In-Car Air Quality Notification With Intelligent Fresh-Air Control
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Solution Overview
Problem
The increasing air pollution poses a threat to human health, particularly within enclosed spaces like cars, with pollutants such as PM2.5, CO2, VOCs, and bacteria, which can lead to respiratory issues and cardiovascular diseases, and existing systems fail to provide real-time detection and purification solutions.
Innovation Solution
An in-car air pollution detection system with in-car and out-car gas detection modules, an air conditioner, and filtering and purification components, utilizing artificial intelligence to monitor and control air quality, filtering pollutants, and intelligently deciding whether to introduce external air based on detection data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If real-time air quality detection and purification system is implemented in cars, then air safety and health protection are improved, but device complexity and cost increase
Solution Approach 1:
The air pollution detection and purification system is divided into separate functional modules: detection modules for different pollutants (PM2.5, CO2, formaldehyde, VOCs, bacteria, fungi), purification modules (HEPA filters, activated carbon filters, photocatalytic modules), and control modules. This segmentation allows each component to specialize in specific functions, improving overall system effectiveness while enabling modular installation that can adapt to different car models and budgets.
Solution Approach 2:
The air conditioner system is designed to perform multiple functions: traditional climate control, air purification, and pollution detection. By integrating these functions into a single system, the patent reduces the need for separate dedicated devices, thereby managing complexity while providing comprehensive air quality protection.
2Measurement precision
If multiple detection modules for different pollutants are installed, then detection precision and coverage are improved, but device complexity and space occupation increase
Solution Approach 1:
Multiple detection modules for different pollutants (PM2.5, CO2, formaldehyde, VOCs, bacteria, fungi) are integrated into a unified detection system that shares common signal processing and control circuits. This merging approach maintains comprehensive detection capability while reducing overall system complexity and space requirements compared to completely separate detection systems.
Solution Approach 2:
The detection system is designed with multi-functional sensors and shared processing units that can detect multiple types of pollutants using a single integrated platform, reducing the number of separate devices needed while maintaining comprehensive detection coverage.
3Object-affected harmful factors
If continuous air purification is performed, then air quality and health safety are improved, but energy consumption increases
Solution Approach 1:
The air purification system operates periodically rather than continuously, with the control unit adjusting purification intensity and timing based on real-time air quality data from detection modules. The system intensifies purification when pollutant levels rise and reduces or pauses operation when air quality is good, thereby maintaining health safety while significantly reducing energy consumption.
Solution Approach 2:
The system incorporates feedback control where detection module data continuously monitors air quality and automatically adjusts purification module operation. This closed-loop control ensures purification resources are applied only when and where needed, optimizing the balance between air quality improvement and energy consumption.
4Extent of automation
If intelligent control based on AI algorithms is implemented, then automation and decision-making accuracy are improved, but computational requirements and processing time increase
Solution Approach 1:
The system pre-loads AI models and decision-making algorithms into the control unit during system initialization or vehicle startup. By preparing computational resources in advance, the system can quickly process real-time sensor data and make purification decisions without experiencing processing delays during critical air quality events.
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
The system provides real-time notification of air quality through audio and visual means, ensuring the air inside the car is purified and safe, thereby reducing health risks from pollutants.
Implementation Method 1
at least one in-car gas detection module for detecting an air pollution source in an interior space of a car
Implementation Method 2
a plurality of filtering and purification components disposed in the interior space of the car for filtering and purifying the air pollution source in the interior space of the car
Data Source
AI summary
A method of notifying in-car air pollution is disclosed and includes: a) providing an in-car air pollution detection system including at least one in-car gas detection module, at least one out-car gas detection module, an in-car air conditioner including an audio element and a display element, and a plurality of filtering and purification components disposed in the interior space of the car for filtering and purifying the air pollution source in the interior space of the car; b) notifying an initial value of the in-car gas detection datum; c) notifying a post-purification value of the in-car gas detection datum, wherein the post-purification value of the in-car gas detection datum is broadcasted by the audio element and/or displayed by the display element of the in-car air conditioner; and d) intelligently selecting an external gas to be introduced or not to be introduced into the interior space of the car.