CN111353926A - Police affair information cloud platform - Google Patents
Police affair information cloud platform Download PDFInfo
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- CN111353926A CN111353926A CN202010132738.9A CN202010132738A CN111353926A CN 111353926 A CN111353926 A CN 111353926A CN 202010132738 A CN202010132738 A CN 202010132738A CN 111353926 A CN111353926 A CN 111353926A
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Abstract
The application discloses a police service information cloud platform which comprises a data layer, an intermediate layer and a service layer, wherein the data layer is used for acquiring target data; the intermediate layer is used for performing data dimension reduction processing on the target data to obtain a plurality of data sets; and the service layer is used for realizing a preset police service function according to the plurality of data sets. Police effectiveness can be improved through the police information cloud platform.
Description
Technical Field
The application relates to the technical field of big data construction and application, in particular to a police affairs information cloud platform.
Background
Since the construction of public security big data, the whole resultant force in terms of data total amount, storage capacity and processing capacity is mainly focused for many years. However, the current public security big data construction mode cannot be continuously optimized, a scale effect cannot be formed, the data value mining capability based on public security services is not formed, the value of data is not really reflected, and the method is mainly represented by the following steps: the convergence and fusion of external data resources are insufficient, and the problems of undefined access target and poor implementability exist; the innovation of the police affair mode is insufficient, the decision-making scientification, the management accuracy and the service high-efficiency degree need to be optimized; the construction of data centers of various public security agencies is centralized instead of intensified, for example, data centers supported by cloud computing technology are built in various public security agencies, but actually, the data centers are in mutual engagement, the interoperability has a great problem, real unification is not realized in management, unified scheduling of resources cannot be realized, and the goals of intensive management and efficient application cannot be achieved; the phenomenon of 'information islanding' caused by data barriers still exists, and the large data value mining around the multiple police is not formed from the police station, district/county public security, ground level city and provincial public security. Therefore, when the public security big data is applied, the efficiency of police management is extremely low.
Disclosure of Invention
The embodiment of the application provides a police service information cloud platform, which transversely serves multiple police seeds, longitudinally serves various levels of organizations, and reduces the dimension of data through an intermediate layer so as to meet the data requirements in different application scenes and improve the police service efficiency.
In a first aspect, an embodiment of the present application provides a police intelligence cloud platform, which includes a data layer, an intermediate layer, and a service layer,
the data layer is used for acquiring target data;
the intermediate layer is used for performing data dimension reduction processing on the target data to obtain a plurality of data sets;
and the service layer is used for realizing a preset police service function according to the plurality of data sets.
Optionally, the intermediate layer comprises at least one of:
the unified identity module is used for screening corresponding data from the target data according to a first constraint condition to form a first data set, wherein the first constraint condition is that the data reflects identity information of personnel, and the identity information comprises real identity information, virtual identity information and electronic identity information;
the personnel file module is used for screening corresponding data from the target data according to a second constraint condition to form a second data set, wherein the second constraint condition is that the data reflects personnel information, and the personnel information comprises basic information, relatives, social relations, religions, case-involved information, interest specialties and characteristics of personnel;
the case file module is used for screening corresponding data from the target data according to a third constraint condition to form a third data set, wherein the third constraint condition is that the data reflects case information, and the case information comprises basic information of cases, case handling units, case involved personnel, case involved articles, case involved places and associated alarm conditions;
the article file module is used for screening corresponding data from the target data according to a fourth constraint condition to form a fourth data set, wherein the fourth constraint condition is that the data reflects article information, and the article information comprises article identification, article name, article type, article characteristics, case-related information and article owner;
the place archive module is used for screening corresponding data from the target data according to a fifth constraint condition to form a fifth data set, wherein the fifth constraint condition is that the data reflects place information, and the place information comprises place categories, place names, place administrative partitions, place detailed addresses, place longitude and latitude, place accountants and contact ways of places;
the relationship archive module is used for screening corresponding data from the target data according to a sixth constraint condition to form a sixth data set, wherein the sixth constraint condition is data reflection relationship information, and the relationship information comprises relationships among people, relationships among people and objects and relationships among objects;
a staff trajectory module, configured to screen corresponding data from the target data according to a seventh constraint condition to form a seventh data set, where the seventh constraint condition is trajectory information corresponding to a staff whose data reflects a unified identity, and the staff trajectory information corresponding to the unified identity includes: people, time, place, event;
an article trajectory module, configured to screen corresponding data from the target data according to an eighth constraint condition to form an eighth data set, where the eighth constraint condition is that the data reflects trajectory information of an article, and the trajectory information of the article includes: item, time, place, event;
a monitoring entity list module, configured to screen corresponding data from the target data according to a ninth constraint condition to form a ninth data set, where the ninth constraint condition is that the data reflects a monitoring entity, and the monitoring entity includes all devices registered on the internet;
the economic archive module is used for screening corresponding data from the target data according to a tenth constraint condition to form a tenth data set, wherein the tenth constraint condition is that the data reflect economic information of personnel, and the economic information comprises shopping consumption, bank deposit, gas, water and electricity expenses;
the organization mechanism module is used for screening corresponding data from the target data according to an eleventh constraint condition to form an eleventh data set, wherein the eleventh constraint condition is a data reflection organization, and the organization mechanism comprises an administrative mechanism and an enterprise mechanism;
the group archive module is used for screening corresponding data from the target data according to a twelfth constraint condition to form a twelfth data set, wherein the twelfth constraint condition is a community of data reflecting personnel;
the IP address library module is used for screening corresponding data from the target data according to a thirteenth constraint condition to form a thirteenth data set, wherein the thirteenth constraint condition is that the data reflects the identification of people or objects, IP addresses visited and time;
the event archive module is used for screening corresponding data from the target data according to a fourteenth constraint condition to form a fourteenth data set, wherein the fourteenth constraint condition is that the data reflects relevant information of an event, and the relevant information of the event comprises an event identifier, an occurrence place and an event starting and stopping time;
and the address library module is used for screening corresponding data from the target data according to a fifteenth constraint condition to form a fifteenth data set, wherein the fifteenth constraint condition is that the data reflect addresses of individuals and groups with longitude and latitude.
