848 results about "Shore" patented technology

The invention relates to the technical field of data processing, and discloses a multi-source heterogeneous marine data intelligent fusion and marine disaster prediction method and platform, and the method comprises the steps: carrying out the hierarchical deployment and network topology construction of marine environment monitoring equipment, communication relay equipment and data processing equipment, and obtaining a sea-air-shore integrated monitoring network; collecting marine environment data with a space-time identifier; carrying out ocean element modeling and dynamic feature extraction to obtain an ocean environment digital model; performing feature fusion and correlation analysis on the multi-source heterogeneous ocean data to obtain spatio-temporal feature data; and training and multi-model integration are carried out on the typhoon path prediction model, the storm surge prediction model and the red tide prediction model by adopting a transfer learning method to obtain a marine disaster prediction model set, so that the prediction precision and timeliness are improved, the allocation and scheduling of computing resources are optimized, and the real-time requirement of mass data processing is met.

The invention relates to the technical field of ships, in particular to a fault monitoring system and method for a ship power system, and the system comprises a multi-source data collection module which carries out the real-time collection of the operation parameters, environment parameters and equipment state parameters of the ship power system through a collection device. The fault early warning module is used for predicting the development trend of the fault after the fault diagnosis is completed; the early warning decision module generates early warning information of different levels according to the state evaluation result, the fault diagnosis result and the RUL prediction result, gives targeted operation and maintenance decision suggestions, and pushes the suggestions to a ship cockpit, a shore-based operation and maintenance center and an operation and maintenance personnel mobile terminal; 24-hour uninterrupted multi-parameter acquisition of the ship power system is realized through the multi-source sensor network, three types of parameters of operation, environment and state are covered, acquisition delay is reduced, and the problems of poor timeliness and incomplete parameter coverage of traditional manual inspection are solved.

The invention relates to the technical field of coast engineering, in particular to a beach change evolution inversion method combining numerical simulation and actually measured data, which comprises the following steps: S1, acquiring an actually measured shoreline data set of a current period; s2, establishing a wave-tidal current-sediment coupling numerical model; s3, outputting a simulated shoreline data set; s4, performing spatial matching on the actually measured shoreline data set and the simulated shoreline data set to generate a spatial discrete residual field; s5, taking the spatial discrete residual field as a constraint condition, and reversely solving an optimal hydrodynamic parameter combination; and S6, inputting the optimal hydrodynamic parameter combination into the wave-tide-sediment coupling numerical model, and outputting the beach evolution form in the future period. According to the method, dynamic coupling of the hydrodynamic parameters and the beach evolution process is realized by constructing an inversion optimization mechanism based on actual measurement data driving, and the accuracy of shoreline change simulation and the reliability of prediction are greatly improved.

The invention discloses a land-sea-air-space holographic sensing and collaborative decision-making system based on multi-mode edge intelligence. The system comprises a sensing layer which is used for carrying out three-dimensional monitoring on a ship driving process, the sea, the sky, a shore base and a space formed by the ship driving process, the sea, the sky, the shore base and the sea, the sky and the shore base; the network layer is used for constructing a global communication basis, preprocessing monitoring data, judging whether the ship has an abnormal condition or not, and realizing data transmission of the ocean, the sky, a shore base and a space formed by the ocean, the sky and the shore base; and the application layer is used for judging whether an abnormal condition exists in the ship driving process or not based on the data of the ocean, the sky, the shore base and the space formed by the ocean, the sky and the shore base transmitted by the network layer, performing collision early warning decision based on the abnormal condition, and performing dynamic channel capacity prediction. And navigation guidance and route tracking in extreme weather are carried out based on environmental risk early warning, underwater obstacle collision is avoided, and early warning information and decision information are fed back to a sensing layer.

