24 results about "Storm tide" patented technology

The invention discloses an estuary coast embankment risk early warning evaluation system and method under composite disaster-inducing factors, and relates to the technical field of hydraulic engineering safety monitoring and risk evaluation. Comprising a multi-source data acquisition module, a data preprocessing module, a dynamic index system construction module, an adaptive weight determination module, a risk assessment module, a refined early warning grade division module and a visual decision support module. Real-time sensing, quantitative evaluation and graded early warning of the dike safety state are achieved, the method can be directly applied to coastal city disaster prevention and reduction, dike project full-life-cycle operation and maintenance, major storm surge disaster emergency response and other scenes, the technical bottlenecks of single disaster-inducing factor, static weight and insufficient early warning precision in a traditional evaluation method are effectively broken through, and the method has a wide application prospect. And a precise technical support is provided for the safety protection of the estuary coast embankment.

The application discloses a nearshore disaster-bearing body disaster-causing path tracing method based on digital-analog experiments, relates to the technical field of ocean dynamic disaster simulation, determines the ocean dynamic disaster characteristics of a nearshore research area, integrates multi-source historical disaster data, real-time monitoring data and disaster-bearing body background data, and constructs a time-space correlation database; based on a three-dimensional ocean and a third-generation sea wave model, a nearshore storm surge-sea wave coupling numerical model is established and verified. Through the construction of the storm surge-sea wave coupling numerical model, the present application comprehensively considers the nonlinear interaction of multiple disasters, introduces an energy conservation equation to quantify the generation, transmission and dissipation process of disaster energy, solves the limitations of traditional single-disaster linear models, and combines the real-time feedback of the three-dimensional dynamic model of the disaster-bearing body to form a closed energy-damage correlation mechanism, significantly improves the tracing accuracy of the disaster chain propagation path, and ensures that the identification of key nodes and dominant paths is more consistent with physical reality.

The present application relates to a kind of simple calculation method of shallow foundation and clay seabed interface failure time under extreme storm surge action.The technical scheme is: measuring the roughness R of shallow foundation a , making structure;Collecting seabed clay at shallow foundation, carrying out dynamic simple shear test, test structure and the initial undrained shear strength S of clay interface u ;Select and set 0.4S u , 0.6S u , 0.8S u And 1S u As the typical amplitude of extreme storm surge load;Measured structure and the corresponding period number N of clay interface failure;Fitting extreme storm surge load amplitude and period number N logarithmic curve;According to wave force calculation formula, load amplitude is calculated;The amplitude is substituted into logarithmic curve and the corresponding period number N of interface failure and failure time are obtained.The present application can calculate the failure time of shallow foundation and seabed interface under extreme storm surge, provide the time length of shallow foundation against storm surge, determine the stability of shallow foundation, provide feedback for whether the shallow foundation of engineering site needs to be reinforced to resist extreme storm surge.

This invention discloses a method for determining the bottom deck elevation of an offshore platform, mainly comprising the following steps: collecting and processing relevant data such as wave and tide levels in the engineering area; selecting appropriate samples; considering the joint probability distribution of storm surge and wave-related marine hydrological environmental elements; generating an environmental envelope; and then obtaining the joint return period design parameters of relevant marine hydrological environmental elements from the environmental envelope, which are then used to calculate and determine the bottom deck elevation of the offshore platform. This invention reasonably considers the characteristic laws of important marine hydrological environmental elements in setting the bottom deck elevation of an offshore platform, and uses the idea of ​​statistical modeling of the joint distribution of marine hydrological environmental elements to construct environmental envelopes under different return periods. It can conveniently select the joint return period design parameters of marine hydrological environmental elements and obtain appropriate combinations of environmental parameter return values. The scheme is simple and easy to implement, with clear and reasonable engineering significance, and can effectively guide the design of actual engineering structures.

The invention provides an R-KGCN emergency disposal method for the silt danger of a floating wing suspension door in the storm surge period of a super-huge tide gate. According to the method, a system framework covering knowledge modeling, reasoning definition and reasoning optimization is constructed on the basis of a relationship-enhanced knowledge graph convolutional network, and structured expression and intelligent reasoning of sediment disaster emergency disposal knowledge are realized. The method comprises the following main technical links: (1) constructing a knowledge graph mode layer and a data layer oriented to a sediment disaster scene, and establishing a'feature-event-disposal 'ternary model and a hierarchical relationship; (2) proposing a structured reasoning problem definition framework of an emergency processing task, and supporting modeling requirements of multi-source, multi-scale and multi-relation semantics; (3) designing an R-KGCN inference algorithm integrated with a semantic relationship enhancement module, and improving the accuracy and interpretability of inference; and (4) forming a knowledge reasoning and intelligent recommendation method oriented to sediment dangerous cases, and providing decision support and emergency response guarantee for operation scheduling of the oversize tide gate.

