415 results about "Shore" patented technology

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 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 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 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 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 present invention belongs to the field of marine underwater positioning, navigation and timing. Disclosed are an underwater navigation and communication integrated position service system and method. The system comprises a buoy base station, a submerged buoy base station, a seabed base station and a shore-based operation and control unit, and the system utilizes a three-dimensional base station network observation mode combining the buoy base station, the submerged buoy base station and the seabed base station. The position service system and method in the present invention have the capabilities of underwater acoustic navigation and communication, satellite positioning and communication, atomic clock timekeeping, hydrological measurement and responding to instructions of a shore-based operation and control unit, have the functions of autonomous, real-time and online base station position and clock calibration and sound velocity field correction, have the functions of base station position and clock calibration, and sound velocity field correction and control based on the shore-based operation and control unit, and can expand the range and functions of underwater position services, and provide accurate positioning, navigation and timing services for water-surface / underwater users.

The invention discloses an estuary sediment transport simulation method considering environmental factor coupling, and belongs to the technical field of offshore marine deposition dynamics, and the method comprises the steps: processing the geographic data of a target sea area, constructing a non-structural computational grid region of the target sea area, and generating an initial terrain field; for a target sea area, setting boundary conditions and an initial field, and constructing a three-dimensional hydrodynamic numerical model; performing systematic verification and parameter calibration on the three-dimensional hydrodynamic numerical model in S2 by adopting multi-source observation data; based on the three-dimensional hydrodynamic force numerical model verified in S3, constructing a three-dimensional hydrodynamic force-sediment coupling numerical model considering environmental factor driving; and performing systematic verification and parameter calibration on the three-dimensional hydrodynamic force-sediment coupling numerical model in the step S4 by adopting multi-source observation data. According to the method, the real-time dynamic coupling relation between the environmental factors and the sediment settling velocity is established by modifying the sediment settling velocity equation, the flocculation effect of the estuary high-concentration fine-particle sediment is represented, and the accuracy of suspended sediment concentration simulation is improved.

The invention discloses an unmanned ship self-adaptive safety redundancy system for an inland river ultra-shallow water environment and a control method. The system is composed of four-stage closed-loop redundancy of sensing, decision making, execution and laws and regulations. A 0.1 m-stage shallow water three-dimensional map is constructed in real time by a dual-millimeter-wave radar and a high-frequency single-beam sounding sonar; the main and standby controllers process the quay wall effect, backflow and grounding nonlinear disturbance on line through a BLF-RBFNN fixed time convergence algorithm, and the upper bound of convergence time is 4.2 s and is irrelevant to the initial state; the variable-configuration double-pump jet-air cushion hybrid propulsion device adjusts the draft on line according to the water depth of 0.12-0.45 m, and is matched with the self-righting honeycomb composite ship body to automatically stop leakage and return within 60 seconds when the ship body is damaged; and when the ship-end double control fails, the ship-shore cloud collaborative digital twinborn body completes regulation-level minimum risk takeover within 10 seconds. Experiments prove that the path error is less than or equal to 0.08 m and the fault degradation success rate is 100% in a 0.15 m water tank and 0.35 m Yangtze River channel, and zero-grounding, zero-overturning and zero-regulation illegal sailing of the ultra-shallow water unmanned ship is realized.

The invention discloses a method for cooperatively carrying out dredging and ecological protection in a near-shore sensitive area, belongs to the technical field of port and channel engineering desilting, and aims to solve the technical problem that construction efficiency and ecological environment protection are difficult to consider when dredging operation is carried out in the near-shore sensitive area. Comprising an operation system of at least one dredging sub-ship, a path is planned through underwater topographic survey, the sub-ship is fixed through a gauge pile system, a multi-joint hinged arm with a cover type cutter suction head is lowered to be attached to a mud bed, sludge is liquefied through a high-pressure water system, and slurry is conveyed through a sand pump set; the slurry concentration and the turbidity of a surrounding water area are respectively monitored through an inner turbidity sensor and an outer turbidity sensor, and closed-loop feedback control is formed to dynamically adjust the power of a sand pump, the pressure of high-pressure water and the speed of a hinged arm; and meanwhile, in the dredging process, an ecological base material containing a biological agent is sprayed to the bare seabed through an ecological base material spray head, and dredging and ecological restoration are synchronously carried out. The method is mainly used for dredging construction and ecological protection of near-shore sensitive water areas.

