Systems and method for providing automated heating, cooling and ventilation control
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Solution Overview
Problem
Existing heating, ventilation, and air conditioning (HVAC) systems lack the ability to automatically adjust settings based on the presence of individuals or pets in a space, leading to inefficient energy use and comfort issues.
Innovation Solution
A controlling device, such as a smart thermostat, uses sensors to identify categories of individuals (e.g., adult male, adult female, child, pet) and selects corresponding HVAC profiles to control heating, ventilation, and cooling elements, ensuring personalized comfort levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If HVAC systems use fixed settings without occupancy detection, then device complexity is reduced, but comfort levels and energy efficiency deteriorate
Solution Approach 1:
The HVAC system automatically detects occupancy using sensors and autonomously selects appropriate profiles without requiring manual user input. The system serves itself by making intelligent decisions based on detected presence, thereby improving adaptability while avoiding the complexity of manual configuration interfaces.
Solution Approach 2:
The system continuously monitors occupancy status through sensors and uses this feedback to dynamically adjust HVAC settings. This closed-loop control enables personalized environmental control while maintaining manageable system complexity through automated decision-making algorithms.
2Loss of energy
If HVAC systems automatically adjust based on occupancy detection, then comfort and energy efficiency improve, but device complexity increases
Solution Approach 1:
The system autonomously optimizes energy consumption by detecting occupancy and automatically selecting appropriate HVAC profiles. This self-service capability improves energy efficiency without requiring complex user programming or manual intervention, as the system independently makes optimization decisions based on real-time occupancy data.
Solution Approach 2:
The system changes operational parameters (temperature, ventilation) based on detected occupancy states by selecting from pre-configured profiles. This approach improves energy efficiency through parameter optimization while keeping system complexity manageable by relying on predefined parameter sets rather than requiring complex real-time calculation algorithms.
3Ease of operation
If HVAC systems use generic settings for all occupants, then device complexity is minimized, but personalized comfort deteriorates
Solution Approach 1:
The system automatically provides personalized comfort by detecting occupancy and selecting appropriate profiles without requiring users to manually configure settings. This self-service approach delivers personalized adaptation while maintaining ease of operation, as users simply need to be present for the system to automatically adjust environmental conditions to their preferences.
Data Source
AI summary
A controlling device receives from at least one sensor a first data and the controlling device uses the first data to identify at least one of a plurality of general object categories. The identified at least one of the plurality of general object categories to is used to select at least one of a plurality of heating, ventilation, and cooling (HVAC) profiles and the selected at least one of the plurality of HVAC profiles to control one of more HVAC elements.