303 results about "Tide level" patented technology

The invention discloses a coastal protection dam settlement monitoring method, and belongs to the technical field of hydraulic engineering safety monitoring. The method comprises the steps that a longitudinal monitoring section is arranged on the slope surface of the back sea side of a dam, a three-measuring-line fiber grating sensor array is arranged, and vertical displacement and horizontal dip angle data are periodically collected through a synchronous triggering unit; establishing a vertical displacement-horizontal dip angle joint analysis model by using a multi-source data fusion module, and eliminating tide level interference through a Kalman filtering algorithm to generate a settlement distribution curve; and triggering third-level to first-level early warning signals based on the grading early warning rule, and transmitting the signals to the terminal equipment. The problems that a traditional monitoring method cannot effectively separate tidal interference, the real-time performance is poor, and multi-dimensional data collaborative analysis is insufficient are solved, high-precision settlement monitoring, complex environment anti-interference and rapid emergency response are achieved through multi-measuring-line sensor deployment, dynamic filtering optimization and a graded early warning mechanism, and the method is suitable for large-scale popularization and application. And the reliability and timeliness of dam safety monitoring are obviously improved.

The invention belongs to the technical field of crossing of environmental engineering and ocean dynamics, and particularly relates to a tidal dynamics prediction method and control device for a seawater desulfurization system, and the method comprises the steps: constructing a time-space coupling prediction model fusing multi-source hydrological observation data, and introducing a nonlinear dynamic weight distribution mechanism; the influence of terrain constraint, wind stress disturbance and upstream runoff on tidal propagation is quantified in real time, and a rolling prediction sequence of tide level phase, flow velocity gradient and salinity disturbance in the next three hours is output; the prediction result drives the scheduling of a desulfurization pump set, the adjustment of spraying density and the matching of aeration intensity, and the model weight is corrected on line based on the actually measured feedback of desulfurization efficiency to form closed-loop control. By means of the technical scheme, accurate cooperation of the operation parameters of the desulfurization system and tidal dynamics is achieved, meaningless energy consumption is reduced while the desulfurization efficiency is guaranteed, and the utilization rate of the desulfurization agent and the stability of the system are improved.

The present disclosure provides a method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and belongs to the field of remote sensing water depth retrieval. Aiming at water depth retrieval precision reduced by blue-green light and a tidal height in a remote sensing water depth retrieval process, the model fully considers a linear correlation between an attenuation ratio of the blue-green light in water and a depth, the smoothness of the tidal height, and the characteristics of consistent convergence, first-order continuous derivation and second-order continuous derivation of the tidal height with time change, and constructs the method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and according to Molokai experiment verification, compared with an early model, the invention improves the remote sensing water depth retrieval precision.

The invention relates to an ecological landscape type disaster reduction seawall, the section form of the seawall is a gentle slope into-sea multi-stage composite type, and the seawall structurally comprises a seawall foot on the seaside, a first-stage planting platform, a gentle slope, a second-stage planting platform, a waterside platform, a wave wall and a road which are sequentially arranged from sea to land; on the basis of ensuring safety, the seawall is subjected to ecological landscape design, so that the seawall can play roles in intercepting silt and purifying water; the effects of weakening wave energy and reducing marine disaster threats can be achieved; and meanwhile, the hydrophilicity of the seawall can be improved, and a leisure activity space is provided for people. The invention further relates to a design method of the ecological landscape type disaster reduction seawall and a method for determining the crest elevation of the ecological landscape type disaster reduction seawall. The section form of the seawall can be determined according to the wave height and the height difference between the sea level and the road surface, the crest elevation of the seawall can be effectively reduced, the engineering cost is reduced, and the seawall ecological function is increased.

The invention relates to a high-dimensional statistics and hydrodynamic force coupled flood risk assessment method and system. The method comprises the following steps: acquiring historical observation data covering river flow, tide level and rainfall events; constructing a univariate marginal distribution function; connecting the univariate marginal distribution functions of the river flow, the tide level and the rainfall event, and simulating a joint probability distribution function; coupling the joint probability distribution function with the mechanism model to obtain a probability-mechanism coupling model; inputting the determined joint probability boundary condition into a probability-mechanism coupling model, simulating to obtain composite flood scenes in different return periods, and comparing the composite flood scenes with single variable flood scenes in different return periods; and quantizing the contribution of each variable to the change of the submerging area by using the obtained submerging area and the corresponding rainfall event, river flow and coastal tide level data. According to the method, the defect that traditional single-factor evaluation cannot capture multi-factor interaction is overcome, and the accuracy of flood disaster evaluation is greatly improved.

