Personalized ambient temperature management
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Solution Overview
Problem
Current home automation systems for temperature control are inflexible and fail to provide personalized ambient temperature management tailored to individual preferences and varying conditions within a home.
Innovation Solution
A system and method that utilize sensors and processors to determine the location, temperature, and state of occupants within a home, adjusting home components such as HVAC systems based on these inputs to provide personalized temperature management, considering factors like occupancy, preferences, and outdoor conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional temperature control systems are used, then system simplicity is maintained, but personalization and flexibility are lost
Solution Approach 1:
The system divides the home into multiple zones with individual temperature control, and segments temperature management by occupant profile. Each zone and occupant can have customized temperature settings, allowing personalization without requiring complete system redesign. The segmentation enables independent control of different areas based on specific occupancy needs.
Solution Approach 2:
The system dynamically adjusts temperature settings based on real-time occupancy detection, time of day, and external weather conditions. Rather than static temperature control, the system continuously adapts to changing conditions, providing personalization and flexibility while using sensors and processors to manage the dynamic adjustments automatically.
2Ease of operation
If personalized temperature control for each occupant is implemented, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system applies temperature control locally to occupied zones rather than uniformly throughout the entire home. When sensors detect occupancy in specific areas, the system adjusts temperature only in those zones, maintaining comfort for occupants while avoiding energy waste in unoccupied areas. This localized approach balances comfort with energy efficiency.
Solution Approach 2:
The system uses periodic scheduling to anticipate occupancy patterns and pre-adjust temperatures before occupants arrive or become active. By predicting when zones will be occupied based on historical data and schedules, the system can efficiently manage energy consumption while ensuring comfort is ready when needed, rather than continuously running systems at full capacity.
3Measurement precision
If multiple sensors and processing components are added for occupancy detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that can detect multiple types of occupancy information simultaneously. Sensors are designed to detect presence, temperature, humidity, and potentially other parameters with a single device, reducing the overall number of components needed while maintaining high measurement precision for occupancy detection.
Data Source
AI summary
Systems, methods, and apparatus for automation control for personalized ambient temperature management are disclosed. First input corresponding to a first set of sensors may be processed. A location of a first occupant of a home may be determined based on the first input. Second input corresponding to a second set of sensors may be processed. A first temperature in the location may be determined based on the second input corresponding to the second set of one or more sensors. A first state of the first occupant in the location may be determined based on third input corresponding to the first set of sensors or corresponding to a third set of sensors. An adjustment may be determined based on the location, the first temperature, and the first state of the first occupant. One or more components of the home may be caused to adjust based on the adjustment.