Adaptable Beam Radar Flow Meter for Open Channel Velocity
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Solution Overview
Problem
Existing non-contact surface measurement techniques for open channel flow do not accurately represent the mean velocity of fluids due to varying velocities across the channel width and from surface to bottom, leading to potential errors in calculating cross-sectional average velocity, which is crucial for accurate volumetric flow measurement.
Innovation Solution
A multiplicity of surface velocity measurements are taken across the channel width using a radar-based sensor with adjustable beams, allowing for better estimation of cross-sectional average velocity by employing multiple beams that adapt to fluid level changes and channel geometry, enabling more accurate fluid flow measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single beam radar sensor is used for surface velocity measurement, then the device complexity is reduced, but the measurement precision of cross-sectional average velocity deteriorates
Solution Approach 1:
The patent divides the measurement task into multiple segments by using multiple beams (first beam and second beam) that target different portions of the fluid surface. Each beam measures velocity at a specific location, and these segmented measurements are combined to calculate the cross-sectional average velocity, thereby improving measurement precision while maintaining relatively simple device architecture
Solution Approach 2:
The patent transitions from single-point measurement to multi-point measurement by introducing multiple beams at different angles and positions. This dimensional expansion from one measurement point to multiple points across the channel cross-section enables more accurate representation of the average velocity without significantly complicating the radar sensor system
2Measurement precision
If multiple beams are used to measure velocity at different locations, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent makes the single radar sensor multi-functional by enabling it to transmit and receive multiple beams at different angles. The same sensor performs multiple measurement functions (measuring velocity at different locations) without requiring separate sensors for each position, thus improving measurement precision while minimizing the increase in device complexity
Solution Approach 2:
The patent introduces dynamic beam steering capability where the radar sensor can adjust beam directions and angles adaptively. This dynamic control allows the system to optimize measurement coverage across the channel cross-section using a single sensor, achieving multi-point measurement precision without the complexity of multiple fixed sensors
3Device complexity
If the beam characteristics are fixed, then the device complexity is reduced, but the adaptability to varying fluid levels and channel geometry deteriorates
Solution Approach 1:
The patent implements dynamic beam characteristics where the radar sensor can adjust beam width, angle, and direction in real-time based on detected fluid level and channel geometry. This dynamic adaptability allows the system to maintain measurement accuracy across varying conditions without requiring multiple specialized sensors for different scenarios
Solution Approach 2:
The patent incorporates feedback mechanisms where the radar sensor detects fluid surface characteristics and uses this information to dynamically adjust subsequent beam parameters. This closed-loop control enables the system to adapt to changing fluid levels and channel geometry automatically, improving versatility while keeping the device architecture relatively simple
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 provides a more accurate estimation of cross-sectional average velocity, reducing errors and improving the reliability of volumetric flow calculations by accounting for varying fluid conditions and channel characteristics.
Implementation Method 1
the Doppler frequency shift between the directed and reflected signals is used as a measure of the velocity of the fluid surface
Data Source
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AI summary
An embodiment provides a method for measuring a fluid parameter of fluid flowing in a channel including: transmitting, using a transmitter of a device, directed energy carrying a signal toward a surface of a fluid in a fluid channel, so as to produce one or more reflections from the fluid surface; detecting, by at least one receiver of the device, one or more received signals associated with the one or more reflections so produced; and determining, based upon a measurement beam comprising characteristics of the transmitted and received signals, a fluid parameter to be measured using a processor of the device: wherein, a measurement beam characteristic is adjusted based on a distance from the device to the fluid surface. Other embodiments are described and claimed.