Offset-Based Temperature Control Using Auxiliary Sensor Feedback
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Solution Overview
Problem
Existing temperature control systems in indoor spaces, such as buildings or homes, often require multiple adjustments to achieve a desired temperature, leading to inefficient energy consumption and reduced battery life in battery-driven controllers due to frequent adjustments.
Innovation Solution
A method and system for temperature control that utilizes multiple temperature sensors to determine optimal temperature setting points for controllers, minimizing adjustments by using offset calculations based on desired and measured temperature data, thereby optimizing energy use and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple adjustments are performed to achieve desired temperature, then temperature control accuracy is improved, but battery consumption increases and battery lifetime decreases
Solution Approach 1:
The system performs preliminary calculations using offset values derived from auxiliary temperature sensors and historical data before actual temperature adjustments. This preliminary action allows the controller to predict optimal setting points, reducing the need for multiple trial adjustments and thereby conserving battery power while maintaining temperature control accuracy.
Solution Approach 2:
The controller uses its own historical temperature data and auxiliary sensor information to self-determine optimal temperature setting points through offset calculations. This self-service mechanism reduces dependency on frequent manual adjustments or complex external control signals, minimizing battery consumption while achieving desired temperature control.
2Measurement precision
If multiple adjustments are performed to achieve desired temperature, then temperature control accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary calculations using offset values derived from auxiliary temperature sensors and historical data before actual temperature adjustments. This preliminary action allows the controller to predict optimal setting points, reducing the need for multiple trial adjustments and thereby conserving battery power while maintaining temperature control accuracy.
Solution Approach 2:
The controller uses its own historical temperature data and auxiliary sensor information to self-determine optimal temperature setting points through offset calculations. This self-service mechanism reduces dependency on frequent manual adjustments or complex external control signals, minimizing battery consumption while achieving desired temperature control.
3Productivity
If temperature adjustments are frequent, then desired temperature is achieved faster, but battery lifetime is reduced
Solution Approach 1:
The system performs preliminary calculations using offset values derived from auxiliary temperature sensors and historical data before actual temperature adjustments. This preliminary action allows the controller to predict optimal setting points, reducing the need for multiple trial adjustments and thereby conserving battery power while maintaining temperature control accuracy.
Solution Approach 2:
The system incorporates feedback from auxiliary temperature sensors and historical temperature data to continuously refine offset calculations. This feedback mechanism enables the controller to make more accurate predictions about optimal temperature setting points, reducing the frequency of adjustments needed while maintaining fast response to temperature changes.
Data Source
AI summary
A method and a control system for temperature control in a temperature conditioning system. The method comprises obtaining desired temperature data; receiving temperature data from a plurality of temperature sensors, the temperature data including first temperature data from a first temperature sensor and auxiliary temperature data from an auxiliary temperature sensor; determining a first temperature setting point for a first controller of a first source based on the desired temperature data, the first temperature data and the auxiliary temperature data; and sending a first control signal indicative of the first temperature setting point to the first controller.


