Self-learning home system and framework for autonomous home operation
US11902043B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 2, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Jan 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2642
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for automated operation of network devices within a home communication network includes detecting actuator actions for a plurality of actuators within the home communication network, each actuator of the plurality of actuators configured to change a state of at least one network device. The detected actuator actions are correlated with one or more sensor values from a plurality of sensors within the home communication network to generate configuration data. The configuration data includes a trigger graph with one or more trigger conditions and an action graph corresponding to the trigger graph. The action graph indicates one or more actuator actions associated with at least one actuator of the plurality of actuators. Upon detecting a trigger condition of the one or more trigger conditions, the at least one actuator of the plurality of actuators is triggered to perform the one or more actions indicated by the action graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.