668 results about "Water depth" patented technology

The invention relates to the technical field of exploration, and discloses a water depth inversion method and system based on a multispectral remote sensing image, which utilizes an independent verification sample set to carry out hierarchical precision evaluation, and analyzes model performance differences according to dimensions such as a water depth range and a substrate type. Error propagation of links such as atmospheric correction and water level correction is quantified through full-chain uncertainty analysis, an uncertainty quantification model of ensemble learning is constructed, and a pixel-level precision distribution diagram is generated. Therefore, according to the technical scheme, a closed-loop dynamic adaptation framework is formed by systematically integrating multi-temporal data dynamic modeling and an uncertainty quantification mechanism, a spatio-temporal variation compensation mechanism is embedded in the whole process from data acquisition to result verification, the interference of spatial-temporal heterogeneity of water optical characteristics on water depth inversion is effectively dealt with, and the accuracy of water depth inversion is improved. The problems of parameter mismatch and precision reduction of the water depth inversion model caused by dynamic change of optical characteristics of a coastal water body in seasonal and tidal scales are solved.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention relates to the technical field of ship energy efficiency analysis, and particularly discloses a digital twinning-based bulk carrier EEDI pre-evaluation and design optimization method and device, and the method comprises the steps: carrying out the multi-source data collection, building a ship full life cycle database, building a high-precision digital twinborn body based on transfer learning calibration, coupling target port tide time series data, and carrying out the design optimization. The influence of dynamic water depth and water flow changes on a ship navigation strategy is simulated, the whole-course navigational speed is optimized to reduce the total oil consumption, a hull biological pollution bottom growth model is introduced into energy efficiency evaluation, the energy efficiency attenuation trend of the whole life cycle of the ship is predicted, and an operation EEDI index is generated through multi-physics coupling simulation. And multi-target collaborative optimization is carried out in combination with maneuverability safety evaluation, so that the problems that traditional EEDI evaluation is separated from actual operation conditions and neglects tidal window matching and hull energy efficiency attenuation are solved, and accurate prediction and collaborative optimization of the energy efficiency and safety of the whole life cycle of the ship from a design stage are realized.

The invention discloses an underwater delta erosion and deposition evolution analysis method based on water depth data, and relates to the technical field of ocean engineering, the underwater delta erosion and deposition evolution analysis method comprises the following steps: collecting section actually measured water depth data, remote sensing data and hydrological data over the years of an underwater delta in a research area, and preprocessing to unify a coordinate system and an elevation datum; and establishing a water depth database of the underwater delta of the crossheading petals by utilizing the preprocessed actually measured water depth data, and covering all stages of the construction period and the discarding period. According to the method, multi-temporal remote sensing data and section actually-measured water depth data over the years are integrated, a space-time continuous database covering the whole period from the construction period to the discarding period is constructed, seven-parameter coordinate conversion and the Kriging interpolation technology are combined, a data missing area is effectively filled up, a continuous water depth surface with the spatial resolution smaller than or equal to 50 m is generated, and the method is suitable for large-scale popularization and application. Dynamic monitoring limitation caused by data faults in traditional research is broken through, erosion and deposition evolution analysis is changed from fragmented observation to systematic tracking, and data support is provided for accurate evaluation of seabed stability.

The invention relates to a water depth estimation method of a KAN network based on self-adaption and physical constraint, and belongs to the technical field of remote sensing data processing. Grades are divided according to different water body turbidity, different KAN expert networks are adopted for different grades to learn the complex nonlinear relation between B3 and B4 wave band reflectivity and water depth, and KAN initial model parameters corresponding to different grades of water bodies are obtained through independent self-adaptive training; taking the B3 and B4 wave band reflectivity after normalization processing as input, selecting a corresponding KAN network model according to the water turbidity grade, and outputting predicted water depth; and training the KAN network by using the physical constraint loss function L, and finally extracting an interpretable mathematical inversion formula of the wave band reflectivity and the water depth after the training is completed. Through deep fusion of B3 / B4 waveband spectral characteristics of the KAN, a remote sensing technical solution with high precision, low cost and strong adaptation is provided for dynamic monitoring of the water depth of the shallow water area.

