CN112579457B

CN112579457B - Data architecture management and control method and system based on artificial intelligence

Info

Publication number: CN112579457B
Application number: CN202011544858.6A
Authority: CN
Inventors: 张宇; 王维; 刘延锋; 孟丽媛
Original assignee: Beijing Zhixiang Information Technology Co ltd
Current assignee: Beijing Zhixiang Information Technology Co ltd
Priority date: 2020-12-24
Filing date: 2020-12-24
Publication date: 2024-04-19
Anticipated expiration: 2040-12-24
Also published as: CN112579457A

Abstract

The embodiment of the invention provides a data architecture management and control method and a system based on artificial intelligence, which are used for analyzing current software business link relation information based on application software log information, so that link aggregation key link information is obtained, then after a plurality of pieces of software hierarchical classification architecture information are obtained, the software architecture interaction configuration information among the link software architecture information is used for identifying the plurality of pieces of software hierarchical classification architecture information, so that management and control architecture unit operation and maintenance information corresponding to a current architecture unit to be managed and controlled is obtained, and management and control operation and maintenance processing is carried out on a data architecture management and control component of target system software according to the management and control architecture unit operation and maintenance information. Therefore, the data architecture management and control component of the target system software can be managed, controlled and maintained according to the analysis characteristics of the business links of a large amount of application software log information, and the matching degree of the software data architecture and the actual business scene is improved.

Description

Data architecture management and control method and system based on artificial intelligence

Technical Field

The invention relates to the technical field of computers, in particular to a data architecture management and control method and system based on artificial intelligence.

Background

The objects described by the software business architecture are abstract business components directly forming a system, and the connection between each abstract business component explicitly and relatively carefully describes the communication between the components. In the implementation phase, these abstract components are refined into actual components, such as concrete classes or objects. In the object-oriented field, connections between components are typically implemented with interfaces. Based on this, how to effectively manage and control the software data architecture in the data architecture management and control process is a technical problem to be solved.

Disclosure of Invention

In order to overcome the defects in the prior art, the invention aims to provide a data architecture management and control method and system based on artificial intelligence, which are used for analyzing the link relation information of the current software business based on application software log information, so as to obtain link convergence key link information, generating link software architecture information in key link traceability information of different convergence dimensions based on the link convergence key link information, and then migrating the link software architecture information to the link convergence key link information to obtain a plurality of software hierarchical classification architecture information, so that the plurality of software hierarchical classification architecture information are identified according to the software architecture interaction configuration information among the link software architecture information, and the management and control architecture unit operation and maintenance information corresponding to the current to-be-managed architecture unit is obtained, and management and control operation and maintenance processing is carried out on a data architecture management and control assembly of target system software according to the management and control architecture unit operation and maintenance information. Therefore, the data architecture management and control component of the target system software can be managed, controlled and maintained according to the analysis characteristics of the business links of a large amount of application software log information, and the matching degree of the software data architecture and the actual business scene is improved.

In a first aspect, the present invention provides a data architecture management and control method based on artificial intelligence, applied to a server, the method comprising:

Acquiring current application software log information of each software service terminal, and performing software service link relation tracking on the current application software log information based on an artificial intelligent model so as to convert the current application software log information into current software service link relation information to obtain processed link aggregation key link information;

generating a plurality of key link tracing information with different aggregation dimensions based on the link aggregation key link information, and respectively detecting link software architecture in the key link tracing information with different aggregation dimensions to obtain link software architecture information in the key link tracing information with different aggregation dimensions;

migrating link software architecture information in the key link traceability information of the plurality of different aggregation dimensions to the link aggregation key link information to obtain a plurality of software hierarchical classification architecture information;

And identifying the plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed architecture unit, and performing management and control operation and maintenance processing on the data architecture management and control component of the target system software according to the management and control architecture unit operation and maintenance information.