The invention discloses a non-point source pollution emergency bypass decision control method, particularly relates to the technical field of automation and process control, and aims to solve the problems that existing scheduling cannot align multi-source measurement and evaluate credibility in minutes under a unified time base, and is lack of risk measurement integrated with a tide level phase and a moisture regain path and same-layer gating. The bypass rhythm is easy to misjudge, and the oscillation is difficult to audit. A minute-level risk density is constructed through multi-source alignment and credibility grading under a unified time reference, injected tide level phases and moisture regaining paths, bypass rhythms are constrained by same-layer gating and tide windows, and beam search, boundary arbitration and fixed window closed-loop correction are matched, so that the risk density is improved. Therefore, under the superposition of rainstorm and tide, decision making and execution are stably limited in a non-backflow red line, bearing and equipment limit, misjudgment and oscillation are remarkably reduced, the problems of unavailability and difficult auditing caused by multi-source asynchronization and moisture regain coupling are solved, intelligent decision support is provided for non-point source pollution treatment, and it is ensured that the treatment technology is accurate and efficient.

The invention relates to the technical field of coastline extraction, and particularly discloses a coastal intertidal zone waterline remote sensing extraction technology based on tide level data, which comprises the following steps: S1, acquiring a remote sensing image based on an earthplorer and a copernicius website and preprocessing the remote sensing image; s2, extracting an instantaneous waterline of the remote sensing image by using an NDWI index and a Canny operator to obtain an extraction result; s3, according to an extraction result, discretizing the obtained waterline, and by establishing a function relationship between a discrete point location and a tide level, obtaining an average large tide line so as to determine a preliminary coastline; and S4, correcting the coastline through visual interpretation to obtain a final coastline, and carrying out precision test. According to the coastline extraction method, the NDWI index and the Canny algorithm are used, visual interpretation and an automatic extraction method are combined, the waterline is discretized to determine the position of the average large tide line, and finally the more accurate and efficient coastline extraction method is obtained.

The invention discloses a tidal reach water level and flow relation analysis method based on tidal level harmonic analysis. The method comprises the steps of collecting actually measured water level data, basin river topography and digital elevation data of a tidal reach hydrologic station; characteristic parameters and water surface elevation change characteristics of all partial tides of the tide level of the tidal river reach are obtained on the basis of tide level harmonic analysis, and then independent tide flow and river runoff flow are obtained; establishing a tidal reach one-dimensional hydrodynamic model, and analyzing a flow change process and a water level flow change relation under different water level change scenes; and analyzing the contribution degree of the tidal flow and the river runoff to the actual flow and the change process by utilizing a multivariate regression analysis and drift diameter analysis method to obtain the change characteristics of the water level and flow relationship of the tidal reach. The method has the advantages that the water level and flow relation of the tidal reach can be rapidly analyzed, complex estuary hydrodynamic process simulation is not needed, and the method is also applicable when actually measured flow data is lacked.

The invention relates to the technical field of mobile edge computing, in particular to an ocean communication processing method and system based on mobile edge computing, and the method comprises the following steps: obtaining submarine topography information and node capability parameters, computing node deployment adaptation indexes, extracting signal intensity and angle changes, obtaining a link offset trend, and identifying power and packet loss abnormal regions. Generating path reconstruction parameters, adjusting a network structure in combination with tide level changes, and obtaining a communication task scheduling result according to entity behavior characteristics. According to the method, the adaptability of the node site selection environment is evaluated by analyzing the topographic features and the node capacity, the deviation trend is jointly recognized through signals and angle data, the pre-judgment capacity of link abnormity is improved, the network structure is dynamically adjusted in combination with the tide level change, and the stability of the communication network structure is optimized; and task scheduling grading is driven by adopting communication entity behavior characteristics, so that the accuracy of resource allocation and the regional regulation and control efficiency are improved, and the self-adaptive regulation and control capability in a dynamic environment is realized.

