50 results about "Tidal cycle" patented technology

The invention relates to the technical field of resource management, in particular to a seawall ecological protection-oriented vegetation water demand prediction method and system, and the method comprises the steps: collecting the environment monitoring data of a seawall region; establishing a salinity stress factor model based on the soil data, calculating a comprehensive salinity stress coefficient of the monitoring point, and performing multi-factor dynamic correction on the vegetation water demand to obtain a vegetation basic water demand; establishing a multi-dimensional time sequence model of a tidal cycle and a soil moisture supplement relationship considering geologic structure differences, and obtaining resource scheduling weights under different tidal stages and environmental conditions; according to the vegetation data, the underground data and the environmental data of the different seawall regions, based on a multi-region collaborative water resource allocation network, obtaining a deployment optimization scheme based on regional characteristic parameters; and generating a vegetation water demand prediction result and a graded resource scheduling scheme by integrating the vegetation basic water demand, the resource scheduling weight and the allocation optimization scheme, and performing irrigation.

The invention discloses a scouring pile foundation reinforcement method based on an MICP curing technology, which comprises the following steps: acquiring initial environment information such as scouring pit parameters, water flow parameters, tide period and seawater salinity of a delimited area around a pile, and determining grouting parameters such as a grouting window period and a safe flow velocity threshold value and a matching numerical value of a bacterial liquid concentration, a urea concentration and a calcium ion concentration; a grouting assembly composed of a first grouting pipe and a second grouting pipe which are spliced up and down is arranged, and grouting holes are formed in the side wall of the second grouting pipe which is pre-buried in a soil layer; after MICP slurry is prepared according to blending parameters, the slurry is injected into a soil layer in combination with grouting parameters, and meanwhile, the grouting process is dynamically adjusted by monitoring the resistivity of a soil body in real time; and after grouting is completed, the assembly is dismantled, and supplementary grouting is conducted on the local area according to the detection result. According to the method, the accuracy and reliability of pile foundation reinforcement are achieved through environmental parameter adaptation, grout dynamic regulation and control and layered detection and reinjection.

The invention discloses a significant wave height time sequence intelligent prediction method based on deep learning, and the method comprises the steps: S1, obtaining a wave data set, and carrying out the preprocessing of the wave data set; s2, performing modal decomposition on a time sequence in the processed wave data set by adopting an empirical mode decomposition algorithm, and splicing a modal decomposition result with the processed wave data set to obtain an enhanced time sequence feature; s3, constructing a significant wave height time sequence prediction model, and performing focused learning on frequency components, which have significant influence on the significant wave height, in the enhanced time sequence features through an adaptive fusion mechanism to obtain a trained significant wave height time sequence prediction model; and S4, predicting the significant wave height of the time point needing to be predicted. According to the method, the significant wave height time sequence prediction model can simultaneously capture local details (such as wind speed abrupt change) and a global trend (such as tidal cycle) of wave generation by obtaining enhanced time sequence characteristics; by learning the frequency components which have obvious influence on the significant wave height in the enhanced time sequence characteristics, the complex dynamic state of the marine environment can be modeled more accurately, so that the prediction precision of the significant wave height is improved.

The invention discloses a coastal corrosion geological environment structure corrosion resistance evaluation method and system, and relates to the technical field of building structure corrosion resistance evaluation. The method comprises the steps of data acquisition, coast environment corrosion factor data is acquired by arranging a sensor module, related data of a building structure is acquired at the same time, and the accuracy of assessment data and assessment results is effectively improved by considering multiple factors into the corrosion resistance assessment of the building structure in the coast region; meanwhile, a coupling corrosion rate correction model is constructed, corrosion factor data monitored in real time and real-time data of the building structure are combined, the purpose of evaluating the corrosion resistance of the building structure in the coastal area according to real-time changes of corrosion factors in the tidal period is achieved, the real-time performance of an evaluation result is guaranteed, and the evaluation efficiency is improved. And the accuracy of the evaluation data is further improved.

