Flow Velocity Detection Using Phase Change and Spatial Point Geometry
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Solution Overview
Problem
Existing flow velocity detection methods are limited by scanning modes that restrict detection to the phase change along a transmission direction, requiring manual adjustment of scanning angles or probe positions to obtain accurate flow velocity in any direction.
Innovation Solution
A method and system that automatically detect flow velocity in any direction by determining parameters related to phase changes and location relationships among detection, transmission, and receiving points, utilizing full aperture transmission and optic flow methods for improved accuracy and frame rate, with GPU parallel computing for enhanced computing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If phase change detection along transmission direction is used, then detection simplicity is improved, but flow velocity detection accuracy in any direction deteriorates
Solution Approach 1:
The patent transitions from one-dimensional phase change detection along the transmission direction to two-dimensional flow velocity detection by incorporating spatial location relationships among multiple detection points, transmission points, and receiving points. This dimensional expansion enables accurate flow velocity measurement in any direction without requiring manual adjustment of scanning angles.
Solution Approach 2:
The patent introduces an intermediary calculation process that uses the spatial location relationships between detection points, transmission points, and receiving points as a mediator to convert phase change data into accurate flow velocity measurements in arbitrary directions, resolving the limitation of direction-specific detection.
2Measurement precision
If manual adjustment of scanning angle or probe position is performed, then flow velocity detection accuracy is improved, but operation time increases
Solution Approach 1:
The system performs self-service by automatically calculating flow velocity in any direction using the spatial location relationships among detection points, transmission points, and receiving points. This eliminates the need for manual adjustment of scanning angles or probe positions, thereby reducing operation time while maintaining detection accuracy.
Solution Approach 2:
The patent changes the detection parameter from requiring manual geometric adjustment to using automated spatial coordinate calculations. By utilizing the location relationships among multiple points as calculation parameters, the system achieves accurate flow velocity measurement without time-consuming manual adjustments.
3Measurement precision
If multi-angle transmission mode is used, then flow velocity detection capability is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal detection framework where the spatial location relationship model can determine flow velocity in any direction using the same set of detection points, transmission points, and receiving points. This multi-functional approach eliminates the need for separate multi-angle transmission configurations, reducing system complexity while maintaining comprehensive flow velocity detection capability.
4Productivity
If full aperture transmission mode is used, then imaging efficiency is improved, but signal-to-noise ratio deteriorates
Solution Approach 1:
The patent applies local quality optimization by using unfocused wave transmission modes where transmission scanning signals are directed to the same focus position. This localized focusing approach improves signal-to-noise ratio in specific regions of interest while maintaining the high imaging efficiency of full aperture transmission mode through selective signal enhancement.
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 improves system utilization, data accuracy, and frame rate by detecting flow velocity perpendicular to the transmission direction, enhancing signal-to-noise ratio and time resolution, while reducing hardware and time costs.
Implementation Method 1
The image data of the target object may be obtained based on phase change of echo data of the target object at a same position at different time points
Data Source
AI summary
The embodiments of the present disclosure provide a method for a flow velocity detection. The method may include obtaining image data; determining, based on the image data, a parameter of at least one detection point, the parameter being related to a phase change; and determining a first flow velocity of the at least one detection point based on the parameter related to the phase change and a location relationship among the at least one detection point, at least one transmission point, and a plurality of receiving points.