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On some of the integration steps, we'll point you to a previous post where we detail the setup.
They will make an HTTP request to a URI that you provide to Twilio.
Given the feed characterization and the inlet conditions, the concentration and temperature profiles throughout the reactors, the amount of recycle and hydrogen consumption can be calculated.
The model was validated against plant data and the agreement was generally good.
Your application performs whatever logic you feel necessary - read/write from a database, integrate with another API or perform some computation - then replies to Twilio with a Twi ML response with the instructions you want Twilio to perform.
This is our fourth guide exploring working with Twilio and Amazon's AWS services.
The effect of variation in the model parameters and operating conditions has also been discussed.