The invention provides a spartina alterniflora invasion risk grade evaluation method, medium and system, and belongs to the technical field of spartina alterniflora invasion risk evaluation.Intertidal zone environment monitoring equipment is established to obtain multi-dimensional environment data in a tide period, and a tide inundation influence matrix and a tide emerging growth matrix are constructed; a matrix multivariate decomposition technology is combined with a minimum spanning tree algorithm to extract key environment factors and growth factors, a multi-layer neural network is utilized to construct a risk assessment model integrated with a gating weight adjustment mechanism, network parameters are dynamically adjusted through a tidal change influence coefficient, accurate quantitative assessment of the spartina alterniflora invasion risk is realized, and the risk assessment accuracy is improved. A risk early warning mechanism of differential monitoring frequencies is established, continuous improvement of a risk assessment model is realized based on iterative optimization of monitoring frequency adjustment coefficients, and the technical problem of insufficient accuracy of spartina alterniflora intrusion risk assessment in a tidal environment is solved.

The invention discloses a method for evaluating the growth performance of mangrove forest seedlings in an estuary high-salinity environment, and the method comprises the steps: constructing an analysis framework in which a dynamic salinity stress system and a multi-dimensional monitoring technology are coupled, and achieving the precise evaluation of the environmental adaptability of the mangrove forest seedlings; the method comprises the following steps: firstly, carrying out sterile germination and matrix domestication on a target estuary provenance, then establishing a three-dimensional stress model containing basic salinity maintenance, sudden salinity impact and tidal cycle fluctuation, and strictly controlling the sudden salinity impact amplitude within 20% of the historical extreme value of the estuary; synchronously acquiring canopy volume and root architecture parameters of the seedlings by adopting a three-dimensional laser scanning technology, and constructing a morphological database in combination with leaf apparent characteristic records; subcellular structure indexes such as cell wall thickening, chloroplast envelope integrity and mitochondrial ridge density are observed and analyzed through a transmission electron microscope, the molecular mechanism of osmotic regulation and energy metabolism is disclosed, and the concentration of suspended solids in the water body, the oxidation-reduction potential of sediments and the functional diversity of microorganisms are synchronously monitored.

The invention discloses an ocean current monitoring method, device and equipment based on a video image and a storage medium, and relates to the technical field of ocean current monitoring, and the method comprises the steps: carrying out the preprocessing of a video image of a target sea area, and the preprocessing comprises the framing processing and optical flow calculation of the video image; extracting spatial features of water surface ripple shapes and floating object distribution from the preprocessed video images through a spatial flow network; capturing time sequence characteristics of tidal cycle and vortex evolution of the preprocessed video image through a time flow network; the spatial features and the time sequence features are fused as spatial-temporal features, and ocean current parameters are calculated based on motion vector integration; eliminating noise interference of ocean current parameters based on multi-scale data fusion so as to generate an ocean current field distribution model; and monitoring the ocean current of the target sea area by using the ocean current field distribution model. Based on the video image, the ocean current of the target sea area can be finely monitored in a large range, the ocean current field distribution model can be used for accurately and quickly monitoring, and compared with the prior art, the method is more efficient.

The invention discloses a spartina alterniflora management method based on mechanical mowing and tidal water level regulation, which comprises the following steps: using mechanical mowing equipment to mow spartina alterniflora in the growth peak period of spartina alterniflora, and cutting the overground part to the height less than 5cm; dividing the treatment area into high, medium and low tidal flat according to the tidal flat elevation, and establishing a dam filled with sand and covered with degradable cloth in each area; adjusting the height of the dam according to the tidal cycle and the tidal flat elevation, so that the high tidal flat area is submerged by natural saline water at least twice a month during the large tide; after the spartina alterniflora is treated, the sandy dam and the anti-scouring cloth are gradually removed, the original ecological system of the wetland is restored, and local plants are planted to promote natural restoration. According to the method, low-cost, high-efficiency and eco-friendly long-term treatment of the spartina alterniflora can be realized in a large-area mud flat area, so that the operability, sustainability and environmental friendliness of the treatment effect are remarkably improved, and the method has wide popularization and application values.

