A Yellow River Coast Morphological Change Monitoring System Based on Big Data

Abstract

A Yellow River coast morphological change monitoring system based on big data relates to the technical field of data monitoring, and comprises a main control center, wherein the main control center is communicatively connected with a map construction module, a remote sensing monitoring module, a coast simulation module, a data monitoring module, a model construction module, and a morphological visualization module; a GIS distribution map is constructed, remote sensing data is obtained and coast characteristic information is extracted, a simulation cycle is set, periodic characteristic information of different simulation cycles is obtained, a coast simulation map is constructed in combination with the GIS distribution map and a comprehensive coast simulation map is obtained, data monitoring points are set, flow velocity data and flow direction data of the data monitoring points and their siltation area and erosion area are obtained, a morphological prediction model is constructed and subsequent morphological changes are predicted, and subsequent morphological changes are visualized; the morphological changes of the Yellow River delta can be effectively predicted, and relevant personnel can obtain the morphological changes in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a Yellow River coast morphological change monitoring system based on big data. Background Art

[0002] Monitoring the morphological changes of the Yellow River coast is a comprehensive project involving multiple technical and data processing levels. It uses satellite and aerial images to obtain high-resolution images of the coastline, clarifies the collected data, removes noise and invalid information, ensures data quality, and ultimately establishes a data-based dynamic model of coastline change. These models can predict future trends and provide a scientific basis for relevant decision-making;

[0003] In the prior art, since the Yellow River Delta is always in dynamic change, how to realize the visualization of the Yellow River Delta is an urgent problem to be solved. In the prior art, the monitoring of the morphological changes of the Yellow River Delta can often only monitor the changes that are taking place, but cannot effectively predict its subsequent morphological changes. In view of the shortcomings of the prior art, the present invention provides a Yellow River coast morphological change monitoring system based on big data. Summary of the invention

[0004] The purpose of the present invention is to provide a Yellow River coast morphological change monitoring system based on big data.

[0005] The object of the present invention can be achieved by the following technical solutions: A Yellow River coast morphological change monitoring system based on big data, comprising a main control center, wherein the main control center is communicatively connected with a map construction module, a remote sensing monitoring module, a coast simulation module, a data monitoring module, a model construction module, and a morphological visualization module;

[0006] The map construction module is used to collect geographic information of the Yellow River Delta and construct a GIS distribution map of the Yellow River Delta based on the collected geographic information using GIS technology;

[0007] The remote sensing monitoring module is used to collect remote sensing data of the Yellow River Delta, perform clarity processing on the collected remote sensing data to obtain corresponding usable remote sensing data, and extract coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data;

[0008] The coastal simulation module is used to set the simulation period, divide the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, construct a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map, and superimpose the coastal simulation maps of different simulation periods to obtain a comprehensive coastal simulation map;

[0009] The data monitoring module is used to set a number of data monitoring points in the Yellow River Delta, monitor the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data, and obtain the siltation area and erosion area of ​​the Yellow River Delta under different flow velocity data and flow data in the comprehensive coastal simulation map in combination with the set data monitoring points, and construct the morphological change set of each data monitoring point respectively;

[0010] The model building module is used to build a morphological prediction model of the data monitoring point according to the obtained morphological change set, collect the current river flow velocity and river flow direction, and use the built morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta;

[0011] The morphological visualization module is used to visualize the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta.

[0012] Furthermore, the map construction module collects geographic information of the Yellow River Delta, and the process of using GIS technology to construct a GIS distribution map of the Yellow River Delta according to the collected geographic information includes:

[0013] A collection unit is provided to collect geographic information of the Yellow River Delta, and a GIS distribution map of the Yellow River Delta is constructed based on the collected geographic information using GIS technology. The GIS distribution map is used to reflect the geographical situation of the Yellow River Delta in the form of a map.

