In-Vehicle Air Quality Control via Sensor Data
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Solution Overview
Problem
Current automatic air control systems in vehicles are temperature-aware but not air-quality aware, leading to inaccurate manual control of ventilation modes, which can introduce more air pollutants and expose drivers to poor air quality for extended periods.
Innovation Solution
An intelligent in-vehicle air-quality control mechanism that utilizes sensor data to determine the vehicle's usage status and changing air-quality trends, adjusting controls based on a control policy to improve air quality, including acquiring sensor data, determining usage status, and signaling control systems to optimize ventilation and air-conditioning settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control of ventilation modes is used, then drivers can control air circulation, but inaccurate control introduces more air pollutants and exposes drivers to poor air quality
Solution Approach 1:
The air quality control system performs self-service by automatically monitoring air quality parameters (PM2.5, CO, CO2, TVOC concentrations) and adjusting ventilation modes without requiring manual driver intervention. The system independently determines when to switch between fresh air mode, recirculating air mode, and purification mode based on real-time sensor data, eliminating the inaccuracies of manual control while maintaining ease of operation through automated decision-making
Solution Approach 2:
The system implements continuous feedback by monitoring air quality sensors and using the detected pollutant concentrations to dynamically adjust ventilation strategies. When pollutants exceed thresholds, the system automatically switches modes and provides feedback to the driver through UI notifications, creating a closed-loop control system that responds to actual air quality conditions rather than relying on manual estimation
2Measurement precision
If automated air quality control is implemented, then air quality monitoring accuracy improves, but system complexity increases
Solution Approach 1:
The control system achieves multi-functionality by integrating multiple air quality sensing capabilities (PM2.5, CO, CO2, TVOC detection) into a single unified platform that handles both monitoring and control functions. This universal system replaces what would otherwise require separate manual monitoring and control mechanisms, improving measurement precision while managing complexity through functional integration rather than proliferation of separate components
Solution Approach 2:
The system manages complexity by focusing control actions on specific parameter changes rather than comprehensive system reconfiguration. It monitors four key air quality parameters and adjusts ventilation modes based on which parameter exceeds thresholds, using predefined control policies that change system state based on parameter conditions. This approach enables accurate measurement without requiring complex real-time optimization algorithms
3Device complexity
If ventilation mode switching is delayed, then system response is simpler, but drivers remain exposed to poor air quality for extended periods
Solution Approach 1:
The system implements preliminary action by continuously monitoring air quality parameters and preparing to switch modes before pollutant levels become hazardous. When sensors detect that PM2.5, CO, CO2, or TVOC concentrations are approaching problematic thresholds, the system proactively switches ventilation modes to prevent poor air quality development, rather than waiting for conditions to deteriorate and then responding
Solution Approach 2:
The control system dynamically adjusts ventilation modes based on real-time air quality conditions rather than following a fixed schedule or requiring complex predictive algorithms. The system transitions between fresh air mode, recirculating air mode, and purification mode according to current sensor readings, enabling rapid response to changing conditions while maintaining operational simplicity through rule-based dynamic control
Data Source
AI summary
A mechanism is provided for controlling the internal air-quality of a vehicle, including configuring a control policy that controls an internal air-quality of a vehicle and performing an action dictated by the control policy according to a window status of the vehicle.