CN114564673A - Enterprise intelligent policy service implementation method and system based on big data - Google Patents
Enterprise intelligent policy service implementation method and system based on big data Download PDFInfo
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- CN114564673A CN114564673A CN202210196241.2A CN202210196241A CN114564673A CN 114564673 A CN114564673 A CN 114564673A CN 202210196241 A CN202210196241 A CN 202210196241A CN 114564673 A CN114564673 A CN 114564673A
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Abstract
The invention discloses a big data-based enterprise intelligent policy service implementation method and a big data-based enterprise intelligent policy service implementation system, which relate to the technical field of electronic information, wherein the implementation of the method comprises a basic policy database, a policy matching engine and a policy declaration system, and a portal end facing an enterprise user and a management end facing a management user are arranged; establishing a basic policy database locally for storing and managing basic data added by a user and providing management operation of the data; the policy matching engine introduces enterprise government affair data as a basis of basic data, and builds a policy matching model framework, and a management user performs custom configuration on conditions required by policy declaration; the policy declaration system includes a flow engine and a form engine. The invention can realize the online release, display, intelligent matching and online application of the policy, shorten the perception time of an enterprise to the policy, avoid the low efficiency of paper declaration and improve the project approval response efficiency.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to a big data-based enterprise intelligent policy service implementation method and system.
Background
A unified policy convergence platform is lacked in the current region, policies of all departments are scattered on government affair websites, when enterprises acquire the policies, the enterprises need to log in different government department websites for browsing, and the current government website policy display modules only support basic browsing functions and do not support further user operation functions such as collection and the like.
The classification of policy documents by departments in various regions is thick, and when an enterprise acquires the policy, the information such as the gate type, the field, the applicable object and the like of the policy cannot be distinguished, so that a large blind area exists during the acquisition. Meanwhile, for part of reportable projects, after an enterprise acquires the reporting information, the enterprise cannot have clear cognition based on the current condition and the reporting condition, and does not know whether the enterprise is in the reporting object range or not and whether the enterprise meets the basic qualification and condition requirements of reporting, so that two extreme types are caused: non-reporting and blind and indiscriminate reporting.
In the policy application, the traditional project application is based on offline paper material submission, the traditional mode needs an applicant to prepare a large amount of paper materials, an approver needs to review a large amount of paper materials, if a material problem exists, a large amount of manpower, material resources and time cost are still needed to be modified and sent to relevant departments, and meanwhile, the requirement for paper data retention is higher.
Disclosure of Invention
Aiming at the defects, the invention provides the enterprise intelligent policy service implementation method and system based on the big data, which can realize the online release, display, intelligent matching and online application of the policy, shorten the perception time of the enterprise on the policy, avoid the low efficiency of paper declaration and improve the project approval response efficiency.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for realizing enterprise intelligent policy service based on big data comprises a basic policy database, a policy matching engine and a policy declaration system, and is provided with an enterprise user-oriented portal terminal and a management user-oriented management terminal;
establishing a basic policy database locally for storing and managing basic data added by a user and providing management operation of the data;
the policy matching engine introduces enterprise government affair data as a basis of basic data, and builds a policy matching model framework, and a management user performs custom configuration on conditions required by policy declaration;
the policy declaration system comprises a process engine and a form engine, wherein the process engine is used for process definition and execution, and the form engine is used for no-code generation of a business form page and association of a database table; the process and the form are combined to form a process form example, which is called when a user initiates declaration filling, and after submission, the process is executed at a server according to the nodes and the relation persons configured by the process engine, and after the execution is finished, data is filed.
The method supports policy matching related application functions and policy declaration functions respectively through three basic business support services of a policy matching engine, a process engine and a form engine.
The door user end mainly faces enterprise-like foreground users and supports the foreground users to use system service functions; the management end mainly faces government affair managers and administrators and provides foreground data entry, basic setting and business approval logic services.
Preferably, the policy matching engine comprises policy matching basic setting, policy matching condition configuration, condition and base table field association configuration,
after configuration, an independent API interface is generated, enterprise data (enterprise big data information is filled or quoted by a user) is used as a parameter to generate and output the corresponding relation between the enterprise and the policy, wherein the corresponding relation comprises the matching degree, the conditions met by each condition and the final matching result.
