5 results about "Acoustic Doppler current profiler" patented technology

The present application relates to the technical field of marine environment monitoring, in particular to a sediment transport intelligent monitoring system for offshore wind farms, comprising: a seabed base module, a sea level buoy module and an optical-electric composite cable connecting the two, the bottom of the buoy module is provided with a sensor cabin with built-in multiple sensors and counterweights, and the base and the buoy module are both equipped with acoustic Doppler current profiler, turbidity sensors and other detection components. The buoy module contains independent watertight compartments, photovoltaic power supply and control components, can identify the sediment transport state through eigenvector analysis and Mahalanobis distance clustering algorithm, intelligently switch three monitoring modes of normal, event triggering and decay tracking, and dynamically adjust the sampling frequency. The system realizes three-dimensional monitoring of the whole process of sediment "suspension-transportation-settlement" and real-time data transmission, solves the limitations of traditional seabed monitoring, takes into account the monitoring accuracy and energy efficiency, and provides reliable support for the safe operation and maintenance of wind farms.

The present application relates to the technical field of flow velocity prediction model construction, and particularly relates to a method for constructing a flow velocity prediction model based on a thermocline adaptive loss. The method comprises the following steps: in the process of shipborne sailing, low-frequency full-water-depth flow velocity background field data and medium-high-frequency target water layer high-resolution flow velocity data are obtained by using a multi-frequency acoustic Doppler current profiler, sound velocity profile data and unified space-time reference data are synchronously obtained, and a multi-source original observation data set is formed; sound velocity gradient data is calculated based on the sound velocity profile data, a thermocline interval is identified, and thermocline structure identification information is generated; under the constraint of the thermocline structure identification information, adaptive layered three-dimensional sound ray tracking calculation is performed on each wave beam measurement unit of the preset multi-frequency ADCP; by means of adaptive layered sound ray tracking and high-frequency detail reservation, the present application overcomes the measurement distortion caused by the dramatic change of sound velocity in the thermocline in the traditional method, and obtains a high-precision flow velocity field of the key water layer.

The application provides a 10-meter buoy current correction method based on an external GNSS, a medium and a system, and belongs to the technical field of current correction.The application is characterized in that a heading angle is used to replace a built-in magnetic compass heading in real time;then a heading correction amount and a current velocity vector correction amount of each depth layer are jointly optimized by an artificial intelligence multi-task joint estimation correction model, loss weights are dynamically adjusted in combination with a channel credibility evaluation function, and a weak sensor link in terms of credibility is isolated through a fault isolation algorithm based on the maximum flow and minimum cut theorem of a flow graph;finally, sea current profile data with a data quality grade identifier are output through direction consistency verification and a flow velocity direction consistency index adaptive adjustment. Thus, the technical problem that, when a buoy integrates an acoustic Doppler current profiler, magnetic interference causes heading angle distortion and further causes a serious deviation of a sea current profile flow direction, and existing means cannot continuously and reliably correct the heading angle in complex sea conditions is solved.

This invention belongs to the field of underwater sea state data monitoring technology, and discloses an underwater online intelligent monitoring and analysis system and method. The method utilizes an Acoustic Doppler Current Profiler (ADCP) mounted on a seabed observation system to measure seabed currents, obtaining the velocity and direction of the water flow, and uses a binocular camera mounted on the same system to determine the size of underwater organisms. It employs an image recognition algorithm within the underwater observation system to perform image pattern recognition and classification of underwater organisms, identifying their species and quantity. Data is transmitted via an armored cable to the communication module of a virtual moored unmanned platform, and error control is implemented on the data transmitted via the armored cable to detect and correct errors that occur during transmission. The success of the returned information is determined through an information transmission control method within the underwater observation system. This invention enables image recognition of amphioxus in complex sea conditions, improving operational efficiency and safety.

This invention discloses a single-station UHF radar method for inverting surface velocity at river cross sections based on RAMPJI. The method includes acquiring radar echo data, dividing the observed flow field area into multiple equally spaced intervals according to the cross-sectional direction, estimating the main flow direction, back-projecting each radial velocity component to the main flow direction to construct a candidate set of velocity values ​​and eliminate outliers, then introducing a weighted fusion mechanism for each radial velocity angle pair within each partition to obtain stable observation values, and employing a Top-K strategy to weightedly fuse effective angle pairs to achieve cross-sectional surface velocity inversion. This invention achieves effective fusion of multi-angle radial velocity observation information and inversion of cross-sectional surface velocity. It can stably invert cross-sectional surface velocity under different environmental noise, different flow direction offsets, and missing measurement conditions. It maintains high inversion accuracy and spatial continuity in complex river environments, and its cross-sectional surface velocity results show good consistency with the velocity values ​​measured by an Acoustic Doppler Current Profiler (ADCP).