CN110753081B - Public security big data intelligent acquisition and analysis method and device - Google Patents
Public security big data intelligent acquisition and analysis method and device Download PDFInfo
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- CN110753081B CN110753081B CN201910830734.5A CN201910830734A CN110753081B CN 110753081 B CN110753081 B CN 110753081B CN 201910830734 A CN201910830734 A CN 201910830734A CN 110753081 B CN110753081 B CN 110753081B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
Abstract
The invention provides a public security big data intelligent acquisition and analysis method and a device, wherein the method comprises the following steps: social information of an acquired person is acquired and input through a data acquisition APP; the input data is directly pushed to an external network firewall and then to a video network front-end processor, the data is pushed to a video network gateway and then to a video network server, and the data is pushed to a firewall of a public security network, to the public security network front-end processor and then to a public security network server; storing the data into a corresponding data table in a database according to the type of the data; inquiring and statistically analyzing the data in the database, and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on a front-end page; and after the data reaches the public security network server, analyzing the data by the standing horse according to the early warning information set by the user to generate early warning. The invention has simple and safe data acquisition, has a set of complete safe and quick channel for data acquisition and entry, and can quickly generate early warning.
Description
Technical Field
The invention relates to the field of big data acquisition and analysis, in particular to a public security big data intelligent acquisition and analysis method and device.
Background
In the big data era, data is not only complex and diverse but increasingly important, and how to present more, faster and real-time data becomes an urgent need of many industries and national units, especially the public security industry, and a large amount of data needs to be collected for analysis, control and the like. How to gather more data, this needs a good front end acquisition instrument, and it can let the people simply use, establishes a simple channel, can let data type into own database fast, and the backstage carries out analysis and statistics to data, just can produce real-time early warning, guarantees the freshness of data, simply shows and seeks statistical data, makes things convenient for more non-professional ability operating system, enlarges crowd's application range.
Disclosure of Invention
The invention aims to provide an intelligent public security big data acquisition and analysis method and device, and aims to solve the problems of how to acquire more data, quickly inputting the data into a database of a user and generating real-time early warning.
The invention is realized by the following steps:
on one hand, the invention provides an intelligent public security big data acquisition and analysis method, which comprises the following steps:
social information of an acquired person is acquired and input through a data acquisition APP;
the input data are directly pushed to an external network firewall and then pushed to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gateway and then to a video network server through the video network gateway, and the video network server pushes the data to a firewall of a public security network, passes through the firewall of the public security network to the front-end processor of the public security network and then to the server of the public security network through the gateway of the public security network;
after the data reaches the public security network server, storing the data into a corresponding data table in a database according to the type of the data;
inquiring and statistically analyzing the data in the database, and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on a front-end page;
and after the data reaches the public security network server, analyzing the data by the standing horse according to the early warning information set by the user to generate early warning.
Further, the social information collected and input by the data collection APP comprises the identity card information and the data type of the collected person.
Further, the data is not reserved or saved in the whole process from the logging of the data acquisition APP to the arrival of the data at the public security network server.
Further, the method further comprises: and carrying out deep analysis on the data to obtain the association information among the data and displaying the association information on the front-end page.
Further, the performing deep analysis on the data to obtain the associated information between the data and displaying the associated information on the front-end page specifically includes: aiming at the relational data, analyzing the relation between people for certain type of data by human center, counting the frequency of certain relation between people, and displaying the obtained relational data on a front-end page by using a relation circle.
Further, still include: and carrying out the next round of analysis according to one of the nodes selected by the user to obtain the related data relationship of the selected node, and exporting corresponding relationship data according to the export instruction of the user.
Further, the performing deep analysis on the data to obtain the associated information between the data and displaying the associated information on the front-end page specifically includes: and aiming at the statistical data, performing other mining on the statistical data according to the existing data, and performing other statistical analysis of different latitudes on certain data.
Further, still include: analyzing the data of the two different areas, and analyzing the flow direction of the data to obtain whether the data of the two areas has the flow direction condition.
Further, still include: and comparing the external data, and determining the type of the data provided by the user according to the comparison between the existing data provided by the user and the data of the database.
