Vehicle Climate Control Using Thermal Imaging for Window Condensation
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Solution Overview
Problem
Traditional vehicle climate systems fail to adapt to the diverse and dynamic thermal comfort needs and visibility requirements of individual passengers, leading to suboptimal comfort and safety due to the need for manual adjustments by drivers, and existing humidity sensors are costly and inefficient for comprehensive fog and frost detection.
Innovation Solution
An adaptive climate control system using thermal imaging and physiological state detection to automatically adjust HVAC systems, including windshield wipers and defrosters, based on thermal images and passenger-specific data to manage condensation conditions and personalize cabin conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual driver control is used for visibility and climate management, then drivers can adjust systems based on subjective observations, but driver distraction increases and constant adjustment is difficult
Solution Approach 1:
The system enables self-service by using thermal imaging cameras and sensors to automatically detect condensation, fog, and frost conditions on windows. The HVAC system then autonomously adjusts temperature, humidity, and airflow without driver intervention, allowing the vehicle environment to self-regulate based on real-time thermal data.
Solution Approach 2:
The system implements continuous feedback loops where thermal imaging cameras monitor window surfaces, detect condensation conditions, and feed this information back to the HVAC control system. This closed-loop feedback enables automatic adjustments to maintain optimal visibility and comfort conditions without requiring driver observation or manual control.
2Measurement precision
If humidity sensors are used to detect condensation conditions, then condensation detection is enabled, but installation and maintenance costs increase and comprehensive fog and frost detection is limited
Solution Approach 1:
The system replaces mechanical humidity sensors with optical thermal imaging cameras that detect condensation, fog, and frost through infrared radiation patterns. This substitution eliminates the need for physical sensor installation on window surfaces while providing comprehensive detection across all windows simultaneously through non-contact thermal imaging.
Solution Approach 2:
The thermal imaging camera system performs multiple detection functions simultaneously - identifying condensation on interior surfaces, detecting fog on exterior surfaces, and recognizing frost conditions - all through a single imaging device. This multi-functional approach replaces what would otherwise require multiple specialized sensors with different installation and maintenance requirements.
3Device complexity
If one-size-fits-all climate control is used, then system simplicity is maintained, but diverse thermal comfort needs of individual passengers are not met
Solution Approach 1:
The system applies local quality by using thermal imaging to detect specific condensation conditions on individual windows and directing HVAC airflow and heating elements to targeted locations. Rather than uniformly adjusting the entire cabin environment, the system locally addresses condensation on specific windows based on thermal imaging data, optimizing visibility where needed while maintaining energy efficiency.
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
Enhances passenger comfort and safety by providing targeted climate control, reducing the need for manual driver intervention and improving fog and frost detection efficiency, while integrating health considerations for ride-sharing services.
Implementation Method 1
the system instructs one or more thermal imaging cameras to capture one or more thermal images of one or more windows of a vehicle and determines, based on the one or more thermal images, whether at least one of the windows is experiencing condensation conditions
Data Source
AI summary
Methods and systems are disclosed herein for adaptive climate control based on thermal imaging, standard imaging, and/or physiological states of a user. A system instructs one or more thermal imaging cameras to capture thermal images and standard images of windows of a vehicle and determines, based on the thermal images and standard images, whether at least one of the windows is experiencing condensation conditions. Based on determining that one of the windows is experiencing the condensation conditions, the system identifies a climate control adjustment to ameliorate the condensation conditions of the window and causes a system of the vehicle to perform the climate control adjustment. Methods and systems are also disclosed for intelligent scheduling and temperature adjustment. After being informed of a user's scheduled bath time, a server proactively adjusts a water heater to ensure an ample hot water supply to fill a tub at a user's preferred temperature.