CN117172971A - Big data legal supervision model building method based on legal supervision field modeling language - Google Patents

Abstract

The invention discloses a big data legal supervision model building method of modeling language in the legal supervision field, which comprises the following steps: the problem domain is combed, and the big data legal supervision domain is determined; establishing a corresponding legal supervision field modeling language according to the big data legal supervision field; constructing a big data legal supervision model by using a modeling language in the legal supervision field; analyzing the big data legal supervision model by using a DSM code generator to generate a DSM code; the operation support of DSM codes such as basic system environment application service and engine is constructed safely according to the field characteristics and technology of the big data legal supervision field, namely the big data legal supervision field framework; and releasing DSM codes on the big data legal supervision domain framework to complete the big data legal supervision DSM application.

Description

Big data legal supervision model building method based on legal supervision field modeling language

Technical Field

The invention relates to the field of legal supervision, in particular to a big data legal supervision model building method based on a modeling language in the field of legal supervision.

Background

With the rapid development of information technology and the deep implementation of national big data strategy, the big data plays an increasingly important role in the development of high quality of economy and society.

Since 2022, "digital energized supervision, supervision and promotion treatment" all-level authorities in China raise the construction of big data law supervision models, all-level authorities establish tens of thousands of big data law supervision models, and the problems of high construction cost and long period are faced while the huge social treatment effect is achieved. On one hand, the continuous construction of legal supervision informatization for 20 years accumulates a large amount of data, such as the mining of the same gold mine, which has great value; on the other hand, basic business personnel are familiar with the method and tool for lack of business understanding data value to mine data value and trample social management, and the requirement of big data legal supervision development cannot be met by simply relying on the services of IT service units in terms of time and cost, and in terms of business understanding and practical effects.

Whether the lead layer, the business demander and the service side are in need, a special method is needed to be found, a corresponding tool system is established, so that legal supervision business big data are integrated in the specific application field of legal supervision, the special visual modeling capability of the legal supervision is provided, and the social management application after the legal supervision modeling of the big data is automatically constructed.

Disclosure of Invention

The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.

The invention aims to solve the problems, and provides a big data legal supervision model building method based on a legal supervision domain modeling language, which is used for determining a big data legal supervision domain according to the existing legal supervision model carding problem domain, then building a corresponding legal supervision domain modeling language according to the determined legal supervision domain, constructing a legal supervision model by utilizing the legal supervision domain modeling language, integrating and deploying the analyzed DSM codes on a unified big data legal supervision domain framework, thereby completing the application of the big data legal supervision DSM.

The technical scheme of the invention is as follows:

the invention provides a big data legal supervision model building method based on a modeling language in the legal supervision field, which comprises the following steps:

The method comprises the steps of (1) carding the big data legal supervision field, and collecting the existing legal supervision model;

establishing a legal supervision field modeling language based on the existing legal supervision model;

constructing a big data legal supervision model by using a modeling language in the legal supervision field;

constructing a big data legal supervision model code generator;

analyzing the big data legal supervision model by utilizing a big data legal supervision model code generator to generate a corresponding legal supervision model code;

constructing a big data legal supervision domain framework;

integrating and deploying the big data legal supervision domain frame and the big data legal supervision model code to realize the big data legal supervision domain model application.

According to one embodiment of the big data legal supervision model building method based on the legal supervision domain modeling language, the existing legal supervision model comprises a legal supervision business handling flow model and a visit flow model, and the big data legal supervision model building method of the legal supervision domain modeling language builds the legal supervision domain modeling language by analyzing and summarizing the existing legal supervision business handling flow model and the visit flow model.

According to one embodiment of the big data legal supervision model establishing method based on the legal supervision field modeling language, the legal supervision business handling flow model and the access flow model both comprise corresponding entity models, service interface models and page form models; the big data legal supervision model establishing method of the legal supervision field modeling language establishes the legal supervision field modeling language according to the collected entity model, the service interface model and the page form model.

According to one embodiment of the big data legal supervision model building method based on the legal supervision field modeling language, the legal supervision field modeling language comprises a meta model and a calculation model; the meta model comprises a solid meta model, an interface table unit model and a service interface meta model, the calculation model comprises a data processing meta model, and the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision model according to the built meta model and the calculation model in the big data legal supervision field.

