Shipborne base station sea area covering method and system based on digital twinning

Abstract

The invention discloses a ship-borne base station sea area covering method and system based on digital twinning, and the method comprises the steps: carrying out the modeling of a target sea area environment, taking the real-time sea condition data of the target sea area as the input, and outputting the marine environment change trend in a period of time in the future; based on the change trend of the marine environment, deploying and optimizing the shipborne base station through a simulation system; and data interaction and real-time adjustment of the digital twin system and the simulation system are constructed, so that communication in a target sea area range is covered. According to the method, the digital twin network simulation system is constructed, the marine area coverage digital twin method of the shipborne base station is demonstrated, decision basis for base station deployment and site selection, network parameter setting and the like is provided, accurate control and dynamic adjustment of the digital twin system on network simulation are achieved, and high-visibility support is provided for industrial application. According to the method, the sea area environment is accurately simulated by using the digital twin technology, the base station deployment is optimized, and the sea area coverage capability and the communication quality of the shipborne base station are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to a shipborne base station sea area coverage method based on digital twins. Background Art

[0002] In maritime communications, traditional communication technologies face many limitations, especially for remote sea areas far from land, with limited bandwidth and low transmission rates: Due to geographical and technical limitations, the bandwidth provided by traditional satellite communication systems is relatively low, especially in high latitudes or sea areas far from ground stations, where the transmission rate is difficult to meet the needs of high-bandwidth applications, such as high-definition video transmission, real-time data backhaul, etc. Poor signal stability: The maritime environment is complex and changeable. Affected by meteorological conditions (such as storms, haze) and sea conditions, traditional satellite communications are prone to signal attenuation or interruption in some cases, resulting in unstable communication quality. High network maintenance costs: Due to the particularity of the marine environment, traditional maritime communication equipment often requires high-frequency maintenance and replacement. The high cost of equipment, the complexity of maintenance, and the high labor costs have greatly increased the operation and maintenance burden of maritime communications.

[0003] With the rapid development of low-orbit satellite networks (LSNs), such as CASC's Tianlian Network and China Satellite Internet Industry Alliance, low-orbit satellite systems have gradually become an important part of future maritime communications, especially in the integrated network of air, land and sea. However, these low-orbit satellite systems also face many challenges: High dynamics and frequent switching: The satellites of low-orbit satellite systems move at a fast speed in orbit, resulting in frequent switching of connections between satellites and ground stations. Due to the limited coverage of each satellite, links need to be frequently switched between satellites. This high dynamics and frequent satellite switching will lead to packet loss, increased latency and link interruption, affecting the quality of communication. Complex channel environment: Low-orbit satellite communications are affected by the signal propagation path and the marine environment, especially at sea, where signal attenuation and interference are more serious than in the land environment. The channel characteristics between satellites and user terminals are complex and changeable, and it is necessary to consider the impact of factors such as marine meteorology, sea conditions, and tides on signal transmission. Network switching and resource scheduling issues: Low-orbit satellite networks face the problem of resource scheduling and switching between multiple satellites. How to achieve seamless switching between users and satellites, and between satellites and ground base stations to avoid communication interruption or performance degradation is a technical problem that needs to be solved urgently. Existing resource scheduling algorithms are difficult to provide efficient scheduling solutions in a dynamically changing ocean environment.

[0004] The particularity of maritime communications is reflected in the following aspects: Remote and dynamic environment: The maritime environment is far away from the land, geographically remote, and difficult to build infrastructure. In this context, how to achieve fast and low-cost communication coverage, especially the deployment and dynamic adjustment of mobile base stations, is a key issue in maritime communications. Uneven distribution of user needs: The user distribution of maritime communications is very uneven, with dense users in some sea areas and sparse users in most sea areas. How to achieve efficient network deployment and service quality assurance with limited resources is the core problem in maritime communications. Emergency communication needs: Maritime communications also need to support special application scenarios such as emergency rescue. In emergencies, maritime communications need to have the ability to quickly deploy, flexibly schedule and provide high-quality services to cope with emergency needs such as disaster relief and loss of ship connection.