Optionally, the unified identity module comprises at least one of:
a real identity module, configured to screen data reflecting real identity information from the target data, and form a first subset of the first data set;
the virtual identity module is used for screening out data reflecting virtual identity information from the target data to form a second subset of the first data set;
and the electronic identity module is used for screening out data reflecting electronic identity information from the target data to form a third subset of the first data set.
Optionally, the personnel record module comprises at least one of:
the yellow-related personnel file module is used for screening out data reflecting yellow-related personnel information from the target data to form a first subset of the second data set;
the virus-related personnel file module is used for screening out data reflecting the information of the virus-related personnel from the target data to form a second subset of the second data set;
a betting personnel file module for screening out data reflecting betting personnel information from the target data to form a third subset of the second data set;
the military personnel file module is used for screening out data reflecting military personnel information from the target data to form a fourth subset of the second data set;
and the removal related personnel archive module is used for screening out data reflecting information of removal related personnel from the target data to form a fifth subset of the second data set.
Optionally, the case archive module comprises at least one of:
the yellow-related case archive module is used for screening out data reflecting yellow-related case information from the target data to form a first subset of the third data set;
the drug-related case archive module is used for screening out data reflecting the information of the drug-related cases from the target data to form a second subset of the third data set;
a betting case archive module for screening out data reflecting betting case information from the target data to form a third subset of the third data set;
the military-related case file module is used for screening out data reflecting military-related case information from the target data to form a fourth subset of the third data set;
and the case-related-to-be-removed archive module is used for screening out data reflecting the information of the case-related-to-be-removed from the target data to form a fifth subset of the third data set.
Optionally, the item archive module comprises at least one of:
the drug archive module is used for screening out data reflecting drug information from the target data to form a first subset of the fourth data set;
the drug archive module is used for screening out data reflecting drug information from the target data to form a second subset of the fourth data set;
a firearm archive module for screening out data reflecting firearm information from the target data to form a third subset of the fourth data set;
and the demolition-related building module is used for screening out data reflecting building information to be demolished from the target data to form a fourth subset of the fourth data set.
Optionally, the venue profile module comprises at least one of:
the yellow-related place archive module is used for screening out data reflecting yellow-related place information from the target data to form a first subset of the fifth data set;
the virus-related place archive module is used for screening out data reflecting the information of the virus-related place from the target data to form a second subset of the fifth data set;
and the gambling place file module is used for screening out data reflecting the gambling place information from the target data to form a third subset of the fifth data set.
Optionally, the relationship archive module comprises at least one of:
the personnel relationship archive module is used for screening out data reflecting personnel relationship information from the target data to form a first subset of the sixth data set;
an item relationship archive module, configured to screen data reflecting item relationship information from the target data to form a second subset of the sixth data set;
and the personnel and article relation archive module is used for screening out data reflecting the relation information of the personnel and articles from the target data to form a third subset of the sixth data set.
Optionally, the economic profile module comprises at least one of:
the shopping consumption archive module is used for screening out data reflecting shopping consumption information from the target data to form a first subset of the tenth data set;
the bank deposit file module is used for screening out data reflecting bank deposit information from the target data to form a second subset of the tenth data set;
and the life payment archive module is used for screening out data reflecting life payment information from the target data to form a third subset of the tenth data set.
Optionally, the event profile module comprises at least one of:
the yellow-related event archive module is used for screening out data reflecting yellow-related event information from the target data to form a first subset of the fourteenth data set;
the system comprises a virus-related event archive module, a data acquisition module, a data analysis module and a data analysis module, wherein the virus-related event archive module is used for screening out data reflecting virus-related event information from the target data to form a second subset of the fourteenth data set;
a betting event archive module for screening out data reflecting betting event information from the target data to form a third subset of the fourteenth data set;
the military-related file module is used for screening out data reflecting military-related information from the target data to form a fourth subset of the fourteenth data set;
and the migration event archive module is used for screening out data reflecting information of the migration event from the target data to form a fifth subset of the fourteenth data set.
The police service intelligence cloud platform comprises a data layer, an intermediate layer and a service layer, wherein the data layer is used for acquiring target data; the intermediate layer is used for performing data dimension reduction processing on the target data to obtain a plurality of data sets; and the service layer is used for realizing a preset police service function according to the plurality of data sets. Therefore, the police service information platform provided by the application classifies the target data in the data layer according to the service requirement type of the service layer through the intermediate layer to obtain a data set with smaller data volume, and expands the dimension reduction mechanism of the police service data, so that the data after dimension reduction can meet the requirements of different scenes in a targeted manner, and the police service efficiency is further improved.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a software architecture of a police intelligence cloud platform according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a hardware structure of a police intelligence cloud platform according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic diagram of a software architecture of a police intelligence cloud platform according to an embodiment of the present application. As shown in fig. 1, the police intelligence cloud platform includes: the data layer is used for acquiring target data; the intermediate layer is used for performing data dimension reduction processing on the target data to obtain a plurality of data sets; and the service layer is used for realizing a preset police service function according to the plurality of data sets.
