HVAC Image Analysis for Occupant-Adaptive Temperature Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
HVAC systems often maintain a target temperature that can be uncomfortable for occupants, leading to wasted energy and discomfort, as they do not account for individual occupant characteristics or external environment conditions.
Innovation Solution
A temperature modification system that uses image analysis to identify occupant characteristics and compare them to external environment attributes, adjusting the interior environment temperature when discrepancies exceed a threshold, thereby improving comfort and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If HVAC systems maintain a fixed target temperature, then temperature stability is improved, but energy efficiency deteriorates due to excessive heating and cooling
Solution Approach 1:
The HVAC system dynamically adjusts the target temperature based on real-time image analysis of occupant characteristics (clothing, posture, activity level) rather than maintaining a fixed temperature. This allows the system to adapt heating and cooling levels to actual occupant needs, reducing energy waste while maintaining comfort.
Solution Approach 2:
The system changes the temperature parameter based on analyzed occupant characteristics from images. By extracting features such as clothing type, body posture, and activity level from images, the system modifies the target temperature parameter to match actual occupant comfort needs, avoiding excessive heating or cooling.
2Device complexity
If HVAC systems maintain a fixed target temperature, then system simplicity is improved, but occupant comfort deteriorates due to not accounting for individual characteristics
Solution Approach 1:
The system automatically analyzes occupant characteristics from images and autonomously adjusts temperature settings without requiring manual input from occupants or complex user interfaces. The HVAC system serves itself by using image processing to determine appropriate temperature adjustments based on detected occupant attributes.
Solution Approach 2:
The system replaces manual temperature adjustment mechanisms with automated image analysis and processing. Instead of requiring occupants to manually control thermostats or provide feedback, the system uses computer vision technology to automatically detect occupant characteristics and adjust environmental controls accordingly.
3Manufacturing precision
If image analysis is implemented to identify occupant characteristics, then temperature control precision is improved, but system complexity increases
Solution Approach 1:
The system introduces image processing technology as an intermediary between occupants and the HVAC control system. The image analysis module extracts relevant characteristics (clothing, posture, activity) from images and translates them into temperature adjustment parameters, serving as a mediator that bridges visual data and environmental control.
Solution Approach 2:
The system replaces traditional manual or sensor-based occupancy detection with automated image analysis. By using computer vision to detect and analyze occupant characteristics from images, the system achieves more precise temperature control while automating the previously manual or simplistic detection processes.
Data Source
AI summary
A method can include obtaining a set of images of a set of occupants located in an interior environment. The interior environment can have a first temperature. The method can include identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants. The method can include obtaining a second temperature of an external environment. The method can include generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor. The method can include determining that the discrepancy factor exceeds a threshold. The method can include initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.