Visual management system and method for construction progress of offshore wind plant based on GIS (Geographic Information System)
Through the GIS-based visual management system for offshore wind farm construction progress, the problem of difficulty in engineering management and coordination of offshore wind farm construction projects is solved, and the comprehensive visualization and resource scheduling of offshore wind farm construction data is realized, and the efficiency and accuracy of project management are improved.
Patent Information
- Application Number
- CN202411754480.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-04-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Due to the large scale of the existing offshore wind farm construction projects, the difficulty of engineering management and coordination has increased, and there is a lack of effective progress visualization and resource management tools.
The GIS-based offshore wind farm construction progress visual management system is adopted, which includes data collection, data processing and storage, GIS visualization, progress analysis and prediction, resource management and scheduling, and risk warning and decision support modules. The system converts offshore wind farm construction data into geospatial information through GIS technology, realizing progress visualization and resource scheduling.
Through this system, multi-source data can be fully acquired, data quality and storage efficiency can be ensured, and the efficiency and accuracy of engineering management can be improved, helping to identify risks and provide decision-making support, thereby improving the management and coordination of offshore wind farm construction projects.
Smart Images

Figure CN119761625A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a GIS-based offshore wind farm construction progress visualization management system and method, belonging to the technical field of offshore wind farm construction. Background Art
[0002] At present, clean energy has become the main source of energy growth, and energy structure adjustment has made significant progress, with non-fossil energy accounting for 15%. As a rising star in renewable energy and clean energy, domestic offshore wind power began to develop rapidly after 2014. After several years of efforts, the level of offshore wind power manufacturing, construction, and operation and maintenance technology has been continuously improved, showing a good situation in which the cost of power generation is decreasing year by year and the scale of installed capacity is increasing.
[0003] Existing offshore wind farm construction projects are large in scale, which makes them difficult to manage and coordinate. Summary of the invention
[0004] In order to solve the above problems existing in the prior art, the present invention proposes a GIS-based offshore wind farm construction progress visualization management system and method.
[0005] The technical solution of the present invention is as follows:
[0006] On the one hand, the present invention provides a GIS-based offshore wind farm construction progress visualization management system, comprising:
[0007] Data acquisition module, data processing and storage module, GIS visualization module, progress analysis and prediction module, resource management and scheduling module, and risk warning and decision support module;
[0008] The data acquisition module is used to collect offshore wind farm construction data and transmit it to the data processing and storage module;
[0009] The data processing and storage module is used to clean the received offshore wind farm construction data and convert it into a standard format for storage;
[0010] The GIS visualization module is used to obtain offshore wind farm construction data and convert it into geographic spatial information and progress visualization results of offshore wind farm construction;
[0011] The progress analysis and prediction module is used to obtain the analysis results of the offshore wind farm construction progress based on the geographic space information and progress visualization results of the offshore wind farm construction;
[0012] The resource management and scheduling module is used to output resource allocation and scheduling data according to the analysis results of the offshore wind farm construction progress;
[0013] The risk warning and decision support module is used to perform construction risk warning and construction decision support based on resource allocation and scheduling data.
[0014] As a preferred embodiment, the data acquisition module includes a construction site data acquisition unit and an external data integration unit, wherein:
[0015] The construction site data acquisition unit is used to collect construction progress data, environmental monitoring data and equipment status data;
[0016] The external data integration unit is used to integrate the geospatial data of the offshore wind farm and the project planning data.
[0017] As a preferred embodiment, the data processing and storage module includes a data cleaning and conversion unit and a data storage management unit, wherein:
[0018] The data cleaning and conversion unit is used for data clarification and data conversion;
[0019] The data storage management unit is used for database architecture design and data hierarchical storage.
[0020] As a preferred embodiment, the GIS visualization module includes a spatial information unit, a report presentation unit and a comprehensive mapping unit, wherein:
[0021] The spatial information unit is used to display and manage GIS data, including data organization and management and map toolbox;
[0022] The report demonstration unit is used to display the construction progress and management effectiveness data of the offshore wind farm;
[0023] The comprehensive mapping unit is used to import the layer into the mapping template, customize the annotation and symbol information, and output the corresponding picture data.