The data layer may obtain target data, where the target data may be standard data obtained and obtained from the user equipment and/or the application platform through middleware. That is, the middleware may include a data connector middleware and/or a communication agent middleware, the data connector middleware can be oriented to a data access product of multiple data sources (third party platform), and can access, clean and convert multiple data sources, and enter the data into a data layer, correspondingly, the data layer includes an original library and a standard library, the data connector middleware accesses the data into the original library of the data layer to construct the standard library, the third party platform includes an internet bar system, a railway (high-speed railway) system, a hotel system, a gas-water electric system, a bank system, an internet platform, etc., the communication agent middleware is an access software product for collecting data of a user terminal matched with the police information cloud system, and realizes configuration and management of the user terminal matched with the police information cloud system, and data receiving, storing and distributing functions, the communication agent middleware can also transmit data in sensing equipment, reconnaissance, micro-activity, social security and the like to the data layer.
The middle layer performs dimensionality reduction processing on data such as multiple sources based on public security business understanding, so that data modeling of dimensionalities such as personnel, cases, events, objects and places is achieved, namely, the data set with smaller data volume is obtained by classifying the full data acquired by the data layer according to business requirement types.
And the business layer is a value application for a target client based on data layer and middle layer encapsulation.
According to the police service information platform, the target data in the data layer are classified according to the service requirement type of the service layer through the middle layer, a data set with smaller data volume is obtained, the dimension reduction mechanism of the police service data is expanded, the data after dimension reduction can meet the requirements of different scenes in a targeted mode, and the police service efficiency is further improved.
In one possible example, the intermediate layer includes at least one of:
the unified identity module is used for screening corresponding data from the target data according to a first constraint condition to form a first data set, the first constraint condition is that the data reflects identity information of personnel, the identity information comprises real identity information, virtual identity information and electronic identity information, the real identity information comprises a real name, a work unit, a position and the like, the virtual identity information comprises information formed by a user name and a password which are successfully registered in various network virtual communities by the user and used for login with a certain identity, and the electronic identity refers to an identity which can realize authentication through a digital signature and has uniqueness and legality of the user identity;
the personnel file module is used for screening corresponding data from the target data according to a second constraint condition to form a second data set, wherein the second constraint condition is that the data reflects personnel information, and the personnel information comprises basic information, relatives, social relations, religion belief, case-involved information, interest characteristics and characteristics of personnel, wherein the case-involved information comprises case-involved time, place, time and the like, and the characteristics comprise appearance characteristics and character characteristics;
the case file module is used for screening corresponding data from the target data according to a third constraint condition to form a third data set, wherein the third constraint condition is that the data reflects case information, and the case information comprises basic information of cases, case handling units, case involved personnel, case involved articles, case involved places and associated alarm conditions;
the article file module is used for screening corresponding data from the target data according to a fourth constraint condition to form a fourth data set, wherein the fourth constraint condition is that the data reflects article information, and the article information comprises article identification, article name, article type, article characteristics, case-related information and article owner;
the place archive module is used for screening corresponding data from the target data according to a fifth constraint condition to form a fifth data set, wherein the fifth constraint condition is that the data reflects place information, and the place information comprises place categories, place names, place administrative partitions, place detailed addresses, place longitude and latitude, place accountants and contact ways of places;
the relationship archive module is used for screening corresponding data from the target data according to a sixth constraint condition to form a sixth data set, wherein the sixth constraint condition is data reflection relationship information, and the relationship information comprises relationships among people, relationships among people and objects and relationships among objects;
a staff trajectory module, configured to screen corresponding data from the target data according to a seventh constraint condition to form a seventh data set, where the seventh constraint condition is trajectory information corresponding to a staff whose data reflects a unified identity, and the staff trajectory information corresponding to the unified identity includes: people, time, place, event;
an article trajectory module, configured to screen corresponding data from the target data according to an eighth constraint condition to form an eighth data set, where the eighth constraint condition is that the data reflects trajectory information of an article, and the trajectory information of the article includes: item, time, place, event;
a monitoring entity list module, configured to screen corresponding data from the target data according to a ninth constraint condition to form a ninth data set, where the ninth constraint condition is that the data reflects a monitoring entity, and the monitoring entity includes all devices registered on the internet;
the economic archive module is used for screening corresponding data from the target data according to a tenth constraint condition to form a tenth data set, wherein the tenth constraint condition is that the data reflect economic information of personnel, and the economic information comprises shopping consumption, bank deposit, gas, water and electricity expenses;
the organization mechanism module is used for screening corresponding data from the target data according to an eleventh constraint condition to form an eleventh data set, wherein the eleventh constraint condition is a data reflection organization, and the organization mechanism comprises an administrative mechanism and an enterprise mechanism;
the group archive module is used for screening corresponding data from the target data according to a twelfth constraint condition to form a twelfth data set, wherein the twelfth constraint condition is a community of data reflecting personnel;
the Internet protocol IP address library module is used for screening corresponding data from the target data according to a thirteenth constraint condition to form a thirteenth data set, wherein the thirteenth constraint condition is that the data reflects the identification of people or objects, the IP addresses visited and the time;
the event archive module is used for screening corresponding data from the target data according to a fourteenth constraint condition to form a fourteenth data set, wherein the fourteenth constraint condition is that the data reflects relevant information of an event, and the relevant information of the event comprises an event identifier, an occurrence place and an event starting and stopping time;
and the address library module is used for screening corresponding data from the target data according to a fifteenth constraint condition to form a fifteenth data set, wherein the fifteenth constraint condition is that the data reflect addresses of individuals and groups with longitude and latitude.
