A water level control method and system for submarine cable scour monitoring

Abstract

The application discloses a water level control method and system for submarine cable scour monitoring, and the method is as follows: three GNSS continuous operation reference stations are arranged along the coast and the offshore booster station platform to construct a tidal level observation network; a spatial interpolation model is constructed based on the tidal level observation network to correct the measured water level data in real time; the LSTM model is input with real-time tidal data and is corrected as a reference to obtain predicted water level correction data in a future preset time window; the tidal level accuracy of two types of data is calculated respectively, and the final water level correction data is calculated based on the calculated tidal level accuracy; the DTM time sequence of the submarine cable routing area is established for each period of final water level correction data, the scour change amount and the cumulative trend of the submarine cable routing area are analyzed through spatial superposition, and the submarine cable routing area scour heat map is formed. The application provides a unified high-precision elevation reference for each period of submarine cable scour monitoring, and ensures the consistency of the monitoring water bottom elevation accuracy of each period.

Description

Technical Field

[0001] This invention belongs to the field of water level control technology, and specifically relates to a water level control method and system for monitoring submarine cable scour. Background Technology

[0002] Existing water level control technologies directly use the elevation of three-dimensional point cloud data of the seabed surrounding offshore wind turbine foundations, averaging the elevation within a 100*100m range. In particular, the inconsistency of the average values ​​between monitoring periods leads to the relative nature of the scour analysis results for each period, making it impossible to compare and analyze with previous periods. This is detrimental to the continuity and scientific rigor of offshore wind turbine foundation scour analysis, especially in severely scourized areas, often resulting in inconsistencies in the reference surface and leading to contradictions in the scour analysis data.

[0003] The following are the disadvantages of existing monitoring methods: 1) Submarine cable scour monitoring needs to be carried out multiple times, and the elevation benchmarks of each period are inconsistent due to tidal changes, making it difficult to compare the degree of scour; 2) Traditional single-point tide level station data cannot cover the entire wind farm area and is not accurate enough; 3) The lack of real-time tide level forecast affects the selection of monitoring windows; 4) No unified water depth control benchmark has been established for the site; 5) Cross-period monitoring data cannot be directly compared; 6) There is no real-time water level correction mechanism.

[0004] Chinese patent CN111650593A discloses a system for detecting the laying status of submarine cables in offshore wind farms and its working method, belonging to the field of offshore wind power operation and maintenance technology. A hydroacoustic transducer module, a motion detection module, and a seawater measurement module are respectively connected to an image information processing and control module, which in turn is connected to a communication module. All modules are powered by a power supply module; the communication module is interconnected with the onshore command station. The hydroacoustic transducer module includes a transmitting array and a receiving array. The transmitting and receiving arrays are planar combined acoustic arrays capable of transmitting and receiving high- and low-frequency sound waves, arranged in a straight line along the trajectory of the carrier. The receiving array is a linear array composed of several non-directional receiving elements. This invention focuses on single, independent detection operations, without establishing a site-wide tidal level observation network and real-time forecasting model. This may lead to incompatibility between detection data from different periods due to water level differences, making it difficult to guarantee the consistency of elevation data across multiple periods required for monitoring submarine cable scour. Summary of the Invention

[0005] The purpose of this invention is to provide a water level control method and system for monitoring submarine cable scour, so as to solve the problems existing in the prior art, provide a unified high-precision elevation benchmark for each period of submarine cable scour monitoring, ensure the consistency of the bottom elevation in each period of monitoring, and provide reliable vertical monitoring data for submarine cable monitoring.