The invention discloses an intelligent water depth measurement method for waterway maintenance of a water transportation project, and particularly relates to the technical field of water conservancy projects. Historical sounding data, meteorological and hydrological parameters, real-time sonar echo data and unmanned surveying ship path information of the target channel area are acquired; a multi-source sounding data fusion model is constructed, and heterogeneous data fusion is realized by adopting wavelet domain feature extraction, remote sensing delay compensation and a graph attention mechanism; constructing a water depth evolution characteristic spectrum based on multi-scale spatial domain characteristic extraction; modeling a water depth propagation relationship between the sounding units by using a graph neural network; projecting the evolution graph to a section grid, and outputting a continuous water depth prediction value in combination with residual error correction and a rolling prediction strategy; identifying a water depth deviation by comparing with a designed navigation depth, and constructing a risk map layer; the method has the advantages of high prediction precision, strong adaptability, good response real-time performance and the like, and can be widely applied to scenes of channel siltation monitoring, scouring early warning, shipping maintenance management and the like.

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 utility model discloses a water depth adjusting device of a test pool, and relates to the technical field of deepwater test pools. Comprising a floating bottom body, a lifting mechanism, a jacking device and a distributed detachable platform, each lifting mechanism comprises a winch, a steering pulley and a steel wire rope, one end of the steel wire rope is connected with the winch, and the other end of the steel wire rope bypasses the steering pulley at the bottom of the deepwater experiment pool and is connected with the floating bottom body; the jacking device comprises an air cylinder, a connecting shaft, a guide wheel and a base, the air cylinder located on the base is connected with the guide wheel through the connecting shaft, and the guide wheel is connected with the guide sliding groove of the floating bottom body in a clamped mode; the jacking devices are symmetrically arranged on the two sides of the floating bottom body. The distributed detachable platform is laid on the floating bottom body through the connecting support. The device can meet the water depth requirement in an ocean engineering experiment, meet the ground elevation requirement in a civil engineering experiment and a wind tunnel experiment, and meet the requirement that the floating bottom does not move, rotate or get stuck in the operation process of experimental equipment.

The invention provides a river sediment physical habitat evolution identification method, device and system and a medium. The method comprises the following steps: acquiring a multi-temporal remote sensing image and hydrological data (flow Q, water level Zw and slope S), screening and other hydrological condition image pairs; extracting a water surface range, and calculating the average width B of the main groove; deducing the average water depth h by using a Manning formula, and calculating the riverbed elevation zbed by combining the Zw; the difference value delta zbed of zbed in different periods is calculated, and the substrate state is judged according to the difference value delta zbed and a threshold value epsilon; and performing segment processing along the center line to output a spatial distribution result. On-site measurement is not needed by relying on conventional data, and consumption is reduced; water level interference is eliminated through equal hydrological condition matching, and comparability is ensured; water depth inversion and differential analysis directly reflect scour deposition and quantitatively reveal rules; long-distance automatic processing improves space-time coverage capability and precision, and provides a basis for river regulation, ecological restoration and drainage basin management.

The invention discloses a device for simulating influence of ditch cleaning ice cover evolution on hydrodynamic parameters and an application method thereof, and relates to the technical field of ice water dynamics and hydraulic engineering experiments. The device comprises a low-level water tank, a high-level water tank, a centrifugal pump, a flow valve, a water tank, a steady-flow perforated plate, a ditch cleaning ice cover simulation device, a first water level control grid plate, a second water level control grid plate and a flow field measurement system. According to the invention, three key parameters of ditch cleaning length, ice cover submerging water depth and roughness of the bottom of the ice cover are independently regulated and controlled, and non-contact high-precision measurement is carried out by means of a PIV technology, so that systematic and refined research on hydrodynamic parameters of an ice cover ditch cleaning area is realized. According to the method, researchers can safely and systematically research the influence of a single variable on the ice cover ditch cleaning water power at low cost, and the fundamental bottleneck of traditional field measurement in the research is solved.