The invention discloses a near-shore sea ice remote sensing extraction method based on FY-3 / MERSI satellite data, and the method comprises the following steps: S1, carrying out the preprocessing of an obtained MERSI image, and obtaining an MERSI image only containing sea ice and seawater; s2, establishing a coastal sea ice remote sensing recognition algorithm according to the difference of the spectral characteristics of sea ice and seawater in each channel of the MERSI image, and evaluating the precision and accuracy of the coastal sea ice remote sensing recognition algorithm; s3, according to a coastal sea ice remote sensing recognition algorithm, extracting coastal sea ice information from the MERSI image of each day; and carrying out 10-day averaging and monthly averaging on the daily sea ice data extracted in each month to generate a sea ice ten-day product and a monthly product. According to the invention, automatic identification of high-spatial-resolution sea ice information of a high-latitude offshore area in winter can be realized.

The invention relates to the technical field of environment monitoring, and discloses a radio-based environment monitoring method and system, and the method comprises the steps: deploying an ocean buoy integrated with a plurality of parameter sensors, and detecting the water temperature, salinity, dissolved oxygen, pH value and illumination intensity in real time; transmitting the data detected in real time to a shore-based receiving station by using a radio communication module; performing drift correction and noise filtering on data transmission detected in real time; performing data fusion analysis according to the mutual relation among different data, and generating a marine environment assessment report; and abnormal early warning information is generated according to the marine environment assessment report and is fed back to a monitoring center in real time through radio. According to the invention, through integration of various parameter sensors, comprehensive monitoring of multiple parameters of the marine environment is realized, and the accuracy and reliability of monitoring are improved.

A method for simultaneous localization and mapping underwater. A robot is equipped with an IMU inertial unit and a sonar unit. When the robot submerges underwater, a buoy connected to the robot floats on the water surface, and the buoy moves in coordination with the movement of the robot. The position and observed velocity of the buoy are obtained by a shore-based lidar. During motion estimation in a SLAM algorithm, when an angular velocity is below a preset angular velocity threshold, the observed velocity of the buoy is decomposed into x-axis velocity and y-axis velocity, and updated as the two-dimensional operating velocity of the robot. The polar coordinates of an obstacle in a map under the coordinate system of the robot are associated with the polar coordinates of sonar data of a current frame by using the Mahalanobis distance. The polar coordinates of a new obstacle are converted to the world coordinate system and added to the map. The present invention has the advantages of not relying on underwater visibility, not requiring pre-installed devices, and possessing good generalization and stability.

The invention belongs to the technical field of automatic sailing of unmanned ships, and particularly relates to an automatic sailing temperature-salinity-depth profile observation system and method for mesoscale eddy prediction, the system is arranged on an unmanned ship and connected with an automatic retractable winch, and the system comprises a temperature-salinity-depth probe device arranged at the tail end of an A frame of the automatic retractable winch and used for retracting through the automatic retractable winch; lifting is realized, so that temperature, salinity and depth parameters of seawater with different profiles are measured, and key ocean data are provided for mesoscale eddy prediction; the data is transmitted to a mother ship / shore base end through a remote intelligent navigation control system; and the remote intelligent navigation control system is used for receiving various data and sending the data to the mother ship / shore base end, and controlling the driving process or task process of the automatic winding and unwinding winch, the temperature-salinity-depth probe device and the unmanned ship according to the instruction of the mother ship / shore base end. According to the invention, the laying and recovery of the temperature-salinity-depth profile measuring equipment can be controlled when the ship is sailing, and the laying and recovery of the sailing type temperature-salinity-depth profile measuring equipment can be carried out on the unmanned ship after upgrading and reconstruction.

The invention relates to the technical field of submarine cable fault positioning, in particular to a submarine cable fault positioning system based on underwater beacons. The method comprises the steps that an underwater acoustic beacon array unit monitors and collects submarine cable fault sound wave signals in real time based on underwater acoustic beacons; the fault signal processing analysis unit extracts submarine cable fault sound wave signal parameters based on a non-point source space sound source waveform analysis model, and generates multi-parameter fault sound source feature vectors; the sound source positioning analysis algorithm unit performs three-dimensional inversion positioning based on the multi-parameter fault sound source feature vector and the arrival time difference of the submarine cable fault sound wave signal to the underwater acoustic beacon, and obtains the spatial position information of the submarine cable fault point; and the data communication alarm management unit sends the spatial position information of the submarine cable fault point to a shore-based operation and maintenance system. The submarine cable fault positioning method is used for realizing a submarine cable fault positioning technology for quickly and accurately positioning and identifying spatial extension characteristics in a complex submarine environment.