In one possible example, the unified identity module comprises at least one of:
a real identity module, configured to screen data reflecting real identity information from the target data, and form a first subset of the first data set;
the virtual identity module is used for screening out data reflecting virtual identity information from the target data to form a second subset of the first data set;
and the electronic identity module is used for screening out data reflecting electronic identity information from the target data to form a third subset of the first data set.
For example, when the data acquisition device transmits data to a data layer in the police service information cloud platform, an intermediate layer in the police service information cloud platform may identify the data in the data layer, screen out data reflecting real identity information, form a first subset of the first data set, the intermediate layer in the police service information cloud platform may identify the data in the data layer, screen out data reflecting virtual identity information, form a second subset of the first data set, the intermediate layer in the police service information cloud platform may also identify the data in the data layer, screen out data reflecting electronic identity information, form a third subset of the first data set.
It should be noted that the unified identity module in the police intelligence cloud platform may further include at least one identity sub-module of another type, each identity sub-module in the at least one identity sub-module of another type corresponds to a specific constraint condition, each identity sub-module can identify data in the data layer, and screen out data reflecting information of a corresponding identity type according to the corresponding constraint condition to form another subset of the first data set, without specific limitation.
Therefore, in the example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different identity information constraint conditions to obtain a corresponding identity information data set, and the data is subjected to dimensionality reduction according to the identity information constraint conditions in a targeted manner, so that corresponding identity information can be acquired quickly when the business layer needs identity analysis for personnel.
In one possible example, the people profile module includes at least one of:
the yellow-related personnel file module is used for screening out data reflecting yellow-related personnel information from the target data to form a first subset of the second data set;
the virus-related personnel file module is used for screening out data reflecting the information of the virus-related personnel from the target data to form a second subset of the second data set;
a betting personnel file module for screening out data reflecting betting personnel information from the target data to form a third subset of the second data set;
the military personnel file module is used for screening out data reflecting military personnel information from the target data to form a fourth subset of the second data set;
and the removal related personnel archive module is used for screening out data reflecting information of removal related personnel from the target data to form a fifth subset of the second data set.
For example, when a public service system, such as a public security system, a court system, a relocation system, transmits data to a data layer in the police information cloud platform, an intermediate layer in the police information cloud platform can identify the data in the data layer, screen out data reflecting information of people involved in yellow color, form a first subset of the second data set, an intermediate layer in the police information cloud platform can identify the data in the data layer, screen out data reflecting information of people involved in yellow color, form a second subset of the second data set, an intermediate layer in the police information cloud platform can also identify the data in the data layer, screen out data reflecting information of people involved in gambling color, form a third subset of the second data set, an intermediate layer in the police information cloud platform can also identify the data in the data layer, screening out data reflecting military personnel information to form a fourth subset of the second data set, wherein an intermediate layer in the police service information cloud platform can also identify the data in the data layer, and screening out data reflecting the information of the military personnel to form a fifth subset of the second data set.
It should be noted that the staff archive module in the police intelligence cloud platform may further include at least one staff archive sub-module of another type, each of the staff archive sub-modules of the another type corresponds to a specific constraint condition, and each of the staff archive sub-modules can identify data in the data layer, and screen out data reflecting type information of the corresponding staff archive according to the corresponding constraint condition, so as to form another subset of the second data set, which is not specifically limited.
Therefore, in this example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different personnel information constraint conditions to obtain a corresponding personnel information data set, and the data is reduced in dimensionality according to the personnel information constraint conditions in a targeted manner, so that corresponding personnel information can be acquired quickly when management and control or other related functions for personnel are realized on the business layer.
In one possible example, the case archive module includes at least one of:
the yellow-related case archive module is used for screening out data reflecting yellow-related case information from the target data to form a first subset of the third data set;
the drug-related case archive module is used for screening out data reflecting the information of the drug-related cases from the target data to form a second subset of the third data set;
a betting case archive module for screening out data reflecting betting case information from the target data to form a third subset of the third data set;
the military-related case file module is used for screening out data reflecting military-related case information from the target data to form a fourth subset of the third data set;
and the case-related-to-be-removed archive module is used for screening out data reflecting the information of the case-related-to-be-removed from the target data to form a fifth subset of the third data set.
