Vehicle Air Quality Monitoring and Automatic Response System
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Solution Overview
Problem
Existing vehicle infotainment systems lack integration of remote resources that could enhance the driving experience, particularly in addressing air quality issues, leading to potential driver distraction and discomfort due to inadequate real-time air quality information.
Innovation Solution
A computer-implemented method that connects to a remote system to request and compare air quality data against predetermined thresholds, triggering automatic vehicle responses such as route adjustments or system activations to minimize exposure to poor air quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time air quality monitoring and automatic vehicle response systems are integrated, then driver comfort and safety are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple previously separate functions into a unified vehicle computing system: air quality data acquisition from remote sources, real-time data processing, threshold comparison, and automatic control of vehicle systems (HVAC, routing, alerts) are merged into a single integrated platform. This integration improves reliability by ensuring coordinated responses while managing complexity through centralized architecture.
Solution Approach 2:
The vehicle computing system is designed to perform multiple functions: it monitors air quality data, processes routing information, controls HVAC systems, generates driver alerts, and interfaces with navigation systems. This multi-functionality approach improves overall system reliability by providing comprehensive air quality management while leveraging shared hardware and software resources to manage complexity.
2Object-affected harmful factors
If automatic vehicle responses are activated based on air quality data, then exposure to pollutants is minimized, but driver distraction may increase
Solution Approach 1:
The system automatically monitors air quality data, compares it against thresholds, and activates appropriate vehicle responses without requiring continuous driver intervention. The computing system serves itself by autonomously processing data and controlling vehicle systems, thereby minimizing pollutant exposure while reducing driver distraction through automation rather than manual operation.
Solution Approach 2:
The system continuously monitors air quality data and provides real-time feedback to the driver through appropriate channels (HVAC adjustments, routing changes, or alerts). This feedback mechanism ensures drivers are informed of air quality conditions and system responses without requiring constant attention, as the system processes information and executes responses automatically based on predefined thresholds.
3Measurement precision
If comprehensive air quality data processing is implemented, then response accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-establishes threshold levels for air quality parameters before actual monitoring begins. By having comparison criteria ready in advance, the system can quickly assess incoming real-time data against these pre-set thresholds without requiring complex real-time analysis, thereby improving response accuracy while minimizing processing time delays.
Data Source
AI summary
A computer-implemented method includes connecting to a remote system and requesting data relating to a quality of air level in the vicinity of a known vehicle location. The method further includes receiving data relating to the quality of air level and comparing the data to one or more predetermined threshold levels of tolerance. If the data exceeds at least one threshold level of tolerance an automatic vehicle computing system response is instructed. In this example, the method also includes activating one or more vehicle systems in response to the data exceeding the at least one threshold level of tolerance.