The invention relates to the technical field of monitoring equipment, in particular to a hydrology and water resource automatic monitoring system and method.The hydrology and water resource automatic monitoring system comprises a floating module, a monitoring module and a regulation and control module, and when hydrology data monitoring needs to be conducted on a water area with the high flow speed, the overall length of a connecting module is adjusted according to the water depth; the monitoring module can reach the specified depth when the floating module floats on the water surface, the monitoring module monitors hydrological data of water at the specified depth, the regulation and control module is provided with a first regulation and control assembly and a second regulation and control assembly, the first regulation and control assembly is used for stabilizing the state of the monitoring module when water flow impacts the monitoring module, and the second regulation and control assembly is used for stabilizing the state of the monitoring module when water flow impacts the monitoring module. The probability that the monitoring module shakes is avoided, and then the probability that the floating module overturns is avoided; and the second regulation and control assembly is used for prolonging the contact duration of the water at the specified depth and the monitoring module, so that the interference of the water flow on the monitoring module is reduced, and the hydrological data monitoring accuracy of the monitoring module is improved.

The invention discloses a method for calculating the opening and closing force of a miter gate based on the stroke acceleration of a hoist. According to the method, relevant parameters of the ship lock miter gate are obtained, the hydrodynamic resistance moment caused by the water level difference during opening and closing operation of the miter gate is calculated through a hydrodynamic resistance moment calculation formula considering the stroke acceleration of a miter gate hoist, then the maximum total resistance moment during opening and closing operation of the miter gate is calculated, and finally the opening and closing force of the miter gate is calculated. According to the calculation method, the dynamic water resistance moment can be calculated by directly using the gate submerging water depth, the gate door leaf width, the water level difference value and the stroke acceleration of the hoist, so that the opening and closing force is calculated, the process of converting the water level difference into the pressure intensity is omitted, and the influence of the stroke acceleration of the hoist is increased; and a more convenient calculation method is provided for estimating whether the maximum opening and closing force for opening and closing the gate exceeds the rated capacity of the hoist or not when the operation mode of the gate of the ship lock is changed.

The invention relates to the technical field of underwater topographic surveying and mapping, in particular to a sea area water taking channel scanning survey method and system based on multi-beam measurement, and the method comprises the following steps: constructing a rigid support, fixing a depth finder through a three-way cable fastening device, and building a Boolean parameter model; sound velocity, tide level and original echo data are collected; performing space-time registration, coordinate conversion and filtering denoising on the data to generate corrected water depth; and constructing an irregular triangulation network by using hard boundary constraint, generating a digital elevation model, and extracting a siltation area. According to the invention, multi-beam wide sector scanning and multi-sensor attitude correction technologies are fused, a limited water area full-coverage measurement system is constructed, and the problems of terrain blind areas and detail loss are solved. A boundary constraint reconstruction algorithm is utilized to realize closed-loop processing from coordinate reference unification to micro-landform restoration, the accuracy of channel bottom pit capture and edge topography expression is improved, and data support is provided for sedimentation analysis.

The invention relates to the technical field of water environment monitoring and water ecological protection, solves the technical problem that hydrology, water quality, vegetation and bottom mud monitoring are mutually dispersed and are difficult to correspond in the prior art, and particularly relates to a lakeside microenvironment composite monitoring pile and an ecological disturbance evaluation method. The composite monitoring piles sequentially comprise an overwater area, a variable water level zone monitoring area and an underwater area in the vertical direction, the bottoms of the composite monitoring piles are fixed to bottom mud, the multiple composite monitoring piles are arranged according to the water depth gradient of 0-20 cm, 20-50 cm and 50-100 cm, a hydrodynamic force disturbance index and a microenvironment response index are established by comparing base line and disturbance working condition monitoring results, a composite ecological disturbance index is established, and the water level zone monitoring area and the water level zone monitoring area are located in the bottom mud. The method is used for quantitatively evaluating lakeside disturbance intensity and engineering measure effects. According to the method, quantitative and graded evaluation of the ecological disturbance degree of the lakeside zone is realized, and a scientific basis is provided for lakeside zone revetment form optimization, ecological restoration measure arrangement and water function zone management.

