CN112487045A - Management platform based on big data - Google Patents
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Abstract
The invention discloses a management platform based on big data, which comprises: the data acquisition module is used for acquiring various different types of data information according to a time sequence; the application system supporting module is used for aggregating the dispersed and heterogeneous different types of data information and realizing the seamless access and integration of the different types of data information across a database and a system platform through a uniform service interface; the data management module is used for carrying out consistency definition, management and classification on the subjects, dimensions and indexes of various types of data information according to a data map, a data dictionary and data blooding margins; and the operation and maintenance management module is used for monitoring and optimizing the running states of the data acquisition module, the application system support module and the data management module. The invention can realize interconnection and intercommunication and automatic classification and collection of various types of data.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a management platform based on big data.
Background
With the progress of human society and the development of scientific technology, the amount of data appearing in environmental protection, education, public safety, urban service, industrial and commercial activities, and the like, is increasing. In the process of constructing the smart city, advanced technologies and means are required to sense, analyze and integrate various key information of a city operation core system so as to realize city smart management and operation.
At present, because the data types are complex, the data processing of a computer only stops at the simple processing of the data, and the effective classification management of the data cannot be realized.
Therefore, how to provide a management platform capable of implementing fast and efficient classification of data and implementing interconnection and intercommunication of various data and information interaction is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of this, the present invention provides a management platform based on big data, which can implement interconnection and intercommunication and automatic classification and summarization of various types of data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big-data based management platform, comprising:
the data acquisition module is used for acquiring various different types of data information according to a time sequence;
the application system supporting module is used for aggregating the dispersed and heterogeneous different types of data information and realizing the seamless access and integration of the different types of data information across a database and a system platform through a uniform service interface;
the data management module is used for carrying out consistency definition, management and classification on the subjects, dimensions and indexes of various types of data information according to a data map, a data dictionary and data blooding margins;
and the operation and maintenance management module is used for monitoring and optimizing the running states of the data acquisition module, the application system support module and the data management module.
According to the technical scheme, compared with the prior art, the data information is acquired according to the time sequence, so that the statistical characteristics and the development rules of the data are conveniently found, and meanwhile, the data are conveniently classified at the later stage; the invention provides a uniform service interface through the application system supporting module, so that different enterprise units are integrated across system platforms, interconnection and information interaction of each data center are realized, and data sharing is finally realized; the invention realizes automatic summarization and analysis and rapid and high-precision classification of various types of data information through the data management module; the invention ensures the safe and effective operation of the big data management platform through the operation and maintenance management module.
Preferably, in the above big data based management platform, a data security module is further included; the data security module is used for managing a login interface and authority distribution of a user and providing a multi-level security operation environment.
Preferably, in the above big data-based management platform, the data security module includes a login module, a rights management module, and an information security module;
the login module is used for authenticating login information of the user by adopting Kerberos;
the authority management module is used for endowing corresponding authorities to different users according to the login information of the users;
the information security module is used for dividing the management platform into a plurality of security levels of network security, host security, virtualization security, application security and data security according to the levels and providing a secure cloud environment for the security management and the process of the supporting facilities.
Preferably, in the above big data based management platform, the application system support module includes a service platform module and a cloud infrastructure module;
the service platform module is used for providing a standard service model and an access entrance and providing uniform data and application service for upper-layer application;
the cloud infrastructure module is used for providing a unified management logic, performing virtualization processing on various hardware resources according to the unified management logic, and dynamically adjusting the scale of distribution of various hardware resources along with the load change of the management platform.
Preferably, in the above big data-based management platform, the data management module includes a database module, a data analysis module, and a data classification module;
the database module is used for storing standard data information of various classification labels;
the data analysis module is used for analyzing and comparing the similarity between the data information acquired by the data acquisition module and the standard data information and generating an analysis result;
and the data classification module is used for determining the type of the data information acquired by the data acquisition module according to the analysis result.
Preferably, in the above big data-based management platform, the data analysis module includes a similarity extraction module and a result generation module;
the similarity extraction module is used for extracting a similarity factor between the data information acquired by the data acquisition module and the standard data information;
the result generating module is used for determining the similarity between the data information acquired by the data acquiring module and the standard data information according to the number of the similarity factors and generating the analysis result according to the similarity.
Preferably, in the above big data based management platform, the data management module further includes a data optimization module;
the data optimization module is used for optimizing the data information acquired by the data acquisition module.
Preferably, in the above big data-based management platform, the operation and maintenance management module is further configured to customize different kinds of views for the classified data information.