[0005] Although existing technologies have made certain progress in the field of low-orbit satellite networks and maritime communications, the current technical system still has some shortcomings: Lack of deep integration of marine environment and communication system: Most existing technologies still design and optimize marine communication networks in a static or local manner, lack real-time marine environment data feedback, and cannot adapt to dynamically changing sea conditions and marine user needs. Lack of flexibility in base station deployment and optimization: The deployment of existing shipborne base stations is often based on preset rules and static models, and cannot be flexibly adjusted according to actual sea conditions, sea user distribution and network needs. Insufficient network performance prediction and scheduling optimization: Most existing network scheduling algorithms are based on static network models, fail to fully consider the complexity of the sea area, and lack targeted dynamic scheduling solutions. Summary of the invention

[0006] Purpose of the invention: The purpose of the present invention is to provide a method and system for sea area coverage of shipborne base stations based on digital twins. A digital twin network simulation system is constructed based on ns-3 and Unity3D to demonstrate the digital twin method for sea area coverage of shipborne base stations, provide decision-making basis for base station deployment site selection, network parameter setting, etc., realize the precise control and dynamic adjustment of network simulation by the digital twin system, and provide high-visibility support for industrial applications. This method uses digital twin technology to accurately simulate the sea environment, optimize base station deployment, and improve the sea area coverage capability and communication quality of shipborne base stations.

[0007] Technical solution: A digital twin-based shipborne base station sea area coverage method of the present invention comprises the following steps:

[0008] Step 1: Model the target sea environment through the Unity3D engine, use the real-time sea condition data of the target sea area as input, and output the trend of marine environment changes in the future;

[0009] Step 2: Based on the changing trend of the marine environment, deploy and optimize the shipborne base stations through the ns-3 simulation system;

[0010] Step 3: Establish data interaction and real-time adjustment between the digital twin system and the ns-3 simulation system to cover the communication within the target sea area.

[0011] Furthermore, Step 1 is specifically as follows: Use the Unity3D engine to establish the base station location information, route model, and three-dimensional ocean environment model. The model includes environmental factors such as sea waves and wind speed, and through real-time data input including satellite monitoring data, base station location information, and routes; the three-dimensional ocean environment model is dynamically updated to generate the ocean environment change trend within a future period of time and reflect the real-time changes of the actual sea area.

[0012] Furthermore, the specific establishment process of the base station location information and route model is as follows:

[0013] Establish a path representation model and define a discrete path point sequence: P i =(x i , z i )(i = 0, 1, …, n), where P i : The planar coordinates of the i-th path point, x i : Longitude coordinate, z i : Latitude coordinate, n: Total number of path points, the vertical coordinate is fixed as: y i =H, where H is the global path height parameter;

[0014] Calculate the path distance, single-segment path distance: Total path distance: where d i : The planar distance of the i-th segment of the path, D: Total length of the route;

[0015] Construct a navigation speed model, time difference definition: Δt i =t i -t i-1 , where Δt i >0; Total navigation time: Average navigation speed: where t i : Time to reach the i-th path point, Δt i : Navigation time between adjacent path points, v: Average navigation speed for the whole journey;

[0016] Dynamic position update, position increment: Δs = v·Δt, position update formula: s k+1 =s k +Δs, normalized position parameter: Among them, Δs: position increment in a single time step, Δt: time step size, s: cumulative sailing distance, s′: normalized position parameter;

[0017] Using the position interpolation algorithm, the linear interpolation formula: Where α: interpolation weight coefficient, s′ i-1 : normalized position of the previous path point, s′ i : normalized position of the current path point;

[0018] For course control, the tangent direction calculation: Where, θ: ship's course angle; Longitude direction derivative; Latitude direction derivative.