The invention provides a sonar intelligent interpretation method and system, and the method comprises the steps: integrating end-side equipment (disposed on a ship-borne platform) and side-side equipment (disposed in a shore-based machine room) to form a sonar intelligent interpretation system; through the intelligent sonar interpretation system, full-process automatic processing of sonar interpretation from data acquisition of sonar images to interpretation is realized, the interpretation efficiency of the sonar images is effectively improved, and in addition, the intelligent sonar interpretation system also can be used for realizing automatic interpretation of the sonar images on the basis of mass sonar image data (namely sonar images stored in a data warehouse) obtained through actual measurement. Model training of the sonar interpretation model and training examination of interpretation personnel are synchronously achieved, a sustainable closed-loop optimization system is formed, and the problems that in traditional sonar interpretation, the interpretation accuracy is low, the data reuse rate is poor, and personnel training examination is difficult are solved.

The invention relates to an intelligent ship water diversion method and system based on RTK and inertial navigation fusion, and the method comprises the steps: firstly, deploying and calibrating an RTK base station at a wharf commanding height, generating a differential correction in real time, and broadcasting the differential correction to a shipborne end; utilizing RTK surveying and mapping equipment to collect shoreline feature points, adopting a cubic spline interpolation algorithm to construct a continuous and smooth three-dimensional shoreline curve model, and fusing wharf geographic information to generate a shoreline visual map with geographic coordinates; establishing a ship coordinate system, converting inertial navigation attitude data into the coordinate system through a rotation matrix and a translation vector, fusing the inertial navigation attitude data with RTK position data, and outputting a high-precision ship pose; fusion data are transmitted through a 5G network, a shore end converts the fusion data into a local plane coordinate system and generates a real-time dynamic visual interface, the real-time dynamic visual interface is pushed to a tug terminal through an RTSP protocol, water diversion operation is assisted, high-precision perception, visual guidance and shore ship cooperation of the ship berthing process are achieved, and the water diversion safety and the intelligent level are improved.

A river downstream beach erosion risk identification method based on multi-source heterogeneous data fusion comprises the steps of obtaining multi-source monitoring data of a river reach beach, and performing structured processing on the multi-source monitoring data to generate a multi-source structured data table; and performing feature classification on the multi-source structured data table, and performing standardization processing on each category of features to establish a multi-dimensional feature matrix formed by each category of feature sets. And performing feature reconstruction on each category of feature set in the multi-dimensional feature matrix, and splicing and fusing each category of reconstructed features to obtain a comprehensive feature expression. And inputting the comprehensive feature expression into an integrated learning classifier, and predicting risk levels of different shore segments through a Logit loss function and a tree structure regularization mechanism to output risk level labels. And carrying out spatial interpolation calculation on the risk level label to generate a spatial distribution diagram of the beach erosion risk, and outputting a risk level result according to a variable coefficient of the spatial distribution diagram, thereby reducing a distortion phenomenon.

The invention relates to an unmanned aerial vehicle towed body positioning attitude measurement method based on binocular vision positioning, and relates to the technical field of computer processing, and the method comprises the following steps: S01, constructing a measurement system which comprises an unmanned aerial vehicle and a towed body connected with the unmanned aerial vehicle through a cable; the unmanned aerial vehicle carries a GNSS module, an IMU module and a binocular camera, and the upper surface of the towed body is provided with a coding pattern and carries a sonar sensor; s02, establishing a towed body coordinate system by taking the acoustic center of the sonar sensor as an original point, obtaining three-dimensional coordinates of feature points on the towed body in the towed body coordinate system, and generating a three-dimensional space model operation simulation model of the towed body; and S03, the binocular camera is calibrated. According to the invention, the problem of underwater topographic survey of a near-shore high-flow-velocity turbid water area is solved, and high-efficiency, low-cost and high-precision surveying and mapping operation is realized.

The application relates to the technical field of monitoring platforms, and discloses a sea floating type monitoring platform, which comprises six hollow pipes of a floating frame, a floating disc fixedly connected at the center of the floating frame, an extension rod fixedly connected to the lower surface of the floating disc, an anti-swing plate fixedly connected to the lower end of the extension rod, a butt joint seat fixedly connected to the upper surface of the floating disc, a support post threadedly connected to the butt joint seat, a monitoring unit fixedly connected to the top end of the support post, and a solar panel arranged on the outer surface of the monitoring unit. The anti-swing plate with the through hole connected to the floating disc can disperse the water flow impact force, and the anti-swing plate is fixed by cooperating with an anchor hook, so that the platform swing and drift are reduced, and the monitoring stability is ensured. The whole floating frame is hexagonal, a plurality of floating frames can be quickly spliced and combined through end parallel heads, the monitoring coverage range can be flexibly expanded, and the monitoring demand of different sea areas such as near-shore small ranges and far-sea large ranges can be met. Meanwhile, the floating plate can be conveniently disassembled and assembled through the lock pin, and local maintenance and replacement are facilitated.