Preferably, the management user performs user-defined configuration on the conditions required by policy declaration, real-time interaction between an interface and a base table is realized in the configuration process, mutual association among a declaration guide table, a matching condition table and an enterprise government information data table is realized under the condition of not increasing codes, and the association logic is packaged and an API (application programming interface) interface is exposed;
the business ID and the policy ID are output as corresponding matching results, and the parameters may be one-to-one, one-to-many, many-to-one or many-to-many.
Preferably, the policy declaration system is associated with the declaration guide in the form of a declaration link, and when a declaration action on the declaration guide is initiated, the filling page is triggered and called up, and after submission, the filling page is executed in sequence by the server according to the setting of the process engine.
Preferably, the basic service functions include policy information, policy interpretation, declaration guide and policy subscription, and mainly provide functions of adding, deleting, modifying and checking basic data, processing basic data and displaying a portal; the requirement of enterprise users for checking the policy is met.
The core service functions comprise policy matching, policy pushing, policy deduction, policy pre-declaration, exemption and sharing, policy pre-declaration, policy declaration and declaration exemption, wherein,
the policy matching, the policy pushing, the policy deduction, the policy pre-declaration and the non-declaration and sharing are all based on the policy matching engine to develop business functions, all of which are taken as a bottom logic basis, and when business is triggered, the matching engine service is called to generate a corresponding relation between an enterprise and a policy and retain process data;
the policy pre-declaration, the policy declaration and the declaration exemption are supported by the policy declaration system, flexible configuration of a business process and a front-end form is realized through a process engine and a form engine, a relation is established between the process engine and the form engine on the surface of a library, the form and a declaration guide are associated, flexible interaction of information and logic between objects is realized, and data submission of the front end and flow circulation of the back end are realized.
Preferably, the first and second liquid crystal materials are,
the policy information provides the functions of displaying and collecting the policy information and adding, deleting, modifying and checking the background;
the policy interpretation provides the display of the policy interpretation and the functions of adding, deleting, modifying and checking the background; the policy interpretation and the policy information are mutually related, and the two are in a many-to-one relationship and can jump at a page layer;
the declaration guide provides the functions of displaying and collecting policy information and increasing, deleting, modifying and checking the background; the declaration guide and the policy information are mutually associated, and the declaration guide and the policy information are in a many-to-one relationship and can jump at a page layer; meanwhile, the declaration guide is an entry of policy declaration and is used for controlling the opening and closing of a page for filling the form;
the policy subscription is oriented to the portal user, and can be used for carrying out policy subscription, and after subscription, corresponding reminding can be carried out after the relevant policy category is updated;
in the policy matching, a portal end user can initiate the matching of self information (including self-filling data and data acquired by a government program API) and system full declaration guide data, and output a detailed matching result; a match with a certain guideline may also be initiated;
the management end user can maintain the matching conditions of the guide, support one guide to add a plurality of conditions, realize the association of the visual operating conditions and the judgment method of the corresponding fields of the base table, and simultaneously support the time limit setting, the condition weight setting and the custom configuration of the result judgment standard;
the policy pushing is based on a policy matching engine, and a management user can push a specific policy to all platform users meeting matching conditions in the background;
the policy deduction is that based on a policy matching engine and government affair enterprise big data, a management user can initiate one-to-many matching of policies and enterprises on the background, and finally an enterprise list matched with the policies and the enterprises is generated;
the policy pre-declaration supports that before declaration, an enterprise verifies whether key indexes of a project are met so as to determine whether a subsequent declaration process is carried out; the pre-declared bottom logic is still based on the matching engine, but is assisted by the function modification meeting the business scene;
the policy declaration generates a form example through the configuration and association of the process and the form, associates the form example with a corresponding declaration guide, and triggers the process and transfers among roles in the background after the user initiates the declaration;
the process configuration supports process self-defining drawing, node operator designation, countersigning or signing judgment, judgment variable value introduction and js introduction judgment logic; the form engine supports page dragging configuration and rendering and automatic association of a base table;
the declaration and the exemption can be realized by introducing judgment of a policy matching engine or white list judgment in the declaration process, and after enterprise declaration, corresponding conditions are met, and the approval can be directly and automatically succeeded.
