As part of a subsidized project for reducing CO2, iotopus developed the hardware for a “first prototype” setup to harvest and manipulate data from a boiler house in a healthcare institution.
The temperature data from different temperature sensors in the boiler house is “sniffed” by a modular system with smart fallback options. The data is collected by a python scripted 5G Hub, which uploads this to a Digital Twin for further processing. A new set temperature was suggested by the Digital Twin and was “spoofed” into the system to reduce the emissions.
The complete installation of this and testing was executed by
iotopus and commissioned by Sensorfact.
Used expertise
Measurement and Control, Sourcing, Prototype assembly, Electronics, Temperature sensors, Installation