Geographical information-based multi-dimensional data management and statistical system and method

Abstract

The application discloses a kind of multi-dimension data management and statistics system and method based on geographic information, wherein the system comprises: data file entry module, for entering the data file obtained by ship industry scientific research test into server and adding multi-dimension information;Data file labeling module, for data labeling classification of the entered data file and adding data label;Data file geographic information and data correlation module, for obtaining the geographic position information of data file and the corresponding geographic position in server correlation;Data statistics and display module, for obtaining the attribute information, multi-dimension information, data label and geographic position information of data file in server, and carrying out data statistics and display.The multi-dimension data management and statistics system based on geographic information disclosed in the application realizes multi-dimension data classification entry of ship industry scientific research test, improves classification accuracy and data subsequent application reliability, and improves regional data correlation analysis capability.

Description

Technical Field

[0001] This invention relates to the field of data processing technology in the shipbuilding industry, and in particular to a multi-dimensional data management and statistical system and method based on geographic information. Background Technology

[0002] Current technical solutions in the field of data processing in the shipbuilding industry mainly rely on two types of data tools: one is general-purpose data statistics tools, such as Excel and traditional BI systems, which can realize basic data entry, simple classification and single-dimensional statistical functions; the other is more targeted professional systems, such as some ship test data management platforms and geographic information display tools. Some of these solutions have attempted to combine geographic information or multi-dimensional statistical functions to realize multi-dimensional data statistical analysis capabilities and have basic geographic information and data visualization linkage functions.

[0003] While existing technical solutions meet basic data processing needs to some extent, they still suffer from several core problems that make them ill-suited to the specific needs of the shipbuilding industry: First, the shipbuilding industry generates a large volume of scientific research and testing data, lacks standardized data entry principles, suffers from low data management efficiency, and exhibits severe data silos. Second, statistical dimensions are rigid; general-purpose tools only support basic dimensions such as the number of records and volume, failing to meet the shipbuilding industry's dynamic statistical needs for specific dimensions such as the proportion of target types, the growth rate of physical field data, and the allocation of resources by responsible units. Third, geographic information linkage is weak, lacking the ability to perform linked analysis of mapped regions based on sea area coordinates. Fourth, data management and visualization are disconnected; there is no function to automatically generate industry-specific tags when entering data, requiring repeated filtering and classification for subsequent statistical calls, significantly increasing redundant workload. Fifth, large-screen display scenarios are not adequately adapted; existing solutions often focus on displaying a single core indicator, failing to simultaneously present multi-dimensional results such as regional distribution, type proportion, and time trends. Summary of the Invention

[0004] This invention addresses the problems existing in the prior art by proposing a multi-dimensional data management and statistical system and method based on geographic information. The technical means employed in this invention are as follows: A multi-dimensional data management and statistical system based on geographic information, comprising: The data file entry module is used to enter the obtained data files from shipbuilding industry scientific research and testing into the server, and to add multi-dimensional information to the entered data files; The data file tagging module is used to classify and tag the entered data files and add data tags. The data file geographic information and data association module is used to obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or to create a corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. The data statistics and display module is used to obtain the attribute information, multi-dimensional information, data tags, and geographical location information of the data files in the server, and to perform data statistics and display.

[0005] Furthermore, the multi-dimensional information includes target management dimension information, device management dimension information, task management dimension information, and device task management dimension information; The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image. The equipment management dimension information includes the equipment number, equipment name, security classification, equipment type, responsible unit, and one or more pieces of information in the image; The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks. The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks.

[0006] Furthermore, the data files for the shipbuilding industry scientific research and testing come from both experimental mission data and open-source data. Furthermore, the data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type; The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment is tagged and classified into environmental data for different sea areas; The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

[0007] Furthermore, the attribute information of the data file includes its number, file name, file extension, file size, and storage location.

[0008] A method for multi-dimensional data management and statistics based on geographic information includes the following steps: Step 1: Obtain the data file of scientific research and testing in the shipbuilding industry, enter the data file into the server, and add multi-dimensional information to the entered data file; Step 2: Classify and tag the data files entered into the server; Step 3: Obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or create a corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. Step 4: Obtain the attribute information, multi-dimensional information, data tags, and geographic location information of the data file, and perform data statistics and display.

[0009] Furthermore, the multi-dimensional information includes target management dimension information, device management dimension information, task management dimension information, and device task management dimension information; The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image. The equipment management dimension information includes the equipment number, equipment name, security classification, equipment type, responsible unit, and one or more pieces of information in the image; The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks. The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks.