In a possible implementation manner of the first aspect, the step of identifying the plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information between the link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit includes:

Acquiring an interaction configuration tag corresponding to the software architecture interaction configuration information between the link software architecture information, and acquiring preset software hierarchical classification architecture data corresponding to the interaction configuration tag from a preset software hierarchical classification architecture database according to the interaction configuration tag, wherein the preset software hierarchical classification architecture database comprises a corresponding relation between the interaction configuration tag and the preset software hierarchical classification architecture data, and the preset software hierarchical classification architecture data is used for representing software hierarchical classification architecture data marked in software hierarchical classification architecture management and control feature information analyzed by an architecture component corresponding to the software architecture interaction configuration according to historical software hierarchical classification architecture management and control data of the software architecture interaction configuration;

Acquiring target software hierarchical classification architecture nodes containing current architecture units to be managed from the preset software hierarchical classification architecture data according to the plurality of software hierarchical classification architecture information, determining target architecture adjustment objects taking the preset software hierarchical classification architecture data as architecture adjustment objects according to the target software hierarchical classification architecture nodes, dividing the target software hierarchical classification architecture nodes into a plurality of architecture adjustment objects to be determined corresponding to the target architecture adjustment objects in sequence by taking the software service link relation characteristics of the plurality of software hierarchical classification architecture information as references, performing support vector machine model calculation on each architecture adjustment object to be determined and the target architecture adjustment objects respectively to obtain corresponding support vector machine ranges, and recording the architecture adjustment objects to be determined corresponding to the support vector machine ranges as first data resource scanning objects when the support vector machine ranges do not meet the set ranges, wherein the target architecture adjustment objects are second data resource scanning objects so as to obtain a data resource scanning set formed by at least one first data resource scanning object and the second data resource scanning object;

Determining a corresponding first data resource scanning object space based on at least one data resource scanning object set, dividing the target software hierarchical classification architecture nodes according to the set spectrum selection range by taking the first data resource scanning object space as a reference, and respectively obtaining a plurality of second data resource scanning object spaces which correspond to each spectrum selection range and contain the first data resource scanning object space;

Analyzing the second data resource scanning object space to obtain characteristic information of each data resource scanning object set in the second data resource scanning object space, determining a management and control level and corresponding management and control architecture parameters of the data resource scanning object set according to the characteristic information of the data resource scanning object set, and determining a first data resource scanning object sequence according to the management and control level and corresponding management and control architecture parameters of the data resource scanning object set;

Determining a management and control sensing state formed by a data resource scanning object set meeting preset conditions based on the first data resource scanning object sequence, a management and control level of the data resource scanning object set and corresponding management and control architecture parameters, determining one of a first management and control sensing state and a second management and control sensing state of each data resource scanning object space, and screening each data resource scanning object space according to one of the first management and control sensing state and the second management and control sensing state to obtain a screened data resource scanning object space corresponding to each data resource scanning object space;

Obtaining the other one of the first control perception state and the second control perception state based on the screened data resource scanning object space corresponding to each data resource scanning object space;

Obtaining a first control perception state set according to the first control perception states respectively corresponding to the data resource scanning object spaces and obtaining a second control perception state set according to the second control perception states respectively corresponding to the data resource scanning object spaces;

Determining a first state transition matrix corresponding to the first control perception state set and a second state transition matrix corresponding to the second control perception state set, and respectively determining a first state offset vector corresponding to the first control perception state set and a second state offset vector corresponding to the second control perception state set based on the first control perception state set and the first state transition matrix and the second control perception state set and the second state transition matrix;

And performing operation and maintenance sensing on the first state offset vector of the first control sensing state set and the second state offset vector corresponding to the second control sensing state set, and obtaining control matching characteristics of the software business link relation data associated with the preset software hierarchical classification architecture data according to the sensing node set of the operation and maintenance sensing result to obtain control architecture unit operation and maintenance information corresponding to the current architecture unit to be controlled.

In a possible implementation manner of the first aspect, the step of performing software service link relation tracking on the current application software log information based on the artificial intelligence model to convert the current application software log information into current software service link relation information to obtain processed link aggregation key link information includes:

detecting key node response segments in the current application software log information;

Selecting a target key node response segment which accords with the application software log information change range from the detected key node response segment;

determining the software business link relation distribution corresponding to the target key node response segment, and constructing a link business feature set according to the link business distribution corresponding to the software business link relation distribution;

And according to the link service feature set, performing software service link relation tracking on the current application software log information based on an artificial intelligent model so as to convert the current application software log information into current software service link relation information, and obtaining the processed link aggregation key link information.