For example, when a public-duty system, such as a public security system, a court system, a relocation system, a military management system, transmits data to a data layer in the police information cloud platform, an intermediate layer in the police information cloud platform can identify the data in the data layer, screen out the data reflecting information about the yellow case, form a first subset of the third data set, the intermediate layer in the police information cloud platform can identify the data in the data layer, screen out the data reflecting information about the yellow case, form a second subset of the third data set, the intermediate layer in the police information cloud platform can also identify the data in the data layer, screen out the data reflecting information about the gambling case, form a third subset of the third data set, the intermediate layer in the police information cloud platform can also identify the data in the data layer, screening out data reflecting military affair information to form a fourth subset of the third data set, wherein the intermediate layer in the police affair information cloud platform can also identify the data in the data layer, and screening out data reflecting military affair information to form a fifth subset of the third data set.
It should be noted that the case archive module in the police intelligence cloud platform may further include at least one case archive sub-module of another type, each case archive sub-module in the case archive sub-module of another type corresponds to a specific constraint condition, each case archive sub-module can identify data in the data layer, and screen out data reflecting type information of the corresponding case archive according to the corresponding constraint condition, so as to form another subset of the third data set, which is not specifically limited.
Therefore, in the example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different case information constraint conditions to obtain a corresponding case information data set, and the dimension of the data is reduced in a targeted manner according to the case information constraint conditions, so that corresponding case information can be acquired quickly when the business layer realizes case analysis or other related functions.
In one possible example, the item profile module includes at least one of:
the drug archive module is used for screening out data reflecting drug information from the target data to form a first subset of the fourth data set;
the drug archive module is used for screening out data reflecting drug information from the target data to form a second subset of the fourth data set;
a firearm archive module for screening out data reflecting firearm information from the target data to form a third subset of the fourth data set;
and the demolition-related building module is used for screening out data reflecting building information to be demolished from the target data to form a fourth subset of the fourth data set.
For example, when a public-duty system, such as a public security system, a court system, a relocation system, a military management system, etc., transmits data to a data layer in the police information cloud platform, an intermediate layer in the police information cloud platform can identify the data in the data layer, screen out data reflecting drug information, form a first subset of the fourth data set, the intermediate layer in the police information cloud platform can identify the data in the data layer, screen out data reflecting drug information, form a second subset of the fourth data set, the intermediate layer in the police information cloud platform can also identify the data in the data layer, screen out data reflecting gun information, form a third subset of the fourth data set, the intermediate layer in the police information cloud platform can also identify the data in the data layer, and screening out data reflecting the information of the building to be removed to form a fourth subset of the fourth data set.
It should be noted that the article archive module in the police intelligence cloud platform may further include at least one article archive sub-module of another type, each article archive sub-module in the at least one article archive sub-module of another type corresponds to a specific constraint condition, and each article archive sub-module can identify data in the data layer, and screen out data reflecting information of the corresponding article archive type according to the corresponding constraint condition, to form another subset of the fourth data set, which is not specifically limited.
Therefore, in this example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different article information constraint conditions to obtain a corresponding article information data set, and the data is subjected to dimensionality reduction according to the article information constraint conditions in a targeted manner, so that when the business layer realizes processing or other related functions for articles, corresponding article information can be acquired quickly.
In one possible example, the venue profile module includes at least one of:
the yellow-related place archive module is used for screening out data reflecting yellow-related place information from the target data to form a first subset of the fifth data set;
the virus-related place archive module is used for screening out data reflecting the information of the virus-related place from the target data to form a second subset of the fifth data set;
and the gambling place file module is used for screening out data reflecting the gambling place information from the target data to form a third subset of the fifth data set.
For example, when a public-duty system, such as a public security system, a court system, etc., transmits data to a data layer in the police information cloud platform, an intermediate layer in the police information cloud platform may identify the data in the data layer, screen out data reflecting information of a place involved in yellow to form a first subset of the fifth data set, and an intermediate layer in the police information cloud platform may identify the data in the data layer, screen out data reflecting information of a place involved in yellow to form a second subset of the fifth data set, and an intermediate layer in the police information cloud platform may also identify the data in the data layer, screen out data reflecting information of a place involved in gambling to form a third subset of the fifth data set.
It should be noted that the place archive module in the police intelligence cloud platform may further include at least one place archive sub-module of another type, each place archive sub-module in the place archive sub-module of another type corresponds to a specific constraint condition, and each place archive sub-module can identify data in the data layer, and screen out data reflecting information of a corresponding place archive type according to the corresponding constraint condition, to form another subset of the fifth data set, which is not specifically limited.
Therefore, in this example, the place archive module in the police information cloud platform can screen out the data acquired by the data layer in the police information cloud platform according to different place information constraint conditions to obtain a corresponding place information data set, and perform dimensionality reduction on the data according to the place information constraint conditions in a targeted manner, so that corresponding place information can be acquired quickly when the business layer realizes analysis or other related functions for places.
In one possible example, the relationship profile module includes at least one of:
the personnel relationship archive module is used for screening out data reflecting personnel relationship information from the target data to form a first subset of the sixth data set;
an item relationship archive module, configured to screen data reflecting item relationship information from the target data to form a second subset of the sixth data set;
and the personnel and article relation archive module is used for screening out data reflecting the relation information of the personnel and articles from the target data to form a third subset of the sixth data set.
Therefore, in this example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different relationship information constraint conditions to obtain a corresponding relationship information data set, and the data is reduced in dimension in a targeted manner according to the relationship information constraint conditions, so that corresponding relationship information can be acquired quickly when the business layer implements case analysis or other related functions.
