CN113282937A - Self-adaptive comprehensive data storage platform for salt lake science and technology industry - Google Patents
Self-adaptive comprehensive data storage platform for salt lake science and technology industry Download PDFInfo
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- CN113282937A CN113282937A CN202110570735.8A CN202110570735A CN113282937A CN 113282937 A CN113282937 A CN 113282937A CN 202110570735 A CN202110570735 A CN 202110570735A CN 113282937 A CN113282937 A CN 113282937A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
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- H—ELECTRICITY
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Abstract
The invention discloses a self-adaptive comprehensive data storage platform for the science and technology industry of salt lakes, and particularly relates to the field of electronic information. Compared with the traditional data storage platform, the data storage platform has the advantages that through the design, certain limitations of the data storage platform are made up except for the situation that the data storage platform is high in economy, effectiveness and reliability, safety performance is improved, and the functionality of the storage platform is improved.
Description
Technical Field
The invention relates to the field of electronic information, in particular to a self-adaptive comprehensive data storage platform for the salt lake science and technology industry.
Background
Generally, the high technology is a leading-edge scientific technology which is talent-intensive, knowledge-intensive, technology-intensive, capital-intensive, risk-intensive, information-intensive, industry-intensive, competitive and permeable, and has a great influence on the development and progress of the human society; cloud storage systems typically keep copies of the same file data on multiple nodes to ensure the reliability of the data. The cloud storage system integrates a large number of storage nodes, and due to the fact that the geographic positions and the management strategies of the storage nodes are different, the credibility of the storage nodes is greatly different. Therefore, in order to ensure the security and the high efficiency of data access, the data storage strategy of the cloud storage system needs to consider the node reliability, measure the reliability of each storage node by using the node reliability, and have good data reliability while ensuring low data access time;
the traditional science and technology industry comprehensive data storage platform has the following defects: at present, although many scientific and technological industries use the existing comprehensive data storage platform to analyze and design mass data, and a file system has strong storage performance, so that the economic performance, the effectiveness and the reliability are good, in the using process, the system has certain limitations and the safety performance is not high enough;
therefore, based on the problems, the adaptive comprehensive data storage platform for the salt lake science and technology industry is designed to solve the problems.
It is a popular understanding that high technology must be industrialized to produce industrial-scale benefits. And the high technology has no national boundary. A global high-tech industry is required to jointly cope with human common fate problems.
The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In order to overcome the above defects in the prior art, an embodiment of the present invention provides an adaptive integrated data storage platform for salt lake science and technology industry, and the technical problem to be solved by the present invention is: at present, although many scientific and technological industries use the existing comprehensive data storage platform to analyze and design mass data, and a file system has strong storage performance, so that the economic performance, the effectiveness and the reliability are all well represented, in the using process, the system has certain limitations and the safety performance is not high enough.
In order to achieve the purpose, the invention provides the following technical scheme: an adaptive comprehensive data storage platform for salt lake science and technology industry.
The system comprises an access platform and a big data system platform, wherein the access platform is in network connection with the big data system platform through an IP/G communication network, the big data system platform comprises a data service system, a data analysis system, a data risk management system, a data storage system and a control system, the data service system, the data analysis system, the data risk management system and the data storage system are all electrically connected with the control system, the control system comprises a CPU (central processing unit), so that the data analysis system comprises a data analysis module, a data comparison module and a data query module, the data analysis module, the data comparison module and the data query module are all electrically connected with the CPU, the data risk management system comprises an authentication server, a data interception system and a data firewall, and the data firewall comprises a primary risk data firewall, a secondary risk data firewall and a control system, A second-level risk data firewall and a third-level risk data firewall.
In a preferred embodiment, the data analysis module comprises a multidimensional analysis module, a statistical analysis module, a regression analysis module, an association analysis module and a prediction analysis module, and the multidimensional analysis module, the statistical analysis module, the regression analysis module, the association analysis module and the prediction analysis module are all electrically connected with the CPU processor.
In a preferred embodiment, the data storage system comprises a data storage module, wherein the data storage module is electrically connected with the CPU processor, and the data storage module is divided into an associated data storage module and a prediction data storage module.
In a preferred embodiment, the data service system comprises a data receiving module, a data sending module, a data classifying module and a data displaying module, and the data receiving module, the data sending module, the data classifying module and the data displaying module are all electrically connected with the CPU processor.
In a preferred embodiment, the data analysis system further comprises a data calculation module electrically connected to the CPU processor, and the data calculation module comprises an associated data calculation module, a predicted data calculation module, a multidimensional data calculation module, and a relational expression calculation module.
In a preferred embodiment, the data classification module includes several levels of data modules, namely a primary data module and a secondary data module.
In a preferred embodiment, the control system further comprises a power module, with the CPU processor being electrically connected to the power module.