In a possible implementation manner of the first aspect, the step of performing a management and control operation and maintenance process on a data architecture management and control component of the target system software according to the management and control architecture unit operation and maintenance information includes:

According to the acquired operation and maintenance strategy information and preset operation and maintenance history information for recording the operation and maintenance information of the management and control architecture unit, determining operation and maintenance service parameters of a plurality of component operation services of a component software service of a data architecture management and control component for managing and controlling the target system software to be preset and associated service parameters among different component operation services; each piece of preset operation and maintenance history information is one piece of preset operation and maintenance history information of a component software service of a data architecture management and control component of the target system software, and each piece of operation and maintenance strategy information is operation and maintenance strategy information of the data architecture management and control component of the target system software;

Setting the plurality of component operation services based on the determined operation and maintenance service parameters of the plurality of component operation services and the determined association service parameters among different component operation services, so that the set operation and maintenance service parameters of the component operation services cover the set service parameters, and the set association service parameters among the component operation services match preset service parameters;

Judging whether the architecture management and control template information is matched with the component software service of the data architecture management and control component of the target system software according to the matching rate of the architecture management and control template information under each component operation service in the set component operation service aiming at any architecture management and control template information corresponding to the management and control architecture unit operation and maintenance information;

And if the framework management and control template information is determined to be matched with the component software service of the data framework management and control component of the target system software, performing management and control operation and maintenance processing on the data framework management and control component of the target system software according to the framework management and control template information, so that the framework management and control template information is matched with the component software service of the data framework management and control component of the target system software.

In a possible implementation manner of the first aspect, the step of generating a plurality of link traceability information with different aggregation dimensions based on the link aggregation link information includes:

Determining a to-be-managed and controlled architecture unit label in a link service index of the link aggregation key link information, wherein the to-be-managed and controlled architecture unit label comprises a set of to-be-managed and controlled architecture unit labels of the same key link traceability information of the link aggregation key link information;

Processing the to-be-controlled architecture element labels through a structure description value in header file information of a preset to-be-controlled architecture element item sequence, and determining a first convergence dimension representation matched with the to-be-controlled architecture element labels;

Determining a second aggregation dimension representation matched with the label of the to-be-managed architecture unit according to the first aggregation dimension representation and the structural parameters in the header file information in the preset to-be-managed architecture unit item sequence;

Based on the second aggregation dimension representation matched with the to-be-managed and controlled architecture unit labels, clustering the to-be-managed and controlled architecture unit labels through the clustering strategy information of the preset to-be-managed and controlled architecture unit item sequence so as to output a clustering result, and sequentially tracing link aggregation key link information according to the clustering result to obtain key link tracing information of a plurality of different aggregation dimensions.

In a possible implementation manner of the first aspect, the step of detecting link software architecture in the key link tracing information of the multiple different aggregation dimensions to obtain link software architecture information in the key link tracing information of the multiple different aggregation dimensions includes:

Constructing first software source architecture information corresponding to state detection data of an architecture unit to be managed and controlled of the key link tracing information and second software source architecture information corresponding to probe implantation data of the architecture unit to be managed and controlled of the key link tracing information aiming at each group of key link tracing information; wherein the first software source architecture information and the second software source architecture information respectively include a plurality of architecture business levels of different architecture categories;

extracting initial architecture business level data of the architecture unit state detection data to be managed in any architecture business level of the first software source architecture information, and determining the architecture business level with the minimum architecture category in the second software source architecture information as a target architecture business level;

Migrating the initial architecture business hierarchy data to the target architecture business hierarchy according to correlation coefficients among key link traceability information of a plurality of different aggregation dimensions, obtaining migration architecture business hierarchy data in the target architecture business hierarchy, and generating a data association set between the to-be-managed architecture unit state detection data and the to-be-managed architecture unit probe implantation data based on migration paths between the initial architecture business hierarchy data and the migration architecture business hierarchy data;

and acquiring target architecture business hierarchy data in the target architecture business hierarchy by taking the migration architecture business hierarchy data as a reference, migrating the target architecture business hierarchy data to an architecture business hierarchy where the initial architecture business hierarchy data is located according to a data association sequence corresponding to the data association set, acquiring a business relation architecture result corresponding to the target architecture business hierarchy data in the architecture business hierarchy where the initial architecture business hierarchy data is located, and determining link software architecture information of the state detection data of the architecture unit to be managed according to the business relation architecture result.