According to one embodiment of the big data legal supervision model building method based on the legal supervision field modeling language, the meta model and the calculation model respectively comprise corresponding basic elements and attributes, and the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision model according to the basic elements, the attributes and the corresponding data of the meta model; the big data legal supervision model comprises a big data legal supervision entity model, a big data legal supervision interface form model, a big data legal supervision service interface model and a big data legal supervision data processing model.

According to one embodiment of the big data legal supervision model building method based on the legal supervision field modeling language, the entity meta model basic elements comprise entities, attributes, relations, primary keys, foreign keys and mapping cardinalities; the big data legal supervision entity model is built according to the defined entity element model basic elements, entity element model attributes and corresponding data.

According to one embodiment of the big data legal supervision model building method based on the legal supervision field modeling language, the basic elements of the interface table unit model comprise an application form, shortcut operation, user information, a navigation menu and main display content; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision interface form model according to the defined basic elements of the interface form unit model, the interface form unit model attribute and the corresponding data.

According to one embodiment of the big data legal supervision model building method based on the legal supervision field modeling language, the basic elements of the service interface meta-model comprise a summary, an entity interface relation and an entity interface method; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision interface form model according to the defined basic elements of the service interface meta model, the service interface meta model attributes and corresponding data.

According to one embodiment of the big data legal supervision model building method based on the legal supervision domain modeling language, the basic elements of the data processing meta-model comprise a data source, screening rules, processing logic and a result set; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision data processing model according to the defined data processing meta model basic elements, the data processing meta model attributes and the corresponding data.

According to one embodiment of the big data legal supervision model building method based on the legal supervision domain modeling language, the big data legal supervision model building method based on the legal supervision domain modeling language builds a code generation template according to legal supervision model codes to be generated by the big data legal supervision model, and then builds a big data legal supervision model code generator by utilizing the built big data legal supervision model and the code template; wherein the code generation template stores a plurality of generation rules.

According to an embodiment of the big data legal supervision model building method based on the legal supervision domain modeling language, the big data legal supervision model building method based on the legal supervision domain modeling language utilizes a built big data legal supervision model code generator to analyze the big data legal supervision model to generate a corresponding legal supervision model code, and the method comprises the following steps:

Reading data in a big data legal supervision model;

adapting according to the big data legal supervision model and the generation rule in the template; and

and combining the data in the big data legal supervision model with the corresponding generation rules to generate a legal supervision model code.

According to one embodiment of the big data legal supervision model building method based on the legal supervision domain modeling language, the big data legal supervision domain framework comprises a business base layer, a runtime support layer, a middleware platform, a container platform, an operating system layer and a hardware layer; wherein,

the business base layer is used for interfacing with a business system;

the runtime support layer is used for providing micro services required by big data legal supervision model design and application release;

the middleware platform is used for providing middleware for big data analysis and application release requirements;

the operating system layer is used for providing an operating system used by the big data legal supervision domain framework;

the hardware layer is used for providing hardware resources of the big data legal supervision domain framework.

According to an embodiment of the method for establishing the big data legal supervision model based on the legal supervision domain modeling language, the micro services comprise a unified authentication authorization micro service, an organization personnel management micro service, a workflow agent micro service, a task scheduling micro service, a message micro service, an open platform micro service, a report micro service, a tenant management micro service, a log micro service, an object storage micro service, a platform configuration micro service and a portal micro service.

The invention provides a big data legal supervision model design tool, which comprises a legal supervision field modeling language module, a model design tool set module, a model management module, a code generation module and a code integration deployment module; wherein,

the legal supervision field modeling language module is used for providing a legal supervision field modeling language for establishing a big data legal supervision model;

the model design tool set module is used for providing a model design tool set based on a legal supervision field modeling language;

the model management module is used for storing and managing a big data legal supervision model established based on a modeling language in the legal supervision field;

the code generation module is used for analyzing the big data legal supervision model and generating and managing legal supervision model codes;

the code integration and deployment module is used for integrating and deploying legal supervision model codes and realizing the application of the big data legal supervision field model.