The application discloses a storm surge inundation area grading early warning method and system, and relates to the technical field of data processing. The method comprises the following steps: S1, multi-source data preprocessing: through multi-source heterogeneous data collection, space-time reference unification and quality grading processing, a standardized data set is obtained, wherein the quality grading result is used for weight distribution of subsequent feature extraction; S2, dynamic feature extraction; S3, initial inundation prediction; S4, deviation self-adaptive correction; S5, grading threshold adaptation; S6, grading early warning release and feedback. Through the sub-steps of multi-source heterogeneous data collection, space-time reference unification and quality grading processing, the application realizes effective integration of multi-source data. The unified space-time reference ensures the consistency of data, the three-level quality grading standard clearly defines the use priority of data, improves the utilization rate and reliability of data, and lays a solid foundation for subsequent feature extraction and model prediction.

The invention provides a mechanism digital twinning construction method and system for marine disaster safety analysis, and the method comprises the steps: constructing a two-dimensional and three-dimensional space-time digital twinning base, and forming a two-dimensional and three-dimensional space-time data set; determining a target area and influence factors causing the storm surge of the target area; based on an ADCIRC and SWAN coupling model, constructing a storm surge disaster prediction mechanism model matched with the target area features so as to predict water level and flow velocity data of each grid point; constructing a virtual meteorological model by combining the terrain and meteorological data of the target area; key airflow change points are extracted based on the virtual meteorological model, an adjustment coefficient corresponding to the current position area is calculated according to airflow change characteristics of the key airflow change points, and water level and flow velocity data of each grid point at the corresponding position are optimized and regulated based on the adjustment coefficient corresponding to each key airflow change point; the prediction mechanism model is embedded into a two-dimensional and three-dimensional space-time digital twinning base, and mechanism digital twinning of marine disaster safety analysis is achieved.

The utility model provides an anti-storm-surge integrated monitoring marker structure, which belongs to the technical field of anti-storm-surge monitoring markers and comprises an electro-galvanized steel pipe, a foundation structure, a heat dissipation case, a communication component and a rotatable support, the electro-galvanized steel pipe is fixed at the top of the foundation structure, the heat dissipation case is fixed at the bottom of the foundation structure, and the rotatable support is fixed at the bottom of the foundation structure. The foundation structure is fixed in an existing foundation; the rotatable bracket is fixed on the electro-galvanized steel pipe through a bidirectional hoop and is used for keeping stable under the action of external force; the heat dissipation case is fixed on the electro-galvanized steel pipe, the outer layer of the heat dissipation case adopts a shutter structure and is used for preventing water, ventilating and balancing internal and external air pressure, and the interior of the heat dissipation case adopts a separated cabin isolation design; the utility model provides an anti-storm surge integrated monitoring marker structure which can solve the problems that an existing monitoring marker is prone to loss and short in service cycle, and parts are fixedly arranged, replaced and maintained difficultly.

The invention discloses a storm surge inundation range identification method and system based on a multi-source remote sensing image, and particularly relates to the field of image analysis, and the method comprises the steps: obtaining a pre-disaster and post-disaster image and digital elevation model data in a target region, carrying out the feature extraction and multi-source image fusion, generating a broad-spectrum suspected inundation region image, and carrying out the recognition of a storm surge inundation range; according to the pre-disaster optical image, a complex underlying surface area is identified from the broad-spectrum suspected submerged area image, and a corresponding binary mask image is obtained; for each complex underlying surface area, texture feature analysis and pixel-level classification are respectively carried out, and an actual water body area is identified; and according to the actual water body area of each complex underlying surface area, generating a preliminary submerging range map, and performing terrain connectivity analysis on the preliminary submerging range map to generate a final storm surge submerging range map. According to the invention, based on the pre-disaster and post-disaster images of the storm surge, texture interferences of different complex underlying surfaces in the images can be filtered in a targeted manner, so that the accuracy and reliability of storm surge range identification can be improved.