The invention discloses a target association method based on multi-modal data feature alignment, and relates to the technical field of multi-modal information processing and intelligent decision making. The multi-modal information of the synthetic aperture radar, the high-resolution range profile, the track, the visible light, the infrared, the text, the voice and the like is covered. And through cooperative work of a plurality of intelligent association sub-models, feature extraction and alignment association are performed on different modal data by using deep learning technologies such as a two-dimensional convolutional neural network, a one-dimensional convolutional neural network, a bidirectional long-short term memory network, an attention mechanism and Transform, association similarity is calculated, and pairing mode data is output. The method is applied to the fields of target intelligent identification, resource environment monitoring and the like, has obvious advantages in complex sea conditions, low visibility and multi-interference scenes, can improve the target detection, identification, tracking and early warning capabilities, and provides accurate decision support for safety management and control, emergency disposal, resource monitoring and the like in the fields of shore, sea, air and sky.

The invention, which relates to the edge computing field, discloses an inland ship overwater intelligent navigation aid and navigation information service system comprising: a system integration multi-source sensor for fusing and processing hydro meteorology and obstacle data under low visibility; the side cloud collaboration module processes real-time and global information in a labor division manner, analyzes a rule and optimizes a route; the channel modeling module constructs a real-time three-dimensional channel, and plans and dynamically adjusts an optimal path; the virtual navigation mark module dynamically deploys and manages navigation marks through AIS / Beidou; the information pushing module provides dynamic and static navigation data as required; the risk early warning module realizes graded warning and emergency linkage; the ship-shore cooperation module performs remote monitoring scheduling and channel analysis; the inland river adaptation module ensures that system parameters and algorithms are automatically matched with different river environments and rules. The method has the advantages that the multi-class perception and side cloud cooperation technology is fused, accurate navigation aiding, dynamic risk management and control and ship-shore efficient cooperation of the inland waterway are achieved, and intelligent upgrading of inland navigation is enabled in an all-around mode.

The invention relates to the technical field of ocean remote sensing, in particular to an offshore water quality remote sensing inversion and classification method based on small sample deep learning, which comprises the following steps: acquiring offshore in-situ observation, satellite remote sensing and ocean reanalysis data; carrying out atmospheric correction, carrying out space-time reconstruction on the missing remote sensing reflectivity by adopting a data interpolation empirical orthogonal function, carrying out mathematical transformation on input features, and screening out an optimal feature subset by adopting a strategy based on an average absolute percentage error; constructing a deep learning network based on a generative small sample to invert the offshore soluble inorganic nitrogen and inorganic phosphorus concentration, and determining the water quality grade; and analyzing an inversion mechanism by using an SHAP method. According to the method, the problem of data space-time discontinuity is solved through the data interpolation empirical orthogonal function, the capture capability and inversion precision of the nonlinear relation under the small sample condition are remarkably improved by utilizing the generative network, the model interpretability is realized in combination with SHAP analysis, and scientific support is provided for offshore water quality fine management.

The drainage system comprises a first gate shaft, a second gate shaft and a third gate shaft which are connected in sequence, the upstream side of the first gate shaft is connected with a rainwater convergence connector, the downstream side of the first gate shaft is connected with an inlet of the second gate shaft through a first gate, and the inlet of the second gate shaft is provided with a duckbill valve; water in the second gate shaft is prevented from entering the first gate shaft; the upstream side of the third gate shaft is connected with the second gate shaft through a second gate, and the downstream side is connected with a first sea drainage pipeline through a third gate and used for draining rainwater when the sea surface height is normal. The bottom of the third gate shaft is connected with a second sea discharging pipeline below the third gate shaft through a fourth gate. An upper water storage tank and a lower water storage tank are arranged at the position, lower than the normal water level of the sea surface, of the shore of the land area, the two water storage tanks are detachably communicated, a bottom outlet of the second sea drainage pipeline is connected with the upper water storage tank, and when the sea surface is at the extremely high water level, the third gate shaft drains rainwater into the two water storage tanks through the second sea drainage pipeline.