[0010] Furthermore, the data files for the shipbuilding industry scientific research and testing come from both experimental mission data and open-source data.

[0011] Furthermore, the data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type; The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment is tagged and classified into environmental data for different sea areas; The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

[0012] Furthermore, the attribute information of the data file includes its number, file name, file extension, file size, and storage location.

[0013] Compared with existing technologies, the multi-dimensional data management and statistics system based on geographic information disclosed in this invention has the following beneficial effects: This system adds multi-dimensional information, tags and classifies data, and associates it with geographic locations on data files obtained from shipbuilding industry scientific research and testing. This enables multi-dimensional data classification and entry for shipbuilding industry scientific research and testing, improving classification accuracy and the reliability of subsequent data applications. It also meets the diverse statistical needs of the shipbuilding industry across multiple scenarios, enabling dynamic switching of statistical dimensions and enhancing the flexibility and adaptability of data statistics. Furthermore, it strengthens the deep linkage between geographic information and data, achieving precise positioning and visual interaction of marine data, and improving the ability to perform regional data correlation analysis. Attached Figure Description

[0014] Figure 1 This is a structural block diagram of the multi-dimensional data management and statistics system based on geographic information disclosed in this invention; Figure 2 This is a display interface diagram of the multi-dimensional data management and statistics system based on geographic information disclosed in this invention; Figure 3 This is a flowchart of the multi-dimensional data management and statistical method based on geographic information disclosed in this invention; Figure 4 The structural framework diagram of the multi-dimensional data management and statistics system based on geographic information disclosed in this invention is shown below. Detailed Implementation

[0015] A multi-dimensional data management and statistical system based on geographic information, comprising: The data file entry module is used to enter the obtained data files from shipbuilding industry scientific research and testing into the server, and to add multi-dimensional information to the entered data files; The data file tagging module is used to classify and tag the entered data files and add data tags. The data file geographic information and data association module is used to obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or to create the corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. The data statistics and display module is used to obtain the attribute information, multi-dimensional information, data tags, and geographical location information of the data files in the server, and to perform data statistics and display.

[0016] Specifically, such as Figure 1As shown, the multi-dimensional data management and statistics system based on geographic information disclosed in this invention includes a data file entry module, which can enter data files into the server and add multi-dimensional information to the data files. This multi-dimensional information can be obtained from project reports, project records, and other documents related to scientific research and testing in the shipbuilding industry. Operators can enter the corresponding information into the server through the data entry module, thus adding dimensional information to the data files. A data file tagging module is used to classify and tag the entered data files and add data tags. A data file geographic information and data association module is used to obtain the geographic location information of the data files (the geographic location information can be obtained from the multi-dimensional information entered in the data file entry module). The server includes a geographic location storage module that stores the geographic location data (latitude and longitude values) of existing data files. For newly entered data files, the data file geographic information and data association module obtains the geographic location information of the file and checks if the geographic location information exists in the server's geographic location storage module. If it exists, the data for that geographic location information is updated, such as the number of entries and the size of the geographic location information. If the geographic location information does not exist in the server's geographic location storage module, the data file geographic information and data association module creates the geographic location information in the server's geographic location storage module and then updates the data for that geographic location information. The data statistics and display module in this application is used to obtain the attribute information, multi-dimensional information, data tags, and geographic location information of the data files on the server, and to perform data statistics and display. This data statistics and display module can perform statistical analysis on the input data files from multiple dimensions and display the statistical results from different dimensions.

[0017] The multi-dimensional data management and statistics system based on geographic information disclosed in this invention adds multi-dimensional information, tags and classifies data, and associates it with geographic locations on data files obtained from shipbuilding industry scientific research and testing. This enables multi-dimensional data classification and entry for shipbuilding industry scientific research and testing, improving classification accuracy and the reliability of subsequent data applications. It meets the differentiated statistical needs of the shipbuilding industry in multiple scenarios, enables dynamic switching of statistical dimensions, and improves the flexibility and adaptability of data statistics. It strengthens the deep linkage between geographic information and data, realizes precise positioning and visual interaction of marine data, and enhances the ability of regional data correlation analysis.

