Distributed integration and management system for multi-site ocean observation data

Abstract

The application provides a multi-station ocean observation data distributed integration management system, which comprises system software, the system software is composed of a data aggregation subsystem, a data management subsystem, a data model subsystem and a set of ocean calculation and analysis plug-ins, the data aggregation subsystem comprises a meteorological and ocean data resource library and a data lead-in module, the data management subsystem comprises a data storage management module and a data sharing service module, and the data model subsystem comprises an ocean hydrological element model library, a basic support service model library and an environmental data calculation and analysis model service module; the multi-station ocean observation data distributed integration management system realizes data aggregation, management, analysis and mining functions, can meet the specific needs of application systems and users, and realizes customized model analysis functions.

Description

Technical Field

[0001] This invention belongs to the field of marine data integration and management, and in particular relates to a distributed integration and management system for multi-site marine observation data. Background Technology

[0002] The following technical defects and limitations are currently prevalent in the field of ocean observation: 1. Traditional systems lack the ability to uniformly integrate multi-site, distributed data, and cannot effectively cover all elements of meteorological and marine data; 2. Existing technical solutions suffer from functional fragmentation in data aggregation, management, analysis, and mining, making it difficult to form a complete business loop; 3. The existing system cannot provide customized model analysis functions according to the specific needs of users; 4. Traditional meteorological tools suffer from pain points such as data silos, weak interaction, and poor industry adaptability, which cannot meet the scenario-based needs of more than 10 fields such as government emergency response, energy management, and traffic dispatch, resulting in insufficient disaster early warning accuracy and limited decision support capabilities.

[0003] In summary, existing marine observation data management systems have significant shortcomings in terms of data integration depth, functional coverage breadth, and operational support accuracy. There is an urgent need to build a distributed integrated management system that can achieve full-process data management, support customized analysis, and has high scalability. Summary of the Invention

[0004] In view of this, the present invention aims to propose a distributed integrated management system for multi-site marine observation data, in order to solve the shortcomings of existing marine observation data management that is incomplete, unable to meet the specific needs of application systems and users, and unable to realize customized model analysis.

[0005] To achieve the above objectives, the technical solution of the present invention is implemented as follows: A distributed integrated management system for multi-site marine observation data includes system software, which comprises a data aggregation subsystem, a data management subsystem, a data model subsystem, and a set of marine computing and analysis plugins. The data aggregation subsystem includes a meteorological and oceanographic data resource library and a data acquisition module. The data acquisition module is used to acquire raw data from external systems, clean, perform quality control and standardization on the raw data, and classify and store the processed data in the meteorological and oceanographic data resource library. The data management subsystem includes a data storage management module and a data sharing service module. The data storage management module is used for classifying and managing the data in the meteorological and oceanographic data resource database, extracting metadata, maintaining the catalog, and updating, storing, deleting, and retrieving the data. The data sharing service module is used to provide online data publishing and subscription services. The data model subsystem includes a marine hydrological element model library, a basic support service model library, and an environmental data calculation and analysis model service module. The marine hydrological element model library includes a marine element model library and a marine phenomenon model library. The environmental data calculation and analysis model service module is used to provide calculation and analysis services for the models in the marine hydrological element model library to the outside world through a RESTful service interface. The ocean computing and analysis plugin suite contains multiple plugins for extracting and analyzing marine environmental elements, used for extracting elements, identifying phenomena, and visualizing marine observation data.

[0006] Furthermore, the meteorological and oceanographic data resource library covers eight categories of meteorological and hydrological environmental element data and six categories of marine hydrological environmental element data; the meteorological and oceanographic data resource library also provides a resource data access engine to support distributed storage and multi-dimensional query of environmental data resources; The data acquisition module is configured to acquire meteorological and hydrological data and marine hydrological data in both online real-time and offline batch processing modes, and supports spatial reference transformation, data aggregation, and consistency processing of the data.

[0007] Furthermore, the data storage management module is also configured with database monitoring, database backup and database recovery functions, as well as log management functions; The data sharing service module supports concurrent access by multiple users and enables real-time sharing and circulation of data through data subscription and interface access services.