The invention relates to the technical field of deep and far sea small island health monitoring, and discloses a deep and far sea small island health monitoring system and method. A non-intrusive data acquisition system composed of a sensor network, a shore-based camera device and a vibration sensor is adopted, and total-factor real-time monitoring of open sea environment parameters, reef images and the vibration state of a protective building is achieved. Through joint operation of a wave field distribution model and a structural damage prediction model, actually measured data and numerical simulation are combined, and the temporal-spatial resolution of wave parameters of the reef and the evaluation precision of the health state of a protective building are improved; the early warning threshold value is dynamically adjusted through deviation analysis of real-time association of historical disaster data and the current monitoring value, and the timeliness and accuracy of early warning of extreme events are improved; finally, through an automatic triggering mechanism of a multi-stage early warning signal, all-weather and high-reliability safety monitoring guarantee is provided for deep and far sea islands, meanwhile, the manual maintenance cost is reduced, and a remarkable technical synergistic effect is achieved.

The invention relates to a ship berthing position detection method and system based on shore end laser radars, and the method comprises the steps: deploying a plurality of laser radars at a shore end, and collecting original point clouds in parallel through an asynchronous thread model; constructing a rigid transformation matrix based on the radar installation attitude parameters, and further generating fusion point cloud data under a unified world coordinate system; then extracting 3D geometric edge points in a preset range of the front edge of the wharf as near-shore point cloud data, and further calculating the minimum ship-shore distance; based on the ship bow direction and a preset segmentation threshold value, the coastal point cloud data are segmented into ship bow area point cloud and ship stern area point cloud in the x-axis direction, the coordinate mean value of the ship bow area point cloud and the ship stern area point cloud is calculated and compared with an expected position in a wharf operation system, and berthing accuracy is judged; and the drift distance is calculated in real time, the drift distance, the attitude angle and the change rate of the attitude angle are compared with corresponding preset threshold values respectively for graded early warning and drift alarm, and high-precision ship berthing position dynamic detection is achieved.

The invention discloses a ship response system based on AI large model data fusion, and belongs to the technical field of ships, and the system comprises a dual-mode positioning module which is used for carrying out the centimeter-level positioning of a ship in a target sea area according to a GNSS system and an INS system, and obtaining the centimeter-level positioning ship position data; the data synchronization module is used for acquiring and synchronizing ship multi-source data according to the centimeter-level positioned ship position data to obtain ship situation data; and the edge-cloud collaboration module is used for monitoring the ship in real time according to the ship situation data and an edge-shore-based collaboration mechanism and dynamically adjusting the navigational speed and the fuel supply plan to stop the ship according to the sea condition. The problems that in the prior art, comprehensive and accurate comprehensive information is difficult to form, hidden dangers cannot be found in time, and accidents cannot be prevented in advance are solved.

The invention discloses a floating wind power platform self-energized carbon capture and deep sea sealing integrated system, which comprises a floating platform foundation, which comprises a plurality of buoy parts, and the buoy parts are integrated through connecting parts; the double-path carbon capture subsystem comprises an air carbon capture module and a seawater carbon capture module; the air carbon capture module introduces air into the adsorption module through negative pressure, and selectively adsorbs CO2 in the air; the seawater carbon capturing module is used for separating out CO2 from seawater in an electrochemical separation mode; the carbon sequestration subsystem is used for compressing, liquefying and sequestration the CO2 conveyed by the double-path carbon capture subsystem; and the wind power function subsystem comprises a wind power generation tower and power distribution equipment for supplying power to each subsystem. The platform is reasonable in configuration and high in function integration degree, has the advantages of wind energy driving, autonomous operation, continuous carbon capture, on-site storage and the like, is particularly suitable for deep and far sea areas without seabed pipe networks and far away from shore-based power grids, and can be used for application scenes such as wind power plant carbon compensation and ocean carbon removal.