[0019] Furthermore, the specific establishment process of the three-dimensional ocean environment model is as follows:

[0020] Through the hybrid model of Phillips spectrum, dynamic formula of sea wave height field, and gradual change of day and night illumination, combined with parameterized control and underlying optimization, efficient and realistic dynamic three-dimensional ocean rendering is achieved; parameterized control includes wind direction, roughness, and foam; underlying optimization includes double-precision projection and multi-threading;

[0021] Phillips spectrum formula:

[0022]

[0023] Where the parameters: A is the Phillips constant, α = 0.0081; L is the fetch length, U 10 is the wind speed at 10 meters height; θ: wave number direction, φ: wind direction; Wave number magnitude;

[0024] Dynamic formula of sea wave height field:

[0025]

[0026] Where the parameters: A n : amplitude of the nth wave, k n = 2π / λ n : wave number, λ n is the wavelength; θ n : wave propagation direction; Angular frequency, gravitational acceleration g = 9.81m / s 2 ; φ n : random phase;

[0027] Day and night illumination gradient:

[0028] color = lerp(C night , C day , σ(t / T - 0.5))

[0029] where the parameters are: T = 86400 s: diurnal cycle; σ: smoothing function; C night = (0.1, 0.2, 0.4): night seawater color; t: time.

[0030] Furthermore, Step 2 specifically includes the following steps:

[0031] Step 2.1. In the simulation environment, use the ns-3 simulation tool to simulate the beam coverage range of the shipborne base station. According to different sea area environments and user distributions, the simulation tool dynamically adjusts the parameters of the base station's signal beam direction, coverage radius, and transmission power to ensure continuous coverage of the required sea area during the movement of the shipborne base station;

[0032] Step 2.2. Through the simulation of the network data transmission process, analyze key indicators such as throughput, transmission delay, and bit error rate; in the complex marine environment, considering the stability and reliability of the satellite communication link, adopt an adaptive scheduling algorithm to optimize data backhaul and link selection; introduce a reinforcement learning algorithm to autonomously optimize parameters such as the base station location for the dynamic sea area environment. The adaptive algorithm framework for dynamic interaction of reinforcement learning is as follows:

[0033]

[0034] where the parameters are: s: state; a: action; r: reward; α: learning rate; γ: discount factor; ∈: exploration rate;

[0035] Step 2.3. In the simulation process of the heterogeneous network environment involved in sea area coverage, consider the cooperative working mechanism between the base station and the satellite link, and achieve smooth transition between different networks through dynamic scheduling and switching of multi-level networks.

[0036] Furthermore, in Step 2.3, the heterogeneous network environment includes a combination of satellite, cellular, and radio networks.

[0037] Furthermore, Step 3 specifically includes the following steps:

[0038] Step 3.1. Establish a MySql database connection with the ns-3 simulation data model, and transfer the sea area environment parameters, location, and dynamic information of the shipborne base station in the Unity3D platform to the ns-3 simulation system; at the same time, transfer the network performance data and user connection quality information in the simulation results back to the digital twin system for further analysis and optimization;

[0039] Step 3.2: When the sea area environment changes, the digital twin system adjusts the configuration parameters of the shipborne base station according to the real-time collected data;

[0040] Step 3.3: Regarding the mobile characteristics of the shipborne base station, the simulation system tracks the dynamic position of the base station and makes adaptive adjustments to the beam direction. An input model is created on the canvas interface in Unity, and the position data of the shipborne base station and the user ship are transmitted to the ns-3 simulation system WayPoint model in the form of a JSON file, thereby establishing a data connection to ensure that the network service will not be interrupted or the quality will not decline due to the movement of the shipborne base station.

[0041] Further, in Step 3.2, the changes in the sea area environment include sea condition fluctuations, changes in the positions of the base station and users; the adjustment of the configuration parameters of the shipborne base station includes changing the position, power, and link selection of the base station.

