Vehicular Air Conditioner Particulate Sensor Dynamic Averaging
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Solution Overview
Problem
Conventional vehicular air conditioners using moving-average methods to detect particulate concentration in vehicle interiors experience delayed responses to sudden changes, leading to discrepancies between displayed and actual concentrations, causing user discomfort.
Innovation Solution
A vehicular air conditioner with a particulate sensor and a calculation section that adjusts the moving-average time period based on current particulate concentration thresholds, shortening the period when concentrations exceed a predetermined threshold to reflect real-time changes more accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a moving-average time period is used to calculate particulate concentration, then the calculation results are stable and averaged, but the response to abrupt changes in particulate concentration is delayed
Solution Approach 1:
The patent applies the dynamics principle by making the moving-average time period variable rather than fixed. The calculation section dynamically adjusts the time period based on the current particulate concentration level: using a first (longer) time period when concentration is at or below a threshold to maintain stability, and switching to a second (shorter) time period when concentration exceeds the threshold to improve response speed. This dynamic adjustment resolves the contradiction between stability and response speed.
2Device complexity
If a fixed moving-average time period is used, then the calculation is simple, but the displayed particulate concentration falls out of synchronization with actual concentration
Solution Approach 1:
The patent implements dynamics by adjusting the moving-average time period based on real-time particulate concentration levels. When the concentration exceeds a predetermined threshold, the system switches to a shorter time period to capture rapid changes, thereby improving measurement precision without significantly increasing calculation complexity.
Solution Approach 2:
The patent applies parameter changes by modifying the moving-average time period parameter according to the particulate concentration level. The calculation section changes this parameter dynamically: using a first time period for normal conditions and a second (shorter) time period when concentration exceeds the threshold, thus adapting the measurement precision to actual environmental conditions.
3Speed
If the moving-average time period is shortened to improve response, then the current particulate concentration is better reflected, but the averaging effect is reduced
Solution Approach 1:
The patent resolves this contradiction through dynamic adjustment of the moving-average time period. The system uses a longer first time period when particulate concentration is at or below the threshold to maintain a strong averaging effect and stability. When concentration exceeds the threshold, it switches to a shorter second time period to improve response speed while still providing some averaging effect. This conditional dynamic adjustment optimizes both response speed and averaging effect based on actual conditions.
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
This configuration allows for closer detection of actual particulate concentrations, reducing user discomfort by providing more accurate and timely updates on particulate levels within the vehicle.
Implementation Method 1
a particulate sensor (70) that detects a particulate concentration in the air flowing through the air conditioning duct
Data Source
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AI summary
A vehicular air conditioner (1) includes: a particulate sensor (70) that detects a particulate concentration in air flowing through an air conditioning duct (10); and a calculation section (80) that calculates an average value of the particulate concentration by averaging the particulate concentrations detected by the particulate sensor over a moving-average time period. When the current particulate concentration detected by the particulate sensor is higher than a predetermined threshold concentration, the calculation section makes the moving-average time period shorter than the moving-average time period used when the current particulate concentration is equal to or lower than the threshold concentration.