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 simplified test natural river ice section flow calculation method, which belongs to the technical field of hydrological test, and comprises the following steps: dividing a section into a plurality of strip units; calculating the effective water depth of each measuring point according to the water depth and the water immersion ice thickness of the measuring point corresponding to each strip unit; calculating the area of each strip unit according to the effective water depth at each measuring point; according to the area of each strip unit, the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip units are calculated respectively; according to the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip unit, the relative unit width flow of the sections on the left side and the right side of the strip unit is calculated, and then the comprehensive relative unit width flow of the strip unit is calculated; and calculating the total flow of the section according to the proportional relation between the comprehensive relative unit width flow and the actual unit width flow of the strip unit. According to the method, the full-section flow can be reversely deduced through a small amount of observation, so that the ice period flow testing process is simplified.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

According to the SARIMA prediction-based inland river navigation draught optimization management and control method for the ship with the overrun draught, a multi-source time sequence data set is obtained and preprocessed to obtain an input time sequence set, and the input time sequence set is processed through a constructed SARIMA model to obtain a water level prediction sequence; a ship dynamic draught prediction sequence is obtained through the constructed ship dynamic draught model based on water level prediction sequence processing, a draught safety margin judgment operator is constructed to carry out draught safety margin evaluation and risk grading, and finally a draught optimization management strategy is solved through the draught optimization management model and issued. A ship draught control closed-loop chain of prediction-calculation-evaluation-optimization-feedback is formed, through deep coupling of SARIMA time sequence prediction, ship dynamic draught calculation and draught optimization management, prospective recognition and dynamic regulation and control of draught safety margin of a draught overrun ship are achieved, and under the premise of guaranteeing navigation safety, the ship draught safety margin is effectively controlled. And the water depth utilization efficiency of the inland waterway and the ship loading efficiency are greatly improved.

The invention discloses a land-based data automatic receiving and preprocessing management system and method, and relates to the technical field of ocean observation data processing, and the system comprises a communication service subsystem, a data preprocessing subsystem, an intelligent perception linkage subsystem, and a data management subsystem. And full-process automatic processing of underwater acoustic real-time communication subsurface buoy observation data is realized through modular integration. Automatic receiving, safe storage and efficient preprocessing of deep sea power and biogeochemical element data are achieved, reliable data support is provided for marine scientific research and environment monitoring, and the long-term observation requirement of a 6000-meter water depth subsurface buoy system is met.

The utility model discloses a recoverable impact type sounding system device, and belongs to the technical field of geological exploration equipment. The device is composed of a take-up and pay-off winch, a guide pulley, an ejection device, an impact sounding probe and a measurement and control cable. A winch is automatically controlled through a winch control unit, the take-up and pay-off speed is fed back and adjusted through a tension sensor, and dual-mode control is adopted for different operation water depths of 0-5 m and 5-50 m. The ejection device energizes the probe through the energy storage spring, and the locking mechanism achieves automatic locking and releasing. The impact sounding probe adopts a standard structure and is provided with various sensors, so that data can be stably acquired and wirelessly transmitted. The device can accurately control probe putting, is suitable for operation at different water depths, has good recoverability, effectively overcomes the defects of traditional sounding equipment, and improves the efficiency of geological exploration and the accuracy of data.