On the other hand, the invention also provides a public security big data intelligent acquisition and analysis device, which comprises:
the data entry module is used for collecting and entering the social information of the collected person;
the data transmission module is used for directly pushing the input data to an external network firewall and then to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gateway, and then the data is pushed to a video network server through the video network gateway, the video network server pushes the data to a firewall of a public security network, the data passes through the firewall of the public security network to the front-end processor of the public security network, and the data passes through the gateway of the public security network to the server of the public security network;
the data storage module stores the data into a corresponding data table in the database according to the type of the data after the data reaches the public security network server;
the statistical analysis module is used for inquiring and statistically analyzing the data in the database and displaying the ranking, distribution and trend of the data in the forms of tables, charts and maps on the front-end page;
and the early warning module is used for analyzing the data and generating early warning according to early warning information set by a user immediately after the data reaches the public security network server.
Compared with the prior art, the invention has the following beneficial effects:
the intelligent public security big data acquisition and analysis method and device provided by the invention have the advantages that the data acquisition is simple and safe, a set of complete safe fast channel for data acquisition and inputting to the server is provided, the early warning can be generated rapidly, if the acquired data is the deployment control data, the system can rapidly generate the alarm, the whole data is acquired from the completion of the acquisition of an acquirer to the early warning within 1 minute, and the fastest safe real-time early warning is achieved; the data relation is obviously displayed, and the ranking, distribution and trend of the data are displayed in the forms of tables, charts and maps, so that the user can conveniently observe the data.
Drawings
Fig. 1 is a flowchart of an intelligent collecting and analyzing method for public security big data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a data entry process provided by an embodiment of the invention;
fig. 3 is a block diagram of a public security big data intelligent acquisition and analysis system according to an 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 provides an intelligent collecting and analyzing method for public security big data, including the following steps:
s1, collecting and recording social information of the collected person through a data collection APP;
s2, the recorded data are directly pushed to an external network firewall and then pushed to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gateway, the data are pushed to a video network server through the video network gateway, the video network server pushes the data to a firewall of a public security network, the data pass through the firewall of the public security network to the front-end processor of the public security network, and the data pass through the gateway of the public security network to the server of the public security network, and the data are shown in figure 2;
s3, storing the data into a corresponding data table in the database according to the type of the data after the data arrive at the public security network server;
s4, inquiring and statistically analyzing the data in the database, and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on the front-end page;
and S5, after the data arrive at the public security network server, immediately analyzing the data according to the early warning information set by the user to generate early warning.
The intelligent public security big data acquisition and analysis method and device provided by the embodiment of the invention have the advantages that the data acquisition is simple and safe, a set of complete safe fast channel for data acquisition and inputting to the server is provided, the early warning can be generated rapidly, if the acquired data is the deployment control data, the system can rapidly generate the alarm, the whole data is acquired by an acquirer until the early warning does not exceed 1 minute, and the fastest safe real-time early warning is achieved; the data relation is obviously displayed, and the ranking, distribution and trend of the data are displayed in the forms of tables, charts and maps, so that the user can conveniently observe the data.
The above steps will be described in detail.
In step S1, the social information of the collected person is collected and entered through the data collection APP, the data collection APP is installed in the mobile terminal, the social information can be entered anytime and anywhere by the collector, and the social information can be entered in batches after a batch of data is obtained, so that the freshness and the universality of the data in entry are ensured, generally, the collector needs to enter the information such as the identification card, the photo, the name, the place and the like of the collected person, preferably, the social information collected and entered by the data collection APP only includes the identification card information and the data type of the collected person, wherein the data type can be set according to specific conditions, such as the sales data type, the theft data type and the like, and the rest can be left unfilled, thereby simplifying the data entry mode and operation, thus ensuring that the collector can directly collect the data without training, and being convenient to operate. And the identity card reader can be directly used for directly reading identity card information, and the whole acquisition process is simple and convenient. Preferably, the administrator allocates an account and a password to the acquirer and binds the account and the password with the ID card of the acquirer, so that the uniqueness of the account is ensured, and data cannot be recorded in disorder.
In the step S2, the data is not preserved or stored in the whole process from being entered by the data acquisition APP to reaching the public security network server, the internet data is not preserved or preserved when being entered, and is directly pushed to the external network firewall, so that the security of the entry of the data in the first step is ensured, and in the data transmission process, the whole process does not preserve or store any data, and only data pushing processing is performed, so that the security transmission of the data is ensured, and the data is ensured not to be lost or leaked. Because the mobile terminal for inputting data does not store and retain data, the data acquisition APP account can be distributed to people except an administrator for use, and the data input range is expanded.