[0018] Specifically, the multi-dimensional information of the data file can be obtained from project reports, project records, and other documents related to scientific research and testing in the shipbuilding industry. Operators then input the corresponding information into the server, thereby increasing the dimensional information of the data file. The data file of this invention generally refers to data collected by various sensors of various testing equipment. The data file itself contains relatively little information, making it inconvenient for subsequent statistics and processing. In this application, the data file input module not only inputs the data file into the server for storage and processing, but also adds information to the input data file in multiple dimensions based on information from test project reports, test project records, and other documents. This facilitates subsequent statistics and processing of the data file from different dimensions. In this application, the multi-dimensional information includes target management dimension information, equipment management dimension information, task management dimension information, and equipment task management dimension information. The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image; preferably, the target management dimension information includes at least three types of information: number, target name, and type. The equipment management dimension information includes equipment number, equipment name, security classification, equipment type, responsible unit, and one or more types of information in the image; preferably, the equipment management dimension information includes at least two types of information: equipment number and equipment name. The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks; preferably, the task management dimension information includes at least the following information: number, task name, security classification, responsible unit, objective, physical field, and location; The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks; preferably, the device task management dimension information includes at least three types of information: number, device task name, and associated device.

[0019] This application adds different information to the entered data files from four dimensions: target management, equipment management, task management, and equipment task management, through the data file entry module. This makes it easier to perform subsequent statistical analysis and processing of the data files from different dimensions, thereby improving the statistical analysis capabilities of the data files.

[0020] Furthermore, the data files for the shipbuilding industry scientific research and testing come from both experimental mission data and open-source data. Specifically, in this application, the data files for scientific research and testing in the shipbuilding industry can be sourced from experimental task data and open-source data, thereby enabling the statistical analysis of different data files.

[0021] Furthermore, this application also includes a data file tagging module, which enables the tagging and classification of data files and the addition of tags to the data files to facilitate subsequent statistical processing. In this application, the data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type. The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment labeling classification is divided into environmental data of different sea areas, such as the East China Sea, South China Sea, Bohai Sea, Yellow Sea, Mediterranean Sea, North China Sea and Red Sea, etc. The specific marine environment labels can be set as needed. The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

[0022] This invention uses a data file tagging module to classify and label data files, enabling each data file to have multiple tag categories. This facilitates subsequent statistical analysis of the data files and improves their statistical analysis capabilities.

[0023] Furthermore, the attribute information of the data file includes its number, file name, file extension, file size, and storage location.

[0024] Figure 2This invention, based on multi-dimensional data management and statistics of geographic information, performs multi-dimensional information addition, tag classification, and geographic location information association on data files, and then performs statistics and displays the results. It includes a total of 9 display modules. Display module 1 displays the overall statistical information of all data files (e.g., total data volume (10,000 records), total data volume (TB), new data added this month (10,000 records), new data added this month (TB)). Display module 2 displays geographic location association data (e.g., displaying the location + data name of the corresponding geographic location in a specific map model, as well as the size and number of records of the data file for that location). Display module 3 displays comprehensive data analysis (e.g., including target counts, environmental survey stations, military targets, civilian targets (10,000 records), marine environmental data (TB), and open source data (TB)). Display module 8 displays the thematic database, and display module 9 displays the basic information of data file entry (including serial number, notification topic, size, release date, creator, and operation).

[0025] like Figure 3 As shown, the method for multi-dimensional data management and statistics based on geographic information disclosed in this invention includes the following steps: Step 1: Obtain the data file of scientific research and testing in the shipbuilding industry, enter the data file into the server, and add multi-dimensional information to the entered data file; Step 2: Classify and tag the data files entered into the server; Step 3: Obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or create a corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. Step 4: Obtain the attribute information, multi-dimensional information, data tags, and geographic location information of the data file, and perform data statistics and display. The method and system implementation of multi-dimensional data management and statistics based on geographic information disclosed in this invention are consistent and will not be described in detail here.

[0026] Furthermore, the multi-dimensional information includes target management dimension information, device management dimension information, task management dimension information, and device task management dimension information; The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image. The equipment management dimension information includes the equipment number, equipment name, security classification, equipment type, responsible unit, and one or more pieces of information in the image; The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks. The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks.

[0027] Furthermore, the data files for the shipbuilding industry scientific research and testing include test mission data and open-source data.

[0028] Furthermore, the data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type; The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment is tagged and classified into environmental data for different sea areas; The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

[0029] Furthermore, the attribute information of the data file includes its number, file name, file extension, file size, and storage location.