The invention discloses a deep and far sea wind power foundation platform and load integrated system under extreme environment conditions, and belongs to the technical field of offshore wind power platforms. The system comprises a basic platform body, a multi-dimensional monitoring subsystem, an environment-load coupling analysis subsystem, an intelligent regulation and control execution subsystem, a safety early warning decision subsystem and a shore-based collaborative management subsystem. Through synchronous acquisition of extreme marine environment, basic platform structure load and operation state data, distributed multi-type sensor layout and high-frequency sampling, data acquisition comprehensiveness and timeliness are realized, monitoring data are fused, a coupling model is constructed, 24-hour load change is predicted, and the real-time performance of the system is improved. According to the method, the attitude of the platform is dynamically adjusted, bearing configuration is optimized, emergency protection is started, the limitation of traditional separation analysis and fixed regulation and control is broken through, and the risk disposal and operation and maintenance efficiency is improved through risk quantification and grading early warning, remote monitoring and intelligent scheduling of a shore-based collaborative management subsystem and four-level early warning accurate matching coping strategies.

The invention relates to a sandy coast back shore ecological restoration multi-objective optimization method based on an NSGA-II algorithm, and the method comprises the following steps: S1, selecting a damaged sandy coast, carrying out the background investigation, and calculating a wave climbing value; s2, determining a vegetation arrangement range of the damaged sandy coast; s3, beach shoulder sand supplement of beach shoulder width is conducted on different areas of the damaged sandy coast, and sand dune sand supplement of an artificial sand dune is conducted; s4, calculating the wind erosion prevention efficiency and the wave erosion prevention efficiency of the dominant vegetation; s5, constructing a sandy coast back shore ecological restoration multi-objective optimization function and constraint conditions; s6, solving the multi-objective optimization function based on an NSGA-II algorithm to obtain an optimal vegetation configuration scheme set; s7, based on actual conditions, selecting an optimal vegetation configuration scheme for planting; and S8, detecting vegetation data after planting, and starting a reseeding program when the survival rate of vegetation is lower than a threshold value. Compared with the prior art, the method has the advantages that the fitness of the multi-power environment is improved, and then the windproof and wave-resistant effects are optimized.

The invention belongs to the technical field of ship management, and provides a combined intelligent ship water diversion system integrating differential positioning, a laser radar and a camera. In the shore end RTK-inertial navigation depth fusion positioning module, extended Kalman filtering fusion is carried out on data acquired by shipborne equipment, so that continuity of accurate positioning is realized; the construction of a color high-precision map is realized through a laser radar-monocular vision color high-precision modeling module, details such as wharf fender materials and signboard characters can be better distinguished, and the problem of shoreline modeling defects is solved; visualization of obstacles is achieved through the multi-scene dynamic obstacle detection and fusion module, meanwhile, through cooperation of multi-source data, the precision and stability of ship positioning are greatly improved, higher precision and reliability are achieved, and the precision of a guide instruction is improved; through cooperation of the 5G private network and the visualization module, the data transmission efficiency is improved, the timeliness is improved, and transmission delay can be avoided.

The invention belongs to the technical field of marine environment prediction, and discloses a near-shore sea wave forecasting method and system based on deep learning. The method comprises the following steps: constructing a near-shore adjacent wave forecasting model NWNN training data set based on deep learning based on open source environment data; a near-shore adjacent wave forecasting model NWNN is constructed; using PyTorch to train a near-shore adjacent wave forecasting model NWNN (Neighbor Wave Nearest Neighbor); and performing accuracy verification on a forecast result by using a buoy measured value which is not trained by the near-shore adjacent wave forecast model NWNN. According to the method, more accurate and reliable data support can be provided for prediction of marine weather events, so that marine economy and life and property safety of the masses can be guaranteed, and the trend and influence of climate change can be known.

