Low-cost Wireless Condition Monitoring for an Ultracold Atom Machine
Matthew Chilcott, Niels Kj{\ae}rgaard

TL;DR
This paper introduces a low-cost, wireless IoT-based monitoring system designed for complex experimental setups like ultracold atom machines, enabling efficient condition-based maintenance and diagnostics.
Contribution
The paper presents a novel wireless monitoring platform that integrates customized sensors and existing instruments for comprehensive diagnostics in ultracold atom research labs.
Findings
Effective real-time monitoring of ultracold atom machine parameters
Flexible integration of sensors and instruments for diagnostics
Cost-efficient wireless system suitable for complex setups
Abstract
We present a flexible wireless monitoring system forbcondition-based maintenance and diagnostics tailored for dynamic and complex experimental setups encountered in modern research laboratories. Our platform leverages an Internet-of-Things approach to monitor a wide range of physical parameters via wireless sensor modules that broadcast to a networked computer. We give a specific demonstration for a so-called ultracold atom machine, which is the workhorse of many emerging quantum technologies and marries a broad spectrum of equipment and instrumentation into its setup. As a distinctive feature, our monitoring system taps into physical parameters of the ultracold atom machine both via customized sensor modules that directly perform measurements, and via modules that recruit and annex constituent instruments of the machine for the additional purpose of retrieving information for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
