given the finite lifetime of batteries and the long term stay of underground personnel in these places, e.g. as a result of incidents, having a wearable sensor node with a stable power supply is crucial to conducting oxygen monitoring and notifying the emergency conditions. In order to provide a battery-less operation of the wearable sensor node, one approach is to use ambient energy sources. Considering the fact that the human body can survive only a few minutes without oxygen, the goal of our work is to investigate whether the power generated as a result of temperature difference between the body and ambient air is sufficient to power a sensor node for conducting oxygen detection every 20 seconds. Therefore, we present the development of a wearable sensor node for oxygen detection. The platform consists of a thermoelectric generator (TEG) converter, a sensing circuit for an electrochemical gas sensor and a power management circuit. Our experimental results with our platform indicate that a temperature difference of 6 degrees C between the body and the ambient air and storing the harvested energy in a capacitor ensure the autonomous operation of the wearable sensor node for measurements and alarm actuation conducted every 15 seconds. The period between the measurements could even become less than 15 seconds in underground tunnels as the temperature difference increases.

sted, utgiver, år, opplag, sider
IEEE, 2024. s. 394-397
Serie
Mediterranean Conference on Embedded Computing, ISSN 2377-5475
Emneord [en]
Wearable sensor node, oxygen monitoring, energy harvesting, underground tunnels
Identifikatorer
URN: urn:nbn:se:uu:diva-537574DOI: 10.1109/MECO62516.2024.10577893ISI: 001268606200074ISBN: 979-8-3503-8756-8 (tryckt)ISBN: 979-8-3503-8757-5 (tryckt)OAI: oai:DiVA.org:uu-537574DiVA, id: diva2:1895314
Konferanse
13th Mediterranean Conference on Embedded Computing (MECO), JUN 11-14, 2024, Budva, MONTENEGRO
Forskningsfinansiär
Swedish Foundation for Strategic ResearchTilgjengelig fra: 2024-09-05 Laget: 2024-09-05 Sist oppdatert: 2024-09-05bibliografisk kontrollert

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