CN111737272A - Big data automatic management platform capable of interactively displaying various indexes - Google Patents
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Abstract
The invention discloses a big data automatic management platform capable of interactively displaying various indexes, which comprises a data acquisition system, a data integration system, a data analysis system, a storage center and an information retrieval system, wherein the data acquisition system, the data integration system, the data analysis system, a data classification system, the storage center and the information retrieval system are uniformly controlled by the management platform, the data acquisition system comprises a data transceiver module, a monitoring module and a database module, the database module comprises a historical data information base, and the data transceiver module comprises a plurality of information collection channels. This big data automated management platform of various indexes of interactive show can realize the interactive show of various index data, is favorable to realizing the sharing and the intercommunication of information, and can carry out timely replenishment to information for data update speed is blockier, and the acquisition mode is comparatively various, makes the information of collecting various, and data representative.
Description
Technical Field
The invention relates to the technical field related to data automation management, in particular to a big data automation management platform capable of interactively displaying various indexes.
Background
With the development of the data era, big data information plays a crucial role in city management, and compared with the traditional way of manually recording, sorting and analyzing data, the big data automatic management platform can collect and process a large amount of data, reduces the probability of errors, realizes the sharing of information, and is more beneficial to the development of cities, so that the automatic management platform is more needed to count, analyze and archive big data, but the existing big data automatic management platform in the current market still has certain defects, such as:
1. the existing big data automatic management platform often cannot realize interactive display of various index data, so that information is closed, and information sharing and intercommunication cannot be realized;
2. a general big data automatic management platform cannot supplement information in time, so that the data updating speed is low;
3. the common big data automatic management platform has a single data acquisition mode, and cannot ensure the diversity of data, so that the data is not representative.
Therefore, we propose a big data automation management platform capable of interactively displaying various indexes so as to solve the problems proposed in the above.
Disclosure of Invention
The invention aims to provide a big data automatic management platform capable of interactively displaying various indexes, and aims to solve the problems that most big data automatic management platforms proposed in the background technology cannot realize interactive display of various index data, cause information closure, cannot realize sharing and intercommunication of information, cannot supplement information in time, cause slow data updating speed, have single acquisition mode, cannot ensure diversity of data, and cause data not to be representative.
In order to achieve the purpose, the invention provides the following technical scheme: the big data automatic management platform capable of interactively displaying various indexes comprises a data acquisition system, a data integration system, a data analysis system, a storage center and an information retrieval system, wherein the data acquisition system, the data integration system, the data analysis system, a data classification system, the storage center and the information retrieval system are uniformly controlled by the management platform.
Preferably, the data acquisition system comprises a data transceiver module, a monitoring module and a database module, wherein the database module comprises a historical data information base, and the data transceiver module comprises a plurality of information collection channels.
Preferably, the information of the historical data information base is derived from a data acquisition system, and the historical data information base corresponds to the data acquisition system through a plurality of channels.
Preferably, the data acquisition mode adopted during the operation of the data acquisition system comprises a manual acquisition mode, a cloud acquisition mode and a data calling mode, the manual acquisition mode can be realized by active submission and passive acquisition, and the cloud acquisition mode comprises information monitoring statistics, network data integration and information exchange collection;
meanwhile, the active submission in the manual acquisition mode can be realized by setting a mailbox and a delivery site, and the passive acquisition in the manual acquisition mode is realized by a random access and basic information collection mode;
preferably, the information monitoring statistics is composed of a monitoring collection unit and a monitoring collection unit, the monitoring collection unit and the monitoring collection unit receive the device information sent by the monitoring and monitoring network device while monitoring and monitoring the device information sent by the network device, and the monitoring collection unit include a plurality of information collection channels.
Preferably, the data integration system comprises a summary server, a transmitter and an information interception module, wherein the summary server is used for integrating information acquired by a manual acquisition mode, a cloud acquisition mode and a data calling mode, the information interception module intercepts and eliminates forcibly input malicious information, the summary server transmits the information to a database through the transmitter, and the database is used for storing the result after the summary server summarizes.
Preferably, the data classification system retrieves data from a database, and the data processing module classifies the data processing, wherein the classified categories include confidential data, public data, regular data, and warning data.
Preferably, the storage center stores data information sent by the data analysis system, and the data storage center includes a plurality of servers, the plurality of servers form a server cluster, and one or more information collection channels are set in the servers.
Preferably, the data retrieval system comprises a data interaction display window, a data supplement window, a data reporting window and a data monitoring window, and the display content of the data interaction display window is made into public data.
Preferably, the data supplement window and the data report window are both arranged corresponding to the data transceiver module, and the data supplement window and the data report window perform data transmission with the data transceiver module through different collection channels.
Compared with the prior art, the invention has the beneficial effects that: the big data automatic management platform capable of interactively displaying various indexes can realize interactive display of various index data, is beneficial to realizing sharing and intercommunication of information, can supplement the information in time, enables the data updating speed to be faster, has various acquisition modes, enables the collected information to be various and enables the data to be representative;
1. through the set data interaction display window, the integrated public data is displayed through the data interaction display window, so that the information is conveniently popularized and retrieved, the information publicization and sharing are facilitated, and the information development of a city is promoted;
2. through the set data supplement window, relevant workers and common users can supplement data through the data supplement window, and the supplemented data are received by the data acquisition system, integrated, analyzed and screened, and finally stored in the database, so that the information of the database can be updated in time, and the authenticity of the data is ensured;
3. data are collected in a manual collection mode, a cloud collection mode and a data calling mode, diversification of the data collection mode can be achieved, the source channel of information is wider, and the data collection method is more representative.
