CN111385143A - Police affairs information cloud platform - Google Patents
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Abstract
The application discloses a police service information cloud platform, which comprises a data connector middleware, a communication agent middleware, a data layer, a middle layer and a service layer, wherein the data connector middleware is used for connecting the data layer and a third-party platform and transmitting first user data acquired by the third-party platform to the data layer; the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting second user data acquired by the sensing equipment to the data layer; the data layer is used for carrying out data standardization processing on user data to obtain standardized data; the intermediate layer is used for performing data dimension reduction processing on the standardized 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. Through the police affair information cloud platform, police affair efficiency can be improved, and new challenges brought by new situation are effectively responded to by public security.
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.
Disclosure of Invention
The embodiment of the application provides a police affair information cloud platform, transversely serves many police categories, vertically serves organizations at all levels, after reducing the dimension to data through middleware product, intermediate level, utilizes artificial intelligence technique to promote the ability in aspects such as risk situation perception, prediction early warning, accurate striking, dynamic management and control comprehensively, promotes police affair efficiency, helps public security effectively to deal with the new challenge that new situation brought.
In a first aspect, the embodiment of the application provides a police intelligence cloud platform, which comprises data connector middleware, communication agent middleware, a data layer, an intermediate layer and a service layer,
the data connector middleware is used for connecting the data layer and a third party platform and transmitting the first user data acquired by the third party platform to the data layer;
the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting second user data acquired by the sensing equipment to the data layer;
the data layer is used for carrying out data standardization processing on user data to obtain standardized data;
the intermediate layer is used for performing data dimension reduction processing on the standardized 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 service layer includes at least one of:
the first-knowledge searching module is used for providing the full-text retrieval capability for the data layer;
the figure image module is used for describing figures according to the police service through basic attributes or labels, motion tracks, economic conditions and behavior interests of people to construct figure images;
the situation management and control module is used for carrying out statistical analysis, comparative analysis and trend prediction according to the situation of people, the situation of objects and the situation of places;
the relation analysis module is used for carrying out relation analysis through six dimensions of blood margin, school margin, geography margin, accident margin, customer margin and random margin according to the police service;
the studying and judging analysis module is used for providing analysis of the same row, collision and association based on multiple data sources and carrying out data set operation through a user-defined rule;
the image detection module is used for providing a function of searching images by images;
the map studying and judging module is used for providing two-dimensional studying and judging based on multi-source data sources and taking a map as a support;
the comprehensive track module is used for presenting a multi-dimensional track according to the multi-source data source;
the set operation module is used for providing a user-defined rule and calculating the rule through a rule engine;
the study and judgment tool set module is used for providing a specialized analysis tool for case serial-parallel, call bill analysis and tourism analysis;
the control deployment management module is used for controlling the determined suspect and realizing early warning and notification through the early warning management module;
the early warning management module is used for receiving, processing, forwarding and pushing the discovery of each module of the platform;
the management and control module is used for providing rule customization service according to data standardization and the blood relationship of the data, and realizing management and control, early warning and prediction of various personnel, places and articles;
the high-risk personnel management and control module is used for managing and controlling high-risk personnel;
and the file management module is used for managing basic files of personnel, places, articles, events and cases.
Optionally, the police intelligence cloud platform further includes:
the basic service module is used for providing an algorithm for realizing a preset police service function for each functional module of the service layer;
the algorithm for realizing the preset police service function comprises the following steps: organization architecture, user management, role management, rights management, log management, message management, configuration management, data dictionary, data lineage.
Optionally, the data layer is specifically configured to perform data normalization processing on user data through a data dictionary, data resource registration, and a data consanguinity relationship, so as to obtain the normalized data.
Optionally, the data layer includes:
an origin repository for storing the first user data and/or the second user data;
a standard library for storing the normalized data;
a data interface for transmitting the standardized data stored in the standard library to the middle layer.
Optionally, the data layer further includes: a view library for storing video and/or image data in the standardized data.
Optionally, the data layer further includes: a private repository to store third user data, the third user data referring to user data that is transmitted to the data layer through the data connector middleware or the communication agent middleware.
Optionally, the police intelligence cloud platform further includes: and the middleware is used for providing an algorithm for data standardization for the data layer.