The invention discloses an oscillating water column array fan coupling power generation device capable of adapting to tide level changes, belongs to the field of energy utilization equipment, and solves the problems that in the prior art, the wave energy flow density of partial sea areas is low, and the power generation efficiency of an existing OWC wave energy conversion device is low. According to the technical scheme, an inner cavity is formed in the shared gas chamber; a plurality of oscillating water columns are arranged; each oscillating water column is a hollow tubular column body with openings in two ends, and the opening in one end of each oscillating water column is communicated with the inner cavity of the shared air chamber; and the inner cavity of the shared air chamber is communicated with the power input end of the turbine device. The system has the beneficial effects that multi-element energy utilization is realized, and different natural resources are fully utilized. And the volatility of the power system is reduced. When the output of the wind energy or the wave energy is unstable, the other energy may be in a high-output state, so that the power supply of the system is balanced, and the instability of the power system is reduced.

The invention relates to the technical field of sediment section sluicing, in particular to a sediment section sluicing change prediction method under the influence of a water gate. Acquiring a current erosion and deposition topographic sequence corresponding to the target gate at the current moment, and acquiring future rainfall-runoff data, future upstream and downstream water level difference and future tide level change data corresponding to the target gate within a future preset duration; determining future gate scheduling data corresponding to the target gate based on the future rainfall-runoff data, the future upstream and downstream water level difference and the future tide level change data; and inputting the current erosion and deposition topographic sequence, the future rainfall-runoff data, the future upstream and downstream water level difference, the future tide level change data and the future gate scheduling data into a preset erosion and deposition change prediction model, and outputting the silt fracture surface erosion and deposition change corresponding to the target gate in the future preset duration. And timely and reliable technical support is provided for hydraulic scheduling and risk management, and safe and efficient operation of the estuary tide gate is achieved.

The invention discloses an ecological shoreline diagnosis method and system based on hydrological-biological communication, and is applied to the technical field of water environment ecological restoration and shoreline health assessment. Comprising the following steps: dividing intertidal zones of a shoreline research area, and generating uniformly distributed sampling points in each tidal zone; extracting a plurality of indexes related to hydrological and biological connectivity, and constructing a comprehensive hydrological-biological connectivity state index through principal component analysis; dam feature data of a shoreline area are obtained, correlation analysis and collinearity screening are carried out, and key shoreline features are screened through a random forest algorithm; constructing a mechanism connectivity index based on a circuit theory; constructing and training a Bayesian network prediction model; and performing connectivity state diagnosis, attribution analysis and restoration scheme effect simulation on the target shore section by using a Bayesian network prediction model. By coupling hydrological and biological connectivity, static element evaluation is changed into dynamic ecological process diagnosis, and dominant factors are accurately positioned.

The invention discloses an island shoreline erosion monitoring method and system based on image recognition, and the method comprises the steps: processing an optical image through meteorological data, obtaining a clear optical image, carrying out the multi-source feature fusion of the clear optical image and an SAR image, and obtaining a preliminary shoreline probability graph; carrying out fine extraction and image recognition on the initial shoreline probability graph according to the instantaneous tide level to obtain an island shoreline planar graph, carrying out image registration and constructing an island shoreline digital surface model, calculating a three-dimensional deviation field and quantifying an erosion index, calculating a driving factor, and determining a dynamic monitoring threshold according to the driving factor and a standard monitoring threshold. And carrying out island shoreline erosion early warning according to the erosion index and the dynamic monitoring threshold. The method not only can improve the efficiency and accuracy of island shoreline erosion monitoring, but also has good interpretability, and can be directly applied to an island shoreline erosion monitoring system.

The invention discloses a big data-based marine disaster risk prevention and control early warning system and method, and belongs to the technical field of marine disaster monitoring and early warning. The invention discloses a big data-based marine disaster risk prevention and control early warning system and method. The system comprises a multi-source data fusion module, an intelligent modeling module and a real-time early warning module, the method comprises the following steps: cleaning and storing multi-source data after wavelet transform downsampling through an edge computing node; a space-time Transform network is adopted to extract space-time features, a Coriolis force correction equation is combined to calibrate a predicted value, and the disaster risk probability and tide level and wind speed key parameters in the next 24 hours are generated; graded early warning is triggered based on a dynamic risk map, and second-level pushing is carried out through multiple channels such as a mobile network and emergency broadcast. The tide level prediction error is reduced to be smaller than or equal to 0.2 m, the early warning response delay is smaller than 10 seconds, and the problems that a traditional system is high in false alarm rate and updating lags are effectively solved.

