Navigation intelligent data management and analysis system
By associating multiple sensor data to heterogeneous databases and using special algorithm libraries for analysis, combining safety and fault detection mechanisms, a flexible ship intelligent data management system is built, solving the problems of existing system functions solidification and data dispersion, and improving the problem of existing system functions and improving Data processing efficiency and decision-making support capabilities are provided to ensure navigation safety.
Patent Information
- Application Number
- CN202411159241.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-22
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing intelligent monitoring system for ships has been solidified, making it difficult to flexibly respond to complex meteorological changes, and the dispersed data storage has affected the accuracy of decision-making, which cannot effectively ensure the navigation safety of scientific research ships in the extreme areas.
By relating the monitoring data of multiple sensor devices in a heterogeneous database, using a dedicated algorithm library for data analysis and processing, and providing real-time sharing and interaction functions through the navigation big data platform, combining security mechanisms, fault detection, backup and recovery, Mechanisms such as performance monitoring and logging to build a flexible data management and analysis system.
It significantly improves data processing efficiency and decision-making support capabilities, ensures data security and system reliability, ensures the security of critical data and efficient system operation, and provides detailed troubleshooting and security management support.
Smart Images

Figure CN119150316A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the fields of communication and computers, and in particular to a navigation intelligent data management and analysis system. Background Art
[0002] Safety is always the most important consideration in the design, construction and operation of ships. Especially in polar regions, where meteorological and hydrological conditions are very different from those in conventional waterways, environmental factors including typhoons, waves and currents are more complex, which increases the safety risks and uncertainties faced by scientific research vessels during navigation. In order to reduce these risks and improve the navigation safety of ships, the application of intelligent ship monitoring systems is particularly important.
[0003] Nevertheless, the existing intelligent ship monitoring system has some limitations. The application service functions within the system are usually fixed, and each service has its own exclusive database, which requires professionals to maintain and manage the data. This fixed function design makes it difficult for operators to respond flexibly when facing changing weather conditions, and due to the scattered data storage, it is difficult to achieve effective association, which further affects the accuracy of decision-making.
[0004] Therefore, polar navigation urgently needs an intelligent ship monitoring solution that can flexibly adapt to complex meteorological changes and make accurate judgments. Such a system will be able to better ensure the navigation safety of polar research vessels and reduce the occurrence of navigation accidents. Summary of the invention
[0005] In order to overcome the problems in the prior art, the present invention provides a navigation intelligent data management and analysis system, which ensures that measures can be taken quickly to protect passenger safety when thermal runaway occurs in the battery through advanced monitoring and response mechanisms.
[0006] To achieve the above object, the present invention adopts the following technical solutions:
[0007] A navigation intelligent data management and analysis system, the system associates and stores various monitoring data obtained by various sensor devices in the same heterogeneous database; retrieves corresponding data from the heterogeneous database through corresponding application services, and loads the required visualization algorithm modules from a dedicated algorithm library for data analysis and processing; and shares the monitoring data, the visualization algorithm modules, and the analysis and processing results of the data through the big data website provided by the navigation big data platform.
[0008] Preferably, the loading of the required visualization algorithm module from the dedicated algorithm library comprises: searching the required visualization algorithm module in the dedicated algorithm library; and loading the required visualization algorithm module into the algorithm area of the application service by dragging and dropping.
[0009] Preferably, the heterogeneous database contains metadata related to various sensor devices, which is used to describe the format, type and source information of the monitoring data, so that the application service can accurately retrieve the required data.
[0010] Preferably, the big data website provides a user interface, allowing users to view real-time monitoring data, visualization algorithm modules, and results of data analysis and processing, and to perform interactive operations.
[0011] Preferably, the system also includes security mechanisms to ensure that only authorized users can access sensitive data and functions while protecting the integrity and confidentiality of the data.
[0012] Preferably, the system also includes fault detection and diagnosis functions, which can automatically detect potential problems and generate reports so that timely measures can be taken to resolve them.
[0013] Preferably, the system also includes a backup and recovery mechanism to regularly back up key data and enable rapid recovery in the event of data loss or damage.
[0014] Preferably, the system also includes performance monitoring and optimization functions to monitor the performance indicators of the system in real time and allocate and adjust resources as needed to ensure efficient operation of the system.
[0015] Preferably, the system also includes logging and auditing functions to record system operations and events for troubleshooting and security auditing.