In one possible example, the economic profile module includes at least one of:
the shopping consumption archive module is used for screening out data reflecting shopping consumption information from the target data to form a first subset of the tenth data set;
the bank deposit file module is used for screening out data reflecting bank deposit information from the target data to form a second subset of the tenth data set;
and the life payment archive module is used for screening out data reflecting life payment information from the target data to form a third subset of the tenth data set.
For example, when various platforms with payment functions, such as a treasure collector, a treasure payment, a WeChat, a bank, and the like, transmit data to a data layer in the police affair information cloud platform, an intermediate layer in the police affair information cloud platform can identify the data in the data layer, reflect data of shopping consumption information, form a first subset of the tenth data set, and an intermediate layer in the police affair information cloud platform can identify the data in the data layer, screen out the data reflecting bank deposit information, form a second subset of the tenth data set, and an intermediate layer in the police affair information cloud platform can also identify the data in the data layer, screen out the data reflecting life payment information, and form a third subset of the tenth data set.
It should be noted that the economic archive module in the police intelligence cloud platform may further include at least one economic archive sub-module of another type, each economic archive sub-module in the economic archive sub-module of another type corresponds to a specific constraint condition, each economic archive sub-module can identify data in the data layer, and screen out data reflecting type information of the corresponding economic archive according to the corresponding constraint condition to form another subset of the tenth data set, which is not specifically limited.
Therefore, in this example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different economic information constraint conditions to obtain a corresponding economic information data set, and the data is subjected to dimensionality reduction according to the economic information constraint conditions in a targeted manner, so that when the business layer is used for dealing with economic disputes or other related functions, corresponding economic information can be acquired quickly.
In one possible example, the event profile module includes at least one of:
the yellow-related event archive module is used for screening out data reflecting yellow-related event information from the target data to form a first subset of the fourteenth data set;
the system comprises a virus-related event archive module, a data acquisition module, a data analysis module and a data analysis module, wherein the virus-related event archive module is used for screening out data reflecting virus-related event information from the target data to form a second subset of the fourteenth data set;
a betting event archive module for screening out data reflecting betting event information from the target data to form a third subset of the fourteenth data set;
the military-related file module is used for screening out data reflecting military-related information from the target data to form a fourth subset of the fourteenth data set;
and the migration event archive module is used for screening out data reflecting information of the migration event from the target data to form a fifth subset of the fourteenth data set.
It should be noted that the event archive module in the police intelligence cloud platform may further include at least one event archive sub-module of another type, each event archive sub-module in the event archive sub-module of another type corresponds to a specific constraint condition, and each event archive sub-module can identify data in the data layer, and screen out data reflecting information of the corresponding event archive type according to the corresponding constraint condition to form another subset of the fourteenth data set, which is not specifically limited.
In this example, the intermediate layer in the police intelligence cloud platform can screen out the data acquired by the data layer in the police intelligence cloud platform according to different event information constraint conditions to obtain a corresponding event information data set, and the dimension of the data is reduced in a targeted manner according to the event information constraint conditions, so that corresponding event information can be acquired quickly when the business layer implements analysis or other related functions for events.
Referring to fig. 2, fig. 2 is a schematic diagram of a hardware structure of a police intelligence cloud platform according to an embodiment of the present application. As shown in fig. 2, the police intelligence cloud platform includes a client and a server. The client may be an electronic device with communication capability, and specifically may include various handheld devices, vehicle-mounted devices, wearable devices, computer devices or other processing devices connected to a wireless modem with wireless communication function, and various forms of User Equipment (UE), Mobile Station (MS), terminal device (terminal device), and the like; for example, the client may be a mobile police terminal, a smart phone, a tablet computer, an electronic book, or other electronic devices capable of running an application program. The server may include a block link point server, a legacy server, a large storage system, a desktop computer, a laptop computer, a tablet computer, a palmtop computer, a smart phone, a portable digital player, a smart watch, a smart bracelet, and the like.
The server is provided with a data layer and an intermediate layer of the police service information platform. The data layer may obtain target data, where the target data may be data obtained and obtained from a user equipment and/or an application platform through middleware. That is, the middleware may include a data connector middleware and/or a communication agent middleware, the data connector middleware can be oriented to a data access product of multiple data sources (third party platform), and can implement access, cleaning and conversion of multiple-source data, and enter the data into a data layer, correspondingly, the data layer includes an original library and a standard library, the data connector middleware accesses the data into the original library of the data layer to construct the standard library, the third party platform includes an internet bar system, a railway (high-speed railway) system, a hotel system, a gas-water-electricity system, a bank system, an internet platform, and the like, the communication agent middleware is an access software product oriented to the sensing equipment to acquire data, and implements configuration and management of the sensing equipment, and functions of data receiving, storage and distribution, and the communication agent middleware can also communicate and survey, Data in micro-campaigns, social health, etc. is transferred to the data layer. The middle layer performs dimensionality reduction processing on data such as multiple sources based on public security service understanding, namely dimensionality reduction is performed on full data in the data layer to obtain multiple data sets according to the requirement of service layer functions, so that data modeling of dimensionalities such as personnel, cases, events, things and places is achieved, namely the full data obtained by the data layer is classified according to service requirement types, and the data sets with smaller data quantity are obtained.