[0014] Furthermore, the remote sensing monitoring module collects remote sensing data of the Yellow River Delta, performs clarity processing on the collected remote sensing data to obtain corresponding usable remote sensing data, and extracts coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data, including:

[0015] A remote sensing unit is provided, remote sensing data of the Yellow River Delta is collected by the remote sensing unit, and the remote sensing data is processed to obtain usable remote sensing data, wherein the processing includes image enhancement, contrast enhancement, sharpening, noise removal, filtering, wavelet denoising, and image fusion;

[0016] The coastal characteristic information of the Yellow River Delta is extracted based on the available remote sensing data, and the coastal characteristic information includes river bank morphology, shoreline erosion and siltation, river width change, sediment type and distribution, riverbed morphology, and vegetation cover change.

[0017] Furthermore, the coastal simulation module sets a simulation period, divides the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, constructs a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map, and superimposes the coastal simulation maps of different simulation periods to obtain a comprehensive coastal simulation map. The process includes:

[0018] Setting a simulation cycle, dividing the coastal characteristic information belonging to the same simulation cycle into the same period characteristic information, and taking the coastal characteristic information obtained last in each period characteristic information as the period representative information of the simulation cycle;

[0019] The representative information of each simulation period is integrated into the GIS distribution map to obtain the coastal simulation map of each simulation period, and the coastal simulation maps of different simulation periods are superimposed on the GIS distribution map to obtain the comprehensive coastal simulation map of the Yellow River Delta.

[0020] Furthermore, the data monitoring module sets a plurality of data monitoring points in the Yellow River Delta, and the process of respectively monitoring the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data includes:

[0021] In the comprehensive coastal simulation map, the intersection points between the coastal simulation maps of the most recent several simulation cycles are taken as data monitoring points. Flow velocity monitoring units and flow direction monitoring units are respectively set in the data monitoring points to obtain the flow velocity data and flow data of the data monitoring points, and the flow velocity data and flow direction data are respectively bound to their data monitoring points.

[0022] Furthermore, the data monitoring module obtains the siltation area and erosion area of ​​the Yellow River Delta under different flow velocity data and flow data in combination with the set data monitoring points in the comprehensive coastal simulation map, and the process of constructing the morphological change set of each data monitoring point includes:

[0023] The data monitoring points are uploaded to the comprehensive coastal simulation map in real time for synchronization, and a data monitoring circle of each data monitoring point is constructed with the data monitoring point as the center and a fixed distance as the radius to obtain the land area and water area of ​​the data monitoring circle in the current simulation cycle and the previous simulation cycle;

[0024] The land area and water area of ​​the data monitoring circle in two adjacent simulation cycles are superimposed, and the erosion area and its erosion area and the siltation area and its siltation area are obtained. The siltation area and erosion area as well as the flow velocity data and flow rate data of each data monitoring point are included in its morphological change set.

[0025] Furthermore, the model building module builds a morphological prediction model of the data monitoring point according to the obtained morphological change set, collects the current river flow velocity and river flow direction, and uses the constructed morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta. The process includes:

[0026] A deep learning model is selected as the initial morphological prediction model, and the obtained morphological change set is used to train and evaluate the initial morphological prediction model to obtain the latest morphological prediction model, and the real-time velocity data and real-time flow data of each data monitoring point are obtained. The real-time velocity data and real-time flow data are input into the morphological prediction model, and the subsequent siltation area and subsequent erosion area of ​​each data monitoring point are predicted by the morphological prediction model;

[0027] All subsequent sedimentation areas and subsequent erosion areas are integrated to obtain the corresponding subsequent morphological changes, which are used to reflect the total sedimentation area and total erosion area of ​​the Yellow River Delta in the next simulation cycle.