The invention discloses a night near-shore surface layer suspended sediment prediction method fusing a dynamic model and remote sensing, and relates to the technical field of night suspended sediment prediction, and the method comprises the following steps: obtaining a real-time blue-green ratio based on a real-time remote sensing image; acquiring a first type of historical data; obtaining an image prediction function based on the first type of historical data; acquiring the flow velocity of to-be-detected offshore seawater, and marking the flow velocity as a real-time flow velocity; acquiring a second type of historical data; obtaining a dynamic prediction function based on the second type of historical data; obtaining an image prediction concentration based on the real-time blue-green ratio and an image prediction function; obtaining a power prediction concentration based on the real-time flow velocity and a power prediction function; obtaining a final suspended sediment prediction concentration based on the image prediction concentration and the power prediction concentration; the method is used for solving the problem that the concentration of suspended sediment cannot be accurately obtained through remote sensing at night due to the fact that an appropriate suspended sediment prediction method cannot be set at night based on remote sensing in an existing suspended sediment prediction technology.

The invention relates to the technical field of ocean information processing, in particular to a multi-source ocean live data comprehensive evaluation method and system, and the method comprises the steps: receiving satellite remote sensing data, buoy array data, shore-based radar data and ship terminal data, carrying out the time-space reference unified processing and abnormal value cleaning, and generating a structured data set; calculating a dynamic credibility weight based on a data source type, a real-time transmission delay rate and an environment interference intensity factor, and constructing a data set with the weight; an ocean live fusion data field is generated through a credibility-driven variation fusion algorithm; and comparing a fusion result with independent verification data, constructing a credibility error distribution diagram, identifying a high-error region, and reversely correcting a weight calculation parameter. According to the method, standardized fusion and quality closed-loop feedback of multi-source heterogeneous observation data are realized, the precision and reliability of a fusion result are improved, and the method is suitable for scenes of ocean dynamic modeling, situation analysis, data assimilation pretreatment and the like.

The invention belongs to the technical field of microwave radar image processing, and relates to a wind wave significant wave height inversion method based on a wind wave period, which comprises the following steps: firstly, establishing a significant wave height calculation model taking the wind wave period as input; then, acquiring a sea surface microwave remote sensing image, and performing coordinate transformation, such as preprocessing of a shore-based sea observation radar image, a shipborne navigation radar image, noise suppression and the like; thirdly, inverting a wind wave period from the preprocessed image through a spectrum analysis technology; and finally, substituting the wind wave period obtained by inversion into a pre-established model, and calculating to obtain the significant wave height. According to the method, the wind wave period is introduced to serve as a key intermediate variable, the image features and the sea wave physical parameters are closely associated, the defect that an existing direct inversion method is insufficient in precision and stability is overcome, and an effective wave height obtaining means which is clear in physical significance, high in inversion precision and easy to popularize in a business mode is provided.

The invention relates to the technical field of navigation and positioning, in particular to an unmanned ship attitude-combined positioning mapping method, which comprises the following steps of: acquiring laser point cloud data and ship attitude information; constructing a dynamic height filtering window, and eliminating water surface reflection noise points; density clustering parameters are adjusted, and spatial isolated point clusters are eliminated; positioning and mapping are realized through tight coupling optimization; in the prior art, a fixed threshold filtering scheme is adopted, and inshore structure reservation and long-distance noise elimination are difficult to consider, so that wharfs, reefs and other characteristics in lake surface mapping are mistakenly deleted or a large number of water surface false points are remained; according to the scheme, a ship attitude adaptive dynamic height filtering window is innovatively provided, the filtering boundary is intelligently scaled in a wave disturbance environment through fusion of radar real-time height, point cloud statistics and a horizontal distance segmentation adjustment mechanism, specular reflection false points and wave false point clusters are accurately eliminated, and nearshore topographic features are completely reserved; and the structural integrity and the space authenticity of the water surface map are obviously improved.

The invention provides an unmanned water body ecology detection and treatment system, which comprises an unmanned water surface carrier platform, a multi-dimensional space-time sensing module, a predictive decision processing module, a preventive treatment execution module, a data link module and a shore-based control center, the invention provides a multi-factor fusion decision-making mechanism based on a prediction result and real-time perception, a differentiated and prospective treatment strategy can be automatically generated and executed according to the potential risk level of algae outbreak, and intelligentization and precision of treatment actions are realized. By constructing a model iterative optimization module of the shore-based control center, a complete closed-loop intelligent system capable of self-learning and sustainable evolution is formed, the accuracy and adaptability of long-term operation of the system are ensured, the manual operation and maintenance cost is remarkably reduced, and the system is suitable for large-scale popularization and application. And a systematic technical solution is provided for refined and automatic ecological management of a large-range water area.