The client is provided with a service layer of the police service information platform, and the client realizes a preset police service function through the service layer. The service layer is a value application for a target client packaged by the server, and comprises a plurality of function modules, and is used for realizing a plurality of preset police service functions according to data subjected to dimensionality reduction in the police service information platform intermediate layer in the server, wherein the police service functions specifically comprise foreknowledge search, figure portraits, situation management and control, relationship analysis, study and judgment analysis, image investigation, map study and judgment, comprehensive tracks, collective operation, study and judgment tool sets, deployment and control management, early warning management, management and control, high-risk personnel management and control and file management, different functions may correspond to different modules, in addition, algorithms for realizing the preset police service functions corresponding to the function modules in the service layer are preset in the client, and the algorithms for realizing the preset police service functions comprise: organization architecture, user management, role management, rights management, log management, message management, configuration management, data dictionaries, data lineage, and the like, which can be unified in a module.
Here, the middle layer of the server includes a plurality of data sets, each of the plurality of data sets corresponds to a specific data filtering condition, and the middle layer of the server screens out corresponding data from the total data of the data layer of the server to the corresponding data set according to the specific data filtering condition corresponding to each of the plurality of data sets. Each function in each service layer in the client corresponds to at least one data set in the plurality of data sets in the middle layer of the server, when the client realizes a certain preset police service function, the client can obtain target data from the data set of the middle layer of the server corresponding to the preset police service function in a targeted manner, and then an algorithm corresponding to the preset police service function processes the target data to realize the preset police service function.
For example, the raw data of the police affair information cloud platform is data collected by a third-party application platform, such as a hotel information entry system, which is not matched with the police affair information cloud platform, and data transmission can be performed through a data connection middleware, at this time, if the data entry system is not matched with the police affair information cloud platform, information collected by the hotel information entry system needs to be cleaned and converted through a data connector middleware to obtain standard data matched with the police affair information cloud platform, and then, corresponding data is screened from the standard data of the data layer of the server to a corresponding data set through an intermediate layer of the server according to a specific data screening condition corresponding to each data set in a plurality of data sets.
For example, the raw data of the police intelligence cloud platform is data collected by a user terminal matched with the police intelligence cloud platform, such as data collected by a social security perception device, the social security perception device is matched with the police service information cloud platform, data transmission can be carried out through a communication agent middleware, at the moment, a data input system is matched with the police service information cloud platform, the hotel information input system does not need to be cleaned and converted through the middleware of the data connector, the data collected by the social security perception equipment is standard data matched with the police information cloud platform, and then, and screening corresponding data from the standard data of the data layer of the server to the corresponding data set through the middle layer of the server according to the specific data screening condition corresponding to each data set in the plurality of data sets.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A police affair information cloud platform is characterized by comprising a data layer, a middle layer and a business layer, wherein,
the data layer is used for acquiring target data;
the intermediate layer is used for performing data dimension reduction processing on the target data to obtain a plurality of data sets;
and the service layer is used for realizing a preset police service function according to the plurality of data sets.
2. The police intelligence cloud platform of claim 1, wherein the middle layer comprises at least one of:
the unified identity module is used for screening corresponding data from the target data according to a first constraint condition to form a first data set, wherein the first constraint condition is that the data reflects identity information of personnel, and the identity information comprises real identity information, virtual identity information and electronic identity information;
the personnel file module is used for screening corresponding data from the target data according to a second constraint condition to form a second data set, wherein the second constraint condition is that the data reflects personnel information, and the personnel information comprises basic information, relatives, social relations, religions, case-involved information, interest specialties and characteristics of personnel;
the case file module is used for screening corresponding data from the target data according to a third constraint condition to form a third data set, wherein the third constraint condition is that the data reflects case information, and the case information comprises basic information of cases, case handling units, case involved personnel, case involved articles, case involved places and associated alarm conditions;
the article file module is used for screening corresponding data from the target data according to a fourth constraint condition to form a fourth data set, wherein the fourth constraint condition is that the data reflects article information, and the article information comprises article identification, article name, article type, article characteristics, case-related information and article owner;
the place archive module is used for screening corresponding data from the target data according to a fifth constraint condition to form a fifth data set, wherein the fifth constraint condition is that the data reflects place information, and the place information comprises place categories, place names, place administrative partitions, place detailed addresses, place longitude and latitude, place accountants and contact ways of places;
the relationship archive module is used for screening corresponding data from the target data according to a sixth constraint condition to form a sixth data set, wherein the sixth constraint condition is data reflection relationship information, and the relationship information comprises relationships among people, relationships among people and objects and relationships among objects;
a staff trajectory module, configured to screen corresponding data from the target data according to a seventh constraint condition to form a seventh data set, where the seventh constraint condition is trajectory information corresponding to a staff whose data reflects a unified identity, and the staff trajectory information corresponding to the unified identity includes: people, time, place, event;
an article trajectory module, configured to screen corresponding data from the target data according to an eighth constraint condition to form an eighth data set, where the eighth constraint condition is that the data reflects trajectory information of an article, and the trajectory information of the article includes: item, time, place, event;
a monitoring entity list module, configured to screen corresponding data from the target data according to a ninth constraint condition to form a ninth data set, where the ninth constraint condition is that the data reflects a monitoring entity, and the monitoring entity includes all devices registered on the internet;
the economic archive module is used for screening corresponding data from the target data according to a tenth constraint condition to form a tenth data set, wherein the tenth constraint condition is that the data reflect economic information of personnel, and the economic information comprises shopping consumption, bank deposit, gas, water and electricity expenses;
the organization mechanism module is used for screening corresponding data from the target data according to an eleventh constraint condition to form an eleventh data set, wherein the eleventh constraint condition is a data reflection organization, and the organization mechanism comprises an administrative mechanism and an enterprise mechanism;
the group archive module is used for screening corresponding data from the target data according to a twelfth constraint condition to form a twelfth data set, wherein the twelfth constraint condition is a community of data reflecting personnel;
the Internet protocol IP address library module is used for screening corresponding data from the target data according to a thirteenth constraint condition to form a thirteenth data set, wherein the thirteenth constraint condition is that the data reflects the identification of people or objects, the IP addresses visited and the time;
the event archive module is used for screening corresponding data from the target data according to a fourteenth constraint condition to form a fourteenth data set, wherein the fourteenth constraint condition is that the data reflects relevant information of an event, and the relevant information of the event comprises an event identifier, an occurrence place and an event starting and stopping time;
and the address library module is used for screening corresponding data from the target data according to a fifteenth constraint condition to form a fifteenth data set, wherein the fifteenth constraint condition is that the data reflect addresses of individuals and groups with longitude and latitude.
