Machine learning techniques for improved water conservation and management
US11507861B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Feb 26, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Apr 9, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for collecting and analyzing sensor data to predict water fixture failure and water consumption are provided. In one embodiment, a method is provided that includes receiving sensor data regarding a water fixture. Changepoints may then be calculated within the sensor data and the sensor data may be split into intervals at the changepoints. A machine learning model may then be used to classify the intervals and a status of the water fixture and water consumption may be identified based on the classified intervals.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.