This system keeps an eye on a water purification setup, using sensors to check water quality at different stages and a meter to track how much water flows through. It sends this data to a computer that figures out how much water has been cleaned, how much dirt it's removed, and when the system will need maintenance. The patent's main focus is on a way to charge for treated water over a specific time, with the price linked to the expected amount of water and its quality, and to predict when the system needs servicing based on how conductive the water is.
Why it matters: Filed before the widespread availability of affordable, integrated IoT platforms and mature machine learning models for predictive maintenance. The system's core functions of real-time data analysis, service life prediction, and automated scheduling are now significantly easier to implement with current cloud and AI tools.
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