Spatial Temperature Sensing Using Ceiling and Floor Infrared Detection
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Solution Overview
Problem
Existing air conditioning systems are unable to accurately sense temperature within indoor spaces, relying on estimating posture to calculate feel-like temperature, which limits their effectiveness in temperature control.
Innovation Solution
A temperature sensing system comprising a first detector for ceiling temperature and a second detector for infrared radiation from the floor, with a processing unit calculating a spatial temperature distribution including a height component between the ceiling and floor to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If posture estimation is used to calculate feel-like temperature, then temperature control can be performed, but temperature sensing accuracy is insufficient
Solution Approach 1:
The patent transitions from two-dimensional temperature measurement (ceiling and floor only) to three-dimensional spatial temperature distribution by incorporating height direction components. The processing unit calculates temperature at multiple height levels between ceiling and floor, creating a comprehensive 3D temperature map that significantly improves measurement precision without requiring complex multi-point sensing throughout the space
Solution Approach 2:
The patent introduces an intermediary calculation approach where the processing unit derives intermediate temperature values at different heights based on ceiling and floor measurements. Rather than directly measuring at every point, the system uses thermal radiation detection and spatial interpolation to estimate temperatures at intermediate levels, achieving high precision while maintaining device simplicity
2Measurement precision
If only ceiling temperature is detected, then device complexity is low, but overall temperature distribution accuracy is insufficient
Solution Approach 1:
The patent segments the temperature measurement task into two strategic detection points (ceiling and floor) while computationally dividing the space into multiple height-based zones. This segmentation allows the system to infer complete spatial distribution from limited physical measurements, avoiding the need for numerous detectors throughout the volume
Solution Approach 2:
The system creates a computational copy of the physical space by generating a three-dimensional temperature distribution model based on limited physical measurements. The processing unit reconstructs the full spatial temperature field from ceiling and floor data, effectively copying the thermal characteristics of the entire volume without physically sampling every location
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
The system increases temperature sensing accuracy by calculating a three-dimensional spatial temperature distribution, allowing for more precise temperature control and comfort assessment in indoor spaces.
Implementation Method 1
a second detector configured to detect infrared radiation emitted from a floor and output second information about the infrared radiation from the floor
Data Source
AI summary
A temperature sensing system senses a temperature in the monitor space. The temperature sensing system includes a first detector, a second detector, and a processing unit. The first detector detects a temperature on a ceiling and outputs first information about the temperature on the ceiling. The second detector detects infrared radiation emitted from a floor and outputs second information about the infrared radiation from the floor. The processing unit calculates, based on at least the first information and the second information, a spatial temperature distribution which includes a component in a height direction with respect to the monitor space between the ceiling and the floor.