Vehicle Air Conditioner Emotion-Based Wind Control
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Solution Overview
Problem
Conventional vehicle air conditioning systems operate in a fixed state, leading to passenger dissatisfaction due to lack of real-time temperature and emotion-based control.
Innovation Solution
A vehicle system incorporating a temperature sensor, camera, and bio-signal sensor to measure indoor temperature and passenger emotions, controlling air conditioner wind type, direction, and strength based on these inputs to enhance passenger comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the air conditioner operates in a fixed predetermined state to maintain a predetermined temperature, then the temperature control stability is improved, but the passenger satisfaction deteriorates due to lack of real-time adaptation
Solution Approach 1:
The air conditioner transitions from a static fixed-state operation to a dynamic adaptive system that continuously adjusts wind type, temperature, and blowing direction based on real-time passenger emotion detection. The controller dynamically modifies operating parameters according to detected passenger states, enabling the system to adapt to changing conditions while maintaining temperature control stability.
Solution Approach 2:
The system incorporates emotion sensors that detect passenger emotional states and provide feedback to the controller. This feedback loop enables the air conditioner to adjust its operation in real-time based on passenger satisfaction levels, resolving the contradiction between maintaining stable temperature control and adapting to passenger needs.
2Device complexity
If the air conditioner operates without variation in a predetermined state, then the system complexity is reduced, but the passenger satisfaction deteriorates due to monotony and lack of responsiveness
Solution Approach 1:
The air conditioner becomes a self-adjusting system that automatically modifies its operation based on detected passenger emotions without requiring manual intervention. The system monitors passenger states through emotion sensors and autonomously changes wind parameters, maintaining operational simplicity from the user perspective while achieving adaptive responsiveness.
Solution Approach 2:
The system changes operating parameters (wind type, temperature, blowing direction) based on detected passenger emotions. This allows the air conditioner to provide varied and responsive operation without increasing apparent system complexity, as changes are automatically driven by sensor feedback rather than user input.
3Adaptability or versatility
If emotion sensors and multiple sensors are added to detect passenger emotions and bio-signals, then the adaptability to passenger needs is improved, but the device complexity increases
Solution Approach 1:
The emotion sensor serves multiple functions: detecting passenger emotions, determining satisfaction levels, and triggering appropriate air conditioner responses. This multi-functionality allows the system to achieve adaptability without proportionally increasing complexity, as a single sensor system handles multiple detection and control tasks.
Solution Approach 2:
The patent combines temperature sensors, humidity sensors, and emotion sensors into an integrated monitoring system. By merging these sensing functions and processing them through a unified controller, the system achieves comprehensive adaptability while managing overall complexity through integration rather than separate independent systems.
Data Source
AI summary
The vehicle includes an air conditioner, a temperature sensor configured to measure an indoor temperature of the vehicle, a camera configured to obtain an image data of a passenger, and a bio-signal sensor configured to measure a bio-signal of the passenger. A controller is configured to control, when a predetermined condition is satisfied, the air conditioner to change a type of wind blowing at predetermined time intervals, to obtain emotion information corresponding to the changed type of wind based on at least one of the image data or the bio-signal, and to blow a type of wind for which a degree of positiveness of emotion information is equal to or greater than a threshold level.