Machine learning based smart water heater controller using wireless sensor networks

This invention describes a smart controller for a hot water heater. Instead of just sensing water temperature at the heater, it uses sensors at each hot water tap (like a shower or dishwasher) to measure the temperature of the water coming out. This allows the system to heat water to precisely the right temperature for each specific use, avoiding the energy waste of heating water too hot and then mixing it with cold water. The claims specifically focus on adjusting the water heater's tank temperature to a lower range (30-45°C) when hotter water isn't needed, based on a standard usage pattern.

Why it matters: The core technologies, wireless sensor networks and machine learning, have become significantly more robust, cost-effective, and easier to implement since 2015. This makes the data collection and intelligent scheduling aspects much more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedWireless sensors, controller, machine learning software

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