[0024] As a preferred implementation, the progress analysis and prediction module includes a construction progress comparison and analysis unit and a construction progress prediction unit, wherein:
[0025] The construction progress comparison and analysis unit is used to compare the progress visualization result with the preset construction progress and generate a progress report;
[0026] The construction progress prediction unit is used to establish a construction progress prediction model, visualize the construction progress in the future time period through the current progress, and display the prediction results.
[0027] As a preferred implementation, the resource management and scheduling module includes an ocean terrain statistical analysis unit, an offshore route delivery unit, a sea breeze planning and design unit, a construction organization design unit, a wind resource processing and analysis unit, and a hydrological digital platform unit, wherein:
[0028] The ocean terrain statistical analysis unit is used for identifying and mapping ocean obstacles;
[0029] The offshore route delivery unit is used to plan the delivery route plan and then edit the delivery route plan. At the same time, it can select the site of the booster station on the delivery route, collect the delivery route length, booster station construction cost, cable construction cost information, calculate the cost information of the selected offshore route delivery plan, and generate a report output.
[0030] The sea wind planning and design unit is used to obtain the planning and design results of the wind farm wind turbine position arrangement through the seabed topography, wind speed and direction, offshore routing path planning, and route path information, and output it as point data, and complete the output, interaction and visualization functions of the wind farm planning and design results through the wind farm range and wind turbine position arrangement information;
[0031] The construction organization design unit is used to access meteorological data and ship navigation data to complete VR and AR simulation visualization display functions of the construction organization;
[0032] The wind resource processing and analysis unit is used to download, store, analyze and display ERA5 wind resource reanalysis data;
[0033] The hydrological digital platform unit is used for hydrological database design, hydrological key parameter analysis, hydrological platform function prototype design, hydrological platform function development and hydrological platform function module testing.
[0034] As a preferred implementation, the risk warning and decision support module includes a risk identification and warning unit and a decision support function unit, wherein:
[0035] The risk identification and early warning unit is used to analyze risk factors, set early warning indicators, and publish early warning information;
[0036] The decision support functional unit is used to evaluate construction plans and provide decision suggestions.
[0037] On the other hand, the present invention further proposes a GIS-based offshore wind farm construction progress visualization management method, which is implemented using the GIS-based offshore wind farm construction progress visualization management system as described in any embodiment of the present invention, and the method comprises the following steps:
[0038] Collect and integrate offshore wind farm construction data through the data acquisition module;
[0039] Input the offshore wind farm construction data into the data processing and storage module, clean and convert the offshore wind farm construction data through the data cleaning and conversion unit, and then store it in the data storage management unit;
[0040] The GIS visualization module extracts and displays the offshore wind farm construction data in the data storage management unit, and converts the offshore wind farm construction data into geographic spatial information and progress visualization results of the offshore wind farm construction;
[0041] Input the geospatial information and progress visualization results of the offshore wind farm construction into the progress analysis and prediction module, and obtain the analysis results of the offshore wind farm construction progress through the progress analysis and prediction module;
[0042] Send the analysis results of the offshore wind farm construction progress to the resource management and scheduling module, and use the resource management and scheduling module to obtain resource allocation and scheduling information;
[0043] The resource allocation and scheduling status is sent to the risk warning and decision support module, which identifies potential risks and provides decision support by monitoring the resource allocation and scheduling status.
[0044] On the other hand, the present invention further proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for visual management of offshore wind farm construction progress based on GIS as described in any embodiment of the present invention is implemented.
[0045] On the other hand, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the GIS-based offshore wind farm construction progress visualization management method as described in any embodiment of the present invention.