[0006] The technical solution of the present invention is as follows: On one hand, the present invention provides a water level control method for monitoring submarine cable scour, comprising the following steps: Three GNSS continuously operating reference stations were deployed along the coast and at sea to power generation areas, and a tide level observation network was constructed based on the GNSS continuously operating reference stations. A spatial interpolation model is constructed based on the tide level observation network to perform real-time water level correction on measured water level data; The LSTM model is trained based on historical tidal data, and real-time tidal data is input into the pre-trained LSTM model and benchmarked to obtain the predicted water level correction data within the future preset time window. The tidal level accuracy is calculated for both real-time and predicted tidal level correction data. Based on the calculated tidal level accuracy, it is determined whether to perform weighted fusion processing on the two types of data to obtain the final tidal level correction data. A DTM time series of the submarine cable route area was established based on the final water level correction data for each period. The scour change and cumulative trend of the submarine cable route area were analyzed by spatial overlay analysis to form a scour heat map of the submarine cable route area.

[0007] Preferably, the tide observation network specifically includes: a GNSS continuously operating reference station network, a reference tide station, a main tide station, and auxiliary tide stations; The GNSS continuously operating reference station network consists of two GNSS continuously operating reference stations deployed at the submarine cable landing end and one GNSS continuously operating reference station deployed on the offshore booster station platform. The reference tide station is an automatic long-term tide station established at the landing end of the submarine cable to transmit elevation data for the entire submarine cable route area. The main tide gauge station is a long-term tide gauge station built on an offshore booster station platform and automatically observed in sync with the reference tide gauge station. The auxiliary tide gauge station is a long-term automated tide gauge station established in the submarine cable route area and deployed at important turning points of the submarine cable according to the effective control distance of the tide gauge station.

[0008] Preferably, when deploying the auxiliary tide gauge station in the submarine cable route area, the direction of the submarine cable route should be determined according to the tide gauge station. The auxiliary tide station is deployed to effectively control the cable route direction. The effective control distance is calculated as follows:

[0009] In the formula, Direction of submarine cable route The effective control distance of the upper auxiliary tide gauge station; For the accuracy indicators of water level correction; To assist in determining the direction of the tide gauge station and submarine cable route The distance between adjacent auxiliary tide gauge stations; To assist in determining the direction of the tide gauge station and submarine cable route The maximum difference in synchronous water levels between adjacent auxiliary tide gauge stations.

[0010] Preferably, the method of constructing a spatial interpolation model based on the tidal level observation network to perform real-time water level correction on the measured water level data is as follows: The elevations of all tide gauge stations were unified to the national elevation datum through continuous GNSS operation stations for benchmark correction. Constructing a spatial interpolation model based on a tide level observation network:

[0011] In the formula, Real-time water level correction data for the measured location of the submarine cable; The weighting factor is dynamically adjusted based on the topological relationship between the tide gauge station and the measured location of the submarine cable. For tide level station exist Elevation value at that moment; The number of tide gauge stations, including the benchmark tide gauge station, the main tide gauge station, and the auxiliary tide gauge stations.

[0012] Preferably, the tidal level accuracy is calculated separately for the real-time tidal level correction data and the predicted tidal level correction data, and a determination is made based on the calculated tidal level accuracy whether to perform weighted fusion processing on the two types of data to obtain the final tidal level correction data. Calculate tidal level accuracy based on real-time water level correction data:

[0013] In the formula, To improve the accuracy of tidal level correction data in real time; This refers to the number of tide gauge stations. This refers to the measured water level data from the tide gauge station; This is real-time water level correction data obtained through a spatial interpolation model; Calculate tidal level accuracy using predicted water level correction data:

[0014] In the formula, To improve the accuracy of tidal level correction data for prediction; The predicted water level correction data is obtained by training an LSTM model with historical tidal data; The calculation of the final water level correction data is expressed as follows:

[0015] In the formula, This is the final corrected water level data; Weighting of real-time water level correction data, ; To predict the weights of the water level correction data, ; For target accuracy.

