Problem Solved
Building automation systems often struggle to adapt to the dynamic needs of users and environmental conditions. Traditional systems lack the ability to personalize settings based on individual user preferences or changes in the environment, leading to inefficiencies and discomfort.
Core Features
This invention introduces a method for controlling building installations by capturing user-related data, such as mood, location, and activity, and environmental data. It uses a computer algorithm to process this information and determine the optimal settings for building systems like lighting, heating, and ventilation.
Inventive Step
The novelty lies in the algorithm's ability to predict and adjust building settings based on both user and environmental data, independent of user identity. This approach allows for a more personalized and efficient building environment, unlike existing systems that rely on static settings or manual adjustments.
Benefits
The invention enhances comfort and energy efficiency by dynamically adjusting building systems to meet the real-time needs of occupants. It also reduces energy waste by optimizing system performance based on actual usage patterns and environmental conditions.
Broader Impact
This technology can significantly improve energy efficiency in buildings, contributing to sustainability efforts and reducing operational costs. It also enhances user comfort, potentially increasing productivity and well-being in residential and commercial spaces.