16 results about "Acoustic Doppler current profiler" patented technology

The invention belongs to the technical field of hydrodynamics, and relates to a subsurface flow accurate measurement method and system based on an acoustic Doppler flow velocity profiler. The method comprises the following steps: measuring a target water area by using an acoustic Doppler current profiler; extracting at least one boundary feature parameter at the measurement point; constructing a physical-data fusion model and carrying out pre-training; inputting effective flow velocity data located above the measurement blind area in the original data of the flow velocity profile and the boundary characteristic parameters into a pre-trained physical-data fusion model; and outputting the subsurface flow velocity distribution in the measurement blind area and the key statistic and confidence interval of the subsurface flow velocity distribution. According to the method, the respective defects of an existing physical model and an existing data driving model can be overcome, a subsurface flow accurate measurement method integrating physical interpretability and environment adaptability is provided, a traceable and verifiable model training and evaluation benchmark is provided, and the subsurface flow measurement accuracy in a complex environment is remarkably improved.

The embodiment of the invention discloses a data quality control method, device and equipment for an acoustic Doppler flow velocity profiler. The method comprises the following steps: representing original data of the acoustic Doppler flow velocity profiler as superposition of a real flow velocity, measurement noise and an abnormal value; describing the dynamic characteristics of the original data by using a state space model, and determining a corresponding state vector and an observation vector; performing prediction processing of the Kalman filtering according to the prediction step of the standard Kalman filtering; modifying the updating step of the standard Kalman filtering by adopting a Huber weight function and an innovative sequence self-adaptive method to form an updating step of robust self-adaptive Kalman filtering, and updating the Kalman filtering according to the updating step of the robust self-adaptive Kalman filtering; and detecting an abnormal value in the original data, replacing the abnormal value with a predicted value at a corresponding moment after robust adaptive Kalman filtering processing, and outputting the data after quality control. According to the method and the device, the abnormal value and the noise in the ADCP data are effectively controlled, and the robustness and the accuracy of data processing are remarkably improved.

The utility model relates to a discontinuous one-way rotating ADCP (Acoustic Doppler Current Profiler) scanning flow measuring device for a fluid section, and belongs to the technical field of water flow detection. According to the technical scheme, a floating traction cable, a scanning flow measurement sensor driving motor and a control module are arranged on a floating body, the control module is connected with the scanning flow measurement sensor driving motor, and the output end of the scanning flow measurement sensor driving motor is connected with a rotating shaft below the floating body; the floating traction cable is formed by extruding a waterproof floating material outside a cable core; two ends of the cable core are respectively connected with the control module and the power supply and control system; the floating traction cable floats on the water surface. The beneficial effects of the utility model are that the floating traction cable is adopted to prevent from hanging aquatic plants in water to influence the normal operation of the flow measurement sensor, and the scanning flow measurement sensor driving motor and the control module are arranged on the upper side of the floating body, thereby reducing the waterproof requirement, simplifying the structure, reducing the cost, improving the reliability of the device, reducing the maintenance amount, and improving the user experience.

The present application relates to the technical field of offshore wind farm area marine environment monitoring, and discloses a kind of offshore wind farm wide area environment panoramic perception method and system, comprising: S1, in the target area of offshore wind farm layout seabed bottom type comprehensive observation equipment and low-altitude meteorological observation equipment;The seabed bottom type comprehensive observation equipment includes acoustic Doppler current profiler, tide gauge, temperature salinity depth instrument, and the low-altitude meteorological observation equipment includes weather station, wind radar;S2, through seabed bottom type comprehensive observation equipment, low-altitude meteorological observation equipment acquisition field data, through meteorological remote sensing satellite acquisition remote sensing data, remote sensing data is inverted to obtain remote sensing inversion data, and field data and remote sensing inversion data are transmitted to software processing platform etc.;The method and system can realize the collaborative collection of space-time-sea multidimensional data, accurate processing and fusion prediction, improve the comprehensiveness and accuracy of offshore wind farm environment perception.

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 utility model belongs to the field of hydrological lead fishes, and particularly relates to a hydrological lead fish device with an ADCP (Acoustic Doppler Current Profiler), which comprises a lead fish body, a mounting groove is formed in the fish lead body, an ADCP body is slidably connected to the inner side of the mounting groove, a groove is formed in the fish lead body, a screw is rotatably connected to the interior of the groove, a moving block is in threaded connection to the surface of the screw, and a positioning plate is fixedly connected to the side face of the moving block. The positioning plate is slidably connected with the mounting groove, a friction pad is arranged on the inner side of the positioning plate, a worm gear is fixedly connected to the surface of the screw rod, a worm is rotatably connected to the interior of the mounting groove, and the worm is meshed with the worm gear; and by arranging the rotating rod, the worm and the worm gear, the positioning plates on the two sides can be driven to move, the ADCP body in the mounting groove is clamped and positioned, and meanwhile, the ADCP body is convenient to disassemble and assemble.

