I was working for a company collecting readings from IoT sensors of all sorts (anything between temperature/humidity to weirdest things like weight of poultry).

I was working for a company collecting readings from IoT sensors of all sorts (anything between temperature/humidity to weirdest things like weight of poultry). One issue we had was that we had to manually group related readings, this was specifically painful for data collected from bigger data sources with flat structure, like one sensor box with many wires connected into it and at the end of each wire there were multiple sensors collecting data - those sensors were then represented in the flat structure and only correct naming was allowing us to figure out what sensors were related to each other. I don't know if it is possible to group related streams of data purely based on values, I would be very interested to learn what is possible here. Generally data interoperability is the big problem in this field, manufacturers (and engineers) naming their things differently. One sensor manufacturer is calling temperature `Temp`, the other manufacturer is calling it `temperature`, or just `T1`... And I don't know if this problem is big enough, we were simply figuring this out each time we had new player introduced to us.