Fine Particulate Sensor Correction for Vehicle Air Quality
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Solution Overview
Problem
Existing fine particulate sensors in motor vehicles face challenges in accurately measuring particulate concentrations due to variations in environmental and operational conditions, such as temperature, humidity, and occupant activities like smoking, which can lead to incorrect or misleading readings.
Innovation Solution
A method and device that adjust detected fine particulate measurement values using a correction factor based on state parameters like air conditioning system operation, window and door states, smoking detection, and GPS location, ensuring only relevant particulate loading data is displayed to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fine particulate measurement values are detected using a sensor, then real-time fine particulate concentration data is obtained, but the measurement precision deteriorates due to variations in environmental conditions (temperature, humidity, vibration) and operating conditions (air conditioning system, recirculated air, open windows)
Solution Approach 1:
The system continuously monitors state parameters (air conditioning operation, window/door states, smoking detection) and uses this feedback to dynamically adjust correction factors applied to sensor measurements, compensating for environmental and operational variations in real-time
Solution Approach 2:
The system changes the measurement parameters by applying correction factors to the raw sensor data based on detected state parameters, transforming the measurement values to account for different environmental and operational conditions
2Loss of information
If fine particulate measurement values are used to inform occupants, then awareness of particulate concentration is provided, but harmful information is generated when occupants are notified of particulates caused by their own actions (e.g., smoking)
Solution Approach 1:
The system extracts and identifies the source of fine particulates by detecting state parameters such as smoking activities, then separates internally-generated particulates from externally-originated ones, displaying only relevant external sources to occupants
Solution Approach 2:
The system introduces an intermediary analysis layer that detects state parameters and applies correction factors to distinguish between internal and external particulate sources before presenting information to the user
Data Source
AI summary
A motor vehicle monitoring system displays air quality data comprised of a particulate matter concentration to a vehicle occupant. Fine particulate measurement values are collected from a sensor. At least one state parameter of the motor vehicle is detected, wherein the state parameter is indicative of a temporary disturbance of a concentration of the fine particulates exposed to the sensor. The fine particulate measurement values may be updated according to a correction factor as a function of the detected state parameter. The state parameter may include an air temperature, an air humidity, a current geographic position of the motor vehicle, an opened or closed state of a vehicle door, an opened or closed state of a vehicle window, an operating state of a blower fan of an air conditioning system, and a determination whether smoking is currently taking place in the motor vehicle.