Preferably, the method is realized as follows:
1) the local built basic policy database is called through an enterprise interface to obtain enterprise information and supplement enterprise data, and local data retention is achieved;
2) establishing an enterprise information base, and synchronously establishing one-to-one corresponding indexes for fields which can be quantified, compared and judged in the enterprise information base according to the fields contained in the enterprise basic information;
3) the management terminal issues policies, configures policy conditions and occupied weights according to the enterprise information base, and establishes a policy base;
4) the enterprise initiates policy matching at a portal end, and when the policy matching is initiated, excessive data does not need to be filled in, the policy matching can be directly applied, and the basic information of the local enterprise is automatically used for comparison;
5) calculating the matching degree, comparing item by item according to the basic data of the enterprise and the conditions required by the configured policy, if the matching degree is met, increasing the corresponding proportion (matching degree), otherwise not increasing the proportion; after all conditions are calculated, all specific gravities are added, and the obtained sum is the matching degree;
6) outputting a matching result, judging that the matching fails according to the condition of the policy and the policy which cannot meet the requirement of the lowest matching degree, and displaying the matching result which is not applied by the enterprise in a matching result list;
if the conditions are met, sorting according to the matching degree, and sending feedback to the portal end;
7) and the enterprise receives matching result feedback.
The method aims to solve the problems that in the policy field of enterprises, policies are unknown and unintelligible, the touch rate is low, and the reporting efficiency is low. By utilizing a computer technology and an internet communication technology, a one-stop enterprise policy service system is created, so that online release, display, intelligent matching and online application of policies are realized, the sensing time of enterprises on the policies is shortened, the low efficiency of paper declaration is avoided, and the project approval response efficiency is improved.
The method covers the service functions of all scenes of the policy fields such as policy display, matching, pushing, on-line declaration and approval and the like, and realizes a policy custom configuration condition screening model in the aspect of policy matching.
The invention also claims an enterprise intelligent policy service system based on big data, which is provided with a portal terminal facing enterprise users and a management terminal facing management users, and comprises a basic policy database, a policy matching engine and a policy declaration module;
the system realizes the enterprise intelligent policy service realization method based on the big data.
Preferably, the system is implemented
Based on a multilayer B/S software architecture of J2EE, a Java platform is used for constructing service end processing logic; the front end uses a VUE frame and uses HTML, CSS and JS to build a corresponding front end display page; a micro service architecture is used in deployment, and data intercommunication is carried out between services by adopting an API (application programming interface);
establishing a connection between the server sides through a TCP/IP protocol, realizing data transmission by calling an HTTP interface, and encrypting and decrypting data by using signature verification and data encryption technologies;
accessing government data to perform user basic authentication, calling related interfaces to verify the truth and the correspondence of the incoming parameters, and returning a result;
identifying, verifying and storing the file uploaded in the service process by an OCR character recognition technology, extracting key information in the service file as required and storing the key information, and avoiding the process of repeated filling; necessary legal basis is provided for the effectiveness of the on-line material through the electronic signature technology;
in the aspect of interface management, a data service management platform is set up, an API request forwarded by a server is received, and enterprise information original data is requested from a government affair data interface; in the aspect of safety, the independently developed TDOS big data platform is used for carrying out safety management on government affair data of an enterprise;
the technical architecture with the front end and the rear end separated is adopted, the specification of a rear end API interface is unified, and a set of interfaces can be adapted to WEB, APP, WeChat and government affair APP to integrate various scenes.
The invention also claims an enterprise intelligent policy service device based on big data, which comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program to execute the big data-based enterprise intelligent policy service implementation method.
Compared with the prior art, the enterprise intelligent policy service implementation method and system based on big data have the following beneficial effects:
the method realizes the online functions of gathering, displaying, reaching and reporting of policies on an application level through an information technology, solves the knowledge blind area of enterprises for various policies to a certain extent, and provides a special policy list for the enterprises by utilizing big data and intelligent matching; meanwhile, paperless online declaration is combined with a policy matching engine, so that higher validity of declaration is guaranteed, and the project approval efficiency of government departments is greatly improved; the operation and maintenance cost can be effectively reduced and the operation and maintenance efficiency can be improved by customizing the flow and the declaration form.