3. The police intelligence cloud platform of claim 2, wherein the unified identity module comprises at least one of:
a real identity module, configured to screen data reflecting real identity information from the target data, and form a first subset of the first data set;
the virtual identity module is used for screening out data reflecting virtual identity information from the target data to form a second subset of the first data set;
and the electronic identity module is used for screening out data reflecting electronic identity information from the target data to form a third subset of the first data set.
4. The police intelligence cloud platform of claim 2, wherein the personnel profile module comprises at least one of:
the yellow-related personnel file module is used for screening out data reflecting yellow-related personnel information from the target data to form a first subset of the second data set;
the virus-related personnel file module is used for screening out data reflecting the information of the virus-related personnel from the target data to form a second subset of the second data set;
a betting personnel file module for screening out data reflecting betting personnel information from the target data to form a third subset of the second data set;
the military personnel file module is used for screening out data reflecting military personnel information from the target data to form a fourth subset of the second data set;
and the removal related personnel archive module is used for screening out data reflecting information of removal related personnel from the target data to form a fifth subset of the second data set.
5. The police intelligence cloud platform of claim 2, wherein the case profile module comprises at least one of:
the yellow-related case archive module is used for screening out data reflecting yellow-related case information from the target data to form a first subset of the third data set;
the drug-related case archive module is used for screening out data reflecting the information of the drug-related cases from the target data to form a second subset of the third data set;
a betting case archive module for screening out data reflecting betting case information from the target data to form a third subset of the third data set;
the military-related case file module is used for screening out data reflecting military-related case information from the target data to form a fourth subset of the third data set;
and the case-related-to-be-removed archive module is used for screening out data reflecting the information of the case-related-to-be-removed from the target data to form a fifth subset of the third data set.
6. The police intelligence cloud platform of claim 2, wherein the item profile module comprises at least one of:
the drug archive module is used for screening out data reflecting drug information from the target data to form a first subset of the fourth data set;
the drug archive module is used for screening out data reflecting drug information from the target data to form a second subset of the fourth data set;
a firearm archive module for screening out data reflecting firearm information from the target data to form a third subset of the fourth data set;
and the demolition-related building module is used for screening out data reflecting building information to be demolished from the target data to form a fourth subset of the fourth data set.
7. The police intelligence cloud platform of claim 2, wherein the venue profile module comprises at least one of:
the yellow-related place archive module is used for screening out data reflecting yellow-related place information from the target data to form a first subset of the fifth data set;
the virus-related place archive module is used for screening out data reflecting the information of the virus-related place from the target data to form a second subset of the fifth data set;
and the gambling place file module is used for screening out data reflecting the gambling place information from the target data to form a third subset of the fifth data set.
8. The police intelligence cloud platform of claim 2, wherein the relationship profile module comprises at least one of:
the personnel relationship archive module is used for screening out data reflecting personnel relationship information from the target data to form a first subset of the sixth data set;
an item relationship archive module, configured to screen data reflecting item relationship information from the target data to form a second subset of the sixth data set;
and the personnel and article relation archive module is used for screening out data reflecting the relation information of the personnel and articles from the target data to form a third subset of the sixth data set.
9. The police intelligence cloud platform of claim 2, wherein the economic profile module comprises at least one of:
the shopping consumption archive module is used for screening out data reflecting shopping consumption information from the target data to form a first subset of the tenth data set;
the bank deposit file module is used for screening out data reflecting bank deposit information from the target data to form a second subset of the tenth data set;
and the life payment archive module is used for screening out data reflecting life payment information from the target data to form a third subset of the tenth data set.
10. The police intelligence cloud platform of claim 2, wherein the event profile module comprises at least one of:
the yellow-related event archive module is used for screening out data reflecting yellow-related event information from the target data to form a first subset of the fourteenth data set;
the system comprises a virus-related event archive module, a data acquisition module, a data analysis module and a data analysis module, wherein the virus-related event archive module is used for screening out data reflecting virus-related event information from the target data to form a second subset of the fourteenth data set;
a betting event archive module for screening out data reflecting betting event information from the target data to form a third subset of the fourteenth data set;
the military-related file module is used for screening out data reflecting military-related information from the target data to form a fourth subset of the fourteenth data set;
and the migration event archive module is used for screening out data reflecting information of the migration event from the target data to form a fifth subset of the fourteenth data set.
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