261 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 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 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 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 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 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 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.

The invention relates to a nuclear power unit power control method and system based on seawater temperature and tide level prediction, and the method comprises the steps: obtaining seawater temperature data of a sea area where a nuclear power unit is located in past first set time, and predicting the seawater temperature after second set time according to the seawater temperature data, so as to obtain a predicted temperature; obtaining tide data of a sea area where the nuclear power unit is located within a third set time, and predicting a tide level after the second set time according to the tide data to obtain a predicted tide level; and obtaining historical operation data of the nuclear power unit, and determining an electric power set value of the nuclear power unit according to the historical operation data, the predicted temperature and the predicted tide level. The power generation power and stability of the nuclear power unit can be improved, and the over-power risk of the unit is reduced.

The invention provides a large-scale tidal flat range extraction and elevation inversion method and system based on gridding segmentation. The method comprises the following steps: S1, screening and preprocessing remote sensing images in a research area to obtain a remote sensing image set; s2, carrying out water body extraction on the screened remote sensing images based on a K-means + + algorithm to obtain a binary image set; s3, summarizing and calculating binarization results to obtain a pixel-by-pixel submerging frequency result, and extracting a tidal flat range; s4, carrying out the inversion of the tidal flat elevation based on the tidal flat elevation inversion model and the grid segmentation to obtain the tidal level information; and S5, spatial filtering post-processing is carried out on the elevation inversion result, and distortion points are removed. Based on the idea of gridding segmentation, the problem that the precision is limited by the assumption that tidal flats with the same tide submerging frequency have the same elevation only in a limited space range during large-scale tidal flat elevation inversion can be solved, and the precision and the speed are both achieved during tidal flat elevation inversion.

The invention discloses a cofferdam pond gate control system based on the Internet of Things, and belongs to the technical field of gate control, and the cofferdam pond gate control system specifically comprises the steps that a data acquisition module obtains satellite tide data and meteorological monitoring data through an Internet of Things control center; the tide level prediction module inputs the two types of data into a multi-model fusion mechanism, integrates an astronomical tide model based on gravity calculation and a meteorological tide model based on wind pressure coupling, and generates a comprehensive tide level curve according to dynamic weight fusion; the height analysis module determines the upper limit of the opening height in the flood period by taking the real-time tide level as the reference flushing retarding interval according to the comprehensive tide level curve, and dynamically adjusts the theoretical opening height of the water changing port in combination with the water head rate in the ebb period; the gate control module generates a gate lifting instruction and issues the gate lifting instruction to the driving unit through the Internet of Things to control the sectional type sealing plate to act, and it is ensured that the error between the actual opening height and the theoretical value is within the preset range; according to the invention, environment dynamic response of tide regulation and control is realized.

The invention relates to the technical field of breakwaters, in particular to a breakwater embedded with an oscillating water column type wave energy power generation device adapting to tidal range variation, which comprises a breakwater body, a plurality of mounting grooves are formed in the head wave surface of the breakwater body and are respectively arranged at intervals in the horizontal direction, and a driving system is arranged in each mounting groove. The driving system is connected with an oscillating water column type wave energy power generation device, and the oscillating water column type wave energy power generation device is driven by the driving system to ascend and descend in the vertical direction. A plurality of oscillating water column type wave energy power generation devices are embedded in the head wave face of the breakwater body at intervals, and the heights and opening orientations of the oscillating water column type wave energy power generation devices are flexibly adjusted through the driving system so as to adapt to and be matched with tidal range changes and incoming wave direction changes of a service sea area; on the basis of maintaining stable mooring conditions in the harbor, energy absorption and capture of waves with different tide levels and incoming wave directions are achieved in an efficient mode, and the capture efficiency is improved to the maximum extent.

The invention provides a multi-modal fusion radar tide level intelligent adaptive filtering method, which belongs to the technical field of radar tide, and comprises the following steps: through dual-polarization radar signal acquisition, performing three-layer wavelet decomposition on vertical and horizontal polarization digital intermediate frequency signals, and marking clutter coefficients based on variance and skewness threshold values; performing adaptive soft threshold processing, evaluating residual clutter confidence coefficient by using a convolutional neural network, dynamically adjusting suppression intensity, calculating a polarization phase difference sequence, inputting the polarization phase difference sequence into a long-short-term memory network to identify a false target distance unit, and calculating multipath path parameters by combining ray tracing of a digital elevation model to perform phase compensation and amplitude correction; finally, an accurate tide level height value is obtained by detecting a real tide level distance Doppler spectrum peak value, and the technical problem that the measurement precision is reduced due to the fact that radar tide level measurement cannot effectively distinguish clutter interference and multipath false targets in a complex marine environment is solved.

