Dust Sensor Region-Adaptive Concentration Calculation
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Solution Overview
Problem
Conventional dust sensors inaccurately measure dust concentration due to insufficient consideration of regional dust particle density variations, leading to inconsistent results across different areas.
Innovation Solution
A dust sensor that includes a sensor module for receiving scattered light, a communication module for obtaining region-specific particle density data, and a control unit for calculating dust concentration using region-specific data, improving measurement accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed basic density value is applied in dust concentration calculation, then the device complexity is reduced, but the measurement precision deteriorates due to regional dust particle density variations
Solution Approach 1:
The dust sensor dynamically adapts to regional variations by automatically obtaining location information and selecting appropriate particle density values from a pre-stored database, rather than using a fixed basic density value. This dynamic adjustment resolves the contradiction by maintaining simple device structure while achieving region-specific measurement precision.
Solution Approach 2:
The invention changes the density parameter based on geographic location by storing multiple particle density values corresponding to different regions and selecting the appropriate value automatically. This parameter adaptation allows the sensor to maintain high measurement precision across different regions without increasing device complexity.
2Measurement precision
If region-specific particle density data is obtained and applied, then the measurement precision is improved, but the device complexity increases due to additional communication and data storage requirements
Solution Approach 1:
The dust sensor integrates multiple functions into a single device: dust particle detection, location information acquisition, and automatic density value selection. This multi-functionality approach improves measurement precision while minimizing device complexity by combining necessary components rather than adding separate systems.
Solution Approach 2:
The dust sensor automatically performs location identification and selects the appropriate particle density value without requiring manual calibration or user input. This self-service capability improves measurement precision while keeping the device simple by eliminating the need for complex calibration procedures or user interfaces.
3Measurement precision
If manual calibration is required for each region, then the measurement precision can be improved, but the ease of operation deteriorates
Solution Approach 1:
The dust sensor automatically identifies its geographic location and selects the appropriate particle density value from its internal database without requiring manual calibration by users. This self-calibration capability maintains high measurement precision while dramatically improving ease of operation by eliminating complex manual procedures.
Solution Approach 2:
Particle density values for different regions are pre-stored in the dust sensor's database during manufacturing. This preliminary preparation allows the sensor to automatically select the correct density value based on location information, eliminating the need for field calibration and simplifying operation while maintaining precision.
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 solution enhances the accuracy and reliability of dust concentration measurements by accounting for regional dust characteristics, ensuring that the measured values closely reflect actual conditions and adapt to different installation locations without manual calibration.
Implementation Method 1
a sensor module for receiving light scattered by dust particles and outputting an electric signal
Data Source
AI summary
The present invention provides a dust sensor comprising: a sensor module for receiving light scattered by dust particles and outputting an electric signal; a communication module for communicating with an external device; a memory for storing region information in association with particle density data; and a control unit for calculating a volume of the dust particles based on the signal output from the sensor module, obtaining the region information for a location where the dust sensor is installed via the communication module, retrieving the particle density data corresponding the obtained region information from the memory, calculating dust concentration using the retrieved particle density data and the calculated volume, and outputting the calculated dust concentration. The memory may store the region information in association with air quality reference data.