Structured Laser Beam for 3D Particle Positioning
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Solution Overview
Problem
Aerosol and hydrosol particle detection systems typically fail to determine the exact location of individual particles within the detection sample volume, leading to systematic measurement errors, increased energy consumption, and system complexity.
Innovation Solution
A structured laser beam (SLB) is projected into the path of an aerosol stream, allowing for simultaneous measurement of particle velocity and position in three dimensions by decoding the unique temporal waveform generated as the particle scatters light onto a photo-detector, using a single laser source and a masking element to create a spatial pattern of varying intensity or polarization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional particle detection systems are used, then particle detection is achieved, but exact particle location cannot be determined leading to systematic measurement errors
Solution Approach 1:
The detection system segments the particle detection process into distinct measurement stages: first detecting particle presence in the interaction volume, then determining exact particle location through coordinated beam scanning or multi-detector arrays. This segmentation allows each subsystem to optimize for its specific function while achieving overall high precision localization.
Solution Approach 2:
The patent introduces spatial dimensionality to particle detection by using multiple detection beams or detectors positioned at different locations. By measuring particle signals from multiple dimensional perspectives simultaneously, the system can triangulate and determine the exact three-dimensional position of particles within the interaction volume, transforming a one-dimensional detection problem into a multi-dimensional localization solution.
2Measurement precision
If multiple detectors and complex illumination systems are used to determine particle position, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent employs a single detection beam that serves multiple functions: it detects particle presence, measures particle position through position-sensitive detection, and characterizes particle properties. This multi-functional approach eliminates the need for separate illumination and detection systems, reducing device complexity while maintaining high measurement precision through sophisticated signal processing of the universal detection beam.
Solution Approach 2:
The patent replaces complex mechanical positioning systems with optical field-based detection methods. Instead of physically moving multiple detectors to map particle positions, the system uses the spatial distribution of light fields and position-sensitive photodetectors to optically encode position information, which is then decoded through signal processing. This substitution of mechanical complexity with optical intelligence reduces moving parts and system complexity.
3Productivity
If traditional particle detection methods are used, then basic particle detection is achieved, but real-time trajectory information is not provided
Solution Approach 1:
The patent implements continuous particle trajectory tracking by maintaining a sustained detection beam that continuously monitors particles as they traverse the interaction volume. The position-sensitive detection system operates continuously, generating real-time position data streams that capture complete particle trajectories without interruption or time gaps, enabling real-time analysis of particle motion and dynamics.
Solution Approach 2:
The patent uses periodic scanning of detection beams or periodic activation of position-sensitive detectors to systematically sample particle positions at regular time intervals. This periodic measurement approach provides time-resolved trajectory information, allowing reconstruction of particle paths and velocity measurements while maintaining efficient system operation through rhythmic, synchronized detection cycles.
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 method provides high-fidelity, real-time trajectory information, reducing measurement errors, energy consumption, and system complexity while enabling accurate particle localization and classification.
Implementation Method 1
a light source to generate an illuminating beam to travel in a first dimension, and to produce an illumination pattern in first, second, and third dimensions
Implementation Method 2
As a particle traverses the SLB it may elastically scatter light onto a photo-detector, which, in turn, provides data to a processor
Data Source
AI summary
Particle detection systems without knowledge of a location and velocity of a particle passing through a volume of space, are less efficient than if knowledge of the particle location is known. An embodiment of a particle position detection system capable of determining an exact location of a particle in a fluid stream is discussed. The detection system may employ a patterned illuminating beam, such that once a particle passes through the various portions of the patterned illuminating beam, a light scattering is produced. The light scattering defines a temporal profile that contains measurement information indicative of an exact particle location. However, knowledge of the exact particle location has several advantages. These advantages include correction of systematic particle measurement errors due to variability of the particle position within the sample volume, targeting of particles based on position, capture of particles based on position, reduced system energy consumption and reduced system complexity.