In a second aspect, an embodiment of the present invention further provides an artificial intelligence-based data architecture management and control system, applied to a server in communication with a software service terminal, where the apparatus includes:

The tracking module is used for acquiring current application software log information of each software service terminal, and carrying out software service link relation tracking on the current application software log information based on the artificial intelligent model so as to convert the current application software log information into current software service link relation information and obtain processed link aggregation key link information;

The generation module is used for generating a plurality of key link tracing information with different aggregation dimensions based on the link aggregation key link information, and respectively detecting link software architecture in the key link tracing information with different aggregation dimensions so as to obtain link software architecture information in the key link tracing information with different aggregation dimensions;

The determining module is used for migrating link software architecture information in the key link traceability information of the plurality of different aggregation dimensions to the link aggregation key link information to obtain a plurality of software hierarchical classification architecture information;

And the management and control module is used for identifying the plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit, and managing and controlling the data architecture management and control assembly of the target system software according to the management and control architecture unit operation and maintenance information.

In a third aspect, an embodiment of the present invention further provides a server, where the server includes a processor, a machine-readable storage medium, where the machine-readable storage medium, the network interface, and the processor are connected by a bus system, where the network interface is used to communicatively connect to at least one software service terminal, where the machine-readable storage medium is used to store a program, an instruction, or a code, and where the processor is used to execute the program, the instruction, or the code in the machine-readable storage medium to perform the artificial intelligence based data architecture management method in the first aspect or any one of the possible implementation manners of the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, where instructions are stored, which when executed, cause a computer to perform the artificial intelligence based data architecture management method of the first aspect or any one of the possible implementation manners of the first aspect.

Based on any one of the above aspects, in the embodiment of the present invention, the current software service link relation information is analyzed based on the application software log information, so as to obtain link aggregation key link information, and then after obtaining a plurality of software hierarchical classification architecture information, the plurality of software hierarchical classification architecture information is identified according to the software architecture interaction configuration information among the link software architecture information, so as to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit, and management and control operation and maintenance processing is performed on the data architecture management and control component of the target system software according to the management and control architecture unit operation and maintenance information. Therefore, the data architecture management and control component of the target system software can be managed, controlled and maintained according to the analysis characteristics of the business links of a large amount of application software log information, and the matching degree of the software data architecture and the actual business scene is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic view of an application scenario of a data architecture management and control interaction system provided in an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a data architecture management and control method based on artificial intelligence according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of functional modules of an artificial intelligence-based data architecture management and control system according to an embodiment of the present invention;

fig. 4 is a schematic block diagram of a server for implementing the artificial intelligence-based data architecture management and control method according to an embodiment of the present invention.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.

It should be appreciated that "system," "apparatus," "unit," and/or "module" as used in this specification is a method for distinguishing between different components, elements, parts, portions, or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.

A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.

FIG. 1 is an interactive schematic diagram of a data architecture management interactive system 10 according to an embodiment of the present invention. The data architecture management interactive system 10 may include a server 100 and a software service terminal 200 communicatively coupled to the server 100. The data architecture management interactive system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the data architecture management interactive system 10 may include only a portion of the components shown in fig. 1 or may include other components.

In this embodiment, the server 100 and the software service terminal 200 in the data architecture management interactive system 10 may cooperate to perform the artificial intelligence-based data architecture management method described in the following method embodiments, and the detailed description of the method embodiments may be referred to for the execution steps of the server 100 and the software service terminal 200.

In order to solve the foregoing technical problems in the background art, fig. 2 is a flow chart of an artificial intelligence-based data architecture management and control method according to an embodiment of the present invention, where the artificial intelligence-based data architecture management and control method according to the embodiment may be executed by the server 100 shown in fig. 1, and the detailed description of the artificial intelligence-based data architecture management and control method is provided below.

Step S110, current application software log information of each software service terminal 200 is obtained, and software service link relation tracking is performed on the current application software log information based on the artificial intelligence model, so as to convert the current application software log information into current software service link relation information, and processed link aggregation key link information is obtained.

In this embodiment, the software service link relationship may refer to a link relationship formed by an interaction process with a software service, for example, a plurality of interaction segments that may be formed by a plurality of process nodes that interact with software, where the interaction segments form a link, so as to form the software service link relationship. In addition, link aggregation key information may refer to the key links of the software traffic link relationship aggregation, so that the portion of the key nodes in the target system software may be located. For example, link aggregation critical link information may refer to at least some links of a critical node where one or more aggregates exist.

