Interaction data identification management system of intelligent calculation center

Abstract

The invention belongs to the technical field of intelligent calculation centers, and discloses an intelligent calculation center interaction data identification management system. Comprising a data acquisition and integration module, a multivariate data acquisition sub-module, a data format conversion sub-module, a data intelligent identification module, a feature extraction and selection sub-module, a mode identification sub-module, a data security protection module and an encryption transmission sub-module. The system comprises an access authority management sub-module, a data backup and recovery sub-module, a security audit sub-module, a data interaction optimization module, a cache optimization sub-module, a transmission optimization sub-module, a data visualization and analysis module, a visualization display sub-module and a data analysis sub-module. The system is suitable for a complex intelligent computing center environment, integrates all links of data processing into one system, avoids the problems of compatibility and management caused by using a plurality of dispersed systems, and is beneficial to actual application and operation.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent computing centers, and in particular to an intelligent computing center interactive data identification and management system. Background Art

[0002] With the rapid development of information technology, the amount of data has shown an explosive growth. In the environment of an intelligent computing center (intelligent computing center), a large amount of diverse data is generated every day, and these data come from a wide range of sources, including but not limited to Internet of Things devices, enterprise business systems, scientific research experimental data, etc.

[0003] In the actual application process of existing devices, data collection tools on the market are often designed only for specific types of data sources, and the data formats collected by different data collection tools vary greatly. In the face of complex and diverse data, existing data identification technologies have limitations, which is not conducive to actual application and operation. Summary of the Invention

[0004] One of the purposes of the present invention is to provide an intelligent computing center interactive data identification and management system.

[0005] To achieve the above object, the technical solution adopted by the present invention is: an intelligent computing center interactive data identification and management system, including an interactive data identification and management system: the interactive data identification and management system includes a data collection and integration module, a multi-source data collection sub-module, a data format conversion sub-module, a data intelligent identification module, a feature extraction and selection sub-module, a pattern recognition sub-module, a data security protection module, an encryption transmission sub-module, an access right management sub-module, a data backup and recovery sub-module, a security audit sub-module, a data interaction optimization module, a cache optimization sub-module, a transmission optimization sub-module, a data visualization and analysis module, a visualization display sub-module, and a data analysis sub-module;

[0006] The end of the interactive data identification and management system is connected to the data collection and integration module, the end of the data collection and integration module is connected to the data intelligent identification module, the end of the data intelligent identification module is connected to a data security protection module, the end of the data security protection module is connected to the data interaction optimization module, the data interaction optimization module is connected to the data visualization and analysis module. The intelligent computing center interactive data identification and management system is applicable to a complex intelligent computing center environment. It integrates all aspects of data processing in one system, avoiding the compatibility and management problems brought by using multiple scattered systems. Through systematic design, it ensures that data can be effectively processed and managed throughout its life cycle, improving the accuracy, reliability, and overall efficiency of data processing, and helping to extract valuable information from a large amount of data.

[0007] Both ends of the data acquisition and integration module are connected to the multi-source data acquisition sub-module and the data format conversion sub-module. Both ends of the data intelligent recognition module are connected to the pattern recognition sub-module and the feature extraction and selection sub-module. The data acquisition and integration module can integrate data from different channels and in different formats, breaking the data silo phenomenon. This enables the system to comprehensively utilize multi-source data for analysis and decision-making, and to extract more comprehensive and valuable information. The unified data format provides a standardized input for the subsequent data processing module, reducing the processing complexity and error rate caused by data format differences. Through feature extraction and selection, noise and redundant information in the data can be removed, focusing on the most valuable parts for data processing and analysis. This not only improves the efficiency of data processing, reduces the consumption of computing resources, but also improves the accuracy of subsequent data processing.

[0008] The data security protection module is connected to the encrypted transmission sub-module, the data backup and recovery sub-module, the access right management sub-module, and the security audit sub-module. Encrypted transmission prevents data leakage and tampering during transmission, ensuring the confidentiality and integrity of data. The data backup and recovery mechanism ensures the availability of data. Even when data is lost due to accidental events (such as hardware failures, human errors, natural disasters, etc.), the data can be quickly restored, reducing the business interruption time. The combination of access right management and security audit functions constructs a perfect data security protection system. It can prevent unauthorized access, protect sensitive data, and at the same time, through the audit function, timely detect and respond to internal and external security threats to ensure the security of the data assets in the intelligent computing center.