The invention provides a maritime communication optimization method and system based on artificial intelligence. Wherein the maritime communication parameters are comprehensively analyzed and processed to obtain a communication quality report; according to the communication quality report, combining with a ship navigation plan, performing optimization selection processing on available frequency bands by applying an intelligent spectrum allocation algorithm, further improving the scientificity and rationality of frequency band allocation through a spectrum use efficiency analysis technology, and generating an optimized communication resource allocation scheme; based on the optimized communication resource configuration scheme, after a safe and stable bidirectional data channel is established, an efficient and reliable communication path is obtained; and integrating the efficient and reliable communication path with the real-time ship position information and a shore-based support system, planning an optimal communication path by using an intelligent routing algorithm, and generating a comprehensively optimized maritime communication solution. According to the technical scheme provided by the invention, the flexibility, the security and the response speed of the communication system are improved.

The invention discloses a semi-physical simulation platform for testing the safety of an unmanned surface vehicle, and relates to the field of simulation testing, and the platform comprises a shore-based monitoring system, a hardware simulation system, a dynamics simulation system, an unmanned surface vehicle scene editing system and an unmanned surface vehicle scene simulation system. And the dynamics simulation system is connected with the hardware simulation system. The unmanned ship scene simulation system is connected with the unmanned ship scene editing system, the dynamics simulation system and the hardware simulation system. Wherein the unmanned ship generates a control instruction based on control data and a task instruction input by the shore-based monitoring system; the hardware simulation system simulates the environment temperature and the marine environment stress of the safety test of the unmanned ship so as to obtain the pose data of the unmanned ship; the unmanned ship scene simulation system calls a scene configuration file based on the pose data to generate a simulation test virtual scene; and the unmanned ship adjusts the control instruction based on the simulation sensor data. According to the invention, the authenticity and credibility of the real installation test of the unmanned ship can be improved.

The invention relates to the technical field of ship automatic control and intelligent traffic systems, solves the technical problem that trust evaluation is invalid or inaccurate due to the fact that a traditional trust evaluation method does not fully consider changes of a dynamic environment and a system state, and particularly relates to a shore-based driving and control inland river ship intelligent navigation man-machine interaction trust evaluation method. The objective of the invention is to improve the interaction safety and system stability between a ship and a shore-based control center through a dynamic trust calculation and risk assessment mechanism. The method specifically comprises four parts: trust index system construction, data acquisition and preprocessing, dynamic trust calculation and risk assessment and response. According to the method, the man-machine interaction trust in the intelligent navigation of the inland ship is dynamically evaluated and managed through a zero trust framework, so that the safety and stability of the ship in the navigation process are improved, and particularly, the trust degree of interaction between a shore base and the ship is evaluated in a complex and dynamic navigation environment; therefore, the safety and reliability of the system are ensured.

The invention discloses a GNSS (Global Navigation Satellite System) water level inversion model, which belongs to the technical field of water disaster prevention and marine environment monitoring, and comprises the following steps: S1, acquiring original data: an SNR (Signal to Noise Ratio) observation value and a GNSS observation value; s2, setting parameters: determining cut-off elevation angle information and azimuth angle information according to the surrounding environment of the shore-based GNSS monitoring station; s3, direct reflection signal separation: selecting IMF components containing main water level information to perform water level inversion and addition output; and S4, solving h by utilizing spectral analysis: analyzing the IMF component segment containing the water level information by utilizing a Lomb-Scargle algorithm to solve a main frequency f, and converting according to a formula to obtain a required vertical reflection distance h. The GNSS water level inversion model has the advantages of global coverage, no need of manual intervention, economy, effectiveness and simplicity and convenience in maintenance, and is suitable for monitoring tides, rivers, lakes and sea level; the accuracy of water level inversion can be improved, and key water level information is prevented from being lost in traditional denoising.