The invention discloses efficient water pumping equipment utilizing marine environment energy, and belongs to the field of marine engineering equipment. The equipment comprises a high-pressure gas supply assembly, a guide column connected to the seabed, a middle buoy connected to the guide column in a sliding mode, and an upper telescopic cylinder and a lower telescopic cylinder which are connected to the top and the bottom of the middle buoy respectively. The high-pressure gas supply assembly can convert wind energy, solar energy, tidal energy or wave energy into compressed air and store the compressed air. The middle buoy can change the resultant force of the gravity and the buoyancy by utilizing the rising and falling of tides or through the charging and discharging of high-pressure gas and the change of the water discharging and absorbing capacity of the middle buoy, the middle buoy is acted to slide along the guide post, and the upper and lower telescopic cylinders are respectively driven to alternately pump water by the up-down movement of the middle buoy. By filling or discharging high-pressure gas into or out of the middle buoy, the buoyancy and gravity balance of the middle buoy can be actively adjusted, so that the movement frequency of the middle buoy is greatly increased, the tidal cycle limitation is broken through, and all-weather, high-frequency and efficient water pumping operation is achieved in combination with the marine environment energy storage condition.

This invention belongs to the technical field of environmental multi-parameter monitoring methods, and particularly relates to an environmental multi-parameter monitoring method and system for optimizing and denoising island and reef data. Based on prior knowledge of island and reef environmental physics, an unsupervised pseudo-label generation system is constructed. A multi-parameter numerical simulation model is built based on tidal cycles, temperature-salinity-density coupling, and the physicochemical equilibrium law of dissolved oxygen-temperature-pH. Environmental time-series characteristics of measured noise data are input to generate clean simulation reference data. A self-supervised learning framework is used to pre-train the basic denoising model with the clean simulation data as a weakly supervised signal. A physics-driven multi-parameter coupling and noise decoupling mechanism is constructed, transforming the physicochemical coupling relationships of temperature, salinity, pH, and dissolved oxygen into hard constraints for the model and establishing a parameter coupling correlation matrix. Through feature decoupling branches, environmental coupling change components and noise components are separated, distinguishing between parameter coupling pseudo-noise and real noise from sensor drift and transmission interference. Denoising bias of a single parameter is corrected through coupling constraints.

This invention relates to the field of information security technology, specifically to a blockchain-based anti-tampering system for marine environmental data. The system includes a wave crest localization module, a waveform feature extraction module, a fingerprint generation module, a tag mapping module, and an on-chain storage module. In this invention, deep analysis of seawater multispectral light intensity waveform data is performed to extract wave crest curvature geometric indices and wavelength differences, constructing a set of morphological parameters. Component coupling weights are used to generate an on-chain fingerprint sequence reflecting the constraints of water quality components. Dynamic state tags are generated by mapping instantaneous flow velocity to tidal cycle flow velocity ranges. The fingerprint sequence and dynamic tags are encapsulated into blocks and subjected to fluid dynamic continuity verification. A distributed ledger consensus mechanism is used to lock the physical temporal relationship of the data, realizing a transformation from simple numerical recording to multi-dimensional logical verification of environmental characteristics, effectively avoiding the tampering risks associated with centralized storage.

The application discloses a kind of coastal groundwater-surface water monitoring sampling device and experimental method of adaptation tidal fluctuation, including carrying platform, amphibious mobile track system located below carrying platform, positioning navigation system located on carrying platform, buoyancy adjusting wing plate system symmetrically located on the both sides of carrying platform, groundwater monitoring sampling system located on carrying platform, surface water monitoring sampling system located on carrying platform, sample separation and preservation system located in carrying platform, visual monitoring system located on carrying platform and control system located in carrying platform, wherein control system is respectively electrically connected with amphibious mobile track system, positioning navigation system, buoyancy adjusting wing plate system, groundwater monitoring sampling system, surface water monitoring sampling system, sample separation and preservation system and visual monitoring system.The application realizes synchronous, layered sampling of groundwater and surface water at different sites in coastal zone within full tidal cycle.