[0009] The data interaction optimization module is connected to the cache optimization sub-module and the transmission optimization sub-module. The data visualization and analysis module is connected to the visualization display sub-module and the data analysis sub-module. The data interaction optimization module improves the interaction efficiency of data within the system, reducing the delay of data processing. Cache optimization reduces the data acquisition time, enabling data to reach the processing module faster, improving the overall response speed of the system, allowing users to intuitively understand the data situation and facilitating decision-making. Visualization display converts abstract data into intuitive graphics, enabling users to quickly grasp the key information and trends of the data, which helps to make effective decisions in a complex data environment.

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0011] (1) The present invention is applicable to a complex intelligent computing center environment through an intelligent computing center interactive data recognition and management system. It integrates all aspects of data processing within a single system, avoiding the compatibility and management problems brought about by using multiple decentralized systems. Through systematic design, it ensures that data can be effectively processed and managed throughout its entire life cycle, improving the accuracy, reliability, and overall efficiency of data processing, and helping to extract valuable information from massive amounts of data.

[0012] (2) In the present invention, the data collection and integration module can integrate data from different channels and in different formats, breaking the data silo phenomenon. This enables the system to comprehensively utilize multi-source data for analysis and decision-making, and extract more comprehensive and valuable information. The unified data format provides a standardized input for the subsequent data processing module, reducing the processing complexity and error rate caused by data format differences. Through feature extraction and selection, it can remove noise and redundant information in the data, focusing on the most valuable parts for data processing and analysis. This not only improves the efficiency of data processing, reduces the consumption of computing resources, but also enhances the accuracy of subsequent data processing. Encrypted transmission prevents data leakage and tampering during transmission, ensuring the confidentiality and integrity of data. The data backup and recovery mechanism ensures the availability of data. Even when data is lost due to unexpected events (such as hardware failures, human errors, natural disasters, etc.), the data can be quickly restored, reducing the business interruption time. The combination of access rights management and security audit functions constructs a complete data security protection system. It can prevent unauthorized access, protect sensitive data, and at the same time promptly detect and respond to internal and external security threats through the audit function, ensuring the security of the data assets in the intelligent computing center.

[0013] (3) The present invention improves the interaction efficiency of data within the system through the data interaction optimization module, reducing the latency of data processing. Cache optimization reduces the data acquisition time, enabling data to reach the processing module faster, improving the overall response speed of the system, and allowing users to intuitively understand the data situation for easier decision-making. Visualization displays convert abstract data into intuitive graphics, enabling users to quickly grasp the key information and trends of the data, which helps in making effective decisions in a complex data environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] Next, in combination with the specific embodiments, the present invention will be further described. It should be noted that, on the premise of no conflict, the following-described embodiments or technical features can be arbitrarily combined to form new embodiments.

[0016] In the description of the present invention, it should be noted that for orientation terms, such as the terms "center", "horizontal", "vertical", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc., indicating the orientation and positional relationship are based on the orientation or positional relationship shown in the drawings. This is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and should not be construed as limiting the specific protection scope of the present invention.

[0017] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0018] One of the preferred embodiments of the present invention is, as Figure 1 shown, an intelligent computing center interactive data identification and management system, including an interactive data identification and management system: The interactive data identification and management system includes a data collection and integration module, a multi-source data collection sub-module, a data format conversion sub-module, a data intelligent identification module, a feature extraction and selection sub-module, a pattern recognition sub-module, a data security protection module, an encryption transmission sub-module, an access permission management sub-module, a data backup and recovery sub-module, a security audit sub-module, a data interaction optimization module, a cache optimization sub-module, a transmission optimization sub-module, a data visualization and analysis module, a visualization display sub-module, and a data analysis sub-module;

[0019] The end of the interactive data identification and management system is connected to the data collection and integration module, the end of the data collection and integration module is connected to the data intelligent identification module, the end of the data intelligent identification module is connected to the data security protection module, the end of the data security protection module is connected to the data interaction optimization module, the data interaction optimization module is connected to the data visualization and analysis module. The interactive data identification and management system, as the core architecture, constructs a data processing pipeline from one endpoint to another endpoint. Starting from the data collection and integration module, this module serves as the data entry point, receives and preprocesses multi-source data from the outside. The data flows through the data intelligent identification module, the data security protection module, and the data interaction optimization module in sequence, and finally reaches the data visualization and analysis module for presentation and mining. Through the close connection between each module, the output of the previous module serves as the input of the next module, forming an ordered data stream;