According to an embodiment of the big data legal supervision model design tool of the invention, the legal supervision domain modeling language comprises a meta model and a calculation model; the meta model comprises a solid meta model, an interface table unit model and a service interface meta model, the calculation model comprises a data processing meta model, and the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision model according to the built meta model and the calculation model in the big data legal supervision field.

According to an embodiment of the big data legal supervision model design tool, the model design tool set sets a plurality of model designers according to the big data legal supervision DSM language, including an E-R designer, an interface designer, a calculation flow designer and a rule designer; wherein,

the E-R designer is used for designing a big data legal supervision entity model,

the interface designer is used for designing a big data legal supervision page model,

the interface designer is used for designing a big data legal supervision service interface model,

the calculation flow designer is used for designing a big data legal supervision calculation model,

the rule designer is used for designing screening rules in the big data law supervision calculation model.

Compared with the prior art, the invention has the following beneficial effects: aiming at the model establishment of the big data legal supervision field, the invention collects the existing legal supervision model to comb the problem field, determines the big data legal supervision field, establishes a corresponding legal supervision field modeling language according to the determined legal supervision field, and constructs the legal supervision model by utilizing the legal supervision field modeling language, thereby realizing standardization and standardization of the big data legal supervision model establishment. In addition, the invention also establishes a unified big data legal supervision domain framework, and the established big data legal supervision model is operated on the unified big data legal supervision domain framework, so that the application of the big data legal supervision DSM is realized.

Drawings

The above features and advantages of the present invention will be better understood after reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily to scale and components having similar related features or characteristics may have the same or similar reference numerals.

FIG. 1 is a flow chart illustrating one embodiment of a big data legal supervision model building method based on a legal supervision domain modeling language of the present invention.

FIG. 2 is an exemplary diagram illustrating one embodiment of a solid meta-model of the present invention.

FIG. 3 is an exemplary diagram illustrating one embodiment of a data retrieval table cell model of the present invention.

FIG. 4 is an exemplary diagram illustrating one embodiment of a data presentation table unit model of the present invention.

FIG. 5 is an exemplary diagram illustrating one embodiment of a data processing metamodel of the present invention.

FIG. 6 is a flow chart illustrating one embodiment of a legal supervision model code generation method of the invention.

FIG. 7 is a block diagram illustrating one embodiment of a big data legal supervision domain framework of the present invention.

FIG. 8 is a block diagram illustrating one embodiment of a big data legal supervision model design tool of the invention.

Detailed Description

The invention is described in detail below with reference to the drawings and the specific embodiments. It is noted that the aspects described below in connection with the drawings and the specific embodiments are merely exemplary and should not be construed as limiting the scope of the invention in any way.

An embodiment of a big data legal supervision model building method based on a legal supervision domain modeling language (hereinafter sometimes simply referred to as a big data legal supervision model building method) is disclosed herein, fig. 1 is a flowchart showing an embodiment of a big data legal supervision model building method based on a legal supervision domain modeling language according to the present invention, please refer to fig. 1, and the following is a detailed description of each step of the big data legal supervision model building method based on the legal supervision domain modeling language (hereinafter sometimes simply referred to as a legal supervision DSM language).

Step S1: and (5) combing the big data legal supervision field, and collecting the existing legal supervision model.

Domain-specific modeling (DSM) is a software engineering methodology for designing and developing systems that focuses on automating modeling design to software development in a narrow field of interest. As its name suggests, it is domain-specific and not general, so the narrower the focus, the more limited it is, the easier it is to provide support for both the standardization effort and the automated manual programming effort. Unlike the general method, the DSM can support development tasks because the modeling language is limited to the problem domain, and the generator can master the solution domain, i.e., the implementation side. Therefore, in this embodiment, in order to constrain the DSM language range in the legal supervision domain, the DSM language is made to conform to the legal supervision domain, before the legal supervision DSM language is built, materials are prepared for the abstraction of the legal supervision DSM language, and the existing legal supervision model is collected to abstract the problem in the big data legal supervision domain. In the abstract process, two principles need to be met, namely, the corresponding principles and specifications of computer design need to be met so as to ensure that the achievable specification design can be completed; and secondly, actual business and application practice based on the problem field are needed to ensure that business application can understand and use.