[0030] Example The data file in this embodiment comes from the experimental task data, specifically the test data management scenario of a certain experimental task of a scientific research unit (applicable role: project manager). 1. Background of the data source for this test mission: A ship research and testing unit is conducting a one-month underwater physical field test project involving a ship target type (UUV), a physical field type (sound field), and a test location (X sea area in the South China Sea). The project requires efficient data entry, classification and statistics, geographic positioning, and project progress monitoring.

[0031] 2. System application process, namely, the steps for processing experimental task data using the system disclosed in this invention are as follows: Step 1: Obtain the test task data from the ship's scientific research and testing unit, enter the test task data file into the server, and add multi-dimensional information to the entered data file; The multi-dimensional information includes target management, equipment management, task management, and equipment task management dimensions, as detailed below: The target information added in the target management (target management dimension information) includes the following: number (automatically generated), target name (UUV1), security level (unclassified), type (X1), hull number (101), nationality (China), remarks (test data), and image, etc. Basic information about equipment related to equipment management, maintenance, and testing (equipment management dimension information) includes: Test Equipment 1: Number (automatically generated), Equipment Name (Test Equipment 1), Security Classification (Unclassified), Equipment Type (Horizontal Matrix), Responsible Unit (Department 1), and images, etc. Test Equipment 2: Includes information such as number (automatically generated), equipment name (Test Equipment 2), security classification (unclassified), equipment type (vertical array), responsible unit (department 1), and image; Task management maintains basic task information (task management dimension information), including number (automatically generated), task name (test task 1), security level (unclassified), responsible unit (Room 1), task cycle start (2025.1), task cycle end (2025.2), target (UUV1), task source (unknown), physical field (sound field), location (South China Sea X area), purpose, and remarks, etc. The task management module associates the devices used in the task (device task management dimension information), including "Test Device 1" and "Test Device 2," and adds "device task management dimension information." The device task management dimension information includes: ID (automatically generated), device task name (Test Device 1 Task 1), device task type (Test), associated device (Test Device 1), task start date (2025.1), task end date (2025.2), and remarks; ID (automatically generated), device task name (Test Device 2 Task 1), device task type (Test), associated device (Test Device 2), task start date (2025.1), task end date (2025.2), and remarks. The experiment will generate relevant data files. When these documents are entered, attribute information such as number, file name, file extension, file size, and storage location will be automatically generated. Enter the "data file" through the corresponding equipment task (Test Equipment 1 Task 1) in "Equipment Task Management". You need to add the data file batch number (10010). Importing data will automatically obtain information such as the file name (data file 1), format (wav), file size (2GB), and entry time (2025.10).

[0032] Step 2: Classify and tag the data files entered into the server, and add data tags. The specific process is as follows; The data file is tagged and categorized, and the tags for this data file are as follows: Military target label: target type (UUV), model (X1) and hull number (101); Marine environmental label: (South China Sea X Sea Area: Coordinates "Latitude xx°xx′, Longitude xx°xx′"); Physics field tag: (sound field); Security classification label: (Unclassified); Responsible Unit Tag: (Department 1); Step 3: Obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or create a corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. The specific process is as follows: The geographic location storage module on the server does not store the geographic location data of the existing data file (South China Sea X area: coordinate information "north latitude xx°xx′, east longitude xx°xx′"). Therefore, first add the geographic location data (South China Sea X area: coordinate information "north latitude xx°xx′, east longitude xx°xx′") to the geographic location storage module, and then associate the data file with the geographic location information. Step 4: Obtain the attribute information, multi-dimensional information, data tags, and geographic location information of the data file, and perform data statistics and display. The specific process is as follows: The data statistics and display module performs data statistics, updates, and displays based on the attribute information, multi-dimensional information, data tags, and geographical location information of the data file. When a data file is included, the total data volume in display module 1 increases by one, and the total data capacity increases by 2GB. The location "South China Sea X Sea Area" is added to display module 2, and the number and capacity of the data entry are displayed. In display module 3, the target entry number and environmental survey station location are added by one. In display module 4, the military target is added by one. In display module 5, the proportion of the physical field "sound field", the type proportion, and the security level proportion are recalculated. In display module 6, the data volume of department 1 is updated.

[0033] The system standardizes and streamlines the data entry process for scientific research and testing, improving entry efficiency, ensuring accurate data classification, and providing geographic information positioning accuracy that meets project requirements. Project managers can monitor project progress in real time through a large data dashboard, providing data support for the smooth progress of the project.