Optionally, the middleware comprises:
the data asset module is used for displaying the data of the standard library;
the uniform identity middleware is used for providing an algorithm for classifying the user data according to the identity for the data layer;
and the view library middleware is used for providing an algorithm for carrying out data standardization on the video and/or image data for the data layer.
Optionally, the intermediate layer is specifically configured to perform data dimension reduction processing according to at least one of the following dimensions to obtain a plurality of data sets: unifying identity, personnel files, case files, item files, location files, relationship files, personnel tracks, item tracks, monitoring entity lists, economic files, organizations, group files, IP address repositories, event files, address repositories.
The police service information platform comprises a data connector middleware, a communication agent middleware, a data layer, an intermediate layer and a service layer, wherein the data connector middleware is used for connecting the data layer and a third-party platform and transmitting first user data acquired by the third-party platform to the data layer; the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting second user data acquired by the sensing equipment to the data layer; the data layer is used for carrying out data standardization processing on user data to obtain standardized data; the intermediate layer is used for performing data dimension reduction processing on the standardized 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 transversely serves multiple police species, longitudinally serves organizations at all levels, reduces the dimensions of data through middleware products and intermediate layers, comprehensively improves the capacities in aspects of risk situation perception, prediction early warning, accurate striking, dynamic management and control and the like by utilizing an artificial intelligence technology, improves the police service efficiency, and helps public security to effectively deal with new challenges brought by new situations.
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.
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 communication system comprises a data connector middleware, a communication agent middleware, a data layer, an intermediate layer and a service layer, wherein the data connector middleware is used for connecting the data layer and a third party platform and transmitting first user data acquired by the third party platform to the data layer; the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting second user data acquired by the sensing equipment to the data layer; the data layer is used for carrying out data standardization processing on user data to obtain standardized data; the intermediate layer is used for performing data dimension reduction processing on the standardized 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 middleware of the data connector is a data access product facing multiple data sources (a third-party platform), can realize access, cleaning and conversion of multi-source data, and enables the data to enter a data layer. Specifically, the data layer comprises an original library and a standard library, and the data connector middleware accesses data into the original library of the data layer to construct the standard library; the third-party platform comprises an internet bar system, a railway (high-speed rail) system, a hotel system, a gas-water electric system, a bank system, an internet platform and the like.
The communication agent middleware is an access software product for collecting data facing the sensing equipment, and realizes the functions of configuration and management of the sensing equipment and data receiving, storage and distribution; the communication proxy middleware may also transmit data in reconnaissance, micro-activity, social security, Mobile Police Platform (PMP), etc. to the data layer.
The data layer can layer data, namely an original library and a standard library which can be established through the middleware of the data connector.
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 'human and land things' is achieved, namely, the whole data in the labeling library is classified according to business requirement types, and the number with smaller data volume is obtained.
And the business layer is a value application for a target client based on data layer and middle layer encapsulation.
In addition, it should be noted that the service layer is disposed in a client device, and the data connector middleware, the communication agent middleware, the data layer, and the middle layer are disposed in a server.
Therefore, the police service information platform provided by the embodiment of the application transversely serves multiple police species, longitudinally serves organizations at all levels, reduces the dimensions of data through middleware products and intermediate layers, comprehensively improves the capabilities of risk situation perception, prediction early warning, accurate striking, dynamic control and the like by using an artificial intelligence technology, improves the police service efficiency, and helps public security to effectively deal with new challenges brought by new situations.