The application provides a calculation method of a salt exchange amount of a biological channel of a muddy tidal flat, and belongs to the field of hydrogeology and geophysical monitoring and evaluation. Specifically, in combination with the sedimentary characteristics that the weak permeable layer of the muddy tidal flat is dense and the medium resistivity difference is significant, a diffusion-convection coupling model is used to quantitatively measure molecular diffusion and tidal convection, and a full-chain automatic calculation system from ERT time series monitoring to tidal period integration is constructed, so as to improve the salt flux calculation accuracy from the meter equivalent porous medium unit to the centimeter single biological channel scale.

The present invention discloses a tidal flat terrain monitoring method based on few-shot learning. This method utilizes the non-orthogonal tidal flat flooding image data collected by the coastal monitoring system; with the support of a small number of labeled samples, through introducing the large-scale basic model SAM for reinforcement learning, it realizes the rapid and accurate extraction of the tidal flat waterline; uses the collinearity equation to convert the non-orthogonal waterline into an orthogonal waterline; combined with the real-time tidal level information provided by the water level monitoring station, this technology can construct a high-precision tidal flat terrain on the time scale of the tidal cycle. The advantages of the present invention are: it provides an effective solution strategy for the tidal flat terrain monitoring field with scarce labeled data, and further supports the establishment of a fully automated and dynamic monitoring system for the tidal flat terrain.

This invention relates to the field of underwater acoustic signal processing technology, and discloses a method for calculating the transmission time of multipath underwater acoustic signals based on a Markov model. The method includes: first, performing bandgap conditioning and correlation processing on the received underwater signal to extract the energy envelope, and mapping it to a likelihood distribution in the time delay domain to obtain multipath structure observation parameters; then, calculating the tidal period phase factor based on the signal acquisition time, and establishing a multipath state evolution model modulated by this phase factor; next, using the multipath structure observation parameters to drive the model for time-series recursion, calculating the confidence sequence of the first-arrival multipath cluster's belonging state; finally, using the confidence sequence as weights, performing a fusion estimation of the preset propagation delay corresponding to each state, and outputting a continuous transmission time. This invention can effectively suppress jump errors caused by the time-varying multipath structure due to internal tides, and significantly improve the stability and accuracy of transmission time calculation in complex shallow sea environments.

The invention relates to a large tidal range strong back-silting sea area steel pipe pile construction method based on harbor basin desilting, which comprises the following steps: S1, arranging a plurality of harbor basins at the upstream of a bridge along the axis direction of the bridge, and enabling the water depth of the tide level where the harbor basins are located to be not lower than a first preset value through desilting; s2, the pile driving barge sails to the position of the harbor basin and is anchored and positioned; s3, when the tide level is lowered to be lower than the first tide level, the pile driving barge conducts construction preparation operation of the steel pipe piles in the harbor basin; s4, when the tide level rises to be larger than the second tide level, the pile driving barge moves to the target pier, steel pipe piles are inserted and driven, and returning is completed and the pile driving barge stops in the harbor basin before the tide level is lowered to be lower than the first tide level; and S5, according to the tide period, the pile driving barge is moved, and the step S3 and the step S4 are repeated till construction of all the steel pipe piles on the upstream of the bridge is completed. A harbor basin point is used as a construction operation preparation area, so that the back-and-forth navigation time between a construction area and an anchoring ground caused by insufficient tide level is effectively shortened, and the pile pitching efficiency is improved.

The present application relates to the technical field of resource management, in particular to a vegetation water requirement prediction method and system for sea embankment ecological protection, comprising collecting environmental monitoring data of the sea embankment area; a salt stress factor model is established based on soil data to calculate the comprehensive salt stress coefficient of the monitoring point, dynamically correct the vegetation water requirement based on multiple factors, and obtain the basic vegetation water requirement; a multi-dimensional time sequence model considering the relationship between the tidal cycle and soil water replenishment is established to obtain resource scheduling weights under different tidal stages and environmental conditions; based on the vegetation data, underground data and environmental data of different sea embankment areas, a water resource allocation network based on multi-region cooperation is used to obtain a distribution optimization scheme based on regional characteristic parameters; the basic vegetation water requirement, resource scheduling weights and distribution optimization scheme are comprehensively used to generate vegetation water requirement prediction results and hierarchical resource scheduling schemes for irrigation.