The application discloses a flow field self-adaptive calculation method and system based on an acoustic Doppler current profiler. The method comprises the following steps: collecting original spectrum data of a Doppler current meter and synchronous attitude, position and water level information; pre-processing and quality marking the original data; extracting multi-dimensional features, identifying the current dominant flow field type through a pre-trained flow field classification model; adaptively selecting a flow velocity profile reconstruction algorithm according to the flow field type, and dynamically adjusting key algorithm parameters in the reconstruction process according to flow field stability or turbulent intensity parameters; generating a calculation grid for flow integration calculation based on the reconstruction strategy, and comprehensively evaluating data, models and integration errors to quantify the uncertainty of the output flow result; and finally, performing flow field anomaly diagnosis, short-term flow trend prediction and equipment health state early warning. The application solves the problem of insufficient accuracy of traditional fixed algorithms under complex flow fields, and significantly improves the reliability and intelligent level of flow monitoring.

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 utility model discloses a deep sea subsurface buoy system suitable for fine observation of a bottom boundary layer, which comprises a seabed base, a plurality of single-point flow velocity observation units and a main floating body which are sequentially connected from bottom to top, the plurality of single-point flow velocity observation units are arranged between the seabed base and the main floating body along the tensile cable, and each single-point flow velocity observation unit is integrated with a deepwater single-point current meter and a CTD; an acoustic Doppler flow velocity profiler is installed in the main floating body, and the acoustic Doppler flow velocity profiler, an ADV, a CTD and a double-parallel acoustic releaser are integrated on the seabed base. According to the utility model, an observation blind area is eliminated through structure optimization, and a core area (5-10m) of a bottom boundary layer can be brought into an observation range; multiple observation units with vertical spacing can capture full-water-depth ocean current change details, and the data resolution is improved; due to the arrangement of the double parallel acoustic releasers, the equipment reliability is improved, and the risk of recovery failure is effectively reduced; and long-term continuous observation can be realized.

1. The name of the design product: acoustic Doppler current profiler (iFlow RP9). 2. The use of the design product: the design product is used for flow measurement of unmanned ships, trimarans and other ships. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of data transmission, and discloses a data transmission method and system of a distributed wireless acoustic Doppler flow velocity profiler, which are realized based on a distributed control module and a distributed storage station in the flow velocity profiler. The distributed control module establishes two data links with the transfer gateway through the dual-communication module, hydrological data are collected and stored periodically, timestamps are generated, and after the hydrological data are transmitted to the gateway through the links, the gateway stores the data and feeds back a response instruction. And by summarizing multi-node timestamps, calculating the communication duration and the corresponding ratio, and when it is judged that the link state is poor, switching the functions of the two links. According to the method, through double-link redundancy design and dynamic switching, the problem of signal interference in a severe hydrological environment is effectively avoided, data loss and delay risks are reduced, the stability and timeliness of data transmission are guaranteed, and the actual requirements of scenes such as hydrological monitoring, flood control and disaster reduction are met.

This invention belongs to the field of hydrodynamics technology and relates to a method and system for accurate measurement of subsurface currents based on an acoustic Doppler current profiler. The method includes: measuring a target water area using an acoustic Doppler current profiler; extracting at least one boundary feature parameter at the measurement point; constructing and pre-training a physics-data fusion model; inputting the effective velocity data above the measurement blind zone from the original velocity profile data and the boundary feature parameter into the pre-trained physics-data fusion model; and outputting the subsurface current velocity distribution within the measurement blind zone, as well as the key statistics and confidence intervals of this velocity distribution. This invention overcomes the shortcomings of existing physical models and data-driven models, providing a precise subsurface current measurement method that combines physical interpretability and environmental adaptability. It also provides a traceable and verifiable benchmark for model training and evaluation, significantly improving the accuracy of subsurface current measurement in complex environments.

The invention relates to the field of ocean monitoring, and discloses an ocean internal wave monitoring and early warning device for an ocean oil and gas platform, and the device comprises a seabed comprehensive observation platform which comprises a pedestal installed at the seabed, the top of the pedestal is provided with a seabed main frame, and the left side of the seabed main frame is provided with an acoustic Doppler flow velocity profiler 1. According to the device, the underwater data acquisition cabin is arranged to transmit data acquired by a seabed comprehensive observation platform to the underwater coupling communication cabin, inductive coupling transmission is carried out through a plastic-coated steel cable, and the data is transmitted to the sea surface coupling communication cabin and the battery cabin II; the two ends of the plastic-coated steel cable are in contact with seawater and grounded through the second mechanical rotating ring and the first mechanical rotating ring, a loop is formed, and finally data are transmitted to a shore-based data receiving center station through a 4G communication module arranged in the 4G communication master control cabin. According to the device provided by the invention, efficient seabed environment data monitoring, efficient data transmission and more detailed ocean data monitoring functions are realized.

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).