In one possible example, the business layer includes at least one of:
the first-known search module is used for providing the full-text retrieval capability for the data layer, wherein the first-known search module is specifically used for providing the full-text retrieval capability for a standard library and a private library of the data layer;
the character image module is used for describing characters through basic attributes or labels, motion tracks, economic conditions and behavior interests of people according to police service to construct character images, wherein the motion tracks comprise frequent places, residence places and working places, and the economic conditions comprise credit;
the situation management and control module is used for carrying out statistical analysis, comparative analysis and trend prediction according to the situation of people, the situation of objects and the situation of places to realize the purposes of early warning and prediction;
the relation analysis module is used for carrying out relation analysis through six dimensions of blood margin, school margin, geography margin, accident margin, customer margin and random margin according to the police service;
the study and judgment analysis module is used for providing analysis of the same row, collision and association based on multiple data sources, performing data set operation through a user-defined rule and finding a target user;
the image detection module is used for providing an image searching function by an image, wherein the image detection module is specifically used for searching according to a human face or human face characteristics or human behavior characteristics and vehicle or vehicle characteristics;
the map studying and judging module is used for providing two-dimensional studying and judging based on multi-source data sources and taking a map as a support;
the comprehensive track module is used for presenting a multi-dimensional track according to the multi-source data source;
the set operation module is used for providing a user-defined rule, and calculating the rule through a rule engine to find a target user;
the study and judgment tool set module is used for providing a specialized analysis tool for case serial-parallel, call bill analysis and tourism analysis;
the control deployment management module is used for controlling the determined suspect and realizing early warning and notification through the early warning management module;
the early warning management module is used for receiving, processing, forwarding and pushing the discovery of each module of the platform, wherein the early warning has two pushing modes of a mobile terminal and a PC terminal;
the management and control module is used for providing rule customization service according to data standardization and the blood relationship of data, and realizing management and control, early warning and prediction of various personnel, places and articles, wherein the management and control module comprises a personnel management and control module, a place management and control module and an article management and control module;
the high-risk personnel management and control module is used for managing and controlling high-risk personnel;
and the file management module is used for managing basic files of personnel, places, articles, events and cases.
In one possible example, the police intelligence cloud platform further comprises: the basic service module is used for providing an algorithm for realizing a preset police service function for each functional module of the service layer; the algorithm for realizing the preset police service function comprises the following steps: organization architecture, user management, role management, rights management, log management, message management, configuration management, data dictionary, data lineage.
Wherein, it can be understood that the basic service is a software package of each function module in the service layer, and provides algorithm implementation of each function of the service layer; the basic service is arranged in the client equipment at the same side of the business layer.
In a possible example, the data layer is specifically configured to perform data normalization processing on user data through a data dictionary, data resource registration, and a data relationship, so as to obtain the normalized data.
The method comprises the steps of establishing a data dictionary standard through a data dictionary, and realizing unified management of standardized data; through data resource registration, each data resource represents a table structure stored in a database, and a standardized data structure is established by using a data dictionary; the data standardization and the data standardization are realized in a data layer, the data consanguinity relation is established through a data dictionary, the dimensionality of big data is reduced, and then a standard library of data storage is established through the data dictionary, the data resource registration and the data consanguinity relation, so that the data of a client is standardized, the purposes of data cleaning and conversion are achieved, and standardized services are provided for upper-layer services.
In one possible example, the data layer includes: an origin repository for storing the first user data and/or the second user data; a standard library for storing the normalized data; a data interface for transmitting the standardized data stored in the standard library to the middle layer.
In one possible example, the data layer further comprises: a view library for storing video and/or image data in the standardized data.
In one possible example, the data layer further comprises: a private repository to store third user data, the third user data referring to user data that is transmitted to the data layer through the data connector middleware or the communication agent middleware.
It is to be noted that the private repository is used for storing unstructured data, i.e. data other than the first user data and the second user information, such as user data provided by citizens themselves.
With respect to private libraries, data is not entered through data connectors nor through communication agents, but rather is imported by the police officer, such as a police station. Specifically, the police intelligence cloud platform has a preset function, namely a user uploads a data table, and then the data enters a private library for storage. Private and public repositories are parallel, so called private because the vast amount of data gathered by folks is unverified, which can be confusing if you add to a public repository without authorization.
In one possible example, the police intelligence cloud platform further comprises: and the middleware is used for providing an algorithm for data standardization for the data layer.
The middleware can cooperate with the data layer service to help data standardization and provide an algorithm implementation of data standardization, and is arranged on the server side.
In one possible example, the middleware includes: the data asset module is used for displaying the data of the standard library; the uniform identity middleware is used for providing an algorithm for classifying the user data according to the identity for the data layer; and the view library middleware is used for providing an algorithm for carrying out data standardization on the video and/or image data for the data layer.
In a possible example, the intermediate layer is specifically configured to perform data dimension reduction processing according to at least one of the following dimensions to obtain a plurality of data sets: unifying identity, personnel files, case files, item files, location files, relationship files, personnel tracks, item tracks, monitoring entity lists, economic files, organizations, group files, IP address repositories, event files, address repositories.