The invention provides a coastline reference plane determination method based on tide correction, and belongs to the technical field of coastline detection.The method comprises the steps that a high-resolution satellite image and airborne laser radar data are collected and input into a sea-land boundary recognition model constructed by a neural architecture growth algorithm based on attention guidance, and a refined instantaneous coastline is extracted; a coastal tide numerical model containing a shallow moisture tide term and a composite partial tide term is established, a coastal refined tide forecast tide level sequence is obtained through a variational data assimilation optimal control algorithm, and a refined instantaneous coastline is associated with a corresponding forecast tide level to establish a spatial distribution function; the coastline position corresponding to the lowest tide level of the multi-temporal remote sensing data inversion theory is integrated through the Bayesian maximum posteriori estimation method to serve as the coastline reference plane, and the technical problem that the determination precision of the coastline reference plane is affected by dynamic changes of tides and water density differences, and consequently spatial positioning is inaccurate is solved.

The present invention discloses a muddy coastline change monitoring and analysis method based on remote sensing technology. The method comprises the following steps: firstly, pre-processing a remote sensing image to obtain an initial remote sensing image of a target coastal area; constructing a water body index based on the remote sensing image to obtain a water body index image; then determining a target segmentation threshold to divide the water body index image to obtain a binary image of the water body index image; then obtaining the instantaneous water edge line and target coastline category of the target coastal area; adopting tidal gully-based tide level correction to correct the instantaneous water edge line in the binary image of the target coastal area to obtain the target coastline; finally, inputting the target coastline collected at different periods into a digital coastline analysis system, and performing end point change rate and linear regression change rate analysis on the multiple target coastlines collected by the digital coastline analysis system, thereby dynamically monitoring the target coastline and obtaining the change of the target coastline.

The application discloses a kind of short-term prediction methods of high tide flood in coastal areas based on probability statistics. Including: obtaining the historical hourly water level observation data of target coastal area tide station and preprocessing;Climate state probability distribution model is constructed, and corresponding climate state distribution parameters are obtained;Decay persistence prediction model is constructed, and the observation abnormal value of future month is calculated according to the current month observation abnormal value;The climate state distribution parameters are adjusted by the observation abnormal value of future month;The daily cumulative flood probability is calculated based on the adjusted climate state distribution parameters;Daily cumulative flood probability is calculated day by day, and the high tide flood probability sequence of coastal cities in future several months is obtained, the warning probability threshold is set, and the date higher than the warning probability threshold in high tide flood probability sequence is marked as high tide flood high risk day.The high tide flood prediction of the application is more in line with the needs of disaster risk assessment, has more information, and can provide seasonal scale prediction, leaving time for medium and long term planning and emergency preparation.

This application discloses a method, system, and electronic equipment for guiding vessels through an immersed tunnel area in a port area, relating to the field of vessel management in port waters. The method includes: triggering vessel identification based on an electronic fence; determining the target vessel to enter the electronic fence area; determining the vessel's navigation path based on scheduling plan information; estimating the time interval for the target vessel to pass through the immersed tunnel area; acquiring tidal level data of the immersed tunnel area; and calculating the passage window period for passing through the immersed tunnel area based on the tidal level data; comparing the time interval for passing through the immersed tunnel area with the passage window period; and determining the time period for the vessel to pass through the immersed tunnel area based on the comparison results; and generating passage guidance information for the vessel during its passage through the immersed tunnel area based on real-time tidal height data during the passage period. This application solves the technical problem in related technologies where only vague prompts are provided for vessels with passage risks in immersed tunnel areas, resulting in low vessel passage efficiency.

This invention relates to a method and storage medium for calibrating abrupt change points in tidal data. The method includes: acquiring tidal data within a preset time period; calculating the absolute value of the change between any two adjacent tidal data points; removing threshold values ​​from all calculated absolute values ​​to obtain the remaining absolute values; using the maximum value among the remaining absolute values ​​as the basis for determining the abrupt change points in all tidal data; interpolating the abrupt change points; sorting the interpolated tidal data according to time sequence, and then performing a fitting calculation based on a selected order to obtain the fitted tidal data. This method allows for the retrieval and calibration of abrupt change point data in tidal data, effectively reducing the workload of tidal data compilers and improving work efficiency.