[0028] Furthermore, the process of the morphological visualization module visualizing the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta includes:

[0029] Based on the latest coastal simulation map in the comprehensive coastal simulation map, the land area and water area within the data monitoring circle of each data monitoring point are adjusted according to the subsequent siltation area and subsequent erosion area, and the coastal simulation map obtained after visualization processing is used as the visual coastal simulation map, and the obtained visual coastal simulation map is fed back to relevant personnel.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention constructs a GIS distribution map of the Yellow River Delta, obtains corresponding coastal feature information based on remote sensing data of the Yellow River Delta, combines the GIS distribution map with the coastal feature information to construct a comprehensive coastal simulation map of the Yellow River Delta, and can intuitively obtain the morphological changes of the Yellow River Delta. Dynamically changing data monitoring points are set to obtain corresponding flow velocity data and flow direction data through the data monitoring points, and the siltation area and erosion area under different flow velocities and flow directions are obtained. According to the corresponding relationship, a morphological prediction model of the Yellow River Delta is constructed, and the morphological changes of the Yellow River Delta can be effectively predicted based on various data monitored in real time, and the predicted subsequent morphological changes can be visualized, which is beneficial for relevant personnel to obtain the morphological changes of the Yellow River Delta in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0033] like Figure 1 As shown, a Yellow River coast morphological change monitoring system based on big data includes a main control center, and the main control center is communicatively connected with a map construction module, a remote sensing monitoring module, a coast simulation module, a data monitoring module, a model construction module, and a morphological visualization module;

[0034] The map construction module is used to collect geographic information of the Yellow River Delta and construct a GIS distribution map of the Yellow River Delta based on the collected geographic information using GIS technology;

[0035] The remote sensing monitoring module is used to collect remote sensing data of the Yellow River Delta, perform clarity processing on the collected remote sensing data to obtain corresponding usable remote sensing data, and extract coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data;

[0036] The coastal simulation module is used to set the simulation period, divide the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, construct a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map, and superimpose the coastal simulation maps of different simulation periods to obtain a comprehensive coastal simulation map;

[0037] The data monitoring module is used to set a number of data monitoring points in the Yellow River Delta, monitor the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data, and obtain the siltation area and erosion area of ​​the Yellow River Delta under different flow velocity data and flow data in the comprehensive coastal simulation map in combination with the set data monitoring points, and construct the morphological change set of each data monitoring point respectively;

[0038] The model building module is used to build a morphological prediction model of the data monitoring point according to the obtained morphological change set, collect the current river flow velocity and river flow direction, and use the built morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta;

[0039] The morphological visualization module is used to visualize the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta.

[0040] It should be further explained that, in the specific implementation process, the map construction module collects geographic information of the Yellow River Delta, and the process of using GIS technology to construct a GIS distribution map of the Yellow River Delta based on the collected geographic information includes:

[0041] A collection unit is provided, and geographic information of the Yellow River Delta is collected by the collection unit, wherein the geographic information refers to various data that can reflect the geographical conditions of the Yellow River Delta, including but not limited to topographic features, soil types, water distribution, vegetation coverage, land use, etc.;

[0042] GIS technology is used to construct a GIS distribution map of the Yellow River Delta based on the collected geographic information. The GIS distribution map is used to reflect the geographical conditions of the Yellow River Delta in the form of a map. At this time, the GIS distribution map only includes the terrain characteristics, soil types, water distribution, vegetation coverage, land use and other geographical conditions of the Yellow River Delta.

[0043] It should be further explained that, in the specific implementation process, the remote sensing monitoring module collects remote sensing data of the Yellow River Delta, clarifies the collected remote sensing data to obtain corresponding usable remote sensing data, and extracts coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data. The process includes:

[0044] A remote sensing unit is provided, and remote sensing data of the Yellow River Delta is collected through the remote sensing unit. The remote sensing data is optical image data of the Yellow River Delta, specifically in the form of images, including images of different bands. At this time, the collected remote sensing data is still in an initial form and needs to be processed for clarity accordingly;

[0045] The purpose of performing clear processing on remote sensing images is to enhance the visual quality and information extraction effect of the images. The clear processing includes image enhancement, contrast enhancement, sharpening, noise removal, filtering, wavelet denoising, image fusion, etc. The clear processed remote sensing data is marked as usable remote sensing data;

[0046] The coastal characteristic information of the Yellow River Delta is extracted based on the available remote sensing data. The coastal characteristic information refers to various characteristic information that can reflect the changes in the morphology of the Yellow River coast, including riverbank morphology, shoreline erosion and siltation, river width changes, sediment type and distribution, riverbed morphology, vegetation cover changes, etc.