The utility model discloses an algae removal tool with self-adaptive capability, which is used for stripping algae from a river slope and is provided with an algae removal shell with a downward opening, rolling brushes are mounted in the algae removal shell at intervals, and the lower ends of the rolling brushes protrude out of the algae removal shell downwards; the algae removal shell between the two rolling brushes forms an algae collection cavity, and the two rolling brushes rotate relatively and are connected with brush driving mechanisms in a one-to-one correspondence manner; a plurality of universal wheels are mounted at intervals in the circumferential direction of the algae removal shell, and the bottom ends of the universal wheels are lower than the bottom end of the algae removal shell; the algae removal shell is provided with an angle adjusting structure and a depth adjusting structure, and the angle adjusting structure is used for enabling the algae removal shell to adapt to inclination angles of different river side slopes; and the depth adjusting structure is used for enabling the algae removal shell to adapt to water depths of river side slopes at different positions. No matter what inclination angle of the river slope is, the angle adjusting structure can automatically adapt to the inclination angle of the slope through stretching and retracting of the two first springs. When the water depth changes, the universal wheels can be pressed on the river bank slope through compression and expansion of the second springs.

The invention relates to the technical field of ocean observation, in particular to an ocean power and biochemical element observation system aiming at different observation requirements, which comprises a submersible specimen body, an intelligent sensing module, a multi-mode communication module, a multi-element observation module and a main control module, the technical problems that an existing observation system is incomplete in communication architecture, lack of intelligent perception, insufficient in multi-element synchronization, low in data transmission reliability and poor in adaptability are solved, and full-water-depth, multi-scene and high-precision ocean power and biochemical element collaborative observation is achieved.

The invention discloses a silty silt seabed critical start calculation method considering seabed liquefaction influence, and belongs to the technical field of silt dynamic simulation and calculation. The method comprises the following steps: firstly, acquiring wave parameters such as wave height, period and water depth, and calculating a characteristic Reynolds number based on a Stokes wave theory; in combination with field observation or indoor test data, the liquefaction grade is calculated through an empirical function, and the bed state is divided; then according to the liquefaction grade, the sediment erosion coefficient and the critical starting stress are corrected in an index form; and finally, correcting empirical coefficients by using field and indoor data, and constructing a regional correction coefficient table. The method can accurately reflect the influence of liquefaction on sediment starting, the accuracy of the calculation result is improved compared with that of a traditional method, the method can adapt to different sea area environments, operation is easy and convenient, and a reliable basis is provided for offshore engineering design and sediment movement prediction.

A system for determining minimum and maximum water depth value at a location on a body of water is provided. The system utilizes various data sources, including historical and community-sourced data, environmental data, geographical data, and sensor data, to provide an accurate and dynamic estimation of the minimum and maximum water depth value. By considering multiple factors affecting water depth, such as tides, and weather conditions, the system enables safer navigation. Users can input a location and receive the minimum and maximum water depth value, which is continuously updated based on the latest available data. The system also facilitates route planning by determining the minimum water depth values along a route and providing alerts when necessary, allowing users to make informed decisions and navigate safely. By leveraging diverse data sources, the system provides a comprehensive and reliable solution for determining minimum and maximum water depth values compared to existing systems.

The invention relates to an intelligent simulation assimilation method and device for ponding depth based on a diffusion model, and the method comprises the steps: giving full play to the advantages of the diffusion model based on a Bayesian theory and a data assimilation thought, and achieving the efficient correction of a flood model state through the limited real-time ponding monitoring data; by solving the logarithmic gradient of a posterior distribution function and guiding the sampling process, prior distribution and real-time observation information are effectively fused, so that the regional ponding state is stably estimated under the condition that monitoring points are sparse, error accumulation in model rolling calculation is remarkably inhibited, and the business precision and practicability of urban flood deduction are improved. Therefore, the problems that in the prior art, a systematic intelligent simulation-assimilation fusion system is not formed yet, and error accumulation in model rolling calculation is difficult to restrain are solved.

The invention discloses a calculation method of a compound section river channel beach and groove excess flow ratio considering vegetation influence. According to the method, the section of the riverway is divided into the vegetation area and the non-vegetation area based on measured data, the vegetation density, the stalk diameter, the underwater height and other characteristic parameters are obtained, and the roughness of the riverway under the vegetation condition is deduced by introducing the vegetation additional water blocking area. After a river section is divided into vegetation areas on the two sides and a non-vegetation area in the middle, the water passing area and the average water depth of each area under the typical water level are calculated respectively, then the excess flow of each subarea is calculated, and finally, the excess flow ratio of the flood plain to the main channel is expressed through the ratio of the excess flow of the vegetation areas to the excess flow of the non-vegetation areas. The method is simple and feasible, and can be used for river flood control and treatment.