Drawings
FIG. 1 is a system functional architecture diagram of a big data-based enterprise intelligent policy service implementation method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating object relationships among modules in a big data-based enterprise intelligent policy service implementation method according to an embodiment of the present invention;
FIG. 3 is a business flow diagram of a big data-based implementation method of an enterprise intelligent policy service according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating the configuration of items in a big data based implementation method for an enterprise intelligent policy service according to an embodiment of the present invention;
FIG. 5 is an exemplary diagram of an interface of a system portal home page according to the present method provided by an embodiment of the present invention;
FIG. 6 is an exemplary policy presentation interface under the method of the present invention provided in the embodiment of the present invention FIG. 1;
FIG. 7 is an exemplary policy presentation interface under the method of the present invention provided in the embodiment of the present invention FIG. 1.1;
FIG. 8 is an exemplary diagram of an initiation policy match provided by an embodiment of the present invention;
FIG. 9 is an exemplary graph of a matching result provided by an embodiment of the present invention FIG. 1;
FIG. 10 is an example of a matching result provided by an embodiment of the present invention FIG. 1.1;
FIG. 11 is an example of a matching engine setup provided by embodiments of the present invention FIG. 1;
FIG. 12 is an example of a matching engine setup provided by embodiments of the invention FIG. 2;
FIG. 13 is a diagram illustrating an exemplary process design provided by an embodiment of the invention;
FIG. 14 is a diagram of an example of a form design provided by an embodiment of the invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
The embodiment of the invention provides a big data-based enterprise intelligent policy service implementation method, which is shown in a reference figure 1 and comprises a basic policy database, a policy matching engine and a policy declaration system, wherein a portal end facing an enterprise user and a management end facing a management user are arranged;
establishing a basic policy database locally for storing and managing basic data added by a user and providing management operation of the data;
the policy matching engine introduces enterprise government affair data as a basis of basic data, and builds a policy matching model framework, and a management user performs custom configuration on conditions required by policy declaration;
the policy declaration system comprises a process engine and a form engine, wherein the process engine is used for defining and executing a process, and the form engine is used for generating no codes on a business form page and associating a database table; the process and the form are combined to form a process form example, the process form example is called when a user initiates declaration filling, the process form example is executed at a server side according to nodes and relations configured by a process engine after submission, and data is filed after execution is finished.
A flow engine: the method can be used as a part of application systems and provides core solutions for determining information transfer routes, content levels and the like according to roles, labor division and conditions, which have determination effects on each application system. The process engine includes important functions of node management, flow direction management, process sample management and the like of the process.
The form engine: a lightweight form design tool developed for rapid implementation of a project. By adopting the form engine tool, a new form style can be designed under the condition of not developing and newly adding codes, compared with the development of a program, almost 70% of development workload of programmers can be saved, and the later maintenance is relatively simple and the management is convenient.
Application program interface: are predefined interfaces (e.g., functions, HTTP interfaces), or refer to conventions for interfacing different components of a software system to provide a set of routines that an application program and developer can access based on certain software or hardware without accessing source code or understanding details of internal workings.
The method supports policy matching related application functions and policy declaration functions respectively through three basic business support services of a policy matching engine, a process engine and a form engine.
The policy matching engine comprises policy matching basic setting, policy matching condition configuration and condition and base table field association configuration, and after configuration, an independent API (application program interface) interface is generated, enterprise data (enterprise big data information filled by users or quoted by users) is used as a parameter to generate and output enterprise and policy corresponding relations, including matching degree, each condition satisfaction condition, a final matching result and the like.
The process engine and the form engine can realize code-free generation of a process form example, the process form example is associated with the declaration guide in a form of a declaration link, when a declaration action on the declaration guide is initiated, a filling page is triggered and called, and after submission, the process form example and the form engine are executed in sequence by the server according to the setting of the process engine.
The functional layer comprises the functions of application layers such as policy information, policy interpretation, declaration guide, policy subscription, policy matching, policy pushing, policy deduction, policy pre-declaration, non-declaration-to-share, policy pre-declaration, policy declaration, declaration-to-check and the like, and the business function can be divided into a portal and a management front end which are respectively oriented to enterprise users and management users.
The architecture of the method is shown in fig. 1, and the business logic layer includes a basic policy database, a policy matching engine and a policy declaration system.
And a policy database is built locally for storing and managing basic information such as policies, interpretations and projects added by the user and providing basic management functions such as data addition, deletion, modification and examination for the management user.
The policy matching engine takes the introduced enterprise government affair data as a basic data basis, and builds a policy matching model framework, an administrator carries out custom configuration on conditions required by policy declaration, real-time interaction of an interface and a base table can be realized in the configuration process, mutual correlation among a declaration guide table, a matching condition table and an enterprise government affair information data table is realized under the condition that codes are not increased, the correlation logic is packaged and an API interface is exposed, an enterprise ID and a policy ID are transmitted, namely, a corresponding matching result is output, and the transmitted parameters can be one-to-one, one-to-many, many-to-one and many-to-many relations.