[0047] It should be further explained that, in the specific implementation process, the coastal simulation module sets a simulation period, divides the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, and constructs a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map. The coastal simulation maps of different simulation periods are superimposed to obtain a comprehensive coastal simulation map. The process includes:

[0048] Set a simulation cycle. When a simulation cycle is reached, divide the obtained coastal feature information once, divide the coastal feature information belonging to the same simulation cycle into the same set, and mark it as period feature information. The last coastal feature information obtained in each period feature information is used as the period representative information of the simulation cycle.

[0049] Taking any simulation period as an example, based on the GIS distribution map of the Yellow River Delta, the period representative information of the simulation period is integrated into the basic GIS distribution map, and the river bank morphology, shoreline erosion and siltation, river width change, sediment type and distribution, riverbed morphology, and vegetation cover change in the period representative information are rendered into the GIS distribution map of the Yellow River Delta to obtain the coastal simulation map of the simulation period;

[0050] The same method was adopted to obtain the coastal simulation maps of different simulation periods, which were superimposed on the same GIS distribution map to obtain a comprehensive coastal simulation map of the Yellow River Delta, and each coastal simulation map in the comprehensive coastal simulation map was bound to its corresponding simulation period.

[0051] It should be further explained that, in the specific implementation process, the data monitoring module sets a number of data monitoring points in the Yellow River Delta, and the process of respectively monitoring the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data includes:

[0052] In the embodiment of the present invention, the number of data monitoring points changes dynamically, and the setting rules are as follows: in the comprehensive coastal simulation map, the intersections between the coastal simulation maps of the most recent several simulation cycles are used as data monitoring points. As the coastal simulation map is updated, its data monitoring points are also continuously updated, and the total number changes dynamically;

[0053] A flow velocity monitoring unit and a flow direction monitoring unit are respectively set in the data monitoring point, and the river water flow velocity and river water flow direction of the corresponding data monitoring point are respectively monitored by the flow velocity monitoring unit and the flow direction monitoring unit to obtain the corresponding flow velocity data and flow data, and the obtained flow velocity data and flow direction data are respectively bound to the corresponding data monitoring point.

[0054] It should be further explained that, in the specific implementation process, the data monitoring module combines the set data monitoring points in the comprehensive coastal simulation map to obtain the siltation area and erosion area of ​​the Yellow River Delta under different flow velocity data and flow data, and the process of constructing the morphological change set of each data monitoring point includes:

[0055] The set data monitoring points are uploaded to the constructed comprehensive coastal simulation map in real time for synchronization. Taking any data monitoring point as an example, a data monitoring circle of the data monitoring point is constructed with the data monitoring point as the center and a fixed distance R as the radius, and the land area and water area of ​​the data monitoring circle in the current simulation cycle and the previous simulation cycle are obtained;

[0056] The land area and water area of ​​the data monitoring circle in two adjacent simulation cycles are superimposed, and the area where the land area changes to the water area is marked as the erosion area, and the erosion area is obtained; the area where the water area changes to the land area is marked as the sedimentation area, and the sedimentation area is obtained; the sedimentation area and erosion area of ​​the data monitoring point and the current flow velocity data and flow data of the data monitoring point are included in the same set and marked as the morphological change set of the data monitoring point.

[0057] It should be further explained that, in the specific implementation process, the model building module builds a morphological prediction model of the data monitoring point according to the obtained morphological change set, collects the current river flow velocity and river flow direction, and uses the constructed morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta. The process includes:

[0058] A deep learning model is selected as the initial morphological prediction model, and the morphological change set of each data monitoring point obtained is divided into a training set and a test set. The initial morphological prediction model is trained using the divided training set, and the trained morphological prediction model is obtained by learning the correspondence between the siltation area and the erosion area under different flow velocity data and flow data in the morphological change set. The trained morphological prediction model is evaluated using the divided test set to obtain an optimized morphological prediction model, and the optimized morphological prediction model is continuously trained and evaluated to obtain the latest morphological prediction model.