[0016] On the other hand, the present invention provides a water level control system for monitoring submarine cable scour, including a tide level observation network construction module, a real-time water level correction module, a predicted water level correction module, a final water level correction module, and a submarine cable route area scour heat map generation module. The tide level observation network construction module is used to deploy three GNSS continuously operating reference stations in the power plant area along the coast and at sea substation platforms, and to construct a tide level observation network based on the GNSS continuously operating reference stations. The real-time water level correction module is used to construct a spatial interpolation model based on the tide level observation network to correct the measured water level data in real time. The predicted water level correction module is used to train an LSTM model based on historical tidal data, and to input real-time tidal data into the pre-trained LSTM model and perform baseline correction to obtain the predicted water level correction data within a preset future time window. The final water level correction module is used to calculate the tidal level accuracy for real-time water level correction data and predicted water level correction data respectively, and determine whether to perform weighted fusion processing on the two types of data based on the calculated tidal level accuracy to obtain the final water level correction data. The module for generating heat maps of scour in the submarine cable route area is used to establish a DTM time series of the submarine cable route area based on the final water level correction data for each period. By spatially overlaying and analyzing the scour changes and cumulative trends in the submarine cable route area, a heat map of scour in the submarine cable route area is generated.

[0017] In another aspect, the present invention also provides an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described in any embodiment of the present invention.

[0018] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the present invention.

[0019] Compared with the prior art, the present invention has the following technical effects: This invention addresses the shortcomings of existing methods by establishing a tidal observation network comprised of a real-time absolute spatial benchmark for the submarine cable route area, synchronous observations from shore-based benchmark tide gauge stations and the main tide gauge station at the offshore booster station, and auxiliary tide gauge stations within the route area. This network enables the creation of a dynamic spatial interpolation model for the route area, ensuring a unified elevation benchmark across different periods and consistent accuracy throughout the entire wind farm area. This, in turn, ensures accurate comparison of monitoring data across different periods. Simultaneously, by combining historical data with an LSTM neural network, real-time water level forecasting is achieved. The forecast data is then used to dynamically correct and adjust the depth sounding values, resulting in high-precision water level correction data with a unified benchmark, thus establishing a unified water level control benchmark for the wind farm area. Attached Figure Description

[0020] Figure 1 This is an overall flowchart of the water level control method for monitoring submarine cable scour as described in this invention; Figure 2 This is a schematic diagram of the overall tidal level observation network. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present application and with reference to the accompanying drawings.

[0022] Example 1 This embodiment provides a water level control method for monitoring submarine cable scour. (See reference...) Figure 1 As shown, it includes the following steps: Three continuously operating GNSS reference stations were deployed along the coast and at sea to cover the power plant area, and a tidal level observation network was constructed based on these GNSS reference stations. The elevation data from these three GNSS reference stations within the power plant area was transmitted to the sea-based substation platform via PPP technology.

[0023] As a preferred embodiment of this example, Figure 2 As shown, the tide observation network specifically includes: a GNSS continuously operating reference station network, a reference tide station, a main tide station, and auxiliary tide stations.

[0024] The GNSS continuously operating reference station network consists of two GNSS continuously operating reference stations deployed at the submarine cable landing end and one GNSS continuously operating reference station deployed on the offshore booster station platform.

[0025] The reference tide station is an automatic long-term tide station established at the landing end of the submarine cable to transmit elevation data for the entire submarine cable route area.

[0026] The main tide gauge station is a long-term tide gauge station built on an offshore substation platform and automatically observed in sync with the reference tide gauge station.

[0027] The auxiliary tide gauge station is a long-term automated tide gauge station established in the submarine cable route area and deployed at important turning points of the submarine cable according to the effective control distance of the tide gauge station.

[0028] As a preferred embodiment, when deploying the auxiliary tide station in the submarine cable routing area, it is necessary to consider the direction of the submarine cable routing based on the tide station. The auxiliary tide station is deployed to control the effective distance of the submarine cable route, and its route direction is determined by the effective control distance. The effective control distance is calculated as follows:

[0029] In the formula, Direction of submarine cable route The effective control distance of the upper auxiliary tide gauge station is expressed in kilometers (km). The accuracy index for water level correction (usually set at 0.1m), with the unit being meters (m). To assist in determining the direction of the tide gauge station and submarine cable route The distance between adjacent auxiliary tide gauge stations, in kilometers (km). To assist in determining the direction of the tide gauge station and submarine cable route The maximum difference in synchronous water level between adjacent auxiliary tide gauge stations, in meters (m).