The policy declaration system introduces a process engine and a form engine, the process engine realizes flexible process definition and execution, and the form engine realizes no code generation of a business form page and association of a database table. The process and the form are combined to form a process form example, which is called when a user initiates declaration filling, and after submission, the process is executed at a server according to the nodes and the relation persons configured by the process engine, and after the execution is finished, data is filed.
The functional layers comprise policy information, policy interpretation, declaration guide, policy subscription, policy matching, policy pushing, policy deduction, policy pre-declaration, non-declaration-to-share, policy pre-declaration, policy declaration, declaration-to-trial and the like.
The basic service functions comprise basic functions of policy information, policy interpretation, declaration guidance, policy subscription and the like, and mainly provide functions of adding, deleting, modifying and checking basic data, processing basic data and displaying a portal, so that the requirement of an enterprise user for checking the policy is met.
The core business functions comprise policy matching, policy pushing, policy deduction, policy pre-declaration, declaration-free sharing, policy pre-declaration, policy declaration, declaration-free examination and the like;
the method comprises the following steps of policy matching, policy pushing, policy deduction, policy pre-declaration and application-free sharing, wherein the policy matching engine is used for developing business functions and is used as a bottom logic basis, when business is triggered, matching engine service is called, one-to-one or many-to-many corresponding relations between enterprises and policies are generated, and process data are stored;
the policy pre-declaration, the policy declaration and the declaration exemption are supported by a policy declaration system, the flexible configuration of a business process and a front-end form is realized through a process engine and a form engine, the connection is established on the surface of a library surface, the form and a declaration guide are associated, the flexible interaction of information and logic between objects is realized, and the data declaration of the front end and the process circulation of the rear end are realized.
A presentation layer: the technical architecture with the front end and the rear end separated is adopted, the specification of a rear end API interface is unified, and one set of interface can be adapted to various scenes such as WEB, APP, WeChat, government affair APP integration and the like.
The specific functions include:
the door user side (foreground) mainly faces enterprise and other foreground users and supports the foreground users to use system service functions; the management end (background) mainly faces government affair managers and administrators and provides foreground data entry, basic setting and business approval logic services.
The portal user is generated by the user through the registration of a mobile phone number and is divided into a common user and an authentication user, the common user is obtained after the registration is successful, and the portal user is upgraded into the authentication user after the system authentication is passed; and calling the four elements of industry and commerce, the three elements of individuals and the like to perform basic verification when the user registers.
The policy information provides the functions of displaying, collecting and adding, deleting, modifying and checking the background of the policy information;
the policy interpretation provides the display of the policy interpretation and the functions of adding, deleting, modifying and checking the background; the policy interpretation and the policy information are correlated, and the two are in a many-to-one relationship and can be skipped at a page layer;
the declaration guide provides the functions of displaying and collecting policy information and increasing, deleting, modifying and checking the background; the declaration guide and the policy information are mutually associated, and the declaration guide and the policy information are in a many-to-one relationship and can jump at a page layer; meanwhile, the declaration guide is an entry of policy declaration and is used for controlling the opening and closing of a page for filling the form;
the policy subscription is oriented to the portal user, and can be used for carrying out policy subscription, and after subscription, corresponding reminding can be carried out after the relevant policy category is updated;
in the policy matching, a portal end user can initiate the matching of self information (including self-filling data and data acquired by a government program API) and system full declaration guide data, and output a detailed matching result; a match with a certain guideline may also be initiated;
the management end user can maintain the matching conditions of the guide, support one guide to add a plurality of conditions, realize the association of the visual operating conditions and the judgment method of the corresponding fields of the base table, and simultaneously support the time limit setting, the condition weight setting and the custom configuration of the result judgment standard;
the policy pushing is based on a policy matching engine, and a management user can push a specific policy to all platform users meeting matching conditions in the background;
the policy deduction is that based on a policy matching engine and government affair enterprise big data, a management user can initiate one-to-many matching of policies and enterprises on the background, and finally an enterprise list matched with the policies and the enterprises is generated;
the policy pre-declaration supports that before declaration, an enterprise verifies whether key indexes of a project are met so as to determine whether a subsequent declaration process is carried out; the pre-declared bottom logic is still based on the matching engine, but is assisted by the function modification meeting the business scene;
the policy declaration generates a form example through the configuration and association of the process and the form, associates the form example with a corresponding declaration guide, and triggers the process and transfers among various roles in the background after a user initiates declaration;
the process configuration supports process self-defining drawing, node operator designation, countersigning or signing judgment, judgment variable value introduction and js introduction judgment logic; the form engine supports page dragging configuration and rendering and automatic association of a base table;
the declaration and the exemption can be realized by introducing judgment of a policy matching engine or white list judgment in the declaration process, and after enterprise declaration, corresponding conditions are met, and the approval can be directly and automatically succeeded.