[0008] Furthermore, the marine element model library is used to focus on elements such as temperature, salinity, density, ocean current velocity, wave height, sea ice coverage, and tidal height. It supports the access of multi-source heterogeneous data and achieves unified conversion and dynamic adaptation of data formats through standardized interfaces and modular design. The ocean phenomenon model library is used to integrate the extraction and analysis of salinity strata, temperature strata, density strata, storm surges, ocean fronts, ocean internal waves, and mesoscale eddies, and to construct a comprehensive computing framework covering multi-physics fields, multi-scale, and multi-modal data.

[0009] Furthermore, the environmental data calculation and analysis model service module provides model extraction and model analysis result calling services to external systems through API service interfaces, so as to support external systems to query and statistically analyze marine data in real time.

[0010] Furthermore, the ocean computing analysis plugin set includes: seawater temperature extraction plugin, seawater salinity extraction plugin, seawater density extraction plugin, ocean current velocity / direction extraction plugin, ocean wave height / direction extraction plugin, sea ice cover extraction plugin, tidal height extraction plugin, salinity stratification extraction analysis plugin, temperature stratification extraction plugin, and density stratification extraction analysis plugin.

[0011] Furthermore, the system software is configured with a user permission management module, which is configured with five types of role permissions: general user, operation and maintenance management user, central business management user, node user, and system administrator. The data processing flow of the system software is configured as follows: raw data from external systems is accessed through the data acquisition module, converted into standard format data by the data processing tool, and stored in the meteorological and oceanographic data resource library; the data management subsystem performs dynamic directory management and full-process metadata management based on the meteorological and oceanographic data resource library, and provides data subscription and interface access services to the outside world; the data model subsystem provides calculation parameter support based on the standardized data in the meteorological and oceanographic data resource library, and provides services to the outside world by independently encapsulating analysis models through the oceanographic calculation and analysis plugin set.

[0012] Compared with existing technologies, the multi-site marine observation data distributed integration management system described in this invention has the following advantages: (1) The data aggregation subsystem described in this invention can acquire raw data from external systems and, through data cleaning, data quality control, standardization and other processing procedures, classify and store the external data in a data resource library to provide basic data support so that subsequent data models and data sharing services can be called in a standard data format. (2) The data management subsystem described in this invention can classify and manage the data types of meteorological and marine elements; maintain the relevant data resource catalog; extract data resource metadata and perform maintenance operations; provide comprehensive statistical data resources and data update, storage, deletion, retrieval, query, import, export and other operations; provide version management functions and resource display for meteorological, marine and other data; provide database monitoring, database backup and database recovery functions, and also provide log management functions; (3) The data model subsystem described in this invention can provide environmental calculation and analysis model services, fully support RESTful service interfaces, so as to achieve efficient marine data analysis and service integration, provide external access capabilities, and ensure the system's compatibility, scalability and ease of use. The environmental calculation and analysis model service supports real-time query and statistical analysis of various marine data through RESTful service interfaces, and has high performance, high security and scalability, which can meet the needs of various marine data services and ensure accurate and efficient data transmission and processing. (4) The marine computing and analysis plugin set described in this invention can solve the pain points of traditional meteorological tools such as data silos, weak interaction and poor industry adaptability through precise element extraction, intelligent phenomenon recognition, scene visualization and cross-platform linkage closed loop. It can be applied to more than 10 fields such as government emergency response, energy management and traffic scheduling, and promote the qualitative change of marine data from visible to usable. Attached Figure Description

[0013] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a schematic diagram of the software functional composition of the multi-site marine observation data distributed integration management system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the software workflow of the multi-site marine observation data distributed integration management system according to an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the functional activities of the data aggregation subsystem as described in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the functional activities of the data management subsystem described in an embodiment of the present invention; Figure 5 This is a schematic diagram of the functional activities of the data model subsystem described in an embodiment of the present invention.