Specifically, in this embodiment, the existing legal supervision model generally includes two types, one is a legal supervision business handling flow model, and the other is a visit flow model. The existing legal supervision model respectively comprises a corresponding entity model, a service interface model and a page Form model (hereinafter sometimes simply referred to as Form model), and the large data legal supervision model building method based on the legal supervision field modeling language builds the legal supervision DSM language according to the existing entity model, service interface model and page Form model collected by the large data legal supervision field.

Taking an online access system as an example, the total number of entity models is 80, the total number of service interface models is 18, the core page model 200 is redundant, and the legal supervision DSM language is constructed by referring to the design language of the computer specification according to the collected models.

Illustratively, in this embodiment, the entity model includes a "visit receive registration" entity, the model of which is as follows:

for the service interface model, taking the service interface model of 'reporting type access receiving' as an example, the service interface model consists of service interface information, request header information, request parameters and return data, and the specific composition is as follows:

Service interface information example:

request header information example:

request parameter example:

returning a successful example of the data:

parameters (parameters)	Description of the invention
		code	Successful status code
success	True
		message	Acceptance success of newly added reporting type access part
data	Returned data

Return data failure example:

parameters (parameters)	Description of the invention
		code	Failure status code
success	false
		message	Acceptance failure of newly added reporting type access part
data	{}

Step S2: and establishing a legal supervision field modeling language based on the existing legal supervision model.

In this embodiment, after the existing legal supervision model is collected in the step S1, the DSM language in the big data legal supervision field is established by analyzing and summarizing the existing legal supervision model. Where the definition applicable to the DSM language in this particular field of legal supervision is the same as the definition applicable to the general modeling language, typically consisting of grammar and semantics. Wherein the grammar of the modeling LANGUAGE is not only meant to be reserved words, but is also generally considered to cover the model specified in LANGUAGE. In DSM, rules are formulated to avoid code generation from erroneous models, which rules come from the domain and are defined in a modeling concept-dependent language. The rules are placed in the DSM language in advance, the rules can be detected only by checking the model, each code generator is not required to be detected, and the rule checking efficiency can be improved. In addition, in terms of grammar, abstract grammars that represent the structure and grammatical rules of a language can be further distinguished from token-specific grammars that involve the use of symbols and languages. To increase design abstraction and generate more complete code, the modeling language typically requires extended grammar and semantics in building legal supervision fields.

Specifically, in this embodiment, by analyzing and summarizing the existing entity model, service interface model, and page Form model (Form model) collected by the big data legal supervision problem domain, the meta model and calculation model of the big data legal supervision problem domain are designed while taking into account the standardability of the computer design language, the readability and comprehensibility of the business personnel, and the mappability with the final solution domain. The meta model is used for defining language specifications of the built model, and the built meta model can standardize the attribute of the model, the relation among language elements, the hierarchical structure of the model and the correctness rules of the model.

In this embodiment, the meta-model includes a solid meta-model, a page table unit model (Form meta-model), and a service interface meta-model, through which a set of entities, data processing, and interface presentation in the legal supervision field are described. The computing model is a data processing meta-model and is used for processing data interaction and processing among various entity models, service interface models and Form models. These meta-models and computational models together constitute a legal supervision domain modeling language.

Step S3: constructing a big data legal supervision model by using a modeling language in the legal supervision field.

In this embodiment, the meta-model and the calculation model in the big data legal supervision field respectively include corresponding basic elements and attributes, and the big data legal supervision model building method builds a corresponding big data legal supervision model according to the basic elements, attributes and corresponding data of the meta-model. The big data legal supervision model comprises a big data legal supervision entity model, a big data legal supervision interface form model, a big data legal supervision service interface model and a big data legal supervision data processing model.

Further, in this embodiment, the Entity meta-model includes six Entity meta-model basic elements, namely, entity (Entity), attribute (Attribute), relationship (Relationship), primary Key (Primary Key), foreign Key (Foreign Key), and mapping radix (Cardinality). Where entities represent an independent object in the real world, each entity has a unique identifier (primary key) and contains several attributes. Attributes represent characteristics or features of an entity and are used to describe various information of the entity. Relationships represent connections or links between entities, which may be one-to-one, one-to-many, or many-to-many. The primary key represents a unique identifier of the entity, underlined. The foreign key represents an attribute in a relationship that is used to connect two entities, representing an association between one entity and another entity. The mapping radix represents a quantitative relationship of relationships between entities, including one-to-one, one-to-many, and many-to-many.