The invention relates to the technical field of intelligent channel information, in particular to a coastal channel operation state real-time monitoring and early warning method based on digital twinning. Building a digital twin architecture and fusing multi-source operation data to realize real-time synchronous mapping from a physical channel to a virtual channel; introducing a multi-dimensional mechanism model and a historical mechanism function thereof to drive an AI model to perform function mapping, and constructing a back-silting dynamic prediction model to obtain a navigation risk index of a future leg; a space-time occupation matrix and space-time safety envelope model is constructed based on the navigational speed and course data of nearby ships and the ship, the future ship collision risk is predicted, studied and judged, and a navigation safety index is generated; performing coupling evaluation on the navigation risk and the navigation risk by using a marginal dependence distribution model to form a comprehensive risk and trigger dynamic early warning; and issuing early warning information and auxiliary decisions through the shipborne terminal and the VTS center. According to the invention, a complete ship-shore-cloud cooperative digital twin system is constructed, and global digital and intelligent management of coastal channels is realized.

The invention provides a dynamic monitoring system and method for a submarine optical cable array reservoir, which is applied to the technical field of marine geophysical prospecting, and comprises a wet-end subsystem positioned underwater and a dry-end subsystem positioned on a base bank, the dry end subsystem comprises a light source module used for generating an optical signal; the modulation transmitting module is used for modulating the optical signal to obtain modulated pulse light; the underwater wet end subsystem comprises an optical cable transmission module used for transmitting modulation pulse light; the optical fiber four-component node module is used for dynamically and continuously monitoring the reservoir for a long time, and modulating the acquired sound pressure signal and the triaxial vibration signal onto the modulated pulse light in response to the received modulated pulse light to form a return light signal; the dry end subsystem further comprises a modulation-demodulation module used for receiving the return optical signal and demodulating the return optical signal to obtain four-component monitoring data. According to the invention, sound pressure and three-axis vibration response can be integrated on the same node, and passive four-component synchronous acquisition is realized.

The invention relates to the technical field of environment monitoring, in particular to a physical and chemical factor coupled nearshore denitrification process influence factor analysis method, which comprises the following steps: S1, collecting a nearshore environment sample, and obtaining a physical and chemical factor data set; s2, on the basis of the physical and chemical factor data set, calculating the coupling strength between the physical and chemical factors, and generating a coupling strength matrix; s3, performing dimension reduction processing on the coupling strength matrix by adopting a principal component analysis method, and determining a key influence factor list; s4, analyzing the contribution degree of each dominant factor to the denitrification rate based on the key influence factor list, and generating a contribution degree analysis result; s5, according to the contribution degree analysis result, an influence factor analysis report of the nearshore denitrification process is output, and the analysis report comprises key influence factor sorting and optimization suggestions. The method provides intelligent and data-driven auxiliary decision support for coastal ecological restoration and water quality improvement, and has good popularization and application prospects.

This invention discloses an intelligent shore-based rescue method, system, and computer-readable medium. The method involves a first device determining the respective rescue routes of a drone and an unmanned vessel based on a user's distress call. The drone conducts a search and rescue operation according to its route, generating the current location of the person in the water. The first device detects the consciousness state of the person in the water based on real-time image data collected by the drone at the current location. Then, based on the detection results, different surface rescue tasks are performed on the person in the water according to the determined rescue method. Therefore, this embodiment determines different rescue methods based on the consciousness state of the person in the water, which not only enables rapid rescue but also improves the success rate of rescue. This provides an automated rescue solution with intelligent perception, precise positioning, and rapid response, solving the technical problem of low rescue rates for people in the water due to mismatched rescue methods, inaccurate positioning, or untimely rescue in existing technologies.

1. Name of this design product: Shore-based signal drifter. 2. Purpose of this design: To monitor fish bite signals and trigger an alarm when a fish is hooked. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The invention provides a floating fan active ballast system and a control method thereof. The system comprises a sensing module, a control module, an execution module, a power supply module, a shore-based remote control module and a communication module. The sensing module collects platform attitude and in-cabin liquid level data in real time through a multi-redundancy sensor; the control module adopts a triple-redundancy architecture and generates a load adjusting instruction in combination with an intelligent algorithm; the execution module realizes accurate allocation of ballast water through cooperative operation of a redundant water pump and a valve; the power supply module adopts a dual-power design to ensure continuous power supply; the shore-based remote control module realizes remote monitoring and maintenance; the communication module guarantees data interaction and instruction transmission. The single-point fault resistance of the system is improved through multi-redundancy design, high-precision and quick-response attitude adjustment is realized by combining intelligent and adaptive control, and meanwhile, multiple operation modes are integrated, so that the reliability and safety of the system in a complex marine environment are ensured.