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FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a diagram illustrating the contents of a database according to 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 embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: the big data automatic management platform capable of interactively displaying various indexes comprises a data acquisition system, a data integration system, a data analysis system, a storage center and an information retrieval system, wherein the data acquisition system, the data integration system, the data analysis system, a data classification system, the storage center and the information retrieval system are uniformly controlled by the management platform.
Furthermore, the data acquisition system comprises a data transceiver module, a monitoring module and a database module, wherein the database module comprises a historical data information base, and the data transceiver module comprises a plurality of information collection channels.
Furthermore, the information of the historical data information base is derived from the data acquisition system, and the historical data information base corresponds to the data acquisition system through a plurality of channels.
Furthermore, the data acquisition mode adopted during the operation of the data acquisition system comprises a manual acquisition mode, a cloud acquisition mode and a data calling mode, the manual acquisition mode can be realized by active submission and passive acquisition, and the cloud acquisition mode comprises information monitoring statistics, network data integration and information exchange collection;
meanwhile, the active submission in the manual acquisition mode can be realized by setting a mailbox and a delivery site, and the passive acquisition in the manual acquisition mode is realized by a random access and basic information collection mode;
further, the information monitoring statistics is composed of a monitoring collection unit and a monitoring collection unit, the monitoring collection unit and the monitoring collection unit receive the device information transmitted by the network device for monitoring and monitoring while monitoring and monitoring the device information transmitted by the network device, and the monitoring collection unit include a plurality of information collection channels.
Furthermore, the data integration system comprises a summary server, a transmitter and an information interception module, wherein the summary server is used for integrating information acquired in a manual acquisition mode, a cloud acquisition mode and a data calling mode, the information interception module intercepts and eliminates forcibly input malicious information, the summary server transmits the information to a database through the transmitter, and the database is used for storing the result summarized by the summary server.
Further, the data classification system retrieves data from a database and the data processing module classifies the data processing, wherein the classified categories include confidential data, public data, regular data, and warning data.
Furthermore, the storage center stores data information sent by the data analysis system, and the data storage center comprises a plurality of servers, the plurality of servers form a server cluster, and one or more information collection channels are arranged in the servers.
Furthermore, the data retrieval system comprises a data interaction display window, a data supplement window, a data reporting window and a data monitoring window, and the display content of the data interaction display window is made into public data.
Furthermore, the data supplement window and the data report window are both arranged corresponding to the data transceiver module, and the data supplement window and the data report window perform data transmission with the data transceiver module through different collection channels.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and all the changes or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The big data automatic management platform capable of interactively displaying various indexes comprises a data acquisition system, a data integration system, a data analysis system, a storage center and an information retrieval system, wherein the data acquisition system, the data integration system, the data analysis system, a data classification system, the storage center and the information retrieval system are uniformly controlled by the management platform.
2. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the data acquisition system comprises a data transceiver module, a monitoring module and a database module, wherein the database module comprises a historical data information base, and the data transceiver module comprises a plurality of information collection channels.
3. The big data automation management platform capable of interactively displaying various indexes, according to claim 2, is characterized in that: the information of the historical data information base is from a data acquisition system, and the historical data information base corresponds to the data acquisition system through a plurality of channels.
4. The big data automation management platform capable of interactively displaying various indexes, according to claim 2, is characterized in that: the data acquisition mode adopted during the operation of the data acquisition system comprises a manual acquisition mode, a cloud acquisition mode and a data calling mode, the manual acquisition mode can be realized by active submission and passive acquisition, and the cloud acquisition mode comprises information monitoring statistics, network data integration and information exchange collection;
meanwhile, active submission in the manual collection mode can be realized by setting a mailbox and a delivery site, and passive collection in the manual collection mode is realized by a random access and basic information collection mode.
5. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the information monitoring statistics is composed of a monitoring collection unit and a monitoring collection unit, the monitoring collection unit and the monitoring collection unit receive the equipment information sent by the network equipment for monitoring and monitoring when monitoring and monitoring the equipment information sent by the network equipment, and the monitoring collection unit comprise a plurality of information collection channels.
6. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the data integration system comprises a summary server, a transmitter and an information interception module, wherein the summary server is used for integrating information acquired by a manual acquisition mode, a cloud acquisition mode and a data calling mode, the information interception module intercepts and eliminates forcibly input malicious information, the summary server transmits the information to a database through the transmitter, and the database is used for storing the result after the summary server summarizes.
7. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the data classification system retrieves data from a database, and the data processing module classifies data processing, wherein classified categories comprise confidential data, public data, regular data and warning data.
8. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the storage center stores data information sent by the data analysis system, the data storage center comprises a plurality of servers, the plurality of servers form a server cluster, and one or more information collection channels are arranged in the servers.
9. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the data retrieval system comprises a data interaction display window, a data supplement window, a data reporting window and a data monitoring window, and the display content of the data interaction display window is made into public data.
10. The big data automation management platform capable of interactively displaying various indexes, according to claim 1, is characterized in that: the data supplement window and the data report window are both arranged corresponding to the data receiving and transmitting module, and data transmission is carried out between the data supplement window and the data report window and the data receiving and transmitting module through different collecting channels.
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