Step S120, generating a plurality of pieces of key link tracing information with different aggregation dimensions based on the link aggregation key link information, and respectively detecting link software architecture in the key link tracing information with different aggregation dimensions to obtain link software architecture information in the key link tracing information with different aggregation dimensions.

And step S130, migrating link software architecture information in the key link traceability information of a plurality of different aggregation dimensions to link aggregation key link information to obtain a plurality of software hierarchical classification architecture information.

For example, the link aggregation key link information can have software layering and classification information of each link aggregation key link, so that link software architecture information in key link traceability information of a plurality of different aggregation dimensions can be migrated to the software layering and classification information of each link aggregation key link, and a plurality of software layering and classification architecture information can be obtained.

And step S140, identifying a plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed architecture unit, and performing management and control operation and maintenance processing on the data architecture management and control components of the target system software according to the management and control architecture unit operation and maintenance information.

In this embodiment, the application software log information may refer to record information generated during each service operation of the target system software, and may include record information during a software service link relation calling process, for example.

Based on the above steps, the present embodiment analyzes the link relation information of the current software service based on the log information of the application software, thereby obtaining link aggregation key link information, then obtains a plurality of pieces of software hierarchical classification architecture information, and identifies the plurality of pieces of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information, so as to obtain the operation and maintenance information of the management and control architecture unit corresponding to the current architecture unit to be managed and controlled, and performs management and maintenance processing on the data architecture management and control component of the target system software according to the operation and maintenance information of the management and control architecture unit. Therefore, the data architecture management and control component of the target system software can be managed, controlled and maintained according to the analysis characteristics of the business links of a large amount of application software log information, and the matching degree of the software data architecture and the actual business scene is improved.

In one possible implementation manner, for step S140, in the process of identifying a plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information between link software architecture information to obtain the operation and maintenance information of the management and control architecture unit corresponding to the current to-be-managed and controlled architecture unit, the following exemplary sub-steps may be implemented.

In sub-step S141, an interaction configuration tag corresponding to the software architecture interaction configuration of the software architecture interaction configuration information between the link software architecture information is obtained, and preset software hierarchical classification architecture data corresponding to the interaction configuration tag is obtained from a preset software hierarchical classification architecture database according to the interaction configuration tag.

The preset software hierarchical classification architecture database comprises corresponding relations between interaction configuration labels and preset software hierarchical classification architecture data, wherein the preset software hierarchical classification architecture data are used for representing software hierarchical classification architecture data marked in software hierarchical classification architecture management and control characteristic information, which are analyzed by architecture components corresponding to the software architecture interaction configuration according to historical software hierarchical classification architecture management and control data of the software architecture interaction configuration.

In step S142, a target software hierarchical classification architecture node including a current architecture unit to be controlled is obtained from preset software hierarchical classification architecture data according to a plurality of software hierarchical classification architecture information, a target architecture adjustment object using the preset software hierarchical classification architecture data as an architecture adjustment object is determined according to the target software hierarchical classification architecture node, the target software hierarchical classification architecture node is sequentially divided into a plurality of architecture adjustment objects to be determined corresponding to the target architecture adjustment object based on the software service link relation characteristics of the plurality of software hierarchical classification architecture information, support vector machine model calculation is performed on each architecture adjustment object to obtain a corresponding support vector machine range with the target architecture adjustment object, when the support vector machine range does not meet the set range, the architecture adjustment object to be determined corresponding to the support vector machine range is recorded as a first data resource scanning object, and the target architecture adjustment object is a second data resource scanning object to obtain a data resource scanning object set formed by at least one first data resource scanning object and the second data resource scanning object.

And sub-step S143, determining a corresponding first data resource scanning object space based on at least one data resource scanning object set, dividing the target software hierarchical classification architecture node according to the set atlas selection range by taking the first data resource scanning object space as a reference, and respectively obtaining a plurality of second data resource scanning object spaces which correspond to each atlas selection range and contain the first data resource scanning object space.

Sub-step S144, analyzing the second data resource scan object space to obtain feature information of each data resource scan object set in the second data resource scan object space, determining a management and control level and a corresponding management and control architecture parameter of the data resource scan object set according to the feature information of the data resource scan object set, and determining the first data resource scan object sequence according to the management and control level and the corresponding management and control architecture parameter of the data resource scan object set.

