Measuring Open Water Movement TRIZ Cases

Sensors and actuators vary wingtip anhedral to avoid wave or ground strikes while preserving low-drag ground-effect flight.

Echo-sounder feedback and LQR hover control keep a coastal profiler at fixed seabed altitude, improving depth tracking and stationary sampling.

DGPS/RTK GPS and ADCP data replace tape or tagline station spacing, improving river discharge measurement accuracy and site flexibility.

Combining optical draft-mark imaging with GNSS elevation data enables accurate near-real-time vessel draft measurement during loading and unloading.

Wavelet-space assimilation preserves small-scale sea surface temperature observations without superobservations, improving forecast updates and accuracy.

Laser-based 3D water surface sensing improves river flood prediction by measuring water level and flow speed without gauge placement or light interference.

Segmented helical radar sampling cuts sea wave profiling complexity, enabling real-time surface reconstruction with fewer operations.

Variometric differential positioning and high-pass filtering improve GNSS buoy wave spectrum accuracy in complex seas without correction services.

A flexible tether with distributed OSIs senses drag, tension, and deformation to estimate underwater vehicle position and fluid-current behavior.

Preloaded and cached tide data helps coastal interfaces show location-specific details with fewer keystrokes, reducing user time and power use.

High-resolution satellite imagery and NIR reflectance thresholds classify perennial, intermittent, and ephemeral river reaches despite limited field access.

Onboard GNSS processing derives high-precision wave data from phase, range, and Doppler observations, reducing far-sea communication costs.

Laser-projected virtual control points enable automatic image matching on featureless water, resolving the lack of fixed reference markers.

Replacing mechanical formulas with a neural network trained on wave data improves drift path prediction accuracy while maintaining computational efficiency.

Segment mapping into stages using extracted elevation and gauge data to resolve the trade-off between prediction accuracy and computational complexity.

Determines coastal erosion retreat positions by adjusting conventional rates for extreme storm waves and sea level rise.

A subsurface acoustic sensor system measures directional and non-directional fluid wave properties using hybrid processing of along-beam velocities.

A wave measuring device uses fixed-point arithmetic to transform relative IMU orientation into absolute units for remote data collection.

Spaced sensor contacts in an elongated housing complete a circuit when submerged, triggering an audible alarm to warn campers of sudden flash floods.

Correlating vessel motion time profiles determines sea state variables without radar signal degradation in adverse weather.

A positioning data filtering unit applies local linear regression to ultrasonic measurements for accurate stream depth detection.

Pre-calculated hydrodynamic models provide real-time current visualization on fishing maps without increasing device processing complexity.

A watercraft determines sea state variables using center of gravity movement data from onboard sensors.

Four GNSS modules on a drifting buoy use attitude data to correct 3D coordinates, enabling high-precision flow velocity and sea surface elevation calculation.