Water Quality: Strengths of AI in Water, Part 4

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Water Quality: Strengths of AI in Water, Part 4

This is the one that I keep coming back to. It is quite complicated. Data from sensors can help AI to identify changes in water quality. This is because previous identifying factors in water quality can be compared to current ones. This can be used to quickly spot from contamination 

If water plants and water companies have plans for the sudden presence of pollutants such as harmful algae blooms or whatever then this coupled with quick and early detection can really enhance the safety of our water. But I still think the whole idea of AI quickly analysing
  • The state of the water before treatment
  • The dosages and chemicals used
  • The processes used
  • The result of the water after the treatment
  • And rinse and repeat
Has something to be said for it. And I think taking into account turbidity and pH and the changes and seasons and historic data really means that there is so much more to be said here as well. And there is so much more here to do.

Thank you

A birds eye view of a water treatment plant and some edited green images of water


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