[0046] The present invention has the following beneficial effects:
[0047] 1. The present invention can comprehensively acquire multi-source data through the data acquisition module, provide an information basis for understanding the project status and help discover inconsistencies. The data processing and storage module can ensure data quality and store data in an orderly manner, avoid decision-making errors and improve query and call efficiency. The GIS visualization module can not only intuitively display the overall project and assist in overall planning, but also efficiently report and display the construction progress and management results. The progress analysis and prediction module helps to grasp the project progress deviation for adjustment. The resource management and scheduling module can manage and coordinate various resources. The risk warning and decision support module can identify risks and provide decision-making suggestions, thereby improving the existing offshore wind farm construction projects. Due to the large scale, the project is difficult to manage and coordinate.
[0048] 2. In the present invention, the marine terrain statistical analysis unit is used to identify and map offshore obstacles to help construction avoid complex terrain. The offshore routing delivery unit is used to rationally plan the power delivery path and the site selection of the substation, taking into account marine conditions and costs. The sea wind planning and design unit is used to plan the layout of wind turbines based on a variety of information to adapt to the environment and maximize the use of wind resources. The construction organization design unit uses meteorological and navigation data to simulate construction to ensure safety and efficiency. The wind resource processing and analysis unit analyzes wind resource data to provide a basis for construction decisions. The hydrological digital platform unit can provide support from a hydrological perspective for coping with construction difficulties in complex marine environments, thereby achieving efficient and safe construction.
[0049] Additional aspects and advantages of the present invention will be set forth in the following description, and some of them will be apparent from the description, or may be understood by practicing the present invention. In addition, the various aspects and advantages of the present invention may be realized and obtained by the method steps and combinations particularly pointed out in the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS
[0050] Figure 1 Schematic diagram of the system architecture of the first embodiment of the present invention. DETAILED DESCRIPTION
[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0052] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.
[0053] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0054] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.
[0055] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.
[0056] Embodiment 1:
[0057] See also Figure 1 This embodiment provides a GIS-based offshore wind farm construction progress visualization management system, including a data acquisition module, a data processing and storage module, a GIS visualization module, a progress analysis and prediction module, a resource management and scheduling module, and a risk warning and decision support module. The data acquisition module collects offshore wind farm construction data through acquisition equipment. The data acquisition module can fully grasp the actual situation of the project, thereby providing data support for project planning, and at the same time improve the accuracy and timeliness of the data, thereby achieving data standardization and normalization to provide a basis for subsequent project decisions, and then transmit it to the data processing and storage module. The data processing and storage module can remove errors, duplications, and incomplete data through data cleaning, unify the format through data conversion, improve accuracy and availability, improve storage efficiency through a reasonable database architecture, and layered storage facilitates query, call, and enhances organization. After data cleaning and conversion by the data processing and storage module, the offshore wind farm construction data is stored and can be supplied to the GIS visualization Module, through the GIS visualization module, the relationship between the construction progress of the offshore wind farm and the geographic spatial information can be intuitively displayed. The GIS visualization module converts the offshore wind farm construction data into the geographic spatial information and progress visualization results of the offshore wind farm construction, and the input is passed to the progress analysis and prediction module. Through the progress analysis and prediction module, the actual and planned progress can be compared, and the future construction situation can be predicted, providing a basis for resource allocation, risk warning and decision optimization to ensure that the project is completed on time. The analysis results of the offshore wind farm construction progress obtained by the progress analysis and prediction module are sent to the resource management and scheduling module. Through the resource management and scheduling module, human resources, equipment, materials and other resources can be reasonably allocated according to the construction progress and geographic spatial information, so as to improve the efficiency of resource utilization and ensure the smooth progress of the project. The resource allocation and scheduling of the resource management and scheduling module are passed to the risk warning and decision support module. Through the risk warning and decision support module, various risks in the construction can be identified and timely warnings can be issued, and decision suggestions can be provided, thereby reducing the impact of risks and ensuring the smooth progress of the project.
[0058] The data acquisition module includes a construction site data acquisition unit and an external data integration unit. The construction site data acquisition unit is used for progress data acquisition, environmental monitoring data acquisition and equipment status data acquisition. The construction site data acquisition unit can obtain data such as the progress, environment and equipment status of each link of the project, providing a basis for fully understanding the construction situation, analyzing the progress and making management decisions. The external data integration unit is used for geospatial data integration and project planning data integration. The external data integration unit can integrate external information such as geospatial data and project planning data, providing a comprehensive background reference and planning basis for the construction of offshore wind farms, and facilitating the effective management of the construction progress.
