Smart System for Monitoring and Controlling Oxygen Gas Level in High Purity Germanium Detector Room

Yvonne Uwamahoro (), Devotha G. Nyambo, Anael Sam and John Ben Ngatunga
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Yvonne Uwamahoro: School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology
Devotha G. Nyambo: School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology
Anael Sam: School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology
John Ben Ngatunga: Tanzania Atomic Energy Commission

A chapter in Smart and Secure Embedded and Mobile Systems, 2024, pp 263-276 from Springer

Abstract: Abstract Deaths are caused by breathing oxygen-deficient air all around the world. Nitrogen gas displaces oxygen in the air, bringing the percentage of oxygen down below 21% by volume, even if the number of fatalities varies from year to year and location to location. Particular environment/room, such as the High Purity Germanium Detector Room, requires tailor-made techniques to ensure oxygen levels are properly monitored to avoid any hazard. This study was done at the High Purity Germanium Detector Room at Tanzania Atomic Energy Commission. In the project, we used V-Model, which works effectively for small projects with clear requirements. It was easy to check every step before proceeding to the next level of development. In this project report ESP32 microcontroller was used because it is built-in Wi-Fi which was used to send data to the cloud server with the help of the internet connectivity provided by Global System for Mobile Communication. The developed system has four parts: The sensing part continuously monitors environmental parameters using Oxygen, MQ-135, and DHT22 sensors. The processing part processes and analyzes the collected data from sensors. The notification part alerts the workers using a buzzer and Short Message Service. In contrast, the controlling component replaces the compressed air contaminant with outside fresh air. The developed system uses Blynk Application to provide real-time monitoring. All the processed data could be accessed via mobile phones using Blynk application. The system could alert workers by sending SMS to the subscribed phone numbers and switch on the exhaust fan automatically.

Keywords: Liquid nitrogen; High purity germanium detector; Blynk application; Oxygen deficiency; ESP32; Air impurity (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-56603-5_23

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