[0020] Both ends of the data acquisition and integration module are connected to the multi-source data acquisition sub-module and the data format conversion sub-module. Both ends of the data intelligent recognition module are connected to the pattern recognition sub-module and the feature extraction and selection sub-module. The multi-source data acquisition sub-module establishes connections with external data sources through various interfaces and protocols. Subsequently, the data format conversion sub-module processes the acquired multi-source data. It uses preset rules and algorithms to convert data in different formats into a unified data structure within the system.

[0021] The data security protection module is connected to the encrypted transmission sub-module, the data backup and recovery sub-module, the access permission management sub-module, and the security audit sub-module. The encrypted transmission sub-module uses advanced encryption algorithms to encrypt data during the data transmission process. At the sending end, the data is encrypted into ciphertext form, and only the receiving end with the corresponding decryption key can restore it to plaintext.

[0022] The data interaction optimization module is connected to the cache optimization sub-module and the transmission optimization sub-module. The data visualization and analysis module is connected to the visualization display sub-module and the data analysis sub-module. The cache optimization sub-module manages data caching by analyzing the access patterns and frequencies of data and adopting appropriate caching strategies. The visualization display sub-module converts the processed data into intuitive visual forms such as graphs, charts, and maps.

[0023] Working principle:

[0024] When in use, the interactive data recognition and management system, as the core architecture, constructs a data processing pipeline from one endpoint to another. Starting from the data acquisition and integration module, which serves as the data entry point and receives and preprocesses multi-source data from the outside. The data flows through the data intelligent recognition module, the data security protection module, and the data interaction optimization module in sequence, and finally reaches the data visualization and analysis module for presentation and mining. Through the close connection between each module, the output of the previous module serves as the input of the next module, forming an orderly data stream. The multi-source data acquisition sub-module establishes connections with external data sources through various interfaces and protocols. Subsequently, the data format conversion sub-module processes the acquired multi-source data. It uses preset rules and algorithms to convert data in different formats into a unified data structure within the system;

[0025] The encrypted transmission sub-module uses advanced encryption algorithms to encrypt data during the data transmission process. At the sending end, the data is encrypted into ciphertext form, and only the receiving end with the corresponding decryption key can restore it to plaintext. The cache optimization sub-module manages data caching by analyzing the access patterns and frequencies of data and adopting appropriate caching strategies. The visualization display sub-module converts the processed data into intuitive visual forms such as graphs, charts, and maps.

[0026] The foregoing has described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent computing center interactive data identification management system, characterized in that: It includes an interactive data identification management system: the interactive data identification management system includes a data collection and integration module, a multivariate data collection submodule, a data format conversion submodule, a data intelligent identification module, a feature extraction and selection submodule, a pattern recognition submodule, a data security protection module, an encrypted transmission submodule, an access rights management submodule, a data backup and recovery submodule, a security audit submodule, a data interaction optimization module, a cache optimization submodule, a transmission optimization submodule, a data visualization and analysis module, a visualization display submodule and a data analysis submodule; The tail end of the interactive data identification management system is connected to the data acquisition and integration module, the tail end of the data acquisition and integration module is connected to the data intelligent identification module, the tail end of the data intelligent identification module is connected to the data security protection module, the tail end of the data security protection module is connected to the data interactive optimization module, and the data interactive optimization module is connected to the data visualization and analysis module.

2. The intelligent computing center interactive data identification and management system according to claim 1, characterized in that: Both ends of the data acquisition and integration module are connected to the multivariate data acquisition submodule and the data format conversion submodule, and both ends of the data intelligent recognition module are connected to the pattern recognition submodule and the feature extraction and selection submodule.

3. The intelligent computing center interactive data identification and management system according to claim 1, characterized in that: The data security protection modules are all connected to the encryption transmission submodule, the data backup and recovery submodule, the access authority management submodule and the security audit submodule.

4. The intelligent computing center interactive data identification and management system according to claim 1, characterized in that: The data interaction optimization modules are all connected to the cache optimization submodule and the transmission optimization submodule, and the data visualization and analysis modules are all connected to the visualization display submodule and the data analysis submodule.

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