[0059] Taking any data monitoring point as an example, the current river water velocity and river water flow direction of the data monitoring point are respectively collected to obtain corresponding real-time flow velocity data and real-time flow data, and the obtained real-time flow velocity data and real-time flow data are input into the constructed morphological prediction model, and the subsequent siltation area and subsequent erosion area of ​​the data monitoring point are predicted by the morphological prediction model;

[0060] The same method is adopted to obtain the subsequent sedimentation area and subsequent erosion area of ​​each data monitoring point, and all the subsequent sedimentation areas and subsequent erosion areas obtained are integrated to obtain the corresponding subsequent morphological changes, which are used to reflect the total sedimentation area and total erosion area of ​​the Yellow River Delta in the next simulation cycle.

[0061] It should be further explained that, in the specific implementation process, the process of the morphological visualization module visualizing the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta includes:

[0062] Based on the latest coastal simulation map in the comprehensive coastal simulation map, the subsequent siltation area and subsequent erosion area of ​​each data monitoring point are visualized. The visualization processing refers to adjusting the land area and water area within the data monitoring circle of each data monitoring point according to the subsequent siltation area and subsequent erosion area, and using the coastal simulation map obtained after the visualization processing as a visual coastal simulation map, and the obtained visual coastal simulation map is fed back to relevant personnel.

[0063] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A Yellow River coast morphological change monitoring system based on big data, characterized in that: It includes a main control center, which is communicatively connected with a map construction module, a remote sensing monitoring module, a coast simulation module, a data monitoring module, a model construction module, and a morphological visualization module; The map construction module is used to collect geographic information of the Yellow River Delta and construct a GIS distribution map of the Yellow River Delta based on the collected geographic information using GIS technology; The remote sensing monitoring module is used to collect remote sensing data of the Yellow River Delta, perform clarity processing on the collected remote sensing data to obtain corresponding usable remote sensing data, and extract coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data; The coastal simulation module is used to set the simulation period, divide the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, construct a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map, and superimpose the coastal simulation maps of different simulation periods to obtain a comprehensive coastal simulation map; The data monitoring module is used to set a number of data monitoring points in the Yellow River Delta, monitor the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data, and obtain the siltation area and erosion area of ​​the Yellow River Delta under different flow velocity data and flow data in the comprehensive coastal simulation map in combination with the set data monitoring points, and construct the morphological change set of each data monitoring point respectively; The model building module is used to build a morphological prediction model of the data monitoring point according to the obtained morphological change set, collect the current river flow velocity and river flow direction, and use the built morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta; The morphological visualization module is used to visualize the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta; The data monitoring module sets a number of data monitoring points in the Yellow River Delta, and the process of respectively monitoring the river flow velocity and the river flow direction through the data monitoring points to obtain the corresponding flow velocity data and flow direction data includes: In the comprehensive coastal simulation map, the intersection points between the coastal simulation maps of the most recent several simulation cycles are taken as data monitoring points. Flow velocity monitoring units and flow direction monitoring units are respectively set in the data monitoring points to obtain the flow velocity data and flow data of the data monitoring points, and the flow velocity data and flow direction data are respectively bound to their data monitoring points.

2. The Yellow River coast morphological change monitoring system based on big data according to claim 1 is characterized in that: The map construction module collects geographic information of the Yellow River Delta, and uses GIS technology to construct a GIS distribution map of the Yellow River Delta based on the collected geographic information. The process includes: A collection unit is provided to collect geographic information of the Yellow River Delta, and a GIS distribution map of the Yellow River Delta is constructed based on the collected geographic information using GIS technology. The GIS distribution map is used to reflect the geographical situation of the Yellow River Delta in the form of a map.