As shown in fig. 3, the implementation process of the method is as follows:
1) the local built basic policy database is called through an enterprise interface to acquire enterprise information and supplement enterprise data, so that local data is saved;
2) establishing an enterprise information base, and synchronously establishing one-to-one corresponding indexes for fields which can be quantified, compared and judged in the enterprise information base according to the fields contained in the enterprise basic information;
3) the management terminal issues policies, configures policy conditions and occupied weights according to the enterprise information base, and establishes a policy base;
4) the enterprise initiates policy matching at a portal end, and when the policy matching is initiated, excessive data does not need to be filled in, the policy matching can be directly applied, and the basic information of the local enterprise is automatically used for comparison;
5) calculating the matching degree, comparing item by item according to the basic data of the enterprise and the conditions required by the configured policy, if the matching degree is met, increasing the corresponding proportion (matching degree), otherwise not increasing the proportion; after all conditions are calculated, all specific gravities are added, and the obtained sum is the matching degree;
6) outputting a matching result, judging that the matching fails according to the condition of the policy and the policy which does not meet the requirement of the lowest matching degree, and displaying the matching result which is not applied by the enterprise in a matching result list;
if the conditions are met, sorting according to the matching degree, and sending feedback to the portal end;
7) and the enterprise receives matching result feedback.
The enterprise information obtained by interface calling is not authorized to be modified by the enterprise, but the data can be manually updated regularly, and the data interface is called to update the original resources of the local database every time the data is updated; for problem data, the enterprise may initiate a complaint of error correction.
The method aims to solve the problems that the policies are unknown, not understood, low in reaching rate and low in reporting efficiency of enterprises in the field of policies. By utilizing a computer technology and an internet communication technology, a one-stop enterprise policy service system is created, so that online release, display, intelligent matching and online application of policies are realized, the sensing time of enterprises on the policies is shortened, the low efficiency of paper declaration is avoided, and the project approval response efficiency is improved.
The method covers the service functions of all scenes of the policy fields such as policy display, matching, pushing, on-line declaration and approval and the like, and realizes a policy custom configuration condition screening model in the aspect of policy matching.
The embodiment of the invention also provides an enterprise intelligent policy service system based on big data, which is provided with a portal end facing enterprise users and a management end facing management users, and as shown in figure 1, the system comprises a basic policy database, a policy matching engine and a policy declaration module;
the system realizes the enterprise intelligent policy service realization method based on big data in the embodiment of the invention.
Specifically, the system provided in this embodiment is implemented by the following configuration:
building service end processing logic by using a Java platform based on a multilayer B/S software architecture of J2 EE; the front end uses a VUE frame and uses HTML, CSS and JS to build a corresponding front end display page; a micro service architecture is used in deployment, and data intercommunication is carried out between services by adopting an API (application programming interface);
establishing the connection between the service ends through a TCP/IP protocol, realizing the data transmission by calling an HTTP interface, and encrypting and decrypting the data by using signature verification and data encryption technology;
accessing government data to perform user basic authentication, calling related interfaces to verify the truth and the correspondence of the incoming parameters, and returning a result;
identifying, verifying and storing the file uploaded in the service process by an OCR character recognition technology, extracting key information in the service file as required and storing the key information, and avoiding the process of repeated filling; necessary legal basis is provided for the effectiveness of the on-line material through the electronic signature technology;
in the aspect of interface management, a data service management platform is set up, an API request forwarded by a server is received, and enterprise information original data is requested from a government affair data interface; in the aspect of safety, the independently developed TDOS big data platform is used for carrying out safety management on government affair data of an enterprise;
the technical architecture with the front end and the rear end separated is adopted, the specification of a rear end API interface is unified, and a set of interfaces can be adapted to WEB, APP, WeChat and government affair APP to integrate various scenes.
The embodiment of the invention also provides an enterprise intelligent policy service device based on big data, which comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine-readable program to execute the big data based enterprise intelligent policy service implementation method according to the above embodiment of the present invention.