The invention relates to an ocean sensor technology, in particular to a temperature and salt sensor and a real-time error compensation method thereof, and the compensation method comprises the following steps: synchronously collecting temperature data, conductivity data, water depth pressure data and auxiliary environment parameters of seawater; calculating the movement speed of the equipment through the pressure variation of the adjacent sampling points; decomposing the error into a horizon deviation error, an environment interference error and an equipment movement speed related error; on the basis of an error decomposition result, calculating compensation parameters through a multivariate error model, and performing two-dimensional compensation on the temperature data and the conductivity data according to the compensation parameters, including time matching compensation based on sensor response time difference and correction for environmental parameter influence; based on the corrected temperature and conductivity data, the salinity is calculated through a standard seawater state equation according to the ITS-90 temperature standard and the PSS-78 salt standard, and therefore the measurement precision and stability are remarkably improved.

The invention relates to the field of intelligent shipping, in particular to a ship route tidal window passage calculation method and system, and the method comprises the steps: obtaining the navigation parameters of a ship and the hydrological geographic information of a target route; calculating the minimum safe water depth required by the ship in the sailing process based on the sailing parameters; predicting the tidal height change of at least one tidal point on the target route in a period of time in the future based on the hydrological geographic information; the actual water depth change of the tidal point in a period of time in the future is dynamically determined in combination with the tidal height change and hydrological geographic information; performing comparative analysis on the actual water depth change and the minimum safe water depth, and generating one or more passable time windows of the tidal point according to an analysis result; and outputting a passable time window for ship navigation decision. According to the method, multiple factors such as ship sinkage, waves, ship swing and safety reserve are comprehensively considered, the dynamically calculated minimum safety water depth is more scientific and comprehensive, and risks possibly brought by fixed safety margin are avoided.

The invention discloses a real-time monitoring and analyzing method and system for underwater settlement deformation, and belongs to the technical field of marine surveying and mapping and deformation monitoring. The method comprises the following steps: calculating wave height, wave period and wave direction elements of waves through a water surface fluctuation inversion model; carrying out denoising processing on the obtained water depth data; a gyroscope and a GNSS buoy are used for dynamic wave measurement, and sea level and wave information is separated through low-pass filtering according to the frequency spectrum characteristic difference of the sea level and waves so as to correct the attitude of the buoy; the buoy measurement data and the water depth data collected by the pressure sensor are synchronized, the water surface height right above the measurement pile is calculated in combination with a water surface fluctuation inversion model, and the real-time elevation of the water bottom is obtained; and according to the water bottom real-time elevation and the water bottom settlement grade division standard, triggering early warning of a preset grade through the data cloud platform. According to the invention, real-time monitoring of underwater settlement deformation is realized, the monitoring period is shortened, the monitoring timeliness is improved, and the underwater settlement risk is found in time.

The invention relates to the technical field of deep sea communication and ocean observation, in particular to a long-term stable real-time communication system based on domestic satellites under high sea conditions. Comprising a submerged buoy body, the submerged buoy body is provided with a communication floating body module, a multi-source domestic satellite communication module, a low-power-consumption control module and a data processing module which are electrically connected in sequence, and an intelligent sensing module and an underwater data access module which are respectively connected with the data processing module; the device further comprises a main floating body. The system can be widely applied to deep-sea subsurface buoy platforms, marine environment monitoring stations, deep-sea scientific investigation equipment and other scenes, realizes real-time transmission of hydrodynamic and biogeochemical multi-element synchronous observation data at the water depth of 0-6000 meters, and supports research on the dynamic process of isolated waves, near-inertia internal waves and the like in the ocean and safety guarantee of the marine environment.