[0059] The data processing and storage module includes a data cleaning and conversion unit and a data storage management unit. The data cleaning and conversion unit is used for data cleaning and data conversion. Through the data cleaning and conversion unit, impurities in the collected data can be removed and the format can be unified, thereby improving data quality and compatibility, and providing a reliable data foundation for subsequent analysis, storage and visualization. The data storage management unit is used for database architecture design and data hierarchical storage. Through the data storage management unit, various types of data can be effectively organized and stored, which is convenient for data query, update and sharing, and provides stable data support for all modules of the entire system.
[0060] The GIS visualization module includes a spatial information unit, a reporting and demonstration unit, and a comprehensive mapping unit. The spatial information unit is used to display and manage GIS data, including data organization and management, and a map toolbox. The spatial information unit can intuitively present the geographic spatial relationship of the wind farm construction project, providing key spatial location references and analysis basis for progress management, resource scheduling, risk assessment, etc. The reporting and demonstration unit is used to display the progress of offshore wind farm construction and the effectiveness of management. Through the reporting and demonstration unit, the construction progress and other information can be displayed with intuitive and clear visualization results, which is convenient for efficient reporting of project status, results and decision-making basis to different audiences. The comprehensive mapping unit is used to import layers into mapping templates, and customize annotation and symbol information, and can also be output as pictures. Through the comprehensive mapping unit, various types of data can be integrated to produce intuitive thematic maps, thereby clearly presenting various information such as the progress of offshore wind farm construction and geographical relationships.
[0061] The progress analysis and prediction module includes a construction progress comparison and analysis unit and a construction progress prediction unit. The construction progress comparison and analysis unit is used for data comparison and report generation. The construction progress comparison and analysis unit can intuitively present the difference between the actual and planned progress, providing a basis for timely adjustment of construction strategies and optimization of resource allocation to ensure that the project proceeds as expected. The construction progress prediction unit is used for model establishment and prediction result display. The construction progress prediction unit can be used to estimate the future construction progress based on existing data, provide forward-looking guidance for resource scheduling, risk management and project planning, and ensure the smooth completion of the project.
[0062] The resource management and scheduling module includes an ocean terrain statistical analysis unit, an offshore route delivery unit, a sea breeze planning and design unit, a construction organization design unit, a wind resource processing and analysis unit, and a hydrological digital platform unit. The ocean terrain statistical analysis unit is used for offshore obstacle identification and offshore obstacle mapping. The ocean terrain statistical analysis unit can analyze ocean terrain data to provide terrain-related decision-making basis for the site selection, construction planning, risk assessment, and construction plan optimization of offshore wind farms. The offshore route delivery unit is used to plan the delivery route plan and then edit the delivery route plan. At the same time, it can perform The booster station is sited, and the transmission path length, booster station construction cost, and cable construction cost information are collected. The cost information of the selected offshore route transmission plan is automatically calculated, and a report output is generated. The offshore route transmission unit can plan and optimize the line path of offshore wind farm power transmission to ensure efficient and stable transmission of power and provide relevant construction information for project progress management. The offshore wind planning and design unit is used to obtain the planning and design results of the wind farm wind turbine position arrangement through seabed topography, wind speed and direction, offshore route path planning, and route path information, and output it as point data, and then through the wind farm range, The wind turbine position arrangement and other information can be used to complete the output, interaction and visualization functions of the integrated circuit design results of the wind farm. The sea wind planning and design unit can be used to reasonably layout and plan the wind farm based on geographic information, and provide a scientific solution for the construction of offshore wind farms to effectively promote the project progress. The construction organization design unit is used to access meteorological data and ship navigation data to complete the VR and AR simulation visualization display functions of the construction organization. The construction organization design unit can plan the construction process and resource allocation based on relevant information such as geographic space to improve construction efficiency and ensure that the construction progress is carried out as planned. The wind resource processing and analysis unit is used to download, store, analyze and display ERA5 wind resource reanalysis data. The wind resource processing and analysis unit can analyze wind resource data to provide wind condition basis for wind farm site selection, wind turbine layout and construction progress adjustment to ensure maximum project benefits. The hydrological digital platform unit is used for hydrological database design, hydrological key parameter analysis, hydrological platform function prototype design, platform function development and functional module testing. The hydrological digital platform unit can analyze marine hydrological data to provide hydrological-related decision support for the site selection, infrastructure, construction safety and construction schedule of offshore wind farms.