Taking models of interviewee, participant, interviewee shunt record, transacted information and the like as examples, through the illustration of the entity meta model shown in fig. 2, the illustration is used for showing a plurality of basic entity meta model basic elements of entity, attribute, relationship, primary key, external key and mapping base number to be considered when the entity meta model is established.

Further, in this embodiment, the Form meta model includes five interface Form element model basic elements, including an application Form, a shortcut operation, user information, a navigation menu, and a main display content area. The main display content area also comprises interface Form components such as a view title, a view toolbar, a view search panel, a view table component and the like, and a Form meta model of DSM language in the legal supervision field is constructed by combining the positions of the basic elements of various interface Form unit models and the configuration of the interface Form components.

Fig. 3 and 4 are exemplary diagrams showing an embodiment of the data retrieval table unit model and the data presentation table unit model of the present invention, respectively. Taking a data retrieval Form and a data display Form as examples, when a Form meta-model is built, a required interface display frame is built according to basic elements of a plurality of interface Form unit models, such as an application Form, shortcut operation, user information, a navigation menu and a main display content area.

Further, in this embodiment, the service interface metamodel includes four service interface metamodel basic elements, namely, an overview, an entity interface relationship, and an entity interface method. Wherein the summary element is used to describe interface information and interface method default request mode setting information, the entity interface is used to represent the associated entity, the entity interface relationship is used for representing the relationship between the service interface and the associated entity, and the entity interface method is used for representing the calling method between the service interface and the associated entity. Through the four service interface meta-model elements, a service interface meta-model of a modeling language in the legal supervision field can be constructed.

Further, in this embodiment, the data processing meta-model includes four data processing meta-model basic elements, namely, a data source, a filtering rule, processing logic, and a result set. Fig. 5 is an exemplary diagram illustrating an embodiment of a data processing meta-model of the present invention, in which, as shown in fig. 5, a data source represents source data to be used by a computing model, and a filtering rule is used to filter the source data to obtain a data filtering result. The processing logic is used for carrying out data collision on the data screening result to obtain a data set collision result, and the data set collision result is used as a result set of the data processing meta-model, and the DSM language in the legal supervision field constructs various data processing meta-models according to the four data processing meta-model basic elements of the data source, the screening rule, the processing logic and the result set.

Step S4: constructing a big data legal supervision model by using a modeling language in the legal supervision field.

In this embodiment, after the legal supervision domain modeling language is constructed in the step S3, a big data legal supervision model is constructed by using the established legal supervision domain modeling language, and a corresponding big data legal supervision entity model, a big data legal supervision interface form model, a big data legal supervision service interface model and a big data legal supervision data processing model are constructed by using the constructed entity meta model, the interface table unit model, the service interface meta model and the data processing meta model.

Specifically, in this embodiment, when the big data legal supervision model is built, a visualized model design tool set is used, including but not limited to an E-R designer, an interface designer, a calculation flow designer, a rule designer, and the like, and a corresponding big data legal supervision model is built according to the built meta model and the data processing meta model, and is saved as a corresponding format file according to the meta model requirement, including but not limited to a custom file, a structured database, and the like. Meanwhile, the constructed big data legal supervision model is separated from the final code, and can be independently generated, verified and stored, and also can be used for generating the final code.

Step S5: and constructing a big data legal supervision model code generator.

In this embodiment, in order to generate a achievement of an application code from a big data legal supervision model constructed in a DSM language in the legal supervision field, a set of big data legal supervision model code generators, that is, DSM code generators, are designed, and the corresponding type of big data legal supervision model is parsed by the DSM code generators to generate the DSM code of the model.

Code generators may have different classifications, most commonly they are classified as declarative and operational, or mixed use. This classification is based on the method used to specify the generator. Where declarative methods are used to describe the mapping between elements of the source (meta-model) and target programming languages, and operational methods are used to define the steps required to generate target code from a given source model, such as graph transformation rules. In the field of big data legal supervision, DSM, it is often necessary to generate final codes and scripts, so an operational approach is taken. That is, in this embodiment, corresponding generation rules are defined according to conversion steps and rules between meta-models in the big data legal supervision field and legal supervision model codes to be generated thereof, and then stored in a code generation template, and the big data legal supervision model code generator analyzes the corresponding big data legal supervision model through the generation rules of various meta-models stored in the code generation template, so as to generate the corresponding legal supervision model codes.