The invention relates to the technical field of underwater navigation and positioning, and particularly discloses a wide-area very-low-frequency radio navigation and underwater sound combined underwater navigation and positioning method, which comprises the following steps that: a very-low-frequency navigation transmitting station transmits a very-low-frequency radio navigation time service signal; the semi-submersible acoustic beacon receives a very-low-frequency radio navigation time service signal; performing position calibration and time synchronization; the semi-submersible acoustic beacon emits an underwater acoustic navigation signal, and the underwater carrier calculates the three-dimensional coordinates of the underwater carrier according to the received underwater acoustic navigation signal. According to the invention, a shore-based very-low-frequency radio navigation and underwater sound combined navigation mode is adopted, and a very-low-frequency radio navigation time service signal has a certain underwater entry depth, so that the problem of time synchronization between semi-submersible acoustic beacons is solved, and auxiliary calibration of the positions of the semi-submersible acoustic beacons is provided; the semi-submersible acoustic beacon emits an underwater navigation signal to realize navigation and positioning of a deepwater underwater carrier, and reliable navigation service with wide area coverage, high precision and low power consumption is provided for the underwater carrier.

The invention discloses a method for generating a reservoir area river channel cross section by fusing multi-source data and encrypting step by step, and relates to the field of hydropower engineering measurement. The method comprises the steps of obtaining multi-source data of a reservoir area river channel section, and performing fusion processing on the multi-source data to obtain a point cloud set Q; laying section line segments, and determining an initial section data set A according to the laid section line segments; obtaining topographic feature points on the section line segments to form a new section data set B; obtaining a new section data set C; forming a new section data set D; converting the section data set D into a section mileage file; and drawing the mileage file into a cross section diagram, and further generating a reservoir area river channel cross section. According to the method, multi-source data are fused into point cloud data of the whole reservoir bank area, data sources comprise true color airborne laser point cloud data of the shore part, elevation point data collected by an underwater unmanned ship and elevation point data manually collected by a reservoir close to the shore and a shallow water area, and high precision and comprehensiveness of the data sources are guaranteed.

The invention relates to the technical field of air-sea cross-domain communication, discloses an air-sea cross-domain robust communication method for sea condition adaptive perception, and aims to improve the air-sea cross-domain communication quality in various marine environments. The air-sea cross-domain robust communication method based on sea condition self-adaptive perception comprises two parts of environment information processing based on a shore-based computer and sea condition self-adaptive perception based on a cross-domain communication gateway. The shore-based computer extracts feature information by collecting sea condition information and sends a control instruction to the cross-domain communication gateway. And after receiving the instruction, the gateway analyzes the environment condition and executes the control instruction to realize robust communication. Meanwhile, the gateway is also provided with ocean monitoring equipment which can adaptively sense the change of the sea condition and adjust the communication strategy. The method can effectively cope with sea condition changes, guarantees communication quality, is suitable for scenes with frequent sea activities, and has important practical application value.

The invention relates to the technical field of bank slope erosion and deposition monitoring, and discloses wharf bank slope erosion and deposition monitoring equipment and an identification method. The sonar depth finder is installed at the top of the outer wall of the supporting column and used for detecting the water level depth; the water flow Doppler velocimeter is installed at the bottom of the outer wall of the supporting column and used for detecting the flow speed and the flow direction of water flow; the sensor group is mounted in the middle of the outer wall of the support column and is used for detecting the temperature, turbidity and salinity of the water flow; and the controller is mounted at the inner top of the supporting column and is used for receiving and calculating information of the sensor group, the sonar depth finder and the water flow Doppler velocimeter. By detecting the water depth, the water flow speed, the water flow direction, the water temperature, the turbidity and parameters, the controller receives, preprocesses, calculates and analyzes information, and therefore real-time monitoring of the water area state is achieved, scour and siltation areas are accurately predicted, early warning is given out in time, decision support is provided, and the safety and maintenance efficiency of bank slope facilities are improved.

The invention discloses a high-frequency radar water flow velocity monitoring method with a self-adaptive environmental interference compensation function, relates to the technical field of water flow velocity monitoring, and aims to generate shoreside clutter source distribution information by determining a target water area to analyze shoreside clutter source distribution characteristics. And spatial resolution optimization is carried out based on the shore clutter source distribution information, and radar monitoring configuration parameters are generated. Scanning a target water area, obtaining a water surface echo signal in real time, and recording water surface environment parameters by using a matched sensor of a preset high-frequency radar. The water surface echo signal is compensated, and Doppler frequency shift signal features related to the water flow surface velocity are extracted. And performing water flow velocity vector distribution calculation based on the Doppler frequency shift signal characteristics to generate a water flow velocity distribution diagram. The technical problem that a high-frequency radar water flow velocity monitoring method in the prior art is easily interfered by a shore clutter source and variable environmental parameters in a complex environment, so that the water flow velocity measurement precision is not high is solved.