Preferably, in the above management platform based on big data, the management platform further includes a real-time flow calculation module, configured to develop a flow calculation task using SQL, be compatible with offline SQL, and analyze access data of a user in real time, and display flow changes and user distribution conditions.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a block diagram illustrating a big data based management platform according to the present invention;
FIG. 2 is a block diagram illustrating an alternative embodiment of a big data based management platform according to the present invention;
FIG. 3 is a block diagram of a data security module provided by the present invention;
FIG. 4 is a block diagram of an application support module according to the present invention;
FIG. 5 is a block diagram of a data management module according to the present invention;
fig. 6 is a block diagram illustrating a structure of a big data-based management platform according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention discloses a management platform based on big data, including:
the data acquisition module 1 is used for acquiring various types of data information according to a time sequence;
the application system supporting module 2 is used for aggregating the dispersed and heterogeneous data information of different types and realizing the seamless access and integration of the data information of different types across a database and a system platform through a uniform service interface;
the data management module 3 is used for carrying out consistency definition, management and classification on the subjects, dimensions and indexes of various types of data information according to a data map, a data dictionary and data blooding margins;
and the operation and maintenance management module 4 is used for monitoring and optimizing the running states of the data acquisition module, the application system support module and the data management module.
According to the method, data information is collected according to the time sequence, so that the statistical characteristics and the development rule of the data are convenient to find out, and meanwhile, the data are convenient to classify at the later stage; the invention provides a uniform service interface through the application system supporting module 2, so that different enterprise units are integrated across system platforms, interconnection and information interaction of each data center are realized, and data sharing is finally realized; the invention realizes automatic summarization and analysis and rapid and high-precision classification of various types of data information through the data management module 3; the invention ensures the safe and effective operation of the big data management platform through the operation and maintenance management module 4.
In another embodiment, as shown in fig. 2, further comprises a data security module 5; the data security module 5 is connected with the operation and maintenance management module 4; the operation and maintenance management module 4 monitors and optimizes the operation state of the data security module 5. The data security module 5 is used for managing a login interface and authority distribution of a user and providing a multi-level secure operating environment.
Specifically, as shown in fig. 3, the data security module 5 includes a login module 501, a rights management module 502, and an information security module 503;
the login module 501 is configured to authenticate login information of a user by using Kerberos;
the authority management module 502 is used for giving corresponding authorities to different users according to the login information of the users;
the information security module 503 is configured to divide the management platform into multiple security levels, i.e., network security, host security, virtualization security, application security, and data security, according to the hierarchy, and provide a secure cloud environment for security management and processes of supporting facilities. Each security level of the invention comprises a design principle of security isolation, credibility, controllability, auditability and recoverability, and management methods of configuration management, user and security reinforcement, security audit, vulnerability management and the like.
In one embodiment, as shown in fig. 4, the application system support module 2 includes a service platform module 201 and a cloud infrastructure module 202;
the service platform module 201 is used for providing a standard service model and an access entrance, and providing uniform data and application service for upper-layer application;
the cloud infrastructure module 202 is configured to provide a unified management logic, perform virtualization processing on various hardware resources according to the unified management logic, and dynamically adjust the scale of allocation of various hardware resources according to load changes of the management platform.
The invention realizes network infrastructure and multi-level service function through the service platform module 201, can eliminate 'information isolated island' caused by mutual isolation between different systems, realizes interconnection and intercommunication between different service application system data, and finally realizes data sharing. The cloud infrastructure module 202 is used for virtualizing hardware resources by deploying virtualization software on the servers, so that one physical server can bear the work of a plurality of servers, an infrastructure service layer with complete functions, open standards and convenient integration is provided for users by upwards providing service capabilities of physical machines, virtual hosts, virtual storage, virtual networks and the like, the scale of resource allocation is dynamically changed along with the load change of an application system, the capacity expansion requirement of the application system is quickly adapted, and the elastic resource allocation capability is realized.
In one embodiment, as shown in FIG. 5, data management module 3 includes a database module 301, a data analysis module 302, and a data classification module 303;
the database module 301 is used for storing standard data information of various classification labels;
the data analysis module 302 is configured to analyze and compare similarity between the data information acquired by the data acquisition module 1 and the standard data information, and generate an analysis result;
the data classification module 303 is configured to determine the type of the data information acquired by the data acquisition module 1 according to the analysis result.
Specifically, the data analysis module 302 includes a similarity extraction module 3021 and a result generation module 3022;
the similarity extraction module 3021 is configured to extract a similarity factor between the data information acquired by the data acquisition module 1 and the standard data information;
the result generating module 3022 is configured to determine the similarity between the data information acquired by the data acquiring module 1 and the standard data information according to the number of the similarity factors, and generate an analysis result according to the similarity.
The present invention can be applied to weather, equipment maintenance, grain yield, and medical diagnosis, and grain yield assessment and equipment maintenance will be exemplified below.