Step S6: and analyzing the big data legal supervision model by using a big data legal supervision model code generator to generate a corresponding legal supervision model code.

In this embodiment, after a set of large data legal supervision DSM code generators are constructed in step S5, the large data legal supervision model is parsed by using a template and data separation technology, so as to generate corresponding legal supervision model codes, i.e., DSM codes. FIG. 6 is a flow chart illustrating an embodiment of a legal supervision model code generation method of the invention, which is further described below in conjunction with the figures.

Step S61: and reading data in the big data legal supervision model.

In the implementation, when the big data legal supervision model is analyzed by using the big data legal supervision DSM code generator, the data in the big data legal supervision model needs to be read first. Upon reading, navigation may begin based on a certain root element in the model, find certain object types, or rely on various relationship types and connection types that the model has to navigate and access the data. More navigation options may also be used if the DSM code generator uses instance values. For example, the generator may further navigate connections or sub-models, depth or breadth first, or apply some order for navigation and access, selecting the next model element to access based on a certain value.

Step S62: and selecting a template according to a meta model corresponding to the big data legal supervision model.

In this embodiment, in order to process data, form, interface and other models and code generation of data analysis and other calculation models, various templates are established according to the big data legal supervision field, such as a structured data storage generation template (data class), an interface table generation template (data class), an access card generation template (Form class), an access list generation template (Form class), a unified service access generation interface template (interface class), a legal supervision data stream processing generation template (processing flow class), a unified service system access interface template (processing flow class) and the like. And then selecting a proper code generation template for adaptation according to different big data legal supervision models, and generating corresponding DSM codes by utilizing the generation rules in the code generation template.

Step S63: and combining the data in the big data legal supervision model with the corresponding templates to generate the DSM code.

In this embodiment, the final DSM code may be generated by integrating the data with the template using standard or specially developed automation tools. The automation tool is a template engine for generating dynamic content, and the template and the data can be separated by a technology based on separation of the template and the data, so that better code organization and maintainability are realized. Such as Freemarker, thymeleaf, handlebars, etc.

Furthermore, in this embodiment, different parts of the model need to generate different achievements, including codes, scripts, statements, design manuals, etc., which need different rules to generate. And storing the rules into a code generation template, and generating corresponding achievements at different parts of the big data legal supervision model through the generation rules stored in the code generation template.

Step S7: integrating and deploying the big data legal supervision domain frame and the big data legal supervision model code to realize the big data legal supervision domain model application.

In this embodiment, in order to effectively operate the established big data legal supervision model, a big data legal supervision domain framework is constructed, and then the big data legal supervision domain framework and the big data legal supervision model DSM code are integrated and deployed, so that big data legal supervision domain model application, that is, big data legal supervision DSM application, is completed. The large data legal supervision domain framework provides an interface between the generated code and the underlying platform, and the underlying platform for the code to run, and the DSM code can directly call the platform component to run. FIG. 7 is a block diagram showing an embodiment of the big data legal supervision domain framework of the present invention, and the embodiment is described in detail below with reference to FIG. 7.

As shown in fig. 7, in this embodiment, the big data legal supervision domain framework includes a business base layer, a runtime support layer, a middleware platform, a container platform, an operating system layer, and a hardware layer. The service base layer is used for interfacing service systems, including a unified service system 1.5, a unified service system 2.0, an online access system 2.0, and the like. The Runtime (RT) support layer is used to provide micro services required for big data legal supervision model design and application release, including unified authentication authorization micro services (micro services-ua, support for third party authentication), organization personnel management micro services (micro services-ou), workflow agent micro services (micro services-wf), task scheduling micro services (micro services-task), message micro services (micro services-notify), open platform micro services (micro services-open), report micro services (micro services-report), tenant management micro services (micro services-saas), log micro services (micro services-log), object storage micro services (micro services-oss), platform configuration micro services (micro services-conf), and micro services (micro services-portal).

