Method and system for automatic detection of inefficient household thermal insulation
US11204333B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2018 |
| Grant date | Dec 21, 2021 |
| Priority date | — |
| Expiry date | Oct 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2614
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system for automatic detection of inefficient household thermal insulation includes a server module and a plurality of household client modules. The system performs the following steps: acquiring data relating to each monitored household; identifying periods of HVAC down-time and determining indoor temperature gained during these periods; extracting parameters of temperature gain, relating to the measured rate of temperature gain during the down time; training a machine learning algorithm, to create at least one classification model, wherein all monitored households are classified according to the parameters of temperature gain; producing expected values for parameters of temperature gain per each household, according to household's class membership; producing the ratio between the expected and measured values for parameters of temperature gain per each monitored household; comparing the ratio among similar households; and identifying inefficiently insulated household according to the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.