Thermal Imaging Climate Control for Multi-Zone Comfort Management
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Solution Overview
Problem
Traditional HVAC systems rely on a single thermostat for temperature control, failing to account for varying comfort zones within a premises influenced by factors like humidity, air movement, and individual preferences, leading to inadequate heating and cooling in different areas.
Innovation Solution
Implementing a real-time temperature management system using thermal sensors and data processors that capture thermal images, monitor comfort variables, and adjust temperature, humidity, and airflow settings based on calculated comfort zones and user inputs, incorporating pattern-based learning and ASHRAE thermal comfort standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single thermostat is used for temperature control, then the system is simple and easy to operate, but it cannot account for varying comfort zones within different areas of the premises
Solution Approach 1:
The patent divides the premises into multiple zones with individual thermal sensors and cameras, allowing each area to be controlled independently based on its specific comfort requirements rather than using a single centralized thermostat
Solution Approach 2:
The system transitions from single-point temperature measurement to multi-dimensional thermal mapping by incorporating thermal cameras that capture temperature distributions across entire rooms, adding spatial dimensionality to the control system
2Measurement precision
If traditional HVAC systems are used, then the system structure is simple, but they fail to provide accurate and personalized climate control
Solution Approach 1:
The patent replaces traditional mechanical temperature sensors with thermal imaging cameras and computer vision algorithms, using optical and computational methods to achieve more precise and comprehensive temperature measurement
Solution Approach 2:
The system introduces thermal cameras as intermediary devices that capture thermal radiation and convert it into visual images, allowing indirect but highly accurate measurement of temperature distributions without direct contact with the environment
3Ease of operation
If thermal sensors and data processors are implemented for real-time temperature management, then personalized and accurate climate control is achieved, but the device complexity increases
Solution Approach 1:
The system automatically processes thermal images and environmental data to generate personalized comfort zone mappings and HVAC control strategies without requiring manual user input, making the complex system operate autonomously
Solution Approach 2:
The patent implements continuous feedback loops where thermal sensors and cameras monitor environmental conditions, the system analyzes the data to identify comfort zones, and adjusts HVAC settings accordingly, creating a self-regulating personalized climate control system
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system provides accurate, efficient, and personalized climate control, improving HVAC system performance by accounting for specific user preferences and environmental conditions, ensuring optimal comfort across different areas of a premises.
Implementation Method 1
configuring a setting to trigger a thermal sensor to capture a thermal image of an area inside a premises
Data Source
AI summary
A method for real-time temperature management is described. In one embodiment, the method includes configuring a setting to trigger a thermal sensor to capture a thermal image of an area inside a premises and capturing, via the thermal sensor, a first thermal image of the area of the premises. In some embodiments, upon detecting the trigger, the method includes capturing, via the thermal sensor, a second thermal image of the area of the premises and identifying a thermal exchange in the area of the premises by comparing the first thermal image with the second thermal image.