This invention belongs to the field of submarine cable engineering technology and discloses a design method for secondary stability intervention of submarine cables using a block-type structure. The steps are as follows: 1) Based on the water flow velocity, wave height, and tidal cycle data of the target sea area, calculate the characteristic velocity of seabed flow under extreme conditions using empirical formulas; 2) Combine the cable diameter, self-weight, and flow parameters to calculate the hydrodynamic characteristics and in-situ stability of the cable and determine the required additional lateral resistance; 3) Analyze the hydrodynamic coefficient and inherent stability of the block-type structure through numerical simulation or physical experiments to quantify the lateral resistance that the block can provide to the cable; 4) Design the distribution spacing and total number of block distributions according to the cable stability requirements to form a preliminary layout scheme; 5) Improve the anti-slip performance by optimizing the size and shape of the block structure, and iteratively optimize the layout scheme based on the construction volume assessment to reduce engineering costs.

The invention discloses a water wheel type power generation device, belongs to the technical field of tidal power generation devices, and aims to solve the problems that tidal water flow is high in sand content and easy to generate sludge and marine organism adhesion, so that the tidal water flow power generation efficiency is influenced, the water flow speed change is large during tide fluctuation, blades are easy to crack due to impact, and the power generation efficiency is low. The power generation device comprises a mounting frame and a fixing seat fixed to the middle of the upper portion of the mounting frame, a plurality of water wheel blades are mounted on the inner side of a rotating inner ring, and a transmission cable is connected to the lower portion of one side of the mounting frame. Through the ultrasonic effect of the vibration transducer, the binding force between dirt and marine organisms in tide and the blade surface is destroyed, targeted descaling is completed, meanwhile, by moving the vibration transducer, high-frequency micro-vibration is released in a targeted mode, local residual stress is slowly released, and fatigue damage caused by stress accumulation is avoided; and the blade crack and fracture risks caused by periodic strong impact of the tide are reduced.

The invention relates to a water level monitoring and construction production scheduling auxiliary method for a photovoltaic project in an offshore intertidal zone, and is suitable for the technical field of ocean engineering and new energy. The method comprises the steps that water level monitoring data of a water level monitoring network are acquired regularly, and the water level monitoring network is provided with a plurality of water level sensors arranged in a photovoltaic project construction area; generating a full-field water level distribution map based on the water level monitoring data of the water level monitoring network; based on the water level monitoring data of multiple continuous moments between the current t moment and the t-k moment, tide periodic characteristics are extracted; inputting the water level monitoring data and the tide periodicity characteristics at a plurality of continuous moments into a trained tide prediction model, and predicting a water level change trend in a future preset time period; and construction and production scheduling are conducted based on the water level change trend in the future preset time period. According to the method, the adaptive model is trained through multi-source data, and the tide period prediction precision is improved. The sensor layout strategy is optimized according to the geological exploration result, and scientific distribution of monitoring points is realized.

This invention discloses a method and system for collaborative prediction of the Qiantang River tidal bore through reconstruction and decomposition. The method first reconstructs the original irregular tidal event flow by constructing "high tide event pairs" and converting the time differences between tidal events into numerical features, thereby generating a regularized multivariate time series containing tidal level and temporal dynamics. Subsequently, this series is input into a deep learning model integrating adaptive periodic decomposition and multi-scale temporal change learning. This model, through a collaborative prediction decoder, outputs predicted values ​​for future high and low tide levels, high tide duration, and tidal cycle in one go, ultimately restoring the precise tidal bore height and arrival time. This invention transforms the irregular tidal prediction problem into a regular multivariate time series prediction task through data reconstruction, achieving collaborative prediction of tidal bore height and arrival time.