[0014] Explanation of reference numerals in the attached figures: 1. System software; 2. Data aggregation subsystem; 3. Data management subsystem; 4. Data modeling subsystem; 5. Marine computing and analysis plugin set. Detailed Implementation

[0015] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0016] In the description of this invention, it should be understood that the terms center, longitudinal, transverse, upper, lower, front, rear, left, right, vertical, horizontal, top, bottom, inner, and outer, indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms first, second, etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with first, second, etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, multiple means two or more.

[0017] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms installation, connection, and linking should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0018] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] like Figures 1 to 5 As shown, this embodiment provides a distributed integrated management system for multi-site marine observation data, including system software 1, which consists of a data aggregation subsystem 2, a data management subsystem 3, a data model subsystem 4, and a set of marine computing and analysis plugins 5. The data aggregation subsystem 2 includes a meteorological and oceanographic data resource library and a data acquisition module. Its main function is to acquire raw data from external systems and, through data cleaning, data quality control, standardization and other processing procedures, classify and store the external data in the meteorological and oceanographic data resource library to provide basic data support so that subsequent data models and data sharing services can be compatiblely called according to standard data formats. It should be noted that "multi-site" refers to the fact that the sources of marine observation data cover multiple observation nodes distributed in physical space, such as shore-based marine stations, offshore buoys, research vessels, sea surface base stations, and satellite remote sensing; "distributed" refers to the fact that the system adopts a distributed storage and distributed computing architecture to cope with massive, multi-source, and heterogeneous observation data, and supports distributed storage and multi-dimensional querying of environmental data resources.

[0020] In this embodiment, the meteorological and oceanographic data resource library covers eight categories of meteorological and hydrological environmental element data, specifically including: air temperature, relative humidity, air pressure, wind field, cloud cover, precipitation, snowfall, and fog level; and six categories of marine hydrological environmental element data, specifically including: sea surface temperature, sea salinity, density, ocean current, ocean waves, and sea state. Simultaneously, the meteorological and oceanographic data resource library provides a resource data access engine, supporting full lifecycle management functions for environmental data resources, including storage, deletion, updating, and query access. It also supports distributed storage and multi-dimensional query capabilities for environmental data. The data import module provides online real-time and offline batch processing capabilities for importing meteorological and hydrological data in common standard formats. Furthermore, this module allows users to process meteorological, hydrological, and marine hydrological environmental resource data. Specific processing operations include data standardization, spatial reference transformation, data cleaning, data aggregation, and consistency processing. Through these processing flows, external data is categorized and stored in a meteorological and marine data resource repository, providing basic data support so that subsequent data models and data sharing services can be compatible with and access the data in standard formats.

[0021] The data management subsystem 3 includes a data storage management module and a data sharing service module. Its main functions are to classify and manage the data types of meteorological and marine elements; maintain the relevant data resource catalog; extract data resource metadata and perform maintenance operations; provide comprehensive statistical data resources and data updates, storage, deletion, retrieval, query, import, and export operations; provide version management functions and resource display for meteorological and marine data; provide database monitoring, database backup, and database recovery functions; and provide log management functions. The data storage management module is responsible for data storage, backup, recovery, and monitoring, covering data classification, metadata extraction, and catalog maintenance to ensure data security and integrity. It supports dynamic updates and efficient retrieval of data resources, ensuring their accuracy and availability. Through backup mechanisms and real-time monitoring, the data storage management module effectively prevents data loss and corruption, improving system stability. Data resource maintenance, through refined classification and metadata management, enables rapid data location and accurate querying, improving data utilization efficiency and ensuring data timeliness and consistency. The data sharing service module is responsible for data sharing and publishing, supporting concurrent access by multiple users; it supports online publishing and subscription of data resources, enabling real-time data sharing and efficient circulation; it ensures that users can obtain meteorological and marine data in real time, while improving the transparency and convenience of data services; through the data sharing service, users can flexibly subscribe to the data they need, promoting the optimal allocation of information resources.