Sub-step S145, determining a management and control sensing state formed by the data resource scanning object set satisfying the preset condition based on the first data resource scanning object sequence, the management and control hierarchy level of the data resource scanning object set and the corresponding management and control architecture parameter, determining one of the first management and control sensing state and the second management and control sensing state of each data resource scanning object space, and screening each data resource scanning object space according to one of the first management and control sensing state and the second management and control sensing state to obtain a screened data resource scanning object space corresponding to each data resource scanning object space.

In the substep S146, the other one of the first control sensing state and the second control sensing state is obtained based on the screened data resource scanning object space corresponding to each data resource scanning object space, the first control sensing state set is obtained according to the first control sensing states respectively corresponding to the data resource scanning object spaces, and the second control sensing state set is obtained according to the second control sensing states respectively corresponding to the data resource scanning object spaces.

Sub-step S147, determining a first state transition matrix corresponding to the first controlled sensing state set and a second state transition matrix corresponding to the second controlled sensing state set, and determining a first state offset vector corresponding to the first controlled sensing state set and a second state offset vector corresponding to the second controlled sensing state set based on the first controlled sensing state set and the first state transition matrix and the second controlled sensing state set and the second state transition matrix, respectively.

And S148, performing operation and maintenance sensing on the first state offset vector of the first control sensing state set and the second state offset vector corresponding to the second control sensing state set, and obtaining control matching characteristics of the software service link relation data associated with preset software hierarchical classification architecture data according to the sensing node set of the operation and maintenance sensing result to obtain control architecture unit operation and maintenance information corresponding to the current architecture unit to be controlled.

In one possible implementation manner, for step S110, in the process of performing software service link relation tracking on the current application software log information based on the artificial intelligence model to convert the current application software log information into the current software service link relation information, obtaining the processed link aggregation key link information, the following exemplary sub-steps may be implemented.

Sub-step S111, detecting a key node response segment in the current application software log information.

Sub-step S112, selecting a target key node response segment conforming to the application software log information variation range from the detected key node response segments.

In the substep S113, the software service link relation distribution corresponding to the response segment of the target key node is determined, and the link service feature set is constructed according to the link service distribution corresponding to the software service link relation distribution.

And step S114, according to the link service feature set, performing software service link relation tracking on the current application software log information based on the artificial intelligent model so as to convert the current application software log information into the current software service link relation information, and obtaining the processed link aggregation key link information.

In one possible implementation, for step S140, in the process of performing the management and maintenance processing on the data architecture management component of the target system software according to the management and maintenance information of the management and maintenance architecture unit, the following exemplary substeps may be implemented.

In sub-step S1491, according to the acquired operation and maintenance policy information and the preset operation and maintenance history information, which record the operation and maintenance information of the management and control architecture unit, operation and maintenance service parameters of a plurality of component operation services of the component software service of the data architecture management and control component for managing and controlling the target system software to be preset and associated service parameters between different component operation services are determined.

Each piece of preset operation and maintenance history information is one piece of preset operation and maintenance history information of the component software service of the data architecture management and control component of the target system software, and each piece of operation and maintenance strategy information is the operation and maintenance strategy information of the data architecture management and control component of the target system software.

And step S1492, setting the plurality of component operation services based on the determined operation and maintenance service parameters of the plurality of component operation services and the association service parameters among the different component operation services, so that the set operation and maintenance service parameters of the component operation services cover the set service parameters and the association service parameters among the set component operation services match the preset service parameters.

In the substep S1493, for any architecture management template information corresponding to the operation and maintenance information of the management and control architecture unit, according to the matching rate of the architecture management template information under each component operation service in the set component operation services, it is determined whether the architecture management template information matches with the component software service of the data architecture management component of the target system software.

In sub-step S1494, if it is determined that the architecture management and control template information matches the component software service of the data architecture management and control component of the target system software, the data architecture management and control component of the target system software is managed and controlled according to the architecture management and control template information, so that the architecture management and control template information matches the component software service of the data architecture management and control component of the target system software.

In one possible implementation manner, in the process of generating the link traceability information of a plurality of different aggregation dimensions based on the link aggregation link information, for the step S120, the following exemplary sub-steps may be implemented.

Sub-step S121, determining a to-be-managed architecture element tag in a link service index of the link aggregation key link information, where the to-be-managed architecture element tag includes a set of to-be-managed architecture element tags of the same key link trace information of the link aggregation key link information.

