Determination of a temperature in an HVAC system
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Solution Overview
Problem
HVAC systems face challenges in accurately measuring rapid and strong temperature changes due to the slow response times of temperature sensors, which can lead to delayed reaction times in control systems, and thermal isolation methods may compromise response times while also being complex and costly.
Innovation Solution
A method involving repeated temperature measurements with a correction algorithm to compensate for sensor response time, allowing for precise and fast temperature determination using ordinary sensors, without requiring special hardware setups, by processing raw data to reduce response time and account for self-heating effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensors are thermally isolated from electronic components, then measurement accuracy is improved, but response time deteriorates
Solution Approach 1:
The patent introduces a correction algorithm as a software intermediary that processes raw temperature data to compensate for the thermal isolation delay. The algorithm uses historical temperature values and calculated correction factors to estimate the actual temperature, effectively bridging the time lag between the sensor's thermal isolation and the real ambient temperature without requiring physical modification to the sensor mounting.
2Speed
If correction algorithms are applied to compensate for response time, then temperature determination speed is improved, but device complexity increases
Solution Approach 1:
The correction algorithm modifies the temperature measurement by applying parameter changes based on calculated correction factors. It adjusts the raw temperature values using mathematical operations (addition, multiplication) with pre-determined correction factors that account for thermal mass and isolation characteristics, thereby accelerating temperature determination through software-based parameter transformation rather than hardware modification.
3Device complexity
If ordinary temperature sensors are used without special hardware setups, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical/physical approach of thermal isolation with a software-based correction system. Instead of using complex thermal management hardware or specialized sensors, the invention substitutes the physical correction mechanism with an algorithmic one that processes raw data mathematically, thereby achieving accurate temperature compensation using ordinary sensors without special hardware setups.
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
Enables highly precise and rapid determination of temperature changes, improving the responsiveness of HVAC systems to temperature fluctuations without the need for complex setups or specialized hardware, ensuring accurate control and efficient operation.
Implementation Method 1
repeatedly measuring the temperature with (using) a temperature sensor to acquire time-resolved raw temperature data
Implementation Method 2
processing the acquired raw temperature data with a correction algorithm that is configured to at least partly compensate for a response time of the temperature sensor
Implementation Method 3
processing the acquired raw temperature data with a correction algorithm that is configured to at least partly compensate for self-heating of the temperature sensor
Data Source
AI summary
A method for determining a temperature in a heating, ventilation, and/or air conditioning system includes repeatedly measuring the temperature with a temperature sensor to acquire time-resolved raw temperature data; processing the acquired raw temperature data with a correction algorithm that is configured to at least partially compensate for a response time of the temperature sensor, at least in selected time periods, using a computer processor to generate processed temperature data; and electronically outputting the processed temperature data to a user interface, a machine interface and/or a data storage medium.