The invention belongs to the technical field of photovoltaic power generation, and particularly relates to a floating type photovoltaic array power generation performance evaluation method, which comprises the steps of constructing an offshore area environment model; a Boussinesq model is adopted to calculate a real near-shore wave field; constructing a matching surface on the outer side of the array, extracting wave field time domain information, and converting the wave field time domain information into a frequency domain component; solving the six-degree-of-freedom motion response of the array through a boundary element method by taking the component as a boundary condition; calculating the dynamic attitude of the assembly, the solar incident angle, the out-of-plane irradiance, the working temperature and the instantaneous output power in real time based on the motion response; and finally evaluating the wave-induced power generation loss. According to the method, the Boussinesq model and the boundary element method are coupled in a domain nested mode, balance is achieved between calculation efficiency and precision, key environmental factors such as non-constant water depth, topographic relief and shoreline effect are synchronously considered, 'hydrodynamic force-light receiving-power generation 'chain coupling is achieved for the first time, and reliable support is provided for engineering design and performance evaluation of a near-shore floating type photovoltaic array.

The invention relates to the technical field of ship navigation and data safety, solves the technical problem that an existing ship data safety guarantee system has defects in the aspects of data trust evaluation and data correction, and particularly relates to a safety guarantee method for credible interaction of inland ship shore-based driving control data under a zero-trust architecture. Comprising the following steps: standardizing operation data to obtain ship sensing data and shore-based data with the same dimension; based on an evidence theory, taking the ship sensing data and the shore-based data as independent evidence sources to perform fusion processing so as to obtain a trust evaluation result for quantitatively representing data credibility; and performing consistency correction on the ship sensing data and the shore-based data based on a least square method. According to the method, scientific and rigorous trust evaluation is realized, mathematical optimality of data fusion is guaranteed, and long-term reliability is ensured. Meanwhile, the credibility and the weight are directly associated with the equipment precision and historical data, so that an operator can flexibly adjust the system to adapt to different equipment.

The invention provides a network version digital ocean ball public application and development integration method and system. According to the method, intelligent buoys equipped with laser communication and scanning equipment and processors are used as dynamic nodes, a self-organizing communication network is constructed, and underwater positions and ocean current data are shared. And when multiple nodes detect abnormal targets at the same time, a collaborative verification mechanism is triggered. The system drives the nodes to adjust the layout through a dynamic sphere model, and at least three nodes are controlled to move towards the center of the target along a spiral path to form a multi-layer spherical monitoring structure. And finally, encoding and uploading the three-dimensional coordinate data to a shore-based platform to generate an updated digital ocean ball map. According to the technical scheme provided by the invention, accurate positioning and three-dimensional visual monitoring of the abnormal target in the marine environment are realized, the marine ecological monitoring performance and the space coverage precision are remarkably improved, and a three-dimensional data support is provided for marine environment protection and disaster early warning.

A shore-based automatic measurement and refined calculation method for river flow includes: performing adaptive segmented terrain fitting based on measured underwater and onshore topographic data of a river section to obtain a river section topographic polynomial group; real-time monitoring of the current river water level, determining the location of the river's land-water boundary and water depth in combination with the river section topographic polynomial group, and measuring the river surface velocity at fixed distances using a rotating velocity-measuring radar with an automated control device; converting the corresponding average velocity using the relationship between the open channel surface velocity and the cross-sectional average velocity, performing adaptive segmented fitting to obtain a river section average velocity polynomial group; dividing the river surface into several sections using vertical lines, and calculating the river depth at the vertical lines and the area between adjacent vertical lines in each section; calculating the average velocity of the centerline of each vertical line using a river section average velocity formula group, and calculating the river section flow by multiplying and summing the areas of each section with the average velocity. This invention has important practical value for real-time, online shore-based river flow measurement under complex water conditions.