[0022] The data model subsystem 4 includes a marine hydrological element model library, a basic support service model library, and an environmental data calculation and analysis model service module. The marine hydrological element model library includes a marine element model library and a marine phenomenon model library. Its main function is to provide environmental calculation and analysis model services. It fully supports RESTful service interfaces to achieve efficient marine data analysis and service integration, provides external access capabilities, and ensures the system's compatibility, scalability, and ease of use. The environmental calculation and analysis model service supports real-time querying and statistical analysis of various marine data through RESTful service interfaces. It has high performance, high security, and scalability, and can meet the needs of various marine data services, ensuring accurate and efficient data transmission and processing. The marine hydrological element model library provides the ability to extract and analyze basic marine elements. Based on satellite remote sensing, buoy, and underwater sensor data, it can accurately extract seawater temperature, salinity, density, and ocean current direction. It also supports quantitative analysis of wave height, sea ice coverage, and tidal height, providing data support for marine engineering and climate research. Furthermore, it offers underwater acoustic dynamics model analysis capabilities, leveraging acoustic propagation physics mechanisms to extract features from surface and deep-sea acoustic channels. It quantifies sound propagation loss, environmental noise, and sound convergence zones, serving underwater communication optimization and sonar detection performance evaluation. Finally, it provides marine phenomenon identification and analysis capabilities, extracting vertical abrupt changes in salinity, temperature, density, and sound velocity by identifying key marine stratification and dynamic phenomena, revealing the water body's stratification structure. It also simulates storm surges, mesoscale eddies, ocean fronts, and internal waves, improving the accuracy of disaster early warning. The environmental data calculation and analysis model service module is used to provide RESTful service support for models in the marine hydrological element model library to external systems. Model extraction and model analysis results can be called through API service interfaces. The marine element model library focuses on core elements such as temperature, salinity, density, ocean current velocity, wave height, sea ice coverage, and tidal height. It strengthens multi-source data fusion and real-time decision support capabilities by constructing an observation-forecasting-application closed loop. In terms of data input and output, the model supports flexible access to multi-source heterogeneous data. Standardized interfaces and modular design enable unified data format conversion and dynamic adaptation, ensuring the real-time performance and reliability of data in complex marine environments. The core role of marine element extraction lies in the accurate characterization of the marine dynamic environment. For example, it optimizes navigation paths through ocean current and wave parameters, and supports oil exploration and aquaculture decisions using sea ice and tidal data. Its service capabilities cover early warning, deployment, and optimization, and it achieves deep integration of environmental forecasting scenarios by combining data assimilation technology. The marine phenomenon model library integrates the extraction and analysis capabilities of key marine phenomena elements such as salinity strata, temperature strata, density strata, storm surges, ocean fronts, internal ocean waves, and mesoscale eddies. It constructs a comprehensive computational framework covering multi-physics, multi-scale, and multi-modal data. This model supports the fusion of heterogeneous data from multiple sources, including buoy observations and numerical simulations. Relying on feature extraction technology, it achieves high-precision identification of ocean strata structures, storm surge prediction, internal wave location distribution, and the mining of mesoscale eddy location classification patterns. The model can provide dynamic simulation of marine environmental parameters, assisting in the identification of extreme marine environments and the planning of avoidance paths in ocean frontal zones, and optimizing underwater sonar route selection. In terms of model service capabilities, its common design features include a modular architecture and efficient computational optimization, constructing a scalable marine situational awareness service system that provides dynamic environmental assessment, interference analysis, and performance verification for application decision-making.

[0023] The Ocean Computing and Analysis Plugin Set 5 includes plugins for seawater temperature extraction, seawater salinity extraction, seawater density extraction, ocean current velocity / direction extraction, ocean wave height / direction extraction, sea ice coverage extraction, tidal height extraction, salinity stratification extraction and analysis, temperature stratification extraction, and density stratification extraction and analysis. Its main function is to solve the pain points of traditional meteorological tools such as data silos, weak interaction, and poor industry adaptability through precise element extraction, intelligent phenomenon recognition, scene visualization, and cross-platform linkage closed loop. It can be applied to more than 10 fields such as government emergency response, energy management, and traffic dispatch, reducing disaster losses by about 30% and promoting a qualitative change in ocean data from visible to usable. Ocean Computational Analysis Plugin Set 5 can present ocean features based on multi-source data such as buoys and the Copernicus dataset, using layered color filling and contour line annotation techniques. It generates ocean current profiles by cutting lines, uses blue-red gradient layers to represent the vertical gradient of seawater temperature, and overlays two-dimensional arrows to indicate the direction of flow; it plays a 72-hour animation of sea surface temperature (SST) changes, with black isotherms marking the movement trajectory of 30°C warm water zones.