[0030] A spatial interpolation model is constructed based on the tide level observation network to correct the measured water level data in real time.

[0031] As a preferred embodiment of this practice, the real-time water level correction of the measured water level data is specifically achieved by constructing a spatial interpolation model based on the tidal level observation network as follows: The elevations of all tide gauge stations were unified to the national elevation datum through continuous GNSS operation stations for benchmark correction. Constructing a spatial interpolation model based on a tide level observation network:

[0032] In the formula, Real-time water level correction data for the measured location of the submarine cable; The weighting factor is dynamically adjusted based on the topological relationship between the tide gauge station and the measured location of the submarine cable. Tide level station exist Elevation value at that moment; The number of tide gauge stations, including the benchmark tide gauge station, the main tide gauge station, and the auxiliary tide gauge stations.

[0033] An LSTM model is trained based on historical tidal data. Real-time tidal data (including tidal data from the baseline tidal station and the main tidal station) is then input into the pre-trained LSTM model for baseline correction, yielding corrected predicted water levels for a predetermined future time window. Specifically, the baseline correction involves unifying the water level data to the 1985 National Elevation Datum.

[0034] Specifically, training an LSTM model based on historical tidal data mainly includes data preparation, creating time series samples, LSTM model construction, training and validation, prediction, and post-processing. The LSTM model described in this embodiment addresses the long-term dependency problem of traditional RNNs by using a gating mechanism to select key information and ignore secondary information. The key to the LSTM neural network model is the gating mechanism, including the ForgetGate, InputGate, OutputGate, and candidate memories.

[0035] Forget Gate: The output value of the forget gate can be calculated by comparing the final output value with the current input value.

[0036] In the formula: Forgotten Gate; It is the standard sigmoid activation function; This is the value from the previous time unit; These are the weight values; For a moment The input value; A vector of bias values.

[0037] The first step is to remove unwanted information from the cell state using the forget gate, following the steps in the previous step. And this step As input, then for Each value inside outputs a value between 0 and 1, denoted as . , indicates how much information is retained.

[0038] Input Gate: Input the last time value and the current time value, then calculate the output value of the input gate and the state of the candidate cells, as shown in the following formula:

[0039]

[0040] In the formula: For input gates; This is the current input state unit; It is the hyperbolic tangent activation function; Enter the weight value for the last time; The input is the paranoia value vector at the last time. This represents the weight value at the current time. This is the paranoia vector at the present time.

[0041] The second step determines what to store in the cell state, selectively recording new information in the sub-cell state. The Sigmoid layer determines which value to update, and this probability is represented as... , The layer creates a candidate value vector. This will be added to the cell state, and then the two will be combined when the cell state is updated.

[0042] The third step requires updating the cell state. The current cell state is obtained by multiplying the value of the forget gate by the value of the previous time step, and then adding the result of multiplying the two parts of the input gate, as shown in the following formula:

[0043] In the formula: For hidden layers in The state unit at any given moment; For the last time I forgot about the information The degree; In order to The degree of addition determines the final state of the cell. .

[0044] Output gate: The value output. and the input value Indicates in The input values ​​of the input gate at time t are then used to derive the output gate as follows:

[0045]

[0046] In the formula: This is the current output gate; The weight values ​​of the output gate; For the output gate bias; This represents the tide level value output at time t.

[0047] The fourth step determines the output through the sigmoid layer. Which part; and what causes the cell state to change through... The final output, which is the predicted water level correction data, is obtained by multiplying the values ​​of the sigmoid layer with the values ​​of the subsequent layer.

[0048] The tidal level accuracy is calculated for both real-time and predicted tidal level correction data. Based on the calculated tidal level accuracy, it is determined whether to perform weighted fusion processing on the two types of data to obtain the final tidal level correction data.

