I work for a company that manufactures large scientific instruments, with a single instrument having 100+ components: pumps, temperature sensors, valves, switches and so on. I write the WPF desktop software that customers use to control their instrument, which is connected to the PC via a serial or TCP connection. The concept is the same though - to change a pump's speed for example, I would send a "command" to the instrument, where an FPGA and custom firmware would take care of handling that command. The desktop software also needs to display dozens of "readback" values (temperatures, pressures, valve states, etc.), and are again retrieved by issuing a "command" to request a particular readback value from the instrument.
We're considering implementing some kind of telemetry service, whereby the desktop application will record maybe a couple of dozen readback values, each having its own interval - weekly, daily, hourly, per minute or per second.
Now, I could write my own telemetry solution, whereby I record the data locally to disk then upload to a server (say) once a week, but I've been wondering if I could utilise Azure IoT for collecting the data instead. After wading through the documentation and concepts I'm still none the wiser! I get the feeling it is designed for "physical" IoT devices that are directly connected to the internet, rather than data being sent from a desktop application?
Assuming this is feasible, I'd be grateful for any pointers to the relevant areas of Azure IoT. Also, how would I map a single instrument and all its components (valves, pumps, etc) to an Azure IoT "device"? I'm assuming each component would be a device, in which case is it possible to group multiple devices together to represent one customer instrument?
Finally, how is the collected data reported on? Is there something built-in to Azure, or is it essentially a glorified database that would require bespoke software to analyse the recorded data?