The invention discloses a tidal flat automatic extraction method fused with an irregular hexagonal grid. The method comprises the following steps: step 1, constructing a time sequence remote sensing data set; step 2, establishing a precision verification sample library; step 3, screening spectral indexes; 4, synthesizing an extreme tide level image; 5, generating an irregular hexagonal grid; step 6, carrying out adaptive threshold segmentation; step 7, secondary elimination of confused ground features; step 8, tidal flat range extraction and precision verification; according to the method, based on a time sequence remote sensing image set, pixels at all positions are screened through a specific spectral index maximum value, a new extreme tide level image is formed through combination, spatial heterogeneity of a complex coastal zone is adapted through an irregular hexagonal grid and a bottom-to-top hierarchical merging strategy, local self-adaptive threshold segmentation is achieved in cooperation with a local Otsu algorithm, and a new extreme tide level image is obtained. The optimal grid scale is automatically determined by means of an elbow method, and the confused ground features are secondarily eliminated through the time sequence standard deviation, so that the problem of miscarriage of the confused ground features is effectively solved, and high-precision full-automatic extraction of the tidal flat is realized.

The invention relates to the technical field of sight distance measurement, and discloses a floating platform tide gauge method based on offshore GNSS (Global Navigation Satellite System) data, comprising GNSS equipment and communication equipment, and comprising the following steps: S01, deploying at least one piece of GNSS equipment sufficient to cover a detection area, and transmitting the GNSS equipment through the communication equipment to establish connection with a user side; s02, the data center of the user side receives real-time GNSS data transmitted by the GNSS device and stores the real-time GNSS data to obtain a GNSS data set; and S03, performing abnormal point deletion and data filtering correction on the received GNSS data set to obtain tide gauge data of the offshore point location. According to the method, accurate tide gauge data are obtained through correction such as GNSS elevation data abnormal point deletion and data filtering, and the problem that the precision of tide gauge data is too low due to displacement of a sinking type tide level instrument in areas such as a shore-based tide gauge station or a strong tide estuary and a soft substrate cannot be arranged in a long-distance offshore operation area is solved.

The invention discloses an offshore platform tide level data processing method, device and equipment and a storage medium, and relates to the technical field of signal processing. According to the scheme, standard time-frequency transformation and fast Fourier transformation are combined, periodic signals in signals can be completely recognized and extracted, the extraction precision of sea level data of an offshore platform is improved, and therefore reliable sea level data are obtained; and the de-noised tide data of various partial tides are obtained, so that the influence degree of different tides on the offshore platform can be analyzed.

The invention relates to a tide level obtaining method and system based on an OWC wave energy conversion device. The method comprises the following steps: constructing an energy loss prediction model in the air chamber; acquiring field incident wave energy, reflected wave energy, water potential energy increment, kinetic energy increment and pneumatic output energy at the current time period; inputting incident wave energy and reflected wave energy into the model to obtain predicted energy loss; and the tide level variation is solved based on the energy conservation relational expression, and the current tide level is calculated. The system comprises an energy loss prediction module, a wave energy acquisition module, a water body energy acquisition module, a pneumatic output acquisition module, an energy loss calculation module, a tide energy solving module and a tide level calculation module, which cooperatively realize the method. According to the scheme, an external tide gauge station is not needed, the local sea area tide level can be inversed in situ, at high frequency and with high precision, the method is suitable for an OWC-breakwater fusion scene, and cooperative operation of a port and ocean energy is supported.

