Optical Flow Measurement Device Noise Reduction via Frequency Spectrum Analysis
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Solution Overview
Problem
Existing measurement devices for fluid flow state, such as blood flowmeters, face challenges in achieving high accuracy due to noise components from external environments, which affect the measurement of flow rate and velocity.
Innovation Solution
A measurement device comprising a light emitter, a light receiver, and a computation processor that generates frequency spectra from coherent light scattered by a fluid, allowing for the calculation of a usable frequency range by comparing different flow states, thereby reducing noise components and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical measurement is used to measure flow rate and flow velocity, then measurement capability is provided, but noise components from external environments degrade measurement precision
Solution Approach 1:
The patent extracts and removes noise components from the frequency spectrum through spectral analysis. The computation processor identifies and eliminates frequency components that correspond to noise rather than actual flow signals, thereby separating the useful measurement information from harmful environmental noise.
Solution Approach 2:
The patent introduces frequency spectrum analysis as an intermediary processing step between the optical measurement and the final flow rate calculation. This intermediary layer filters and processes the raw signal, converting it into a cleaned-up frequency spectrum that accurately represents flow characteristics without environmental interference.
2Measurement precision
If frequency spectrum analysis is performed to improve measurement accuracy, then noise reduction is achieved, but device complexity increases
Solution Approach 1:
The patent creates a digital copy of the frequency spectrum through computational analysis. Instead of physically modifying the optical path or adding complex hardware filters, the system generates a frequency spectrum representation and processes this digital copy to remove noise, thereby achieving measurement improvement without proportionally increasing physical device complexity.
3Adaptability or versatility
If the measurement device operates in environments with low reflectance, then versatility is improved, but signal strength decreases
Solution Approach 1:
The patent changes the parameter of analysis from direct light intensity measurement to frequency spectrum analysis. By transforming the signal into the frequency domain, the system can detect flow-related frequency patterns even when the overall light intensity is weak, thereby maintaining measurement capability in low-reflectance environments.
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 device enhances measurement accuracy by isolating the usable frequency range, reducing errors in flow rate calculations and improving the measurement of fluid flow states, even in environments with low reflectance.
Implementation Method 1
The light receiver receives coherent light including light scattered by the irradiation target
Implementation Method 2
generates a frequency spectrum for a temporal change in a signal strength of the signal output from the light receiver
Data Source
AI summary
A measurement device includes a light emitter, a light receiver, and a computation processor. The light emitter irradiates, with light, a fluid of an irradiation target. The light receiver receives coherent light scattered by the irradiation target and outputs a signal corresponding to an intensity of the coherent light. The computation processor generates a frequency spectrum for a temporal change in a signal strength and calculates, based on the frequency spectrum, a calculation value for a flow state of the fluid flowing in the irradiation target. The computation processor generates a first frequency spectrum with the fluid in a first flow state, generates a second frequency spectrum with the fluid in a second flow state in which the fluid has a flow rate lower than in the first flow state, and calculates a usable frequency range based on a comparison between the first frequency spectrum and the second frequency spectrum.