Yeah I do not expect it to be easy. I have my own sensors that need to be created so the AI system can then control the actual output.
The prototypes work great for their purpose, just like looking at far away planets and galaxies to determine what they are made of (earth & atmosphere). There is the entire periodic table of elements in the visible absorbance spectra. All atoms have an absorbance spectra… Some have yet to be produced.
We can detect clean solvent, terpenes, flavanoids, cannabinoids, solvent saturation %, and many other products via absorbance detection. In the end, this is much more sensitive than fluorescence detection, which is sensitive to fluorescent molecules but not to other molecules (basically just shows impurities).
Our absorbance system still holds true to this day for distillation… I have since tested my technology with extraction as well and as expected; it works flawlessly with extraction just as it did with distillation.
The tech is very simple and proven in other industries. Like NASA or whoever decides what the atmosphere on other planets is. Its the exact same concept except applied to a local extraction model.
So we have a local example, what could possibly be in the mixture, which then could be used to decide what CRC media is used, and then finally confirmed at the CRC outlet to verify the absorbance spectra.
I intend to put one on the incoming solvent to live-calibrate the other two sensors, which are placed after the extraction column otw to the work basin and one after CRC otw to the purge basin. Then we can remove the solvent from the other two sensors, which the solvent can change over the run if terpenes get recovered at any point along with your extraction solvent (co-distillation) which definitely happens more at lower pressures than higher pressures.
I think with enough data, we can predict what CRC media would be needed and then confirmed that there was enough media / verify how well it did with the final CRC sensor. This data would all get fed into the AI to help train the model further. Then over time we can predict the media and amount based on the input bio / product in the work basin.