Check if building different Models or Single Model will suffice?

What method can be used to check whether I need to build a single model or different models if the data is coming from two similar sensor type but installed on different locations where conditions can be different? Can I use KS test on all the features on the two datasets and compare whether they belong to the same distribution? If they are having same distribution then I think single model will suffice.

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