The present invention can be easily implemented by those skilled in the art from the above detailed description. It should be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the basis of the disclosed embodiments, a person skilled in the art can combine different technical features at will, thereby implementing different technical solutions.
In addition to the technical features described in the specification, the technology is known to those skilled in the art.
Claims (10)
1. A big data-based enterprise intelligent policy service implementation method is characterized in that the implementation of the method comprises a basic policy database, a policy matching engine and a policy declaration system, and an enterprise user-oriented portal end and a management user-oriented management end are arranged;
establishing a basic policy database locally for storing and managing basic data added by a user and providing management operation of the data;
the policy matching engine introduces enterprise government affair data as a basis of basic data, and builds a policy matching model framework, and a management user performs custom configuration on conditions required by policy declaration;
the policy declaration system comprises a process engine and a form engine, wherein the process engine is used for process definition and execution, and the form engine is used for no-code generation of a business form page and association of a database table; the process and the form are combined to form a process form example, which is called when a user initiates declaration filling, and after submission, the process is executed at a server according to the nodes and the relation persons configured by the process engine, and after the execution is finished, data is filed.
2. The big-data based enterprise intelligent policy service implementation method of claim 1, wherein the policy matching engine comprises a policy matching basic setting, a policy matching condition configuration, a condition and base table field association configuration,
after configuration, an independent API interface is generated, enterprise data are used as parameters to generate and output the corresponding relation between the enterprise and the policy, wherein the corresponding relation comprises the matching degree, the conditions met by all the conditions and the final matching result.
3. The big data-based enterprise intelligent policy service implementation method according to claim 2, wherein the administrative user performs custom configuration on conditions required for policy declaration, real-time interaction between an interface and a base table is realized in the configuration process, mutual association among a declaration guide table, a matching condition table and an enterprise government information data table is realized under the condition of not increasing codes, and the association logic is packaged and an API interface is exposed;
the business ID and the policy ID are output as corresponding matching results, and the parameters may be one-to-one, one-to-many, many-to-one or many-to-many.
4. The method for implementing enterprise intelligent policy service based on big data as claimed in claim 1, 2 or 3, wherein the policy declaration system is associated with the declaration guide in the form of a declaration link, when a declaration action for the declaration guide is initiated, a filling page is triggered and called, and after submission, the server executes the filling page in sequence according to the setting of the process engine.
5. The method for implementing enterprise intelligent policy service based on big data according to claim 1, wherein basic business functions include policy information, policy interpretation, declaration guide and policy subscription, and mainly provide functions of adding, deleting, modifying, checking, processing and portal display of basic data;
the core service functions comprise policy matching, policy pushing, policy deduction, policy pre-declaration, application-free sharing, policy pre-declaration, policy declaration and application-free review, wherein,
the policy matching, the policy pushing, the policy deduction, the policy pre-declaration and the non-declaration and sharing are all based on the policy matching engine to develop business functions, all of which are taken as a bottom logic basis, and when business is triggered, the matching engine service is called to generate a corresponding relation between an enterprise and a policy and retain process data;
the policy pre-declaration, the policy declaration and the declaration exemption are supported by the policy declaration system, flexible configuration of a business process and a front-end form is realized through a process engine and a form engine, a relation is established between the process engine and the form engine on the surface of a library, the form and a declaration guide are associated, flexible interaction of information and logic between objects is realized, and data submission of the front end and flow circulation of the back end are realized.
