8 results about "Submarine landslide" patented technology

The application discloses a submarine landslide multi-source data simulation data preprocessing method, belongs to the technical field of marine geological disaster data processing, and comprises multi-source simulation data aggregation and format normalization. Different types and formats of submarine landslide simulation data are integrated into the same data set and converted into a unified data format. According to the application, multi-source data is subjected to space-time registration in a unified geographic reference framework and time reference. Through topographic data re-projection, time series data interpolation synchronization, and accurate matching of strata and sediment parameters to corresponding land elements, strict alignment of multi-dimensional simulation data in spatial position and time node is realized, different physical processes are ensured to be comparable, fusable and superimposable in the same space-time scale, and the collaborative expression capability of multi-source information in landslide evolution mechanism analysis is significantly enhanced.

The application discloses a submarine landslide multi-source data numerical simulation algorithm and belongs to the technical field of marine geological disaster simulation. The application comprises multi-source data acquisition and preprocessing, collection of multiple types of original data related to submarine landslides, and effective data sources in a unified format through data preprocessing. The application precisely focuses on the feature area playing a key role in landslide evolution by constructing a weighted fusion matrix and introducing an improved convolutional neural network with an attention mechanism, and efficiently extracts core parameters. The application not only realizes deep fusion of multi-source heterogeneous data, but also automatically mines implicit features through deep learning, greatly improves the accuracy and physical interpretability of feature extraction, comprehensively considers multiple boundary conditions such as seawater dynamic load, pore water pressure, contact friction and initial stress, realizes comprehensive description of the complex environment of the seabed, makes the initial state closer to the actual geological conditions, and significantly enhances the physical authenticity of the model.

The application provides a submarine landslide intelligent identification and deformation prediction method based on time sequence multi-beam data. The method takes 2.5 m grid DEM obtained by a ship-borne multi-beam sounding system as input, and automatically extracts single-stage submarine landslide rear edge vector through GST coherence weighting, 3D weighted principal component analysis, three-dimensional Kuwahara filtering and region growing algorithm in turn; then, confidence, trend and geometric type are obtained simultaneously by using feature enhancement vectorization, three-dimensional mapping and attribute calculation, so that fine identification of submarine landslide rear edge is realized. Spatial registration based on features is carried out on different period rear edge lines, displacement, trend and curvature difference are calculated point by point, and finally through time and space sliding window weighted extrapolation, historical difference features are superimposed to the latest rear edge line, the next period prediction rear edge vector is automatically generated, and the automatic identification and deformation prediction of multi-period submarine landslide are completed. The method has the advantages of full automation, few parameters, strong noise resistance, short cycle, integrated identification and prediction and the like.

This invention relates to a method and system for in-situ identification of seabed sediments based on dual-source differential vibration characteristics. The method includes: simultaneously acquiring vibration signals at the power source location and the location of the working component of the engineering equipment; using the vibration signal acquired at the power source location as a reference signal and the vibration signal acquired at the working component location as a hybrid response signal; constructing a dual-source differential correction model to obtain a correction signal; extracting multidimensional sediment vibration characteristics from the correction signal to characterize the dynamic response of the sediments; and using a sediment category identification model based on the multidimensional sediment vibration characteristics to identify the seabed sediment category in situ. This invention achieves continuous in-situ identification of seabed sediments without altering existing seabed drilling, penetration, or piling operations, thereby providing reliable sediment information support for engineering activities such as seabed landslide identification and risk assessment, seabed resource exploration, and seabed infrastructure construction.

The invention discloses a hydrate area submarine landslide risk assessment method based on cascade machine learning, and belongs to the technical field of marine geological disaster prediction. The method comprises the following steps: firstly, acquiring historical landslide data, hydrate occurrence data and various environmental characteristics of a research area, and preprocessing the historical landslide data, the hydrate occurrence data and the various environmental characteristics; constructing a hydrate occurrence data set based on local hydrate data and environmental characteristics, training a neural network model fused with physical constraints, predicting the hydrate occurrence depth of the whole region, and generating a distribution diagram; and finally, fusing the prediction depth as a key feature with an environment feature, constructing an enhanced landslide data set, and training an ensemble learning model by adopting a dynamic weight integration strategy based on a geological landscape unit to complete landslide risk prediction. According to the method, the prediction bottleneck caused by hydrate data scarcity is effectively solved through the cascade architecture, the rationality and robustness of the model are improved through physical constraints, and high-precision and interpretable evaluation of the submarine landslide risk of the hydrate region is realized.

The invention relates to the technical field of marine geological disaster simulation, in particular to seabed landslide simulation experiment equipment which comprises a model box and a landslide model module in the model box. The system is composed of a flexible substrate and a dynamic substrate shaping module below the flexible substrate, the dynamic substrate shaping module adopts independent control actuator units arranged in a matrix mode, and the flexible substrate forms a programmable complex terrain by accurately adjusting the output height of each unit; the equipment is integrated with a wave generation module and a vibration loading device to realize multi-field coupling load simulation, and a landslide evolution process is monitored in real time through a data acquisition module consisting of a distributed optical fiber sensing network and a high-speed camera; the technical problem that a traditional seabed landslide simulation experiment device cannot simulate a complex geological structure and a multi-factor coupling trigger mechanism is solved, and high-precision reduction and mechanism analysis of the gradual damage process of the seabed landslide are achieved.

The application discloses a kind of submarine landslide impact pipeline or pile lifting rotary simulation device and its working method, belong to marine engineering test technical field.Device includes water tank, liftable gate, slope, miniature hydraulic cylinder, pipeline lifting rotary module and data acquisition module.Water tank is divided into landslide release area and impact test area by gate;Pipeline lifting rotary module includes annular rotary base, support column, rotator and rack lifter, can realize simulation pipeline horizontal plane rotation, vertical plane inclination adjustment and height adjustment, simulate different span height and impact angle;Through disassembling fixed base and lug base bolt, pipeline can be quickly converted into pile structure.Data acquisition module includes pressure sensor, strain sensor, PIV camera and laser, for synchronous acquisition impact load, structure response and flow field information.The application can flexibly adjust pipeline space posture, realize pipeline and pile test object conversion, effectively improve test efficiency and multi-parameter research ability.

The invention relates to the technical field of marine geological disaster monitoring, and discloses an in-ocean solitary wave triggered submarine landslide risk monitoring device and a use method thereof. The hydraulic driving mechanism is arranged in the outer frame and used for driving the outer frame to move in the vertical direction. The monitoring sensing array is arranged in the outer frame and comprises an oil bag compensation bin located at the top, a penetration conical tip located at the bottom, a plurality of natural potential sensing sections located between the oil bag compensation bin and the penetration conical tip and a plurality of pore water temperature and pressure sensing sections located between the oil bag compensation bin and the penetration conical tip. The vibration injection assembly is arranged in the outer frame and used for outputting exciting force in the vertical direction. The number of the pore water temperature and pressure sensing sections and the number of the natural potential sensing sections can be flexibly increased or decreased according to monitoring requirements of different sea areas, and the whole structure does not need to be reconstructed; the technical problems that an existing integrated structure is poor in adaptability and high in improvement cost are solved. And injection and recovery are stable and reliable, the environment and operation adaptability is outstanding, and the recovery efficiency and the operation reliability in the complex marine environment are remarkably improved.