Abstract
Optimizing environmental factors such as air ventilation flow, temperature, lighting levels, etc. with time-based fixed settings or presence detection by motion sensors can waste energy and provide less than optimal conditions for users. This disclosure describes techniques that use information obtained (with user permission) from multiple available sensors to optimize the settings for various environmental factors such as light intensity, temperature, air ventilation, etc. within public or private spaces. Sensor observations from smart home devices/ smart appliances within the physical space, as well as from mobile/ wearable devices such as smartwatches, smartphones, etc. are combined to detect human presence within the space and to adjust settings accordingly. User feedback may be obtained via in-app prompts and/or notifications for such automatic control. The described techniques can improve user satisfaction with a physical space and can reduce and/or optimize energy consumption. The techniques can be used both for private and public spaces. The techniques can improve the effectiveness of public spaces such as restaurants, stores, event venues, etc. by providing a more comfortable environment.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Guajardo, Jaime; Boiarshinov, Dmitrii; and Lanning, Gabriella, "Occupancy-based Environment Control for Physical Spaces", Technical Disclosure Commons, (December 07, 2023)
https://www.tdcommons.org/dpubs_series/6479