In step S3, a plurality of basic databases are created in the background in advance, a table data structure with a certain rule is defined, and after the data reaches the public security network server, different types of data are determined and stored in corresponding data tables.
In step S4, the data in the database is queried and statistically analyzed to obtain basic information and basic statistical data of the data, and the ranking, distribution and trend of the data are shown in the form of tables, charts and maps on the front-end page, so that the user can intuitively know the data condition.
In step S5, receiving a data type and related information that a user sets for different data sources and wants to be controlled, and controlling the data; after the data are recorded into the public security network server, the data are analyzed immediately to generate early warning, then early warning information is sent to an administrator, and the latest data are monitored all the time to manage the distributed and controlled data.
Preferably, the method further comprises: and carrying out deep analysis on the data to obtain the associated information among the data, and displaying the associated information on a front-end page. The specific analysis method is as follows:
and classifying the data according to the type of the data aiming at the relational data, analyzing the relation between people for certain type of data by a human center, counting the frequency of certain relation between people to obtain deeper relational data, and displaying the obtained relational data on a front page by using a relation ring. Preferably, the method further comprises the following steps: further analysis is carried out according to habits and thoughts of users, such as: a person on the relationship node determines that the relationship is not the relationship, the user can delete the node, perform data cleaning on the relationship ring again, and then show a new relationship to the user again, so that a clearer and more accurate data relationship is obtained. Further, still include: and carrying out the next round of analysis according to one of the nodes selected by the user to obtain the related data relationship of the selected node, wherein when the front-end page nodes are excessive, the user can also send a derivation instruction, and then corresponding relationship data is derived according to the derivation instruction of the user.
And aiming at the statistical data, performing other mining on the statistical data according to the existing data, and performing other statistical analysis of different latitudes on certain data. Such as: the ranking of the biography and marketing in a certain area is counted, the data of the type of the biography and marketing is subjected to statistical analysis of different latitudes, the biography and marketing data in different areas can be counted to obtain a key biography and marketing area, the number of times of the biography and marketing of personnel can be counted, the relationship between the different biography and marketing personnel is obtained by utilizing the relationship circle, and whether the different personnel are a group or not can be analyzed. Further, still include: analyzing the data of the two different areas, analyzing the flow direction of the data, and obtaining whether the data of the two areas has the flow direction condition. Further, still include: and comparing the external data, and determining the type of the data provided by the user according to the comparison between the existing data provided by the user and the data of the database.
Based on the same inventive concept, the embodiment of the invention also provides an intelligent public security big data acquisition and analysis device, and as the principle of the device for solving the technical problems is similar to that of the method embodiment, the implementation of the device can refer to the implementation of the method, and repeated parts are not repeated.
As shown in fig. 3, an intelligent collecting and analyzing apparatus for public security big data provided by an embodiment of the present invention includes:
the data entry module 11 is used for collecting and entering the social information of the collected person;
the data transmission module 12 is used for directly pushing the input data to an external network firewall and then to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gatekeeper, and then the data is pushed to a video network server through the video network gatekeeper, the video network server pushes the data to a firewall of a public security network, passes through the firewall of the public security network to the front-end processor of the public security network, and passes through the gatekeeper of the public security network to the public security network server;
the data storage module 13 is used for storing the data into a corresponding data table in the database according to the type of the data after the data reaches the public security network server;
the statistical analysis module 14 is used for inquiring and statistically analyzing the data in the database, and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on the front-end page;
and the early warning module 15 is used for analyzing the data according to early warning information set by a user and generating early warning after the data reaches the public security network server.
In one embodiment, the social information collected by the data entry module 11 includes the identification card information of the collected person and the data type.
In one embodiment, the data transfer module 12 does not retain or save any data throughout the flow of transferring data.
In one embodiment, the system further comprises a depth analysis module, which is used for performing depth analysis on the data, obtaining the association information between the data and displaying the association information on the front-end page.