An eco-friendly seawall comprises a seawall open caisson foundation, a stepped revetment, riprap protection feet, a seawall front wavebreak forest, a seawall rear windbreak forest and a seawall top footpath. A stepped revetment is arranged above the seawall open caisson foundation, and the stepped revetment is composed of a stepped concrete revetment and modularized prefabricated concrete steps; a plurality of drainage pipes are arranged at the bottom of the stepped concrete protection slope; drainage ports of the drainage pipes are arranged in the breakwater front wave-proof forest; the prefabricated concrete step comprises a viewing platform on the uppermost layer and a plurality of concrete planting pools arranged below the viewing platform in a stepped manner; riprap protection feet are arranged on the outer side of the stepped revetment, and the ripraps are covered with sandy soil for planting a breakwater wavebreak forest; and the inner side of the stepped revetment is sequentially provided with an embankment rear windbreak forest and an embankment top footpath. The seawall integrates ecological restoration, landscaping, moisture prevention and disaster reduction, and the function of coping with storm surge is reserved while the seawall is landscaped.

A system for lifting a structure above flood water during storm surges and other severe weather events wherein the structure has a reinforced support frame that is slidably attached to multiple vertical poles positioned around the structure. The structure may be raised up and down the poles using an automated lifting mechanism or by one or more floating pontoons secured below the structure that rise and fall with any flood waters.

This product offers excellent drainage, prevents the accumulation of sand and debris, and is highly user-friendly. Furthermore, it provides a high-tide protection vehicle stopper that can withstand storm surges. [Solution] A high tide countermeasure vehicle stopper is provided by attaching a sheet holding member (11) to the lower end of the land side (1a) of a rectangular steel pipe (1) which is installed floating above the ground surface (G) so as to form a gap between it and the ground surface (G). The sheet holding member (11) has a sheet member (2) that closes the gap and has its tip wrapped towards the sea side (S) to contact the ground surface (G), a comb-shaped holding part (11a) that holds the tip of the sheet member (2) so as not to be pushed towards the land side by seawater, a plurality of openings (11b) provided adjacent to the holding part (11a) that do not obstruct rainwater from the land side from flowing to the sea side S, and three L-shaped fixing parts (11c) that are fixed to the ground surface (G) on the land side.

The invention discloses a storm surge disaster key defensive area selection method and system based on a quantile method, and relates to the technical field of disaster management, and the method comprises the steps: carrying out the multi-scale simulation based on atmospheric circulation, nearshore hydrodynamic force, regional submergence and building damage for a to-be-managed whole domain, and constructing a multi-scale nested twinborn model; constructing a quantile curved surface based on a quantile dimension, constructing a simulation selector by using the multi-scale nested twin model and the quantile curved surface, performing two-way simulation deduction and quantile decision on a source data set from a plurality of monitoring source ends, determining a defensive area, visualizing the defensive area on a terminal interface, and performing disaster prevention and control early warning management. The method and the system are used for solving the technical problem that an intelligent and flexible disaster deduction decision-making system is lacked in the prior art to solve the technical problem that the emergency response capability of disaster prevention and control is poor due to the fact that the selection and division precision of a defensive area is limited, and the selection and division precision of the defensive area can be effectively improved.

The invention discloses an improved polynomial RBF (Radial Basis Function) network short-time storm surge prediction method, belongs to the technical field of storm surge prediction, and solves the problems that an existing radial basis function neural network is difficult to process non-static data and insufficient in peak capture during storm surge water increase prediction. Determining an order matched with an input factor in the preprocessed associated data set, and performing short-term storm surge water increase prediction on the input factor in the preprocessed associated data based on a polynomial RBF network model; according to the embodiment of the invention, the polynomial radial basis function is introduced to optimize the traditional RBF neural network, the prediction precision and peak capture capability of storm surge water increase are remarkably improved, and the method can dynamically adapt to the change of non-static data, so that the data distribution changing along with time is effectively processed, and especially in an extreme meteorological event, the prediction precision of storm surge water increase is greatly improved. And the peak value of the storm surge can be predicted more accurately.