[0042] The present invention also discloses a shipborne base station sea area coverage system based on digital twins, including a sea area environment modeling module, an ns-3 simulation module, and a digital twin module;

[0043] The sea area environment modeling module uses the Unity3D engine to establish a three-dimensional ocean environment model, and the model includes environmental factors such as sea waves and wind speed, and outputs the changing trend of the ocean environment;

[0044] The ns-3 simulation module simulates the beam coverage range of the shipborne base station based on the changing trend of the ocean environment. According to different sea area environments and user distributions, the simulation tool dynamically adjusts the parameters of the signal beam direction, coverage radius, and transmission power of the base station to ensure that the required sea area range is continuously covered during the movement of the shipborne base station;

[0045] The digital twin module conducts data interaction and real-time adjustment with the ns-3 simulation module to cover the communication within the target sea area range.

[0046] The present invention also discloses a computer device, including a memory, a processor, and a computer program stored on the memory. The processor executes the computer program to implement the steps of the method of the present invention.

[0047] The present invention also discloses a computer-readable storage medium, on which a computer program / instructions are stored. When the computer program / instructions are executed by a processor, the steps of the method of the present invention are implemented.

[0048] The present invention also discloses a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the steps of the method of the present invention are implemented.

[0049] Beneficial effects: Compared with the prior art, the present invention has the following remarkable advantages:

[0050] 1. Through the combination of digital twin technology and network simulation technology, the present invention realizes the optimized deployment of the sea area coverage of shipborne base stations. Compared with traditional methods, the present invention can flexibly adjust the deployment position of base stations according to real-time sea conditions and communication requirements, improving the network coverage efficiency and service quality. At the same time, the visual display provided by digital twin technology enhances the accuracy of decision-making and reduces the risks and costs in actual deployment.

[0051] 2. The data connection module can be used for multiple projects.

[0052] 3. Visualization of ocean scenarios: Supports high-precision 3D rendering of complex ocean environments such as sea waves and wind speeds, and real-time signal coverage ranges, displays the base station deployment and the dynamics of user terminals.

[0053] 4. Interactive simulation interface: Provides a visual operation panel, and users can adjust the base station position and power parameters in real time, and intuitively observe the changes in network performance.

[0054] 5. Real-time data fusion: Compatible with multi-source inputs such as ship trajectories and satellite remote sensing, and realizes dynamic data synchronization through the MySQL database.

[0055] 6. Scenario-adaptive structure: The shipborne system module can differentiate the application modes of base stations, and provide different optimization strategies for different application scenarios such as cargo ships, scientific research ships, and fishing boats. Description of the Drawings

[0056] Figure 1 is the visualization interface of the Unity shipborne base station system;

[0057] Figure 2 is the 3D modeling graph of the Unity shipborne base station;

[0058] Figure 3 is the real-time throughput data graph of the Uinty shipborne base station. Detailed Embodiments

[0059] The technical solution of the present invention will be further described below with reference to the drawings.

[0060] 1. Modeling and Simulation of Sea Area Environment

[0061] In order to achieve accurate sea area coverage, the present invention models and simulates the target sea area environment through digital twin technology. The specific steps are as follows:

[0062] Modeling of sea area environment: Use the Unity3D engine to establish a high-precision three-dimensional ocean environment model ( Figure 2) The model includes multiple environmental factors that affect communication quality, such as sea waves and wind speed. Through real-time data input (such as satellite monitoring data, base station location information, shipping routes, etc.), the model will be dynamically updated to ensure that the model reflects the real-time changes in the actual sea area.

[0063] Sea condition simulation and prediction: Through real-time input and analysis of sea condition data, combined with various environmental factors, the changing trend of the ocean environment in the future period is generated. Based on these data, the performance of the shipborne base station under different sea conditions can be predicted.

[0064] Environmental adaptability: This digital twin model can detect data and transmit it back in real time by controlling the navigation of the shipborne base station and the user ship in remote sea areas, enabling the shipborne base station to better adapt to different environmental conditions.