[0034] like Figure 4 As shown, the system data transmission disclosed in this application can be implemented using a B / S architecture. Users interact with the system through a browser. The system is installed on a server, and users only need a web browser to use it, featuring cross-platform compatibility and no installation required. The business interaction layer is the user interface for operating the system; users access the business service frontend using a browser. The business service layer is the core of the system, playing a crucial role in connecting the upper and lower layers and handling backend business. The data service layer provides database services according to business needs. The data storage layer adopts distributed file storage to achieve distributed storage of multi-source heterogeneous data. Each layer achieves loosely coupled data interaction through standardized RESTful API interfaces, supporting independent deployment and iterative upgrades of modules. The interfaces use JSON format for data transmission, supporting request parameter validation and response result formatting, forming a complete business closed loop of "data entry - classification - association - display - statistics - management".

[0035] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A multi-dimensional data management and statistical system based on geographic information, characterized in that, include: The data file entry module is used to enter the obtained data files from shipbuilding industry scientific research and testing into the server, and to add multi-dimensional information to the entered data files; The data file tagging module is used to classify and tag the entered data files and add data tags. The data file geographic information and data association module is used to obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or to create the corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. The data statistics and display module is used to obtain the attribute information, multi-dimensional information, data tags, and geographical location information of the data files in the server, and to perform data statistics and display. The multi-dimensional information includes target management dimension information, equipment management dimension information, task management dimension information, and equipment task management dimension information; The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image. The equipment management dimension information includes the equipment number, equipment name, security classification, equipment type, responsible unit, and one or more pieces of information in the image; The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks. The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks.

2. The multi-dimensional data management and statistical system based on geographic information according to claim 1, characterized in that: The data files for the shipbuilding industry's scientific research and testing come from both experimental task data and open-source data.

3. The multi-dimensional data management and statistical system based on geographic information according to claim 2, characterized in that: The data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type; The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment is tagged and classified into environmental data for different sea areas; The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

4. The multi-dimensional data management and statistical system based on geographic information according to claim 3, characterized in that: The attribute information of the data file includes its number, file name, file extension, file size, and storage location.

5. A method for multi-dimensional data management and statistics based on geographic information, characterized in that, Includes the following steps: Step 1: Obtain the data file of scientific research and testing in the shipbuilding industry, enter the data file into the server, and add multi-dimensional information to the entered data file; Step 2: Classify and tag the data files entered into the server; Step 3: Obtain the geographic location information of the data file and associate the geographic location information of the data file with the corresponding geographic location in the server; or create a corresponding geographic location in the server and associate the geographic location information of the data file with the created corresponding geographic location. Step 4: Obtain the attribute information, multi-dimensional information, data tags, and geographic location information of the data file, and perform data statistics and display; The multi-dimensional information includes target management dimension information, equipment management dimension information, task management dimension information, and equipment task management dimension information; The target management dimension information includes one or more of the following: number, target name, security classification, type, hull number, nationality, remarks, and image. The equipment management dimension information includes the equipment number, equipment name, security classification, equipment type, responsible unit, and one or more pieces of information in the image; The task management dimension information includes one or more of the following: number, task name, security classification, responsible unit, task start date, task end date, objective, task source, physical field, location, purpose, and remarks. The device task management dimension information includes one or more of the following: number, device task name, device task type, associated device, task start date, task end date, and remarks.

6. The multi-dimensional data management and statistical method based on geographic information according to claim 5, characterized in that: The data files for the shipbuilding industry's scientific research and testing come from both experimental task data and open-source data.

7. The multi-dimensional data management and statistical method based on geographic information according to claim 6, characterized in that: The data tagging classification includes military targets, civilian targets, marine environment, physical field, data type, security classification, responsible unit, and open source data type; The military target labeling classification includes target type, model, and hull number; The civilian target labeling classification includes cargo ships, fishing vessels, oil tankers, container ships, passenger ships, and ground effect ships; The marine environment is tagged and classified into environmental data for different sea areas; The physical field labeling classification includes sound field, electric field, magnetic field, infrared, and visible light; The data type labeling classification includes target test data and marine environmental data; The classification of security levels includes internal, non-classified, confidential, and public. The categorization of responsible units includes the data source department and the data ownership department; The open-source data type tagging classification includes ship targets, marine life, and the marine environment.

8. The multi-dimensional data management and statistical method based on geographic information according to claim 7, characterized in that: The attribute information of the data file includes its number, file name, file extension, file size, and storage location.

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