Low-cost Wireless Condition Monitoring for an Ultracold Atom Machine.

We present a flexible wireless monitoring system for condition-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 customized 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. We supply prescriptions for the implementations of a range of sensor modules and describe the services we use to store, process, and visualize the data collected.