[0024] The Ocean Computational Analysis Plugin Suite 5 is a highly integrated and modular toolkit for marine scientific research and applications. Its core function lies in efficiently and accurately extracting and calculating key physical parameters from raw, complex, and multidimensional marine environmental data (such as buoy data and numerical simulation outputs), thereby serving multiple fields such as subsequent marine environmental monitoring, forecasting and early warning, resource development, and scientific research. Through its tree-like functional structure, the entire plugin suite provides an integrated, automated solution for extracting key marine environmental parameters, ranging from basic temperature, salinity, and density measurements and ocean current and wave characterization to specialized sea ice and tide identification, and advanced vertical stratification analysis. Its core advantages lie in its modular design and clear functional division, allowing users to flexibly call upon the appropriate plugins according to research or operational needs, quickly and accurately obtaining the required standardized marine environmental element information from massive amounts of raw data. The design of this plugin set meets the urgent needs of researchers and business departments for efficient data processing and standardized information extraction, significantly improving the efficiency of marine environmental information processing, analysis and application. It provides solid technical support for a deeper understanding of marine processes, the formulation of scientific marine management strategies and the response to marine-related disasters, covering multi-scale needs from short-term meteorological and sea state forecasts to long-term climate research.

[0025] The system software 1 is configured with a user permission management module, which has five types of role permissions: general users, operation and maintenance management users, central business management users, node users, and system administrators. General users (those authorized network users who can query and browse the meteorological and oceanographic data resource database; they can use a browser to query and browse data information through the resource data management webpage) and operation and maintenance management users (primarily responsible for the daily maintenance of the system, handling abnormal situations during system operation through system logs and problem tracking functions, and completing the data transfer and processing from the central end to form serviceable information resources, which are then packaged and published as standard data services for distribution). It can be used by other systems. Simultaneously, it can maintain model libraries and model plugin sets according to user needs, central-end business management users (general users who can log in and access the central-end system, enjoying central-end business usage permissions, mainly responsible for controlling functions such as publishing topics, approving subscription applications, and importing data offline), node-end users (general users who can log in and access the node-end system, enjoying node-end business usage permissions, mainly responsible for subscribing to relevant topics, calling data interfaces, calling model APIs, and importing data through the central end), and system administrators (mainly responsible for maintaining system accounts, assigning menu permissions, and configuring node-end accounts and permissions according to deployment requirements).

[0026] The data processing flow of the system software 1 is configured as follows: raw data from external systems is accessed through the data entry module, converted into standard format data by the data processing tool, and stored in the meteorological and oceanographic data resource library; the data management subsystem 3 performs dynamic directory management and full-process metadata management based on the meteorological and oceanographic data resource library, and provides data subscription and interface access services to the outside world; the data model subsystem 4 provides calculation parameter support based on the standardized data in the meteorological and oceanographic data resource library, and provides services to the outside world by independently encapsulating the analysis model through the oceanographic calculation and analysis plugin set 5. The workflow of System Software 1 is as follows: Raw data from external systems is accessed via online real-time connection or offline batch processing; then, data processing tools such as data cleaning, data conversion, data aggregation, and data standardization modules are used to transform the raw data into standard format data, generate, extract, and store metadata information, and then classify and store it in the marine resource database for subsequent functional logic and model service calls; dynamic catalog management is implemented based on standardized marine hydrological environmental data; combined with extended metadata functions, full-process metadata management is completed; various element data in the meteorological and marine resource database are managed through functions such as environmental data storage, deletion, updating, querying, importing, exporting, and data statistics; simultaneously, data subscription and interface access services are provided externally based on the meteorological and marine resource database; based on the standardized data of the marine resource database, calculation parameter support is provided for the marine hydrological element model library, and user application data needs are met by providing services conforming to RESTful API specifications; and independent encapsulation of analysis models forms independent plugins to provide services externally.