[0065] 2. Simulation and optimization of shipborne base station deployment

[0066] Through simulation technology, the present invention optimizes the deployment of the shipborne base station to maximize the sea area coverage quality. The key steps include:

[0067] Beam coverage simulation: In the simulation environment, the ns-3 simulation tool is used to simulate the beam coverage range of the shipborne base station. According to different sea area environments and user distributions, the simulation tool can dynamically adjust parameters such as the signal beam direction, coverage radius, and transmission power of the base station to ensure that the required sea area range can be continuously covered during the movement of the shipborne base station.

[0068] Network transmission performance simulation: By simulating the network data transmission process, key indicators such as throughput, (transmission delay, bit error rate) are analyzed. In a complex marine environment, considering the stability and reliability of the satellite communication link, an adaptive scheduling algorithm is adopted to optimize data backhaul and link selection.

[0069] Satellite and ground network collaboration: For the heterogeneous network environment that may be involved in sea area coverage (such as a combination of satellite, cellular, and radio networks), the collaborative working mechanism between the base station and the satellite link is considered during the simulation process. Through dynamic scheduling and switching of multi-level networks, smooth transition between different networks is ensured, and service interruption or performance degradation caused by satellite handover is avoided.

[0070] 3. Data interaction and real-time adjustment

[0071] The present invention realizes seamless data interaction and real-time adjustment between the digital twin system and the network simulation tool, specifically including the following technical details:

[0072] Data Interface Design: By establishing a MySql database connection with the ns-3 simulation data model, the sea area environment parameters, the location and dynamic information of the shipborne base stations in the Unity3D platform are transmitted to the ns-3 simulation system, ensuring the real-time and accuracy of the simulation data. At the same time, information such as network performance data and user connection quality in the simulation results are transmitted back to the digital twin system for further analysis and optimization.

[0073] Real-time Environment and Network Scheduling: When the sea area environment changes (such as sea condition fluctuations, changes in the positions of base stations and users), the digital twin system can adjust the configuration parameters of the shipborne base stations (such as changing the position, power, link selection, etc.) according to the real-time collected data. This scheduling mechanism ensures the optimal position and configuration of the base stations.

[0074] Mobility Management of Base Stations: Regarding the mobile characteristics of shipborne base stations, the simulation system can track the dynamic positions of the base stations in real time and make adaptive adjustments to the beam directions, create an input model in the canvas interface in Unity, and transmit the position data of shipborne base stations and user ships to the ns-3 simulation system WayPoint model ( Figure 1 ), thereby establishing a data connection to ensure that the network service will not be interrupted or the quality will not degrade due to the movement of shipborne base stations.

[0075] 4. Optimization Decision-making and Visualization Display

[0076] This invention combines digital twin technology and simulation optimization, and can provide decision support for the deployment of shipborne base stations:

[0077] Optimization Algorithm: According to the simulation results, an optimization algorithm is used to optimize the deployment location, signal configuration, spectrum allocation, etc. of the base stations, so as to maximize the coverage area and minimize signal interference and energy consumption.

[0078] Decision Support System: An integrated decision support system is integrated to help designers select the best base station configuration scheme under different sea area conditions. The optimization results provided by the system include the best deployment location, the best channel selection, and the potential for network performance improvement.

[0079] Visualization Display: Through the visualization function of the digital twin, the simulation results are displayed to users in the form of a video in real time ( Figure 3 ). Users can view the changes in the sea area environment, the deployment of base stations, and network performance indicators in real time through the interactive interface, which helps to make quick decisions.

[0080] 5. System Integration and Implementation

[0081] This invention also includes a complete set of system integration and implementation plans to ensure that the technical solutions can be successfully deployed and applied:

[0082] Modular design: The system adopts a modular design, making the interfaces between various functional modules (such as environmental modeling, simulation, optimization decision-making, data interaction, etc.) clear and the functions independent, which is convenient for subsequent upgrades and maintenance.