In a preferred embodiment, the access platform includes a PC end and a mobile phone end.
The invention has the technical effects and advantages that:
the invention has the advantages that the multi-dimensional analysis module, the statistical analysis module, the regression analysis module, the correlation analysis module, the prediction analysis module and other data analysis modules are arranged, so that different types of data can be analyzed in all directions, the function is stronger, if data information is abnormal, a data interception system and three levels of data firewalls are used for intercepting, thereby preventing malicious invasion of viruses and other data, and the safety is stronger, and the data classification module divides the data into a plurality of levels and stores the data in the data storage module;
in addition, the data calculation module is arranged and is divided into a correlation data calculation module, a prediction data calculation module, a multi-dimensional data calculation module and a relational expression calculation module, so that different kinds of information data can be calculated, and the application range is wider;
compared with the traditional data storage platform, the data storage platform has the advantages that through the design, certain limitations of the data storage platform are made up except for the situation that the data storage platform is high in economy, effectiveness and reliability, safety performance is improved, and functionality of the data storage platform is improved.
Drawings
Fig. 1 is an overall schematic block diagram of the present invention.
FIG. 2 is a functional block diagram of a data storage system according to the present invention.
FIG. 3 is a schematic block diagram of a control system and a data service system according to the present invention.
FIG. 4 is a schematic block diagram of a data risk management system of the present invention.
FIG. 5 is a schematic block diagram of a data analysis system of the present invention.
The reference signs are: 1. accessing a platform; 2. a big data system platform; 21. a data storage system; 211. a data storage module; 2111. an associated data storage module; 2112. a predictive data storage module; 22. a control system; 221. a CPU processor; 222. a power supply module; 23. a data service system; 231. a data receiving module; 232. a data transmission module; 233. a data classification module; 234. a data display module; 24. a data risk management system; 241. an authentication server; 242. a data interception system; 243. a data firewall; 2431. a first-level risk data firewall; 2432. a second level risk data firewall; 2433. a third-level risk data firewall; 25. a data analysis system; 251. a data analysis module; 2511. a multi-dimensional analysis module; 2512. a statistical analysis module; 2513. a regression analysis module; 2514. a correlation analysis module; 2515. a predictive analysis module; 252. a data comparison module; 253. a data query module; 254. a data calculation module; 2541. a correlation data calculation module; 2542. a predictive data calculation module; 2543. a multidimensional data calculation module; 2544. and a relational expression calculation module.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more example embodiments. In the following description, numerous specific details are provided to give a thorough understanding of example embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, steps, and so forth. In other instances, well-known structures, methods, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
As shown in fig. 1 to 5, the present invention provides a self-adaptive integrated data storage platform for the salt lake science and technology industry, and the implementation manner specifically is: the system comprises an access platform 1 and a big data system platform 2, wherein the access platform 1 is connected with the big data system platform 2 through an IP/4G communication network, the big data system platform 2 comprises a data service system 23, a data analysis system 25, a data risk management system 24, a data storage system 21 and a control system 22, the data service system 23, the data analysis system 25, the data risk management system 24 and the data storage system 21 are all electrically connected with the control system 22, the control system 22 comprises a CPU 221, so the data analysis system 25 comprises a data analysis module 251, a data comparison module 252 and a data query module 253, the data analysis module 251, the data comparison module 252 and the data query module 253 are all electrically connected with the CPU 221, the data risk management system 24 comprises an authentication server 241, a data interception system 242 and a data firewall 243, while data firewalls 243 include primary risk data firewall 2431, secondary risk data firewall 2432, and tertiary risk data firewall 2433.
In the present invention, the data analysis module 251 includes a multidimensional analysis module 2511, a statistical analysis module 2512, a regression analysis module 2513, an association analysis module 2514, and a prediction analysis module 2515, and the multidimensional analysis module 2511, the statistical analysis module 2512, the regression analysis module 2513, the association analysis module 2514, and the prediction analysis module 2515 are all electrically connected to the CPU 221, so that different types of data can be analyzed in an all-around manner, and the function is enhanced.
According to the invention, the data storage system 21 comprises the data storage module 211, the data storage module 211 is electrically connected with the CPU 221, and meanwhile, the data storage module 211 is divided into the associated data storage module 2111 and the predicted data storage module 2112, so that data can be classified and stored, and the data can be searched more simply and at any time.
In the present invention, the data service system 23 includes a data receiving module 231, a data sending module 232, a data classifying module 233, and a data displaying module 234, and the data receiving module 231, the data sending module 232, the data classifying module 233, and the data displaying module 234 are all electrically connected to the CPU 221.