[0016] Compared with the prior art, the present invention has the following beneficial effects:
[0017] The present invention significantly improves data processing efficiency and decision support capabilities by integrating multi-source monitoring data into heterogeneous databases, providing rich visualization algorithm modules, and real-time sharing and interaction functions. Its built-in security mechanism ensures the authorization and security of data access, and the fault detection and diagnosis function enhances the reliability of the system. In addition, the present invention also has an automatic backup and rapid recovery mechanism to ensure the security of key data, while maintaining efficient operation through performance monitoring and optimization. Detailed logging and audit tracking provide strong support for system maintenance and security management. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION
[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.
[0020] like Figure 1 As shown, a navigation intelligent data management and analysis system is provided, wherein the system associates and stores various monitoring data obtained by various sensor devices in the same heterogeneous database; these sensor devices include the navigation system of the ship, meteorological equipment, marine environment monitoring equipment, etc., and the data types generated by them include location coordinates, temperature, humidity, wind speed, wave height, etc. The corresponding application service retrieves the corresponding data from the heterogeneous database, and loads the required visualization algorithm module from the dedicated algorithm library for data analysis and processing, and shares the monitoring data, the visualization algorithm module, and the analysis and processing results of the data through the big data website provided by the navigation big data platform. The loading of the required visualization algorithm module from the dedicated algorithm library includes: searching for the required visualization algorithm module in the dedicated algorithm library; and loading the required visualization algorithm module into the algorithm area of the application service by dragging and dropping. The heterogeneous database contains metadata related to various sensor devices, which is used to describe the format, type and source information of the monitoring data, so that the application service can accurately retrieve the required data. The big data website provides a user interface, enabling users to view real-time monitoring data, visualization algorithm modules, and the results of data analysis and processing, and to perform interactive operations.
[0021] The system also includes security mechanisms, fault detection and diagnosis functions, backup and recovery mechanisms, performance monitoring and optimization functions, logging and auditing functions. The security mechanisms ensure that only authorized users can access sensitive data and functions while protecting the integrity and confidentiality of the data. The fault detection and diagnosis functions can automatically detect potential problems and generate reports so that timely measures can be taken to resolve them. The backup and recovery mechanisms regularly back up key data and can quickly restore data in the event of data loss or corruption. The performance monitoring and optimization functions monitor the performance indicators of the system in real time and allocate and adjust resources as needed to ensure the efficient operation of the system. The logging and auditing functions record system operations and events for troubleshooting and security audits.
[0022] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any brief introduction and modification of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention are made.
Claims
1. Navigation intelligent data management and analysis system, characterized by: The system associates and stores various monitoring data obtained by various sensor devices in the same heterogeneous database; retrieves corresponding data from the heterogeneous database through corresponding application services, and loads required visualization algorithm modules from a dedicated algorithm library for data analysis and processing; and shares the monitoring data, the visualization algorithm modules, and the analysis and processing results of the data through the big data website provided by the navigation big data platform.
2. The navigation intelligent data management and analysis system according to claim 1, characterized in that: The loading of the required visualization algorithm module from the dedicated algorithm library includes: searching the required visualization algorithm module in the dedicated algorithm library; and loading the required visualization algorithm module into the algorithm area of the application service by dragging and dropping.
3. The navigation intelligent data management and analysis system according to claim 1, characterized in that: The heterogeneous database contains metadata related to various sensor devices, which is used to describe the format, type and source information of the monitoring data so that the application service can accurately retrieve the required data.
4. The navigation intelligent data management and analysis system according to claim 1, characterized in that: The big data website provides a user interface that enables users to view real-time monitoring data, visualization algorithm modules, and results of data analysis and processing, and to perform interactive operations.
5. The navigation intelligent data management and analysis system according to claim 1, characterized in that: The system also includes security mechanisms to ensure that only authorized users can access sensitive data and functions while protecting the integrity and confidentiality of the data.
6. The navigation intelligent data management and analysis system according to claim 1 or 5, characterized in that: The system also includes fault detection and diagnostic capabilities that automatically detect potential problems and generate reports so that timely measures can be taken to resolve them.
7. The navigation intelligent data management and analysis system according to claim 6, characterized in that: The system also includes a backup and recovery mechanism to regularly back up key data and quickly restore data in the event of data loss or damage.
8. The navigation intelligent data management and analysis system according to claim 7, characterized in that: The system also includes performance monitoring and optimization functions, which monitor the performance indicators of the system in real time and allocate and adjust resources as needed to ensure efficient operation of the system.
9. The navigation intelligent data management and analysis system according to claim 8, characterized in that: The system also includes logging and auditing functions to record system operations and events for troubleshooting and security auditing.