[0063] The risk warning and decision support module includes a risk identification and warning unit and a decision support functional unit. The risk identification and warning unit is used for risk factor analysis, warning indicator setting and warning information release. Through the risk identification and warning unit, various risk factors in the construction process can be discovered in time and early warnings can be issued, providing a basis for taking countermeasures and ensuring the smooth progress of the project. The decision support functional unit is used for program evaluation and decision-making recommendations. Through the decision support functional unit, various types of information can be integrated to give scientific decision-making recommendations, helping project managers optimize construction strategies, resource allocation and risk response, and ensure project progress and benefits.
[0064] Embodiment 2:
[0065] This embodiment provides a GIS-based offshore wind farm construction progress visualization management method, including the following steps:
[0066] S1. Collect and integrate the data of offshore wind farm construction through the data acquisition module;
[0067] S2, inputting the offshore wind farm construction data into the data processing and storage module, cleaning and converting the offshore wind farm construction data through the data cleaning and conversion unit, and then storing the data in the data storage management unit;
[0068] S3, GIS visualization module extracts and displays the offshore wind farm construction data in the data storage management unit, and converts the offshore wind farm construction data into geographic spatial information and progress visualization results of the offshore wind farm construction;
[0069] S4. Inputting the geographic spatial information and progress visualization results of the offshore wind farm construction into the progress analysis and prediction module, and the progress analysis and prediction module obtains the analysis results of the offshore wind farm construction progress through analysis and prediction;
[0070] S5. Send the analysis results of the offshore wind farm construction progress to the resource management and scheduling module, and obtain the resource allocation and scheduling status through the resource management and scheduling module;
[0071] S6. Send the resource allocation and scheduling status to the risk warning and decision support module. The risk warning and decision support module identifies potential risks and provides decision support by monitoring the resource allocation and scheduling status.
[0072] Embodiment three:
[0073] This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the GIS-based offshore wind farm construction progress visualization management method as described in any embodiment of the present invention is implemented.
[0074] Embodiment 4:
[0075] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the GIS-based offshore wind farm construction progress visualization management method as described in any embodiment of the present invention is implemented.
[0076] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated 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 single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.
[0077] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0078] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0079] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.
[0080] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A GIS-based offshore wind farm construction progress visualization management system, characterized in that: include: Data acquisition module, data processing and storage module, GIS visualization module, progress analysis and prediction module, resource management and scheduling module, and risk warning and decision support module; The data acquisition module is used to collect offshore wind farm construction data and transmit it to the data processing and storage module; The data processing and storage module is used to clean the received offshore wind farm construction data and convert it into a standard format for storage; The GIS visualization module is used to obtain offshore wind farm construction data and convert it into geographic spatial information and progress visualization results of offshore wind farm construction; The progress analysis and prediction module is used to obtain the analysis results of the offshore wind farm construction progress based on the geographic space information and progress visualization results of the offshore wind farm construction; The resource management and scheduling module is used to output resource allocation and scheduling data according to the analysis results of the offshore wind farm construction progress; The risk warning and decision support module is used to perform construction risk warning and construction decision support based on resource allocation and scheduling data.
2. A GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The data acquisition module includes a construction site data acquisition unit and an external data integration unit, wherein: The construction site data acquisition unit is used to collect construction progress data, environmental monitoring data and equipment status data; The external data integration unit is used to integrate the geospatial data of the offshore wind farm and the project planning data.