[0049] In a preferred embodiment of this invention, the tidal level accuracy is calculated for both the real-time tidal level correction data and the predicted tidal level correction data. Based on the calculated tidal level accuracy, it is determined whether to perform weighted fusion processing on the two types of data to obtain the final tidal level correction data. Calculate tidal level accuracy based on real-time water level correction data:

[0050] In the formula, To improve the accuracy of tidal level correction data in real time; This refers to the number of tide gauge stations. This refers to the measured water level data from the tide gauge station; This is the real-time water level correction data obtained through a spatial interpolation model.

[0051] Calculate tidal level accuracy using predicted water level correction data:

[0052] In the formula, To improve the accuracy of tidal level correction data for prediction; The data used is the predicted water level correction data obtained by training an LSTM model with historical tidal data.

[0053] The calculation of the final water level correction data is expressed as follows:

[0054] In the formula, This is the final corrected water level data; Weighting of real-time water level correction data, ; To predict the weights of the water level correction data, ; For target accuracy.

[0055] A digital elevation model (DTM) time series of the submarine cable route area was established based on the final water level correction data for each period. Spatial overlay analysis was used to analyze the scour changes and cumulative trends in the submarine cable route area, resulting in a scour heat map of the area. Specifically, the spatial overlay analysis is expressed as Detal_DTM = DTM1 - DTM2, where Detal_DTM is the difference digital elevation model after calculating scour in two periods, DTM1 is the previous period's digital elevation model, and DTM2 is the current period's digital elevation model.

[0056] Example 2 Accordingly, this embodiment provides a water level control system for monitoring submarine cable scour, which implements the method described in Embodiment 1, including a tide level observation network construction module, a real-time water level correction module, a predicted water level correction module, a final water level correction module, and a submarine cable route area scour heat map generation module.

[0057] The tide level observation network construction module is used to deploy three GNSS continuously operating reference stations in the power generation area along the coast and offshore substation platforms, and to construct a tide level observation network based on the GNSS continuously operating reference stations.

[0058] The real-time water level correction module is used to construct a spatial interpolation model based on the tide level observation network to correct the measured water level data in real time.

[0059] The predicted water level correction module is used to train an LSTM model based on historical tidal data, and to input real-time tidal data into the pre-trained LSTM model and perform baseline correction to obtain predicted water level correction data within a preset future time window.

[0060] The final water level correction module is used to calculate the tidal level accuracy for real-time water level correction data and predicted water level correction data respectively, and determine whether to perform weighted fusion processing on the two types of data based on the calculated tidal level accuracy to obtain the final water level correction data.

[0061] The module for generating heat maps of scour in the submarine cable route area is used to establish a DTM time series of the submarine cable route area based on the final water level correction data for each period. By spatially overlaying and analyzing the scour changes and cumulative trends in the submarine cable route area, a heat map of scour in the submarine cable route area is generated.

[0062] Example 3 This embodiment provides an electronic device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in Embodiment 1 of the present invention.

[0063] Example 4 This embodiment provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in Embodiment 1 of the present invention.

[0064] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0065] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0066] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0067] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0068] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A water level control method for monitoring submarine cable scour, characterized in that, Includes the following steps: Three GNSS continuously operating reference stations were deployed along the coast and at sea to serve the power generation area, and a tide level observation network was constructed based on the GNSS continuously operating reference stations. A spatial interpolation model is constructed based on the tide level observation network to perform real-time water level correction on measured water level data; The LSTM model is trained based on historical tidal data, and real-time tidal data is input into the pre-trained LSTM model and benchmarked to obtain the predicted water level correction data within the future preset time window. The tidal level accuracy is calculated separately for real-time and predicted tidal level correction data. Based on the calculated tidal level accuracy, it is determined whether to perform weighted fusion processing on the two types of data to obtain the final tidal level correction data. Specifically: Calculate tidal level accuracy based on real-time water level correction data: In the formula, To improve the accuracy of tidal level correction data in real time; This refers to the number of tide gauge stations. This refers to the measured water level data from the tide gauge station; This is real-time water level correction data obtained through a spatial interpolation model; Calculate tidal level accuracy using predicted water level correction data: In the formula, To improve the accuracy of tidal level correction data for prediction; The predicted water level correction data is obtained by training an LSTM model with historical tidal data; The calculation of the final water level correction data is expressed as follows: In the formula, This is the final corrected water level data; Weighting of real-time water level correction data, ; To predict the weights of the water level correction data, ; For target accuracy; A DTM time series of the submarine cable route area was established based on the final water level correction data for each period. The scour change and cumulative trend of the submarine cable route area were analyzed by spatial overlay analysis to form a scour heat map of the submarine cable route area.