The application discloses a sea current monitoring method and device based on video images, equipment and a storage medium, relates to the technical field of sea current monitoring, and the method comprises the following steps: preprocessing video images of a target sea area, the preprocessing comprising frame processing and optical flow calculation of the video images; extracting spatial features of water surface wave patterns and floating object distribution of the preprocessed video images through a spatial flow network; capturing time sequence features of tidal periods and vortex evolution of the preprocessed video images through a time flow network; fusing the spatial features and the time sequence features as space-time features, and then calculating sea current parameters based on motion vector integration; eliminating noise interference of the sea current parameters based on multi-scale data fusion, and then generating a sea current field distribution model; and monitoring the sea current of the target sea area by using the sea current field distribution model. The application can finely monitor the sea current of the target sea area on a large scale, and the sea current field distribution model can accurately and quickly monitor the sea current, which is more efficient than the prior art.

The invention relates to the technical field of shallow layer curing construction, provides a shallow layer curing construction method and system for a soft foundation in a coastal high tidal zone, and aims at a water cement ratio dynamic design method based on a tidal period and a matched construction control system. The method comprises the following steps: firstly, establishing a tide-underground water level-soil water content coupling model, and dynamically determining a water-cement ratio design value of the soft foundation treatment agent according to the coupling model; converting the design value into a construction control requirement, and guiding a slurry agent ratio, a feeding rate and a stirring process; and finally, implementing through partitioned vertical stirring and a secondary curing process. Through three-stage linkage of design, control and implementation, the problems that a traditional curing method is slow in strength development and poor in uniformity in a high-tide environment are solved, and the purpose of rapidly forming a stable hard shell layer is achieved.

The invention relates to the technical field of corrosion protection and intelligent operation and maintenance of offshore wind power facilities, and discloses an intelligent treatment and control method and system for hydrogen sulfide of an offshore wind power single pile based on a space-time partitioning strategy. Clustering according to the concentration change modes of the monitoring points under different tidal phases to form an initial risk area, and dividing the initial risk area into treatment subareas uniquely corresponding to spatial and temporal positions in combination with a tidal cycle time process. All the treatment subareas are sequenced according to the hydrogen sulfide exposure equivalent accumulated in the unit tidal period to generate a treatment priority sequence, and the treatment execution unit implements differentiated treatment actions on the corresponding subareas according to the sequence. According to the method, the treatment resource delivery and the hydrogen sulfide corrosion risk are aligned in the space-time dimension, excessive treatment in a low-risk space-time area is avoided, and meanwhile the treatment intensity of a high-risk space-time point is guaranteed.

This invention relates to a method for continuous shield tunneling under waterways, belonging to the field of shield tunneling technology for under-waterway tunneling. The method includes: constructing a three-dimensional finite element model based on geological survey data, dividing the geological formation into units and inputting parameters, and dynamically applying tidal water level loads; iteratively updating pore water pressure, effective stress, and formation deformation through a nonlinear adjustment mechanism of elastic modulus-water content function and permeability coefficient, combined with a seepage-stress fully coupled algorithm; embedding the shield tunneling process to simulate the interaction between construction disturbance and tidal loads, optimizing shield construction parameters and water-stopping measures; real-time acquisition of monitoring data, correction of model parameters, and dynamic adjustment of construction parameters; simulating the formation response during multiple tidal cycles, evaluating the long-term cumulative effect of tidal water pressure, and optimizing water-stopping strategies and construction plans.

The invention discloses an offshore converter station hidden area structure damage identification method based on deep learning, and belongs to the technical field of offshore converter station fault detection. The method comprises the following steps: analyzing load distribution generated by periodic water pressure fluctuation at each position point of a hidden area structure according to a water pressure fluctuation time sequence; constructing a pressure transmission path of the hidden area structure; comparing the load intensity of each node on the pressure transmission path to generate a load distribution map, and then constructing a mapping relation between the water pressure load and the hidden area structure load according to the load distribution map to obtain a mapping relation model; and based on the mapping relation model, identifying a potential fatigue damage area of the hidden area structure and predicting a damage change trend of the hidden area structure in a future time period to obtain a structure damage identification result. Therefore, by implementing the method and the device, the problem that the dynamic load influence on the hidden area structure caused by the tidal period is not considered in the prior art and the recognition precision of the structural damage is improved can be solved.

