Temperature estimation device, air conditioning control device, and air conditioning system
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Solution Overview
Problem
Current sleep environment temperature control devices do not effectively determine the optimal temperature for improving sleep quality based on parasympathetic nerve activity stability, which is crucial for relaxation and better sleep outcomes.
Innovation Solution
A temperature estimation device that includes a derivation unit to determine the stability of parasympathetic nerve activity for each environment temperature and an estimation unit to estimate an appropriate environment temperature suitable for a sleeper by deriving a correspondence relationship between temperature and parasympathetic nerve activity stability, using biological signals such as heartbeat data to control air conditioning systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional temperature control devices are used, then basic temperature adjustment is available, but they cannot determine optimal temperature based on parasympathetic nerve activity stability
Solution Approach 1:
The system continuously monitors parasympathetic nerve activity through biological signals (heart rate variability) and uses this feedback to dynamically adjust the environment temperature. The control unit compares the measured stability against target values and modifies temperature settings accordingly, creating a closed-loop control system that optimizes sleep quality based on real-time physiological feedback.
Solution Approach 2:
The control device automatically determines optimal temperature settings by analyzing the sleeper's own physiological data without requiring manual input or intervention. The system self-adjusts the temperature based on the detected parasympathetic nerve activity patterns, enabling autonomous optimization of the sleep environment.
2Reliability
If temperature control based on physiological parameters is implemented, then sleep quality improves, but measurement and detection complexity increases
Solution Approach 1:
The system uses heart rate variability as an intermediary indicator to indirectly measure parasympathetic nerve activity stability. Instead of directly measuring complex neurological parameters, the control unit analyzes variations in heart rate intervals, which serve as a reliable proxy for autonomic nervous system state, thereby simplifying the measurement process while maintaining measurement reliability.
3Measurement precision
If continuous monitoring of biological signals is performed, then accurate temperature estimation is achieved, but energy consumption increases
Solution Approach 1:
The system performs periodic measurement of biological signals at strategically selected time points during the sleep period rather than continuous monitoring. The control unit measures heart rate variability at intervals that capture the essential patterns of parasympathetic activity while allowing energy-saving modes between measurements, thus reducing overall energy consumption while maintaining sufficient measurement precision for accurate temperature estimation.
Data Source
AI summary
The derivation unit determines the stability of a parasympathetic nerve activity of the sleeper for each environment temperature, and derives a correspondence relationship between the environment temperature and the stability of the parasympathetic nerve activity of the sleeper. An estimation unit estimates an appropriate value of the environment temperature suitable for the sleeper based on the correspondence relationship derived by the derivation unit.