This invention discloses a method and system for identifying storm surge inundation ranges based on multi-source remote sensing imagery, particularly relating to the field of image analysis. The method includes: acquiring pre- and post-disaster images and digital elevation model (DEM) data within a target area; performing feature extraction and multi-source image fusion to generate a broad-spectrum suspected inundation area image; identifying complex underlying surface regions from the broad-spectrum suspected inundation area image based on pre-disaster optical images and obtaining corresponding binary mask images; performing texture feature analysis and pixel-level classification on each of the complex underlying surface regions to identify the actual water body regions; generating a preliminary inundation range map based on the actual water body regions of each complex underlying surface region; and performing terrain connectivity analysis on the preliminary inundation range map to generate a final storm surge inundation range map. This application can selectively filter out texture interference from different complex underlying surfaces in images based on pre- and post-disaster storm surge images, thereby improving the accuracy and reliability of storm surge range identification.

The application relates to the technical field of disaster early warning, in particular to a marine disaster risk prevention and control early warning system. The system comprises a data fusion module, a risk prediction module, a risk assessment module and an early warning release module. The data fusion module is used for collecting data in real time from various channels and performing standardized preprocessing and fusion. The risk prediction module is used for predicting storm surge risks by using a space-time graph neural network component, a physical information neural network component and a hierarchical deep neural network component contained in the fused data. The risk assessment module is used for receiving generated storm surge risk prediction data, combining vulnerability information of disaster-bearing bodies, assessing disaster risk severity, and determining corresponding risk levels. The early warning release module is used for generating corresponding early warning information based on the determined risk levels and releasing the early warning information through multiple channels. The system converts high-fidelity prediction results into operable risk assessment, automatically generates and releases storm surge early warning, and overcomes the limitations of the prior art in storm surge prediction accuracy, physical authenticity and long-term stability.

The invention provides a storm surge dam overtopping risk dynamic assessment method fused with multi-source remote sensing data, and relates to the technical field of risk prediction. The method comprises the following steps: collecting multi-source observation data of each stage of storm surge, uniformly preprocessing, and constructing a standardized multi-dimensional time sequence state vector; a disturbance seed function is introduced to construct a feature enhancement module, local response changes are extracted in a disturbance window, a disturbance response sequence is generated, frequency domain offset reconstruction is carried out, and a spectrum stability index is established to enhance feature robustness; in combination with a disturbance response path and a non-normalized enhancement factor, context feature mapping decoding is guided, and risk area response focusing is realized; a disturbance feedback dynamic strategy optimization mechanism is designed, disturbance amplitude modulation, channel adjustment and threshold control strategies are fused, and the risk score prediction precision is improved; and a joint loss function is constructed, the spectrum disturbance consistency and the risk scoring error are jointly optimized, and the identification and dynamic prediction performance of the potential dam overtopping risk in the complex environment is significantly enhanced.

The invention discloses a storm surge risk prediction method, computer equipment and a storage medium, and relates to the technical field of disaster assessment, and the method comprises the steps: carrying out the spatial-temporal feature extraction of target multi-source heterogeneous meteorological data of a to-be-measured coastal region in a current time period, generating a meteorological spatial-temporal feature matrix, and inputting the meteorological spatial-temporal feature matrix into a submerging grid prediction model, capturing a non-linear association relationship between different meteorological data sources and time steps from the meteorological spatial-temporal feature matrix, obtaining a deep feature map representing the non-linear association relationship, performing submerged grid number prediction on the deep feature map, and obtaining a submerged grid number output by the submerged grid prediction model within a future preset duration; and recovering the number of submerged grids to an original data scale to obtain an actual number of submerged grids in a future preset time length, performing storm surge risk prediction on the actual number of submerged grids, and generating and issuing risk early warning information of a corresponding level. According to the method, the prediction precision, the prediction efficiency and the early warning refinement degree of storm surge prediction can be improved, and the model adaptability is also improved.

The application discloses a coastal city road anti-seawater backflow and salt mist corrosion protection method and system, comprising: through collecting multi-dimensional data such as salt mist concentration, seawater backflow history, road structure characteristics, protection layer thickness and meteorological elements, outputting corrosion degree grades at different time nodes through a salt mist corrosion progressive prediction model, generating a salt mist diffusion thermal map by using a salt mist diffusion trajectory tracking algorithm, calculating seawater backflow related data through a storm tide surge coupling algorithm, importing the data into a road moisture-proof protection decision platform, and carrying out multi-factor coupling analysis combined with parameters such as corrosion resistance threshold of protection materials and structure anti-permeability coefficient, finally outputting targeted adjustment instructions for protection layer repair, drainage system optimization, corrosion-resistant coating spraying and interception facility layout. The application realizes accurate and intelligent formulation of the protection scheme, and effectively improves the protection efficiency of the coastal city road against seawater backflow and salt mist corrosion.