The present invention relates to a calculation method for the general scour pattern of a cross-sea bridge considering the turbulence effect. The research area including the cross-sea bridge project is determined and meshed, the elevations of each grid node are obtained, typical computational hydrological boundary conditions are selected, a non-hydrostatic three-dimensional mathematical model including the entire cross-sea bridge project is established, the hydrodynamic fields before and after the bridge construction are calculated, the tidal level and flow velocity are verified, the pulsating velocity at each grid node, the sediment settlement velocity in still water and the settlement velocity under the influence of turbulent kinetic energy are calculated, the sediment carrying capacity is calculated according to the estuarine fine sediment model, and finally the general scour amplitude of the seabed at each grid node position is calculated, thereby obtaining the characteristics of the general scour amplitude in the upstream and downstream areas of the bridge. Combining the plane three-dimensional numerical model and the sediment carrying capacity calculation method considering the turbulence effect, through the dynamic equilibrium theory, the accurate prediction of the general scour pattern of the cross-sea bridge including the depth and range is realized, and the calculation accuracy of the general scour pattern of the cross-sea bridge is improved.

The invention relates to the technical field of interference reflection remote sensing, in particular to a tide level monitoring method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring SNR data of a low elevation angle of a reflection region on a sea surface; carrying out atmospheric refraction correction and trend term removal operation on the data to obtain a high-frequency component of the data; performing wavelet transformation on the high-frequency component to obtain an instantaneous frequency time sequence and a peak power time sequence at different moments, screening the instantaneous frequency time sequence and the peak power time sequence respectively, and finally performing average value calculation on frequency screening results to obtain a main frequency of the high-frequency component; the antenna height is calculated based on the dominant frequency to obtain an initial tide level sequence, the initial tide level sequence is decomposed into an astronomical tide sequence and a residual water level sequence which are arranged at equal intervals through quasi-tide harmonic analysis, and the astronomical tide sequence is corrected through local weighted linear regression to obtain a final tide level sequence. Therefore, the problem that the precision of a tide level monitoring result obtained in the prior art is low is solved.

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 a cutter suction dredger complex section accurate excavation control method and system, and the method comprises the steps: firstly constructing a design section based on geological survey data or construction scheme parameters, and collecting the data of high-precision positioning equipment and related sensors in real time; comprise ship positioning latitude and longitude coordinates, a bridge angle, trunnion draft, a tide level, a compass direction, a trolley stroke and a transverse moving winch cable speed, and the digging depth, the coordinates, the lifting and lowering speed and the transverse moving speed of the reamer are calculated by combining ship type parameters; the method comprises the following steps: firstly, acquiring a reamer coordinate, then acquiring a slope ratio, a sideline coordinate and a design depth of a current design section through the reamer coordinate, calculating a deviation between the reamer position and the design section in real time, and finally, automatically adjusting motion parameters of a reamer through a system built-in control model in a set excavation mode to ensure that an excavation track of the reamer accurately follows the design section. The efficient, accurate and uniform excavation effect is achieved, and the construction accuracy and efficiency of complex section excavation can be remarkably improved.

The invention provides an efficient processing and report generation method, system and equipment for tide level data and a medium. The method comprises the following steps: S1, obtaining original tide level data and carrying out data continuity analysis; s2, de-noising processing is carried out on the tide level data to obtain processed tide level data; s3, performing interpolation processing on the processed tide level data to obtain interpolated tide level data; s4, extracting tide level characteristic parameters from the normalized tide level data after interpolation correction; s5, performing identification and lunar calendar conversion on related Gregorian calendar dates; and S6, generating a standardized report based on the extracted tide characteristic parameters. Through automatic data denoising, interpolation, feature extraction and other processing, the processing efficiency and accuracy of the tide level data are greatly improved, and the defects of manual processing are effectively overcome; meanwhile, by means of an intelligent report generation mode, the analysis result of the tide level data is more visual and readable, and a user can conveniently and rapidly obtain needed key information.

The invention provides a tide level prediction method and device and a server, and relates to the technical field of tide prediction, the method is applied to a tide level prediction model, the tide level prediction model comprises a harmonic analysis model, and the method comprises the following steps: carrying out harmonic analysis processing on original tide level data through the harmonic analysis model, determining an astronomical tide predicted value and non-astronomical tide data of the tide; performing decomposition and noise reduction processing on the non-astronomical tide data, determining various modal components of the non-astronomical tide, and determining a non-astronomical tide predicted value based on the gating cycle model and the modal components; and superposing the non-astronomical tide predicted value and the astronomical tide predicted value to determine a target tide level predicted value. The precision of tide level prediction can be remarkably improved.

