Engineer Adapts Industrial IoT Platform to Monitor Dog Health in Weekend Demo
A developer at an industrial IoT company built a dog health monitoring demo called PawTrack by repurposing DGIOT, their open-source platform used across 928 gateways in oil fields and maritime operations. The system uses a simulated smart collar to stream a dog's heart rate, body temperature, activity level, and battery status every two seconds via MQTT. A key feature is the DLAS ontology engine, which applies breed-specific health reasoning — for example, flagging activity drops in Golden Retrievers as higher risk due to hip dysplasia susceptibility. Digital twin technology, already used to manage remote industrial sensors during outages, keeps the system stable when the collar loses connectivity. The project, built in a single afternoon, was submitted as an entry to Dev.to's Dog Days Challenge, with the underlying platform available on GitHub under an Apache 2.0 license.
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