[0083] Cooperation between hardware and software: The system design takes into account the hardware requirements during actual deployment (such as on-board communication equipment, sensors, computing resources, etc.), and ensures efficient cooperation between hardware and software.

[0084] Support for multiple application scenarios: This system can not only be applied to the deployment of on-board base stations, but also be extended to other marine communication applications (such as marine scientific research, fishery monitoring, emergency rescue, etc.), with strong adaptability and scalability.

Claims

1. A method for shipborne base station sea area coverage based on digital twin, characterized in that, It includes the following steps: Step 1: Model the target sea area environment through the Unity3D engine, taking the real-time sea condition data of the target sea area as input, and outputting the change trend of the marine environment in the next period of time; Step 2: Based on the change trend of the marine environment, deploy and optimize the shipborne base station through the ns-3 simulation system; Step 3: Build data interaction and real-time adjustment between the digital twin system and the ns-3 simulation system to cover the communication within the target sea area.

2. The method for covering a sea area by a shipborne base station based on digital twin according to claim 1, wherein, Specifically, Step 1 is as follows: Use the Unity3D engine to establish the base station location information, route model, and three-dimensional marine environment model. The model includes environmental factors such as sea waves and wind speed. Through real-time data input including satellite monitoring data, base station location information, and routes; the three-dimensional marine environment model is dynamically updated to generate the change trend of the marine environment in the next period of time and reflect the real-time changes of the actual sea area.

3. The method for covering a sea area by an on-board base station based on digital twin according to claim 2, characterized in that, The specific establishment process of the base station location information and route model is as follows: Establish a path representation model and define a discrete sequence of path points: P i =(x i , z i )(i = 0, 1, …, n), where P i : the planar coordinates of the i-th path point, x i : the longitude coordinate, z i : the latitude coordinate, n: the total number of path points, the vertical coordinate is fixed as: y i =H, where H is the global path height parameter; Calculate the path distance, single-segment path distance: Total path distance: where d i : the planar distance of the i-th segment of the path, D: the total length of the flight route; Build a navigation speed model. Time difference definition: Δt i = t i - t i-1 , where Δt i > 0; Total navigation time: Average navigation speed: where t i : Time to reach the i-th waypoint, Δt i : Navigation time between adjacent waypoints, v: Average navigation speed for the whole journey; Dynamic position update, position increment: Δs = v·Δt, position update formula: s k+1 = s k + Δs, normalized position parameter: 0 ≤ s′ ≤ 1, where, Δs: position increment of a single time step, Δt: time step length, s: cumulative navigation distance, s′: normalized position parameter; Using the position interpolation algorithm, the linear interpolation formula: where α: interpolation weight coefficient, s i-1 : the normalized position of the previous path point, s i : the normalized position of the current path point; Control the course and calculate the tangent direction: where θ is the ship's course angle; Derivative in the longitude direction; Derivative in the latitude direction.

4. A method for shipborne base station sea area coverage based on digital twin according to claim 2, characterized in that The specific establishment process of the three-dimensional marine environment model is as follows: Through a hybrid model of Phillips spectrum, dynamic formula of sea wave height field, and gradual change of day and night illumination, combined with parameterized control and underlying optimization, efficient and realistic dynamic three-dimensional marine rendering is achieved; parameterized control includes wind direction, roughness, and foam; underlying optimization includes double-precision projection and multithreading; Phillips spectrum formula: Among them, the parameters are as follows: A is the Phillips constant, α = 0.0081; L is the fetch length, U 10 is the wind speed at 10 meters above the ground; θ: Wavenumber direction, φ: Wind direction; Wavenumber magnitude; Dynamic formula of sea wave height field: Among them, the parameter: A n : The amplitude of the nth wave, k n = 2π / λ n : Wave number, λ n is the wavelength; θ n : The wave propagation direction; Angular frequency, gravitational acceleration g = 9.81 m / s 2 ; φ n : Random phase; Gradual change of day and night illumination: color = lerp(C night , C day , σ(t / T - 0.5)) Among them, the parameters are: T = 86400 s: diurnal cycle; σ: smoothing function; C night = (0.1, 0.2, 0.4): night seawater color; t: time.