In one possible example:
the unified identity includes: real identity information, virtual identity information, electronic identity information;
the personnel file comprises: the system comprises personnel basic information, a relationship of relatives, a social relationship, case-involved information and interest specialties, wherein the personnel basic information comprises an identity card, a mobile phone number and a mobile phone card code of a personnel;
the case library comprises: case basic information, case handling units, case involved personnel, case involved articles, case involved places and related police conditions;
the item archive comprises: article identification, article name, article type, article characteristics, case-related information of the article, article owner;
the site profile includes: the method comprises the following steps of (1) site category, site name, site administrative division, site detailed address, site longitude and latitude, and contact ways of site responsible persons and sites;
the relationship profile includes: mining the relationship among people, objects and the relationship between the people and the objects;
the person trajectory refers to a person trajectory profile of the unified identity dimension, comprising: people, time, place, event;
the item track comprises: vehicles, time, place and event, wherein the vehicles comprise buses and taxis;
the monitoring entity list refers to a list of all devices registered on the internet;
the economic archives refer to economic figures related to people, and include: shopping consumption, bank deposits, gas, water and electricity costs;
the organization mechanism includes: administrative institutions, enterprise institutions;
the group profile refers to a profile of a community of individuals;
the IP address library comprises: identification of the person or item, IP address visited, and time;
the event profile includes: event identification, occurrence place and event start-stop time;
the address library refers to an address library of individuals and groups with longitude and latitude.
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 an intermediate layer, a data layer, a middleware, a data connector middleware and a communication agent middleware of the police service information platform. The data connector middleware is used for connecting the data layer and a third party platform and transmitting the first user data acquired by the third party platform to the data layer. And the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting the second user data acquired by the sensing equipment to the data layer. The data layer is configured to perform data standardization processing on user data to obtain standardized data, and the data layer specifically includes: an origin repository for storing the first user data and/or the second user data; a standard library for storing the normalized data; a data interface for transmitting the standardized data stored in the standard library to the middle layer. The middle layer is used for performing data dimension reduction processing on the standardized data to obtain a plurality of data sets, wherein the plurality of data sets specifically comprise unified identities, personnel files, case files, article files, place files, relationship files, personnel tracks, article tracks, monitoring entity lists, economic files, organizations, group files, IP address libraries, event files and address libraries. The middleware is configured to provide an algorithm for data normalization for the data layer, and the middleware specifically includes: the data asset module is used for displaying the data of the standard library; the uniform identity middleware is used for providing an algorithm for classifying the user data according to the identity for the data layer; and the view library middleware is used for providing an algorithm for carrying out data standardization on the video and/or image data for the data layer.
The client is provided with a service layer and a basic service of the police service information platform, and the client realizes a preset police service function through the service layer and the basic service. The business layer is a value application for a target client packaged by the server, and comprises a plurality of functional modules for realizing a plurality of preset police service functions, and specifically comprises a priori search module, a figure portrait module, a situation management and control module, a relation analysis module, a study and judgment analysis module, an image investigation module, a map study and judgment module, a comprehensive track module, a set operation module, a study and judgment tool set module, a distribution and control management module, an early warning management module, a management and control module, a high-risk personnel management and control module and a file management module. The basic service module is configured to provide an algorithm for implementing a preset police service function for each function module of the service layer, where the algorithm for implementing the preset police service function includes: organization architecture, user management, role management, rights management, log management, message management, configuration management, data dictionary, data lineage.
The method includes the steps that each function module in a service layer in a client has a first corresponding relationship with each algorithm in a basic service module, each function module in the service layer in the client has a second corresponding relationship with each data set in an intermediate layer in a server, when the client achieves a preset police service function, the client obtains the algorithm from the basic service module according to the second corresponding relationship to process target user data so as to achieve the preset police service function, and the data of the target user is obtained from the intermediate layer of the server or the data of the target user according to the first corresponding relationship.
For example, in a specific personnel management and control application scenario, it is assumed that police personnel acquire the most basic information of a target user, such as a name and an identification number, and need to confirm whether the target user needs to perform personnel management and control. Police officers input names and identification numbers of target users in a staff management and control module of a client, the staff management and control module acquires data of the target users from corresponding data sets (such as staff archives, staff tracks and case libraries) in an intermediate layer according to second corresponding relations with the data sets in the intermediate layer, then the intermediate layer transmits the acquired data of the target users to a staff management and control module of a business layer of the client, the staff management and control module acquires corresponding algorithms (such as user management and authority management) from a basic service module according to the first corresponding relations, and then the acquired algorithms are adopted to study and judge the target users according to the acquired data of the target users to determine whether the target users need to be managed and controlled.
