Fluid Speed Measurement TRIZ Cases

An EMR source and radiation-absorbing surface heat pitot tube walls, preventing ice buildup while supporting continuous flow measurement.

Distributed ground sensors and Weibull wind modeling help predict local low-altitude gust variability for safer UAV mission approval.

Feedforward and feedback wind compensation uses steady wind and groundspeed data to improve low-speed aircraft maneuver precision and control.

Temporal partitioning and weighted vector reconstruction cut wind speed estimation error below 1% even in strong atmospheric turbulence.

A single-die steerable ultrasonic array measures fluid velocity across multiple axes through time-of-flight paths, cutting flow meter size and cost.

Dual-polarization coherent mixing replaces bulky CCD detection to improve Doppler shift precision and suppress common-mode noise.

A transducer maps flow across depths to find near-zero vertical speed, improving horizontal vessel-speed accuracy despite wake disturbances.

Crosswinds, prop wash, rotation, and heat can compromise pitot tube covers; this case uses air resistance and heat-resistant materials for automatic release.

A demultiplexer and separation devices isolate transmission from reception, improving LiDAR SNR and distance and speed accuracy.

A laser radar speed calculator selects a calculation method based on signal to noise ratio.

Pinwheel sensors convert wind energy into vibrations for distributed fiber optic detection, resolving point measurement inaccuracies along utility cables.

Integrating pressure and temperature sensors inside the magnetic inductive flow probe housing eliminates pipeline openings that create leak risks.

Electronic feedback compensates for mechanical imbalance in torsion balance sensors, eliminating costly manual balancing steps.

Wedge prisms compensate for optical axis angular shifts to sustain high-speed wind measurement.

A spherical multi-directional fluid velocity measurement device uses three-dimensional Pitot tubes to detect dynamic pressure.

Aircraft speed measurement using laser Doppler anemometry acquires backscattered signals on multiple non-coplanar axes to calculate candidate velocity vectors.

Estimating transverse air velocity via single-beam signal analysis eliminates multiple telescopes, reducing Doppler LiDAR complexity and cost.

A fine channel flowmeter uses electrode groups to measure fluid flow via electrical conduction.

Time-multiplexes reference and backscattered optical signals through a common path to unify measurement conditions.

A lidar wiper controller adjusts cleaning operations based on precipitation detection to conserve washer fluid.

A bi-axis laser anemometry probe splits a laser beam into two signals for separate amplification and detection paths.

A gas velocity sensor uses a Fabry-Perot interferometer and spatial filter to detect Doppler shifts in backscattered light.

Speckle pattern correlation analysis measures fluid flow in planes normal to the imaging beam, overcoming Doppler frequency shift limitations.

A combined device merges a Pitot tube with a stagnation point probe to validate total pressure readings through redundant measurement.

A Doppler lidar system determines target speed direction through spectral amplitude comparison.

Asymmetric ice prevention dam uses planar head surfaces to resolve manufacturing positioning accuracy issues while preventing ice buildup in pitot tubes.

A multi-sensor mass flow meter uses spaced detectors to track thermal marks and calculate fluid velocity with high precision.

A radar-based tidal current estimator calculates wave-crest velocity vectors to map surface flow distributions rapidly.

Replacing bulky mechanical lasers with fiber optics enables simultaneous multi-axis velocity measurements without moving parts or nonlinear scattering.

A miniature fluid flow velocity sensor uses a longitudinal pressure-sensitive diaphragm to measure differential pressure between sealed and open cavities.

Hydrophobic fabric in a pitot tube blocks water ingress, preventing sensor flooding and ensuring accurate airspeed measurements.

Broadband and narrowband signal segmentation resolves velocity ambiguity in Doppler measurements, improving accuracy.

A LIDAR system splits a single laser beam into multiple directions to measure wind speed and direction simultaneously.

A wind measurement lidar subtracts stored noise signals from received signals to correct frequency differences.

Compute streamline trajectories from finite difference simulation results to analyze fluid flow patterns without requiring separate streamline simulation.

Aircraft pitot probe uses two separate heating wires with independent power distribution to manage thermal requirements.

Repeated transmission of ultrasonic waves allows calculation of average propagation time, reducing errors from reception timing detection.

Heat-resistant suspension structures enable automatic separation of a pitot tube cover, preventing contamination while ensuring accurate airspeed readings.

Multi-directional laser beams generate beat frequencies from backscatter light to determine vehicle speed despite varying atmospheric particle densities.

Wind velocity searching unit determines Doppler frequency search center using a selected wind velocity model to reduce noise detection errors.

A rotary anemometer uses a swing arm to generate torque and indicate wind speed along the support strut.

A laser velocimeter focuses a beam below the flow surface to capture backreflections from internal scatterers.

Aircraft acoustic velocimeter uses dynamic wave generators and receivers to measure indicated airspeed in real time.

Multi-beam LIDAR module determines air data parameters by detecting backscattered light, resolving accuracy limits of conventional Pitot-static systems.

A LiDAR sensor determines wind velocity components by calculating temporal offsets between measurement points and a perpendicular projection line.

A motion-stabilised lidar system isolates probe movements from platform vibrations to maintain a constant measurement volume.

Laser and photodetector arrays calculate droplet velocity through microfluidic channels without expensive high-speed cameras.

A laser radar device calculates wind velocity using Doppler frequency analysis and an artificial intelligence learning algorithm unit.