The middleware platform is used for providing middleware required by big data analysis and application release, and comprises MQ middleware, nacos middleware, ZK middleware, redis middleware and the like. The container platform is used for providing an integrated container with continuous integration requirements, and comprises a K8s cluster and a Swarm cluster. The operating system layer provides an operating system used by the big data legal supervision domain framework. In this example, the operating system was Galaxy kylin V10. The hardware layer is used for providing hardware resources of the big data legal supervision domain framework.

The hardware layer adopts an ARM architecture host. After the big data legal supervision domain framework is constructed, integrating the generated DSM code with the big data legal supervision domain framework, and completing the big data legal supervision DSM application through the utility codes, libraries and components provided by the big data legal supervision domain framework.

In this specification, a big data legal supervision model design tool is also provided, and fig. 8 is a schematic diagram showing an embodiment of the big data legal supervision model design tool of the present invention. As shown in fig. 8, in this embodiment, the big data legal supervision model design tool includes a legal supervision field modeling language module, a model design tool set module, a model management module, a code generation module, and a code integration deployment module.

The law supervision field modeling language module is internally provided with a big data law supervision DSM language standard and is used for providing a law supervision field modeling language for building a big data law supervision model. The model design tool set module provides a visual model design tool set providing a variety of model designers for big data legal supervision DSM language including, but not limited to, E-R designers, interface designers, legal supervision model designers (computational flows), rule designers, and the like, by which business personnel construct big data legal supervision models.

The model management module is used for storing and managing a big data legal supervision model established based on a modeling language in the legal supervision field, and providing visual model storage and version management functions for business personnel. The code generation module is used for analyzing the big data legal supervision model and generating and managing legal supervision model codes, so that functions of a code publisher, centralized code management, code publishing management and the like are provided for service personnel. The code integration and deployment module is used for integrating and deploying legal supervision model codes and providing integration, deployment and continuous management functions of codes and field frameworks for service personnel, so that big data legal supervision field model application is realized.

The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disk) as used herein include Compact Disc (CD), laser disc, optical disc, digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disk) usually reproduce data magnetically, while discs (disk) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Claims (16)

1. A big data legal supervision model building method based on a modeling language in the legal supervision field is characterized by comprising the following steps:

the method comprises the steps of (1) carding the big data legal supervision field, and collecting the existing legal supervision model;

establishing a legal supervision field modeling language based on the existing legal supervision model;

constructing a big data legal supervision model by using a modeling language in the legal supervision field;

constructing a big data legal supervision model code generator;

analyzing the big data legal supervision model by utilizing a big data legal supervision model code generator to generate a corresponding legal supervision model code;

constructing a big data legal supervision domain framework;

integrating and deploying the big data legal supervision domain frame and the big data legal supervision model code to realize the big data legal supervision domain model application.

2. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 1, wherein the existing legal supervision model includes a legal supervision business handling flow model and a interview flow model, and the method for building a big data legal supervision model of a legal supervision domain modeling language builds the legal supervision domain modeling language by analyzing and generalizing the existing legal supervision business handling flow model and the interview flow model.

3. The method for building the big data legal supervision model based on the modeling language in the legal supervision field according to claim 2, wherein the legal supervision business handling flow model and the access flow model both comprise corresponding entity models, service interface models and page form models; the big data legal supervision model establishing method of the legal supervision field modeling language establishes the legal supervision field modeling language according to the collected entity model, the service interface model and the page form model.

4. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 1, wherein the legal supervision domain modeling language comprises a meta model and a calculation model; the meta model comprises a solid meta model, an interface table unit model and a service interface meta model, the calculation model comprises a data processing meta model, and the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision model according to the built meta model and the calculation model in the big data legal supervision field.

5. The method for building the big data legal supervision model based on the legal supervision domain modeling language according to claim 4, wherein the meta model and the calculation model respectively comprise corresponding basic elements and attributes, and the method for building the big data legal supervision model based on the legal supervision domain modeling language builds the big data legal supervision model according to the basic elements, the attributes and the corresponding data of the meta model; the big data legal supervision model comprises a big data legal supervision entity model, a big data legal supervision interface form model, a big data legal supervision service interface model and a big data legal supervision data processing model.

6. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 4, wherein the basic elements of the entity meta model comprise entities, attributes, relations, primary keys, foreign keys and mapping cardinalities; the big data legal supervision entity model is built according to the defined entity element model basic elements, entity element model attributes and corresponding data.

7. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 4, wherein the basic elements of the interface table unit model include an application table, shortcut operation, user information, navigation menu and main display content; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision interface form model according to the defined basic elements of the interface form unit model, the interface form unit model attribute and the corresponding data.

8. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 4, wherein the basic elements of the service interface meta-model include a summary, an entity interface relationship and an entity interface method; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision interface form model according to the defined basic elements of the service interface meta model, the service interface meta model attributes and corresponding data.

9. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 4, wherein the basic elements of the data processing meta-model comprise a data source, screening rules, processing logic and a result set; the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision data processing model according to the defined data processing meta model basic elements, the data processing meta model attributes and the corresponding data.

10. The big data legal supervision model building method based on the legal supervision domain modeling language according to claim 1, wherein the big data legal supervision model building method based on the legal supervision domain modeling language builds a code generation template according to a legal supervision model code to be generated by the big data legal supervision model, and then builds a big data legal supervision model code generator by using the built big data legal supervision model and the code template; wherein the code generation template stores a plurality of generation rules.

11. The method for creating the big data legal supervision model based on the legal supervision domain modeling language according to claim 10, wherein the method for creating the big data legal supervision model based on the legal supervision domain modeling language uses the created big data legal supervision model code generator to analyze the big data legal supervision model to create the corresponding legal supervision model code, and the method comprises the following steps:

Reading data in a big data legal supervision model;

adapting according to the big data legal supervision model and the generation rule in the template; and

and combining the data in the big data legal supervision model with the corresponding generation rules to generate a legal supervision model code.

12. The method for building a big data legal supervision model based on a legal supervision domain modeling language according to claim 1, wherein the big data legal supervision domain framework comprises a business base layer, a runtime support layer, a middleware platform, a container platform, an operating system layer and a hardware layer; wherein,

the business base layer is used for interfacing with a business system;

the runtime support layer is used for providing micro services required by big data legal supervision model design and application release;

the middleware platform is used for providing middleware for big data analysis and application release requirements;

the operating system layer is used for providing an operating system used by the big data legal supervision domain framework;

the hardware layer is used for providing hardware resources of the big data legal supervision domain framework.

13. The legal supervision model building method based on the legal supervision domain modeling language according to claim 12, wherein the micro services comprise a unified authentication authorization micro service, an organization personnel management micro service, a workflow agent micro service, a task scheduling micro service, a message micro service, an open platform micro service, a report micro service, a tenant management micro service, a log micro service, an object storage micro service, a platform configuration micro service and a portal micro service.

14. The big data legal supervision model design tool is characterized by comprising a legal supervision field modeling language module, a model design tool set module, a model management module, a code generation module and a code integration deployment module; wherein,

the legal supervision field modeling language module is used for providing a legal supervision field modeling language for establishing a big data legal supervision model;

the model design tool set module is used for providing a model design tool set based on a legal supervision field modeling language;

the model management module is used for storing and managing a big data legal supervision model established based on a modeling language in the legal supervision field;

the code generation module is used for analyzing the big data legal supervision model and generating and managing legal supervision model codes;

the code integration and deployment module is used for integrating and deploying legal supervision model codes and realizing the application of the big data legal supervision field model.

15. The big data legal supervision model design tool of claim 14, wherein the legal supervision domain modeling language comprises a meta model and a computational model; the meta model comprises a solid meta model, an interface table unit model and a service interface meta model, the calculation model comprises a data processing meta model, and the big data legal supervision model building method based on the legal supervision field modeling language builds a big data legal supervision model according to the built meta model and the calculation model in the big data legal supervision field.

16. The big data legal supervision model design tool according to claim 14, wherein the model design tool set sets a plurality of model designers according to the big data legal supervision DSM language, including an E-R designer, an interface designer, a computation flow designer, and a rule designer; wherein,

the E-R designer is used for designing a big data legal supervision entity model,

the interface designer is used for designing a big data legal supervision page model,

the interface designer is used for designing a big data legal supervision service interface model,

the calculation flow designer is used for designing a big data legal supervision calculation model,

the rule designer is used for designing screening rules in the big data law supervision calculation model.