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 affairs information cloud platform is characterized by comprising a data connector middleware, a communication agent middleware, a data layer, a middle layer and a service layer,
the data connector middleware is used for connecting the data layer and a third party platform and transmitting the first user data acquired by the third party platform to the data layer;
the communication agent middleware is used for connecting the data layer and the sensing equipment and transmitting second user data acquired by the sensing equipment to the data layer;
the data layer is used for carrying out data standardization processing on user data to obtain standardized data;
the intermediate layer is used for performing data dimension reduction processing on the standardized 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 business layer comprises at least one of:
the first-knowledge searching module is used for providing the full-text retrieval capability for the data layer;
the figure image module is used for describing figures according to the police service through basic attributes or labels, motion tracks, economic conditions and behavior interests of people to construct figure images;
the situation management and control module is used for carrying out statistical analysis, comparative analysis and trend prediction according to the situation of people, the situation of objects and the situation of places;
the relation analysis module is used for carrying out relation analysis through six dimensions of blood margin, school margin, geography margin, accident margin, customer margin and random margin according to the police service;
the studying and judging analysis module is used for providing analysis of the same row, collision and association based on multiple data sources and carrying out data set operation through a user-defined rule;
the image detection module is used for providing a function of searching images by images;
the map studying and judging module is used for providing two-dimensional studying and judging based on multi-source data sources and taking a map as a support;
the comprehensive track module is used for presenting a multi-dimensional track according to the multi-source data source;
the set operation module is used for providing a user-defined rule and calculating the rule through a rule engine;
the study and judgment tool set module is used for providing a specialized analysis tool for case serial-parallel, call bill analysis and tourism analysis;
the control deployment management module is used for controlling the determined suspect and realizing early warning and notification through the early warning management module;
the early warning management module is used for receiving, processing, forwarding and pushing the discovery of each module of the platform;
the management and control module is used for providing rule customization service according to data standardization and the blood relationship of the data, and realizing management and control, early warning and prediction of various personnel, places and articles;
the high-risk personnel management and control module is used for managing and controlling high-risk personnel;
and the file management module is used for managing basic files of personnel, places, articles, events and cases.
3. The police intelligence cloud platform of claim 2, further comprising:
the basic service module is used for providing an algorithm for realizing a preset police service function for each functional module of the service layer;
the algorithm for realizing the preset police service function comprises the following steps: organization architecture, user management, role management, rights management, log management, message management, configuration management, data dictionary, data lineage.
4. The police intelligence cloud platform of claim 1, wherein the data layer is specifically configured to perform data standardization processing on user data through a data dictionary, data resource registration, and data consanguinity relationship, so as to obtain the standardized data.
5. The police intelligence cloud platform of claim 4, wherein the data layer comprises:
an origin repository for storing the first user data and/or the second user data;
a standard library for storing the normalized data;
a data interface for transmitting the standardized data stored in the standard library to the middle layer.
6. The police intelligence cloud platform of claim 5, wherein the data layer further comprises:
a view library for storing video and/or image data in the standardized data.
7. The police intelligence cloud platform of claim 5, wherein the data layer further comprises:
a private repository to store third user data, the third user data referring to user data that is transmitted to the data layer through the data connector middleware or the communication agent middleware.
8. The police intelligence cloud platform of claim 1, further comprising:
and the middleware is used for providing an algorithm for data standardization for the data layer.
9. The police intelligence cloud platform of claim 8, wherein the middleware comprises:
the data asset module is used for displaying the data of the standard library;
the uniform identity middleware is used for providing an algorithm for classifying the user data according to the identity for the data layer;
and the view library middleware is used for providing an algorithm for carrying out data standardization on the video and/or image data for the data layer.
10. The police intelligence cloud platform of any one of claims 1-9, wherein the middle layer is specifically configured to perform data dimension reduction processing according to at least one of the following dimensions to obtain a plurality of data sets: unifying identity, personnel files, case files, item files, location files, relationship files, personnel tracks, item tracks, monitoring entity lists, economic files, organizations, group files, IP address repositories, event files, address repositories.
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