In one embodiment, the depth analysis module is specifically configured to: aiming at the relational data, for certain type of data, the relation between people is analyzed by a human center, the frequency of certain relation between people is counted, and the obtained relational data is displayed on a front-end page by using a relation circle. And further, the system is also used for carrying out the next round of analysis according to one node selected by the user to obtain the related data relationship of the selected node, and exporting the corresponding relationship data according to the export instruction of the user.
In one embodiment, the depth analysis module is specifically configured to: and aiming at the statistical data, performing other mining on the statistical data according to the existing data, and performing other statistical analysis of different latitudes on certain data. And further, the method is also used for analyzing the data of the two different areas, and analyzing the flow direction of the data to obtain whether the data of the two areas has the flow direction condition. And further, the method is also used for comparing external data, and determining the type of the data provided by the user according to the comparison between the existing data provided by the user and the data of the database.
In one embodiment, the early warning module 15 is specifically configured to: receiving data types and related information which are set by a user and are required to be controlled aiming at different data sources for controlling; after the data are recorded into the public security network server, the data are analyzed immediately to generate early warning, and then early warning information is sent to an administrator.
Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
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 fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A public security big data intelligent acquisition and analysis method is characterized by comprising the following steps:
social information of an acquired person is acquired and input through a data acquisition APP;
the input data are directly pushed to an external network firewall and then pushed to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gateway and then to a video network server through the video network gateway, and the video network server pushes the data to a firewall of a public security network, passes through the firewall of the public security network to the front-end processor of the public security network and then to the server of the public security network through the gateway of the public security network; the data is recorded into the whole process of reaching the public security network server from the data acquisition APP, and no data is reserved or stored;
after the data reaches the public security network server, storing the data into a corresponding data table in the database according to the type of the data;
inquiring and statistically analyzing the data in the database, and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on a front-end page;
and after the data reaches the public security network server, analyzing the data by the standing horse according to the early warning information set by the user to generate early warning.
2. The method of claim 1, wherein the method comprises: the social information collected and input by the data collection APP comprises the identity card information and the data type of the collected person.
3. The method of claim 1, further comprising: and carrying out deep analysis on the data to obtain the associated information among the data, and displaying the associated information on a front-end page.
4. The method as claimed in claim 3, wherein the deep analysis of the data to obtain the correlation information between the data and the display on the front page specifically comprises: aiming at the relational data, analyzing the relation between people for certain type of data by human center, counting the frequency of certain relation between people, and displaying the obtained relational data on a front-end page by using a relation circle.
5. The method of claim 4, further comprising: and carrying out the next round of analysis according to one of the nodes selected by the user to obtain the related data relationship of the selected node, and exporting corresponding relationship data according to the export instruction of the user.
6. The method as claimed in claim 3, wherein the deep analysis of the data to obtain the correlation information between the data and the display on the front page specifically comprises: and aiming at the statistical data, performing other mining on the statistical data according to the existing data, and performing other statistical analysis of different latitudes on certain data.
7. The method as claimed in claim 6, further comprising: analyzing the data of the two different areas, and analyzing the flow direction of the data to obtain whether the data of the two areas has the flow direction condition.
8. The method of claim 6, further comprising: and comparing the external data, and determining the type of the data provided by the user according to the comparison between the existing data provided by the user and the data of the database.
9. The utility model provides a big data wisdom collection analytical equipment of policeman, its characterized in that includes:
the data entry module is used for collecting and entering the social information of the collected person;
the data transmission module is used for directly pushing the input data to an external network firewall and then to a video network front-end processor through the external network firewall, the video network front-end processor pushes the data to a video network gatekeeper, and then the data is pushed to a video network server through the video network gatekeeper, the video network server pushes the data to a firewall of a public security network, passes through the public security network firewall to the public security network front-end processor, and passes through the public security network gatekeeper to the public security network server; the data is recorded into the whole process of reaching the public security network server from the data acquisition APP, and no data is reserved or stored;
the data storage module stores the data into a corresponding data table in the database according to the type of the data after the data reaches the public security network server;
the statistical analysis module is used for inquiring and statistically analyzing the data in the database and displaying the ranking, distribution and trend of the data in the form of tables, charts and maps on a front-end page;
and the early warning module is used for analyzing the data according to early warning information set by a user and generating early warning after the data reaches the public security network server.
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