3. The Yellow River coast morphological change monitoring system based on big data according to claim 2 is characterized in that: The remote sensing monitoring module collects remote sensing data of the Yellow River Delta, performs clarification processing on the collected remote sensing data to obtain corresponding usable remote sensing data, and extracts coastal feature information of the Yellow River Delta based on the obtained usable remote sensing data. The process includes: A remote sensing unit is provided, remote sensing data of the Yellow River Delta is collected by the remote sensing unit, and the remote sensing data is processed to obtain usable remote sensing data, wherein the processing includes image enhancement or image fusion; The coastal characteristic information of the Yellow River Delta is extracted based on the available remote sensing data, and the coastal characteristic information includes river bank morphology, shoreline erosion and siltation, river width change, sediment type and distribution, riverbed morphology, and vegetation cover change.

4. The Yellow River coast morphological change monitoring system based on big data according to claim 3 is characterized in that: The coastal simulation module sets a simulation period, divides the obtained coastal characteristic information to obtain periodic characteristic information of different simulation periods, constructs a coastal simulation map of the Yellow River Delta in combination with the constructed GIS distribution map, and superimposes the coastal simulation maps of different simulation periods to obtain a comprehensive coastal simulation map. The process includes: Setting a simulation cycle, dividing the coastal characteristic information belonging to the same simulation cycle into the same period characteristic information, and taking the coastal characteristic information obtained last in each period characteristic information as the period representative information of the simulation cycle; The representative information of each simulation period is integrated into the GIS distribution map to obtain the coastal simulation map of each simulation period, and the coastal simulation maps of different simulation periods are superimposed on the GIS distribution map to obtain the comprehensive coastal simulation map of the Yellow River Delta.

5. The Yellow River coast morphological change monitoring system based on big data according to claim 4 is characterized in that: The data monitoring module obtains the siltation area and erosion area of ​​the Yellow River Delta under different flow rate data and flow rate data by combining the set data monitoring points in the comprehensive coastal simulation map, and the process of constructing the morphological change set of each data monitoring point includes: The data monitoring points are uploaded to the comprehensive coastal simulation map in real time for synchronization, and a data monitoring circle of each data monitoring point is constructed with the data monitoring point as the center and a fixed distance as the radius to obtain the land area and water area of ​​the data monitoring circle in the current simulation cycle and the previous simulation cycle; The land area and water area of ​​the data monitoring circle in two adjacent simulation cycles are superimposed, and the erosion area and its erosion area and the siltation area and its siltation area are obtained. The siltation area and erosion area as well as the flow velocity data and flow rate data of each data monitoring point are included in its morphological change set.

6. The Yellow River coast morphological change monitoring system based on big data according to claim 5 is characterized in that: The model building module builds a morphological prediction model of the data monitoring point according to the obtained morphological change set, collects the current river flow velocity and river flow direction, and uses the constructed morphological prediction model to predict the subsequent morphological changes of the Yellow River Delta. The process includes: A deep learning model is selected as the initial morphological prediction model, and the obtained morphological change set is used to train and evaluate the initial morphological prediction model to obtain the latest morphological prediction model, and the real-time velocity data and real-time flow data of each data monitoring point are obtained. The real-time velocity data and real-time flow data are input into the morphological prediction model, and the subsequent siltation area and subsequent erosion area of ​​each data monitoring point are predicted by the morphological prediction model; All subsequent sedimentation areas and subsequent erosion areas are integrated to obtain the corresponding subsequent morphological changes, which are used to reflect the total sedimentation area and total erosion area of ​​the Yellow River Delta in the next simulation cycle.

7. The Yellow River coast morphological change monitoring system based on big data according to claim 6 is characterized in that: The process of the morphological visualization module visualizing the predicted subsequent morphological changes in the comprehensive coastal simulation map of the Yellow River Delta includes: Based on the latest coastal simulation map in the comprehensive coastal simulation map, the land area and water area within the data monitoring circle of each data monitoring point are adjusted according to the subsequent siltation area and subsequent erosion area, and the coastal simulation map obtained after visualization processing is used as the visual coastal simulation map, and the obtained visual coastal simulation map is fed back to relevant personnel.

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