The application provides a calculation method suitable for mixed tide type characteristic tide level value extraction, and comprises the following steps: S1, obtaining original tide level data of consecutive years based on numerical simulation; S2, extracting high tide level data in a tidal period based on the original tide level data; S3, extracting high high tide level data which is greater than that on both sides among consecutive three high tide level data based on the high tide level data; S4, extracting ascending tide level data based on the high tide level data; and S5, calculating average high high tide level by combining the high high tide level and the ascending tide level data. The application is easy to program and realize by decomposing tide level characteristic value extraction steps, and has better applicability under the condition of large data compared with the traditional method. The rest tide level characteristic value extraction and average high tide level extraction ideas are the same, and will not be described here.

The invention relates to the technical field of underwater acoustic signal processing, and discloses a Markov model-based multipath underwater acoustic signal transmission time calculation method, which comprises the following steps of: firstly, executing frequency band conditioning and related processing on an underwater received signal to extract an energy envelope, and mapping the energy envelope into likelihood distribution of a time delay domain to obtain a multipath structure observation parameter; calculating a tide period phase factor according to the signal acquisition time, and establishing a sound channel multipath state evolution model modulated by the phase factor; then, a multipath structure observation parameter is used for driving the model to carry out time sequence recursion, and a confidence coefficient sequence of a first-arrival multipath cluster affiliation state is solved; and finally, carrying out fusion estimation on the preset propagation time delay corresponding to each state by taking the confidence coefficient sequence as a weight, and outputting continuous transmission time. According to the method, jump errors caused by multipath structure time varying due to internal tide can be effectively inhibited, and the stability and precision of transmission time calculation in a complex shallow sea environment are remarkably improved.

The present application provides a method, device and electronic device for detecting chloride ion corrosion of a tidal energy reservoir embankment. The method includes: constructing a simulation model of the chloride ion corrosion process of the tidal energy reservoir embankment to be tested according to the concrete structure information of the tidal energy reservoir embankment to be tested, the seawater environment information of the location of the tidal energy reservoir embankment to be tested and the tidal cycle of the sea area where the embankment is located; based on the simulation model of the chloride ion corrosion process, according to the current service life of the tidal energy reservoir embankment to be tested, determining the chloride ion corrosion detection result of the tidal energy reservoir embankment to be tested. By constructing a simulation model of the chloride ion corrosion process of the tidal energy reservoir embankment to be tested, the model can project the alternating dry and wet periodic changes on both sides of the embankment to achieve the simulation of the chloride ion transport process of the concrete of the tidal energy reservoir embankment to be tested, thereby obtaining real-time and accurate detection results of the chloride ion corrosion degree of the tidal energy reservoir embankment to be tested, which lays a foundation for improving the timeliness of the repair of the tidal energy reservoir embankment to be tested.

The present invention discloses a method and system for predicting the stable morphology of sand-mud mixed shallow-water negative topography. The method comprises: constructing a continuity equation for the evolution of the topography; calculating the total sediment transport rate for each tidal cycle based on the sediment characteristics of the sand-mud percentage, and calculating the change in bed elevation according to the continuity equation for the evolution of the topography; obtaining the spatial variation of the total sediment transport rate for each tidal cycle; if the spatial variation is greater than a set value, updating the data to calculate a new spatial variation of the total sediment transport rate until it is less than or equal to the set value, at which point the calculation is stopped; combining the bed elevation to characterize the topography, assess the geomorphic stability of the negative topography, and predict the erosion or siltation trend of the negative topography. Simplifying the shallow-water negative topography into a one-dimensional form overcomes the computational crash caused by the cumulative error of traditional discrete methods, shortening the calculation time and ensuring the stability of the results of the landform evolution calculation.