When the data information acquired by the data acquisition module 1 is the grain yield of a region in each province in recent years, the classification labels stored in the database module 301 are the data information of the standard time sequence data sequences under high yield, medium yield and low yield, and the acquired grain yield of the corresponding region is respectively subjected to similarity measurement with the data information of the standard time sequence data sequences under high yield, medium yield and low yield, so that the classification of the grain yield of the current acquired region is realized, and a basis is provided for grain statistical evaluation.
When the data information acquired by the data acquisition module 1 is the current of a certain power device, the classification tag stored in the database module 301 is a standard time sequence data sequence corresponding to the current under three conditions of normal, overcurrent and low current, and the acquired time sequence data sequence is subjected to similarity measurement with the standard time sequence data sequence corresponding to the current under normal, overcurrent and low current, so that the current acquired current is classified, and effective data is provided for device diagnosis and maintenance.
More advantageously, the data management module 3 further comprises a data optimization module 304;
the data optimization module 304 is configured to perform optimization processing on the data information acquired by the data acquisition module 1, and delete noise data.
Advantageously, the operation and maintenance management module 4 is further configured to customize different kinds of views for the classified data information. The statistical form or the chart is output in different modes through the operation and maintenance management module 4, and the display is more visual.
In another embodiment, as shown in fig. 6, the system further includes a real-time stream calculation module 6, configured to develop a streaming calculation task using SQL, be compatible with offline SQL, and analyze access data of a user in real time, and show traffic variation and user distribution.
The real-time flow calculation module 6 is connected with the operation and maintenance management module 4, and the operation and maintenance management module 4 monitors and optimizes the running state of the real-time flow calculation module 6.
The real-time stream calculation module 6 has the characteristics of high availability, high throughput, low delay, accurate calculation and the like, a user can debug and submit SQL development stream type calculation tasks on the big data management platform, the investment in the aspects of development, operation and maintenance and the like is saved for the user, and the user is helped to concentrate on solving the stream calculation requirements of the product.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A big data based management platform, comprising:
the data acquisition module is used for acquiring various different types of data information according to a time sequence;
the application system supporting module is used for aggregating the dispersed and heterogeneous different types of data information and realizing the seamless access and integration of the different types of data information across a database and a system platform through a uniform service interface;
the data management module is used for carrying out consistency definition, management and classification on the subjects, dimensions and indexes of various types of data information according to a data map, a data dictionary and data blooding margins;
and the operation and maintenance management module is used for monitoring and optimizing the running states of the data acquisition module, the application system support module and the data management module.
2. The big data based management platform according to claim 1, further comprising a data security module; the data security module is used for managing a login interface and authority distribution of a user and providing a multi-level security operation environment.
3. The big data-based management platform according to claim 2, wherein the data security module comprises a login module, a right management module and an information security module;
the login module is used for authenticating login information of the user by adopting Kerberos;
the authority management module is used for endowing corresponding authorities to different users according to the login information of the users;
the information security module is used for dividing the management platform into a plurality of security levels of network security, host security, virtualization security, application security and data security according to the levels and providing a secure cloud environment for the security management and the process of the supporting facilities.
4. The big data-based management platform according to claim 1, wherein the application system support module comprises a service platform module and a cloud infrastructure module;
the service platform module is used for providing a standard service model and an access entrance and providing uniform data and application service for upper-layer application;
the cloud infrastructure module is used for providing a unified management logic, performing virtualization processing on various hardware resources according to the unified management logic, and dynamically adjusting the scale of distribution of various hardware resources along with the load change of the management platform.
5. The big data-based management platform according to claim 1, wherein the data management module comprises a database module, a data analysis module and a data classification module;
the database module is used for storing standard data information of various classification labels;
the data analysis module is used for analyzing and comparing the similarity between the data information acquired by the data acquisition module and the standard data information and generating an analysis result;
and the data classification module is used for determining the type of the data information acquired by the data acquisition module according to the analysis result.
6. The big data-based management platform according to claim 5, wherein the data analysis module comprises a similarity extraction module and a result generation module;
the similarity extraction module is used for extracting a similarity factor between the data information acquired by the data acquisition module and the standard data information;
the result generating module is used for determining the similarity between the data information acquired by the data acquiring module and the standard data information according to the number of the similarity factors and generating the analysis result according to the similarity.
7. The big data based management platform according to claim 5, wherein the data management module further comprises a data optimization module;
the data optimization module is used for optimizing the data information acquired by the data acquisition module.
8. The big data-based management platform according to claim 1, wherein the operation and maintenance management module is further configured to customize different kinds of views for the classified data information.
9. The big data-based management platform according to claim 1, further comprising a real-time flow calculation module, configured to develop a flow calculation task using SQL, be compatible with offline SQL, and analyze user access data, show traffic changes, and user distribution in real time.
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