5. A method for covering sea areas of an on-ship base station based on digital twin according to claim 1, characterized in that, Specifically, Step 2 includes the following steps: Step 2.1: In the simulation environment, use the ns-3 simulation tool to simulate the beam coverage range of the shipborne base station. According to different sea area environments and user distributions, the simulation tool dynamically adjusts the parameters of the signal beam direction, coverage radius, and transmission power of the base station to ensure continuous coverage of the required sea area range during the movement of the shipborne base station; Step 2.2: Through the simulation of the network data transmission process, analyze the key indicators of throughput, transmission delay, and bit error rate; in a complex marine environment, considering the stability and reliability of the satellite communication link, adopt an adaptive scheduling algorithm to optimize data backhaul and link selection; introduce a reinforcement learning algorithm to achieve autonomous optimization of parameters such as the base station location for the dynamic sea area environment. The adaptive algorithm framework for dynamic interaction of reinforcement learning is as follows: Where the parameters: s: state; a: action; r: reward; α: learning rate; γ: discount factor; ∈: exploration rate; Step 2.3: Consider the cooperative working mechanism between the base station and the satellite link during the simulation process of the heterogeneous network environment involved in sea area coverage. Through the dynamic scheduling and switching of multi-level networks, smooth transition between different networks is achieved.

6. The method for covering a sea area by an on-board base station based on digital twin according to claim 1, characterized in that, In Step 2.3, the heterogeneous network environment includes a combination of satellite, cellular, and radio networks.

7. A method for covering a sea area by an on-ship base station based on digital twin according to claim 1, characterized in that Specifically, Step 3 includes the following steps: Step 3.1: Establish a MySql database connection with the ns-3 simulation data model, and transmit the sea area environment parameters, location, and dynamic information of the shipborne base station in the Unity3D platform to the ns-3 simulation system; at the same time, transmit the network performance data and user connection quality information in the simulation results back to the digital twin system for further analysis and optimization; Step 3.2: When the sea area environment changes, the digital twin system adjusts the configuration parameters of the shipborne base station according to the real-time collected data; Step 3.3: Regarding the mobile characteristics of the shipborne base station, the simulation system tracks the dynamic position of the base station and makes adaptive adjustments to the beam direction, creates an input model in the canvas interface in Unity, and transmits the position data of the shipborne base station and the user ship to the ns-3 simulation system WayPoint model in the form of a JSON file, so as to establish a data connection and ensure that the network service will not be interrupted or the quality will not deteriorate due to the movement of the shipborne base station.

8. A method for covering a sea area by an on - ship base station based on digital twin according to claim 1, characterized in that, In Step 3.2, the change of the sea area environment includes sea condition fluctuations, changes in the positions of the base station and users; the adjustment of the configuration parameters of the shipborne base station includes changing the position, power, and link selection of the base station.

9. A shipborne base station sea area coverage system based on digital twin, used to implement the method described in claim 1, characterized in that, It includes a sea area environment modeling module, an ns-3 simulation module, and a digital twin module; The sea area environment modeling module uses the Unity3D engine to establish a three-dimensional ocean environment model, and the model includes environmental factors such as sea waves and wind speed, and outputs the change trend of the ocean environment; The ns-3 simulation module, based on the change trend of the ocean environment, simulates the beam coverage range of the shipborne base station, and according to different sea area environments and user distributions, the simulation tool dynamically adjusts the parameters of the signal beam direction, coverage radius, and transmission power of the base station to ensure that the required sea area range is continuously covered during the movement of the shipborne base station; The digital twin module performs data interaction and real-time adjustment with the ns-3 simulation module to cover the communication within the target sea area range.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the steps of the method described in claim 1.

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