6. The big-data based enterprise intelligent policy service implementation method according to claim 5,
the policy information provides the functions of displaying, collecting and adding, deleting, modifying and checking the background of the policy information;
the policy interpretation provides the display of the policy interpretation and the functions of adding, deleting, modifying and checking the background; the policy interpretation and the policy information are mutually related, and the two are in a many-to-one relationship and can jump at a page layer;
the declaration guide provides the functions of displaying and collecting policy information and increasing, deleting, modifying and checking the background; the declaration guide and the policy information are mutually associated, and the declaration guide and the policy information are in a many-to-one relationship and can jump at a page layer; meanwhile, the declaration guide is an entry of policy declaration and is used for controlling the opening and closing of a page for filling the form;
the policy subscription is oriented to the portal user, the policy subscription can be carried out, and after the subscription and the updating of the relevant policy categories, corresponding reminding can be carried out;
the policy matching is that the portal end user can initiate the matching of self information and the system full declaration guide data and output a detailed matching result; a match with a certain guideline may also be initiated;
the management end user can maintain the matching conditions of the guide, support one guide to add a plurality of conditions, realize the association of the visual operating conditions and the judgment method of the corresponding fields of the base table, and simultaneously support the time limit setting, the condition weight setting and the custom configuration of the result judgment standard;
the policy pushing is based on a policy matching engine, and a management user can push a specific policy to all platform users meeting matching conditions in the background;
the policy deduction is that based on a policy matching engine and government affair enterprise big data, a management user can initiate one-to-many matching of policies and enterprises on the background, and finally an enterprise list matched with the policies and the enterprises is generated;
the policy pre-declaration supports that before declaration, an enterprise verifies whether key indexes of a project are met so as to determine whether a subsequent declaration process is carried out; the pre-declared bottom logic is still based on the matching engine, but is assisted by the function modification meeting the business scene;
the policy declaration generates a form example through the configuration and association of the process and the form, associates the form example with a corresponding declaration guide, and triggers the process and transfers among roles in the background after the user initiates the declaration;
the process configuration supports process self-defining drawing, node operator designation, countersigning or signing judgment, judgment variable value introduction and js introduction judgment logic; the form engine supports page dragging configuration and rendering and automatic association of a base table;
the declaration and the exemption can be realized by introducing judgment of a policy matching engine or white list judgment in the declaration process, and after enterprise declaration, corresponding conditions are met, and the approval can be directly and automatically succeeded.
7. The big data-based enterprise intelligent policy service implementation method according to claim 1, characterized in that the implementation process of the method is as follows:
1) the local built basic policy database is called through an enterprise interface to obtain enterprise information and supplement enterprise data, and local data retention is achieved;
2) establishing an enterprise information base, and synchronously establishing one-to-one corresponding indexes for quantifiable, comparable and judgeable fields in the enterprise information base according to the fields contained in the enterprise basic information;
3) the management terminal issues policies, configures policy conditions and occupied weights according to the enterprise information base, and establishes a policy base;
4) the enterprise initiates policy matching at a portal end, can directly apply for the policy matching during the initiation, and automatically uses the local enterprise basic information for comparison;
5) calculating the matching degree, comparing item by item according to the basic data of the enterprise and the conditions required by the configured policy, if the matching is met, increasing the corresponding proportion, otherwise not increasing the proportion; after all conditions are calculated, all specific gravities are added, and the obtained sum is the matching degree;
6) outputting a matching result, judging that the matching fails according to the condition of the policy and the policy which does not meet the requirement of the lowest matching degree, and displaying the matching result which is not applied by the enterprise in a matching result list;
if the matching conditions are met, sorting according to the matching degree, and sending feedback to the portal end;
7) and the enterprise receives matching result feedback.
8. An enterprise intelligent policy service system based on big data is characterized in that the system is provided with a portal end facing enterprise users and a management end facing management users, and the system comprises a basic policy database, a policy matching engine and a policy declaration module;
the system implements the big data based enterprise intelligent policy service implementation method of any one of claims 1-7.
9. The big-data based enterprise intelligent policy service system as claimed in claim 8, wherein the system is implemented
Based on a multilayer B/S software architecture of J2EE, a Java platform is used for constructing service end processing logic; the front end uses a VUE frame and uses HTML, CSS and JS to build a corresponding front end display page; a micro service architecture is used in deployment, and data intercommunication is carried out between services by adopting an API (application programming interface);
establishing a connection between the server sides through a TCP/IP protocol, realizing data transmission by calling an HTTP interface, and encrypting and decrypting data by using signature verification and data encryption technologies;
accessing government data to perform user basic authentication, calling related interfaces to verify the truth and the correspondence of the incoming parameters, and returning a result;
identifying, verifying and storing the file uploaded in the service process by an OCR character recognition technology, extracting key information in the service file as required and storing the key information, and avoiding the process of repeated filling; necessary legal basis is provided for the effectiveness of the on-line material through the electronic signature technology;
in the aspect of interface management, a data service management platform is set up, an API request forwarded by a server is received, and enterprise information original data is requested from a government affair data interface; in the aspect of safety, the independently developed TDOS big data platform is used for carrying out safety management on government affair data of an enterprise;
the technical architecture with the front end and the rear end separated is adopted, the specification of a rear end API interface is unified, and a set of interfaces can be adapted to WEB, APP, WeChat and government affair APP to integrate various scenes.
10. An enterprise intelligent policy service device based on big data is characterized by comprising at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program to perform the big data based enterprise intelligent policy service implementation method of any of claims 1 to 7.
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