Design of an Internet of Things - based multi-channel temperature monitoring system
Barbara Clerbaux, Daniel G\'omez de Gracia, Pierre-Alexandre, Petitjean, Yifan Yang

TL;DR
This paper presents a Wi-Fi mesh-based temperature monitoring system for IoT applications, specifically designed to track the overheating of electronic mezzanines in a large neutrino observatory setup.
Contribution
It introduces a novel IoT-based multi-channel temperature monitoring system utilizing Wi-Fi mesh technology for real-time data collection from numerous devices.
Findings
Successful implementation of Wi-Fi mesh for temperature monitoring
Real-time data collection from 1080 mezzanines demonstrated
First test results validate system effectiveness
Abstract
In the scope of the Jiangmen Underground Neutrino Observatory (JUNO) project, 6 back-end card (BEC) mezzanines connected to one BEC base board are in charge of compensating the attenuated incoming data from 48 front-end channels over 48 100-meter-long ethernet cables. Each of the mezzanines has 16 equalizers that may be subject to overheating. It is important therefore to monitor their temperature in real time. However, collecting data from a relatively large (1080) number of mezzanines is not a trivial task. In this work we propose a solution based on Wi-Fi mesh. Both the technical details and the first test results performed are be reported.
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