In the present invention, the data analysis system 25 further includes a data calculation module 254, the data calculation module 254 is electrically connected to the CPU processor 221, and the data calculation module 254 includes a correlation data calculation module 2541, a prediction data calculation module 2542, a multidimensional data calculation module 2543, and a relational expression calculation module 2544, so that different types of information data can be calculated, and the application range is wider.
In the present invention, the data classification module 233 includes a plurality of levels of data modules, which are a primary data module and a secondary data module, respectively.
In the present invention, the control system 22 further includes a power module 222, and the CPU processor 221 is electrically connected to the power module 222.
The access platform 1 comprises a PC end and a mobile phone end.
The working principle of the invention is as follows: when the system is used, the PC end or the mobile phone end is used for realizing network connection with the big data system platform 2 by using IP/4G communication, after the connection is finished, authority authentication is carried out through the authentication server 241, data transmission and storage can be carried out after the authentication is finished, data can be transmitted through the data receiving module 231, and data analysis is carried out through the data analysis module 251, in the process, due to the fact that the multidimensional analysis module 2511, the statistical analysis module 2512, the regression analysis module 2513, the association analysis module 2514, the prediction analysis module 2515 and other data analysis modules 251 are arranged, different types of data can be analyzed in all directions, the function is stronger, if data information is abnormal, the data interception system 242, the first-level risk data firewall 2431, the second-level risk data firewall 2432 and the third-level data firewall 2433 carry out high-efficiency interception on three levels of data firewalls 243, therefore, malicious intrusion of viruses and other data can be prevented, the safety of data storage is ensured, and the information data is subjected to a plurality of grades by the data classification module 233 and is respectively stored in the data storage module 211;
in addition, the data calculation module 254 is arranged, and the data calculation module 254 is divided into a correlation data calculation module 2541, a prediction data calculation module 2542, a multidimensional data calculation module 2543 and a relational expression calculation module 2544, so that different types of information data can be calculated, and the application range is wider;
compared with the traditional data storage platform, the data storage platform has the advantages that through the design, certain limitations of the data storage platform are made up except for the situation that the data storage platform is high in economy, effectiveness and reliability, safety performance is improved, and functionality of the data storage platform is improved.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (8)
1. The utility model provides a data storage platform is synthesized to self-adaptation salt lake science and technology industry, includes access platform (1) and big data system platform (2), its characterized in that: the access platform (1) is in network connection with a big data system platform (2) through an IP/4G communication network, the big data system platform (2) comprises a data service system (23), a data analysis system (25), a data risk management system (24), a data storage system (21) and a control system (22), the data service system (23), the data analysis system (25), the data risk management system (24) and the data storage system (21) are all electrically connected with the control system (22), the control system (22) comprises a CPU (central processing unit) processor (221), so that the data analysis system (25) comprises a data analysis module (251), a data comparison module (252) and a data query module (253), and meanwhile, the data analysis module (251), the data comparison module (252) and the data query module (253) are all electrically connected with the CPU processor (221), the data risk management system (24) includes an authentication server (241), a data interception system (242), and a data firewall (243), while the data firewall (243) includes a primary risk data firewall (2431), a secondary risk data firewall (2432), and a tertiary risk data firewall (2433).
2. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the data analysis module (251) comprises a multidimensional analysis module (2511), a statistical analysis module (2512), a regression analysis module (2513), an association analysis module (2514) and a prediction analysis module (2515), and the multidimensional analysis module (2511), the statistical analysis module (2512), the regression analysis module (2513), the association analysis module (2514) and the prediction analysis module (2515) are all electrically connected with the CPU (221).
3. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the data storage system (21) comprises a data storage module (211), wherein the data storage module (211) is electrically connected with a CPU (221), and the data storage module (211) is divided into an associated data storage module (2111) and a predicted data storage module (2112).
4. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the data service system (23) comprises a data receiving module (231), a data sending module (232), a data classifying module (233) and a data displaying module (234), and the data receiving module (231), the data sending module (232), the data classifying module (233) and the data displaying module (234) are all electrically connected with the CPU (221).
5. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the data analysis system (25) further comprises a data calculation module (254), the data calculation module (254) is electrically connected with the CPU (221), and the data calculation module (254) comprises an associated data calculation module (2541), a prediction data calculation module (2542), a multidimensional data calculation module (2543) and a relational expression calculation module (2544).
6. The adaptive integrated data storage platform for salt lake science and technology industry of claim 4, wherein: the data classification module (233) comprises a plurality of levels of data modules, and is a primary data module and a secondary data module.
7. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the control system (22) further comprises a power supply module (222), and the CPU processor (221) is electrically connected with the power supply module (222).
8. The adaptive integrated data storage platform for salt lake science and technology industry of claim 1, wherein: the access platform (1) comprises a PC end and a mobile phone end.
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Application publication date: 20210820 |