2. The water level control method for monitoring submarine cable scour according to claim 1, characterized in that, The tide observation network specifically includes: a GNSS continuously operating reference station network, a reference tide station, a main tide station, and auxiliary tide stations; The GNSS continuously operating reference station network consists of two GNSS continuously operating reference stations deployed at the submarine cable landing end and one GNSS continuously operating reference station deployed on the offshore booster station platform. The reference tide station is an automatic long-term tide station established at the landing end of the submarine cable to transmit elevation data for the entire submarine cable route area. The main tide gauge station is a long-term tide gauge station built on an offshore booster station platform and automatically observed in sync with the reference tide gauge station. The auxiliary tide gauge station is a long-term automated tide gauge station established in the submarine cable route area and deployed at important turning points of the submarine cable according to the effective control distance of the tide gauge station.

3. The water level control method for monitoring submarine cable scour according to claim 2, characterized in that, When deploying the auxiliary tide station in the submarine cable route area, the direction of the submarine cable route must be determined based on the tide station's position relative to the submarine cable route. The auxiliary tide station is deployed to control the effective distance of the submarine cable route, and its route direction is determined by the effective control distance. The effective control distance is calculated as follows: In the formula, Direction of submarine cable route The effective control distance of the upper auxiliary tide gauge station; For the accuracy indicators of water level correction; To assist in determining the direction of the tide gauge station and submarine cable route The distance between adjacent auxiliary tide gauge stations; To assist in determining the direction of the tide gauge station and submarine cable route The maximum difference in synchronous water levels between adjacent auxiliary tide gauge stations.

4. The water level control method for monitoring submarine cable scour according to claim 1, characterized in that, The spatial interpolation model constructed based on the tidal level observation network is used to perform real-time water level correction on the measured water level data. Specifically: The elevations of all tide gauge stations were unified to the national elevation datum through continuous GNSS operation stations for benchmark correction. Constructing a spatial interpolation model based on a tide level observation network: In the formula, Real-time water level correction data for the measured location of the submarine cable; The weighting factor is dynamically adjusted based on the topological relationship between the tide gauge station and the measured location of the submarine cable. For tide level station exist Elevation value at that moment; The number of tide gauge stations, including the benchmark tide gauge station, the main tide gauge station, and the auxiliary tide gauge stations.

5. A water level control system for monitoring submarine cable scour, characterized in that, The system is used to implement the method as described in any one of claims 1 to 4, including a tide level observation network construction module, a real-time water level correction module, a predicted water level correction module, a final water level correction module, and a submarine cable route area scour heat map generation module. The tide level observation network construction module is used to deploy three GNSS continuously operating reference stations in the power plant area along the coast and at sea substation platforms, and to construct a tide level observation network based on the GNSS continuously operating reference stations. The real-time water level correction module is used to construct a spatial interpolation model based on the tide level observation network to correct the measured water level data in real time. The predicted water level correction module is used to train an LSTM model based on historical tidal data, and to input real-time tidal data into the pre-trained LSTM model and perform baseline correction to obtain the predicted water level correction data within a preset future time window. The final water level correction module is used to calculate the tidal level accuracy for real-time water level correction data and predicted water level correction data respectively, and to determine whether to perform weighted fusion processing on the two types of data based on the calculated tidal level accuracy to obtain the final water level correction data. The module for generating heat maps of scour in the submarine cable route area is used to establish a DTM time series of the submarine cable route area based on the final water level correction data for each period. By spatially overlaying and analyzing the scour changes and cumulative trends in the submarine cable route area, a heat map of scour in the submarine cable route area is generated.

6. An electronic device, the electronic device comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 4.

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