3. A GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The data processing and storage module includes a data cleaning and conversion unit and a data storage management unit, wherein: The data cleaning and conversion unit is used for data clarification and data conversion; The data storage management unit is used for database architecture design and data hierarchical storage.
4. A GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The GIS visualization module includes a spatial information unit, a report presentation unit, and a comprehensive mapping unit, wherein: The spatial information unit is used to display and manage GIS data, including data organization and management and map toolbox; The report demonstration unit is used to display the construction progress and management effectiveness data of the offshore wind farm; The comprehensive mapping unit is used to import the layer into the mapping template, customize the annotation and symbol information, and output the corresponding picture data.
5. The GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The progress analysis and prediction module includes a construction progress comparison and analysis unit and a construction progress prediction unit, wherein: The construction progress comparison and analysis unit is used to compare the progress visualization result with the preset construction progress and generate a progress report; The construction progress prediction unit is used to establish a construction progress prediction model, visualize the construction progress in the future time period through the current progress, and display the prediction results.
6. The GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The resource management and scheduling module includes an ocean terrain statistical analysis unit, an offshore route delivery unit, an ocean wind planning and design unit, a construction organization design unit, a wind resource processing and analysis unit, and a hydrological digital platform unit, wherein: The ocean terrain statistical analysis unit is used for identifying and mapping ocean obstacles; The offshore route delivery unit is used to plan the delivery route plan and then edit the delivery route plan. At the same time, it can select the site of the booster station on the delivery route, collect the delivery route length, booster station construction cost, cable construction cost information, calculate the cost information of the selected offshore route delivery plan, and generate a report output. The sea wind planning and design unit is used to obtain the planning and design results of the wind farm wind turbine position arrangement through the seabed topography, wind speed and direction, offshore routing path planning, and route path information, and output it as point data, and complete the output, interaction and visualization functions of the wind farm planning and design results through the wind farm range and wind turbine position arrangement information; The construction organization design unit is used to access meteorological data and ship navigation data to complete VR and AR simulation visualization display functions of the construction organization; The wind resource processing and analysis unit is used to download, store, analyze and display ERA5 wind resource reanalysis data; The hydrological digital platform unit is used for hydrological database design, hydrological key parameter analysis, hydrological platform function prototype design, hydrological platform function development and hydrological platform function module testing.
7. The GIS-based offshore wind farm construction progress visualization management system according to claim 1, characterized in that: The risk warning and decision support module includes a risk identification and warning unit and a decision support function unit, wherein: The risk identification and early warning unit is used to analyze risk factors, set early warning indicators, and publish early warning information; The decision support functional unit is used to evaluate construction plans and provide decision suggestions.
8. A GIS-based offshore wind farm construction progress visualization management method, characterized in that: The method is implemented using the GIS-based offshore wind farm construction progress visualization management system as described in any one of claims 1 to 7, and comprises the following steps: Collect and integrate offshore wind farm construction data through the data acquisition module; Input the offshore wind farm construction data into the data processing and storage module, clean and convert the offshore wind farm construction data through the data cleaning and conversion unit, and then store it in the data storage management unit; The GIS visualization module extracts and displays the offshore wind farm construction data in the data storage management unit, and converts the offshore wind farm construction data into geographic spatial information and progress visualization results of the offshore wind farm construction; Input the geospatial information and progress visualization results of the offshore wind farm construction into the progress analysis and prediction module, and obtain the analysis results of the offshore wind farm construction progress through the progress analysis and prediction module; Send the analysis results of the offshore wind farm construction progress to the resource management and scheduling module, and use the resource management and scheduling module to obtain resource allocation and scheduling information; The resource allocation and scheduling status is sent to the risk warning and decision support module, which identifies potential risks and provides decision support by monitoring the resource allocation and scheduling status.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the GIS-based offshore wind farm construction progress visualization management method as described in any one of claim 8 is implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the GIS-based offshore wind farm construction progress visualization management method as described in any one of claim 8 is implemented.
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