[0027] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A distributed integrated management system for multi-site marine observation data, characterized by: The system software (1) includes a data aggregation subsystem (2), a data management subsystem (3), a data model subsystem (4), and a set of marine computing and analysis plugins (5). The data aggregation subsystem (2) includes a meteorological and oceanographic data resource library and a data acquisition module; the data acquisition module is used to acquire raw data from external systems, and to clean, quality control and standardize the raw data, and to classify and store the processed data in the meteorological and oceanographic data resource library. The data management subsystem (3) includes a data storage management module and a data sharing service module; The data storage management module is used for classifying and managing the data in the meteorological and oceanographic data resource database, extracting metadata, maintaining the catalog, and updating, storing, deleting, and retrieving the data; the data sharing service module is used to provide online data publishing and subscription services. The data model subsystem (4) includes a marine hydrological element model library, a basic support service model library, and an environmental data calculation and analysis model service module; the marine hydrological element model library includes a marine element model library and a marine phenomenon model library; The environmental data calculation and analysis model service module is used to provide calculation and analysis services for the models in the marine hydrological element model library to the outside world through the RESTful service interface of the API service interface; The Ocean Computational Analysis Plugin Set (5) contains multiple marine environmental element extraction and analysis plugins, which are used to extract elements, identify phenomena, and visualize marine observation data.

2. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The meteorological and oceanographic data resource library covers eight categories of meteorological and hydrological environmental element data and six categories of marine hydrological environmental element data; the meteorological and oceanographic data resource library also provides a resource data access engine to support distributed storage and multi-dimensional query of environmental data resources; The data acquisition module is configured to acquire meteorological and hydrological data and marine hydrological data in both online real-time and offline batch processing modes, and supports spatial reference transformation, data aggregation, and consistency processing of the data.

3. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The data storage management module is also equipped with database monitoring, database backup and database recovery functions, as well as log management functions; The data sharing service module supports concurrent access by multiple users and enables real-time sharing and circulation of data through data subscription and interface access services.

4. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The marine element model library focuses on elements such as temperature, salinity, density, ocean current velocity, wave height, sea ice coverage, and tidal height. It supports the access of multi-source heterogeneous data and achieves unified conversion and dynamic adaptation of data formats through standardized interfaces and modular design. The ocean phenomenon model library is used to integrate the extraction and analysis of salinity strata, temperature strata, density strata, storm surges, ocean fronts, ocean internal waves, and mesoscale eddies, and to construct a comprehensive computing framework covering multi-physics fields, multi-scale, and multi-modal data.

5. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The environmental data calculation and analysis model service module provides model extraction and model analysis result calling services to the outside world through the RESTful service interface of the API service interface, so as to support external systems to query and statistically analyze marine data in real time.

6. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The ocean computing and analysis plugin set includes: seawater temperature extraction plugin, seawater salinity extraction plugin, seawater density extraction plugin, ocean current velocity / direction extraction plugin, ocean wave height / direction extraction plugin, sea ice coverage extraction plugin, tidal height extraction plugin, salinity stratification extraction and analysis plugin, temperature stratification extraction plugin, and density stratification extraction and analysis plugin.

7. The multi-site marine observation data distributed integration management system according to claim 1, characterized in that: The system software (1) is configured with a user permission management module, which is configured with five types of role permissions: general user, operation and maintenance management user, central business management user, node user and system administrator. The data processing flow of the system software (1) is configured as follows: the raw data of the external system is accessed through the data entry module, converted into standard format data by the data processing tool and stored in the meteorological and marine data resource library; the data management subsystem (3) performs dynamic directory management and metadata full-process management based on the meteorological and marine data resource library, and provides data subscription and interface access services to the outside world. The data model subsystem (4) provides computational parameter support based on the standardized data in the meteorological and marine data resource library, and independently encapsulates the analysis model to provide services to the outside world through the marine computational analysis plugin set (5).

Images