The invention provides an immersed tube joint sinking butt joint underwater space positioning system and method. The immersed tube joint sinking butt joint underwater space positioning system comprises a clinometer, a mobile station group, a tide gauge, a multi-beam sonar and a monitoring data analysis and display module. The inclinometer obtains bidirectional dip angle monitoring data of the immersed tube joint; the mobile station group obtains coordinate monitoring data of positions where the mobile stations are located respectively; the tide level meter obtains tide level monitoring data in the pipe joint sinking and butt joint period; the multi-beam sonar obtains the terrain data of the underwater foundation trench in the pipe joint sinking and docking area; the monitoring data analysis and display module obtains feature point coordinates, pipe joint postures and early warning index data on a to-be-immersed pipe joint according to the inclinometer monitoring data, the mobile station group monitoring data, the tide level data, the multi-beam underwater topographic data and the immersed pipe joint coordinate data.

The invention discloses a buoy attitude self-adaptive wind wave calibration method for a typhoon landing path sea area, and relates to the field of ocean monitoring, and the method comprises the steps: obtaining attitude information, original wave height information and wind speed and direction information of a target buoy through a six-degree-of-freedom IMU, a micropressure array wave height meter and a three-axis ultrasonic wind speed sensor carried by the target buoy; compensating the original wave height information based on the attitude information and the wind speed and direction information to obtain compensated wave height information; based on remote sensing inversion data, a storm surge numerical forecasting model or historical tide level data, obtaining a storm surge lifting height of the current area, and taking the storm surge lifting height as a zero drift error of the micropressure array wave height meter; and outputting target wave height data based on the zero drift error and the compensated wave height information. According to the calibration mechanism of fusion compensation and multi-source correction provided by the method, the adaptability and practicability of a traditional buoy system under extreme meteorological conditions are remarkably improved.

The invention provides a water plant raw water and clear water lifting pump station joint optimization energy-saving dispatching method and system for solving the problems that traditional pump station dispatching depends on artificial experience, global optimization is lacked, and energy waste is serious. Comprising the steps that a flow-lift and flow-efficiency relation model is established, and a variable frequency pump deduces a performance formula under any frequency based on the similarity law; in the first-stage optimization scheduling, the optimal flow of a water intake pumping station and the optimal water storage level of a clean water tank in each time period are determined by adopting a dynamic programming algorithm and taking the minimum total work of the system as a target, and the conditions of flow balance, water level constraint and the like are met; and in the second-stage optimization scheduling, the genetic algorithm is adopted to optimize the combination and operation frequency of the water pumps in each time period by taking the minimum total power of the pump set as a target, and a flow and lift deviation penalty term is introduced. According to the method, water taking, water storage and water supply whole-process collaborative optimization is achieved, the energy saving rate exceeds 10%, the operation cost is reduced, the method adapts to dynamic changes of the water source tide level and the water demand, and the dispatching intelligent level is improved.

The invention discloses a tidal flat large-scale remote sensing intelligent extraction method. The method comprises the following steps: extracting sample points; extracting shoreline data; determining a tidal flat extraction range based on shoreline data; constructing a remote sensing feature data set, calculating different features based on remote sensing data and synthesizing the different features into a new data set; construction of a classification decision tree: determining a proper segmentation threshold value by using distribution frequency distribution of sample points in the remote sensing feature data set, and constructing the decision tree; synthesizing the lowest tide level data, namely synthesizing the lowest tide level data by using the first 5% and 5-25% of images according to the proportion that each pixel in the three-year remote sensing data is identified as a tidal flat; and extracting a tidal flat space range, applying a classification decision tree on the synthesized lowest tide level data to obtain a product, and carrying out data post-processing and statistical mapping. Through remote sensing big data, large-scale minimum tide level data extraction and synthesis and tidal flat drawing are realized, and the robustness and the application range of the method are improved while the limitation of the existing method is overcome.

The utility model discloses an artificial oyster reef structure which comprises a wave dissipation base and an upper-layer reef body, the wave dissipation base is connected with the upper-layer reef body in a floating mode, the height of the wave dissipation base is lower than the historical lowest water level line, the head wave face of the wave dissipation base is obliquely arranged, the upper-layer reef body comprises a floating reef body, and the floating reef body is provided with an oyster attachment structure. The oyster reef generating device has the advantages of being capable of adapting to tide level changes and stable in oyster reef generating efficiency.

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.