Optical Particle Sensor Error Correction via Multi-Beam Segmentation
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Solution Overview
Problem
Existing optical particle sensors face challenges in providing reliable measurements due to intrinsic and extrinsic errors, such as component failures and environmental disturbances, which affect the accuracy of particle load quantification, especially in mobile applications.
Innovation Solution
The optical particle sensor device emits multiple measurement laser beams and uses a detector and evaluation device to generate multiple estimated particle values based on different subsets of measurement signals, allowing for error detection and correction by comparing these values and considering status information about the emitter and detector components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple measurement laser beams are used to improve measurement reliability, then the accuracy of particle load measurements is improved, but the device complexity increases
Solution Approach 1:
The measurement system is segmented into multiple independent measurement laser beams (at least two beams) that operate in parallel. Each beam provides an independent measurement channel, allowing the system to segment the measurement task across multiple sources. This segmentation enables error detection through comparison of results from different beams while maintaining modular device architecture.
Solution Approach 2:
The system implements feedback by comparing measurement results from multiple laser beams and using status information from emitter and detector components to identify and correct errors. The evaluation device receives feedback from component status indicators and adjusts measurements accordingly, creating a closed-loop system that continuously monitors and corrects for errors in real-time.
2Measurement precision
If multiple estimated particle values are determined and compared to detect errors, then the measurement accuracy is improved, but the loss of time increases due to processing multiple values
Solution Approach 1:
The system performs preliminary actions by continuously monitoring component status information (such as temperature, power levels, and operational state of emitters and detectors) before final measurement evaluation. This preliminary monitoring allows the system to preemptively identify potential error sources and adjust measurements before errors affect the final result, reducing the need for extensive post-processing of multiple estimated values.
Solution Approach 2:
The system uses feedback mechanisms to quickly compare measurement results from multiple laser beams and component status information, enabling rapid error detection and correction. The feedback loop processes multiple estimated particle values efficiently by using predetermined comparison criteria and status thresholds to quickly identify outliers or erroneous measurements without requiring exhaustive analysis of all possible combinations.
3Reliability
If status information of emitter and detector components is considered to correct errors, then the reliability of particle load quantification is improved, but the device complexity increases
Solution Approach 1:
The status information monitoring system serves multiple functions: it monitors component health, detects potential errors, provides feedback for measurement correction, and can trigger maintenance alerts. This multi-functional approach allows a single status monitoring subsystem to perform various reliability-enhancing tasks without requiring separate dedicated systems for each function, thereby reducing overall device complexity while improving reliability.
Solution Approach 2:
The system performs self-service by automatically monitoring its own component status and using this information to correct measurement errors without external intervention. The emitter and detector components provide their own status information (such as operational state, temperature, power levels), and the evaluation device autonomously uses this self-reported data to identify and correct errors in particle load quantification, eliminating the need for external calibration or manual error correction systems.
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 approach enhances the accuracy of particle load measurements by identifying and correcting errors, making the sensor more reliable for mobile use and enabling effective countermeasures against environmental disturbances.
Implementation Method 1
optical emitter device (2), which is designed to emit a multitude N of measurement laser beams (L1, L2, L3) into a vicinity of the optical particle sensor device (1)
Implementation Method 2
detector device (3), which is designed to detect the measurement laser beams (L1, L2, L3) scattered on particles in the vicinity of the optical particle sensor device (1)
Data Source
AI summary
An optical particle sensor device comprises an optical emitter device for emitting a multitude of measurement laser beams; a detector device for detecting the measurement laser beams scattered on particles in the vicinity of the optical particle sensor device and for generating a single measuring signal assigned to this for each measurement laser beam; and an evaluation device for determining at least one estimated particle value for the number of particles per volume using at least one single measurement signal, wherein the evaluation device determines at least two estimated particle values for the number of particles per volume, which are based on at least partially different single measurement signals and/or a different number of single measurement signals, and on the basis of at least part of the estimated particle values, determines at least one output value for the particle load.