In the substep S122, the to-be-managed architecture unit tag is processed by presetting a structure description value in header file information of the to-be-managed architecture unit item sequence, and a first aggregate dimension representation matched with the to-be-managed architecture unit tag is determined.

Substep S123, determining, based on the first aggregate dimension representation, a second aggregate dimension representation that matches the label of the to-be-managed architectural element by presetting a structured parameter in header information in the sequence of to-be-managed architectural element items.

And S124, clustering the to-be-managed and controlled architecture unit labels based on the second aggregation dimension representation matched with the to-be-managed and controlled architecture unit labels by presetting clustering strategy information of the to-be-managed and controlled architecture unit item sequences so as to output a clustering result, and sequentially tracing link aggregation key link information according to the clustering result to obtain key link tracing information of a plurality of different aggregation dimensions.

In one possible implementation manner, for step S120, in a process of detecting link software architecture in the key link tracing information of multiple different aggregation dimensions respectively to obtain link software architecture information in the key link tracing information of multiple different aggregation dimensions, the following exemplary sub-steps may be implemented.

In the substep S125, for each set of critical link tracing information, first software source architecture information corresponding to state detection data of the architecture unit to be controlled of the critical link tracing information and second software source architecture information corresponding to probe implantation data of the architecture unit to be controlled of the critical link tracing information are constructed. The first software source architecture information and the second software source architecture information respectively comprise a plurality of architecture service levels of different architecture categories.

Sub-step S126 extracts the initial architecture business level data of the architecture cell state detection data to be managed at any architecture business level of the first software source architecture information, and determines the architecture business level with the smallest architecture category in the second software source architecture information as the target architecture business level.

Sub-step S127, migrating the initial architecture service level data to the target architecture service level according to correlation coefficients among the key link tracing information of a plurality of different aggregation dimensions, obtaining migration architecture service layering data in the target architecture service level, and generating a data association set between the to-be-managed architecture unit state detection data and the to-be-managed architecture unit probe implantation data based on migration paths between the initial architecture service level data and the migration architecture service layering data.

Sub-step S128, the migration architecture business layering data is taken as a reference to obtain target architecture business layering data in a target architecture business layering, the target architecture business layering data is migrated to an architecture business layering where initial architecture business layering data is located according to a data association sequence corresponding to a data association set, a business relation architecture result corresponding to the target architecture business layering data is obtained in the architecture business layering where the initial architecture business layering data is located, and link software architecture information of the state detection data of the architecture unit to be managed is determined according to the business relation architecture result.

Fig. 3 is a schematic diagram of functional modules of an artificial intelligence-based data architecture management and control system 300 according to an embodiment of a method executed by the server 100, where the functional modules of the artificial intelligence-based data architecture management and control system 300 may be divided, that is, the following functional modules corresponding to the artificial intelligence-based data architecture management and control system 300 may be used to execute the embodiments of the method executed by the server 100. The data architecture management system 300 based on artificial intelligence may include a tracking module 310, a generating module 320, a determining module 330, and a management module 340, and the functions of the respective functional modules of the data architecture management system 300 based on artificial intelligence are described in detail below.

The tracking module 310 is configured to obtain current application software log information of each software service terminal 200, and perform software service link relation tracking on the current application software log information based on the artificial intelligence model, so as to convert the current application software log information into current software service link relation information, thereby obtaining processed link aggregation key link information. Wherein the tracking module 310 may be used to perform the step S110 described above, and the detailed implementation of the tracking module 310 may be referred to the detailed description of the step S110.

The generating module 320 is configured to generate a plurality of link tracing information of different aggregation dimensions based on the link aggregation link information, and detect link software architecture in the link tracing information of the plurality of different aggregation dimensions, so as to obtain link software architecture information in the link tracing information of the plurality of different aggregation dimensions. Wherein, the generating module 320 may be used to perform the step S120 described above, and the detailed implementation of the generating module 320 may be referred to the detailed description of the step S120.

The determining module 330 is configured to migrate link software architecture information in the link traceability information of multiple different aggregation dimensions to link aggregation key link information, so as to obtain multiple software hierarchical classification architecture information. Wherein, the determining module 330 may be configured to perform the above step S130, and the detailed implementation of the determining module 330 may be referred to the above detailed description of step S130.

The management and control module 340 is configured to identify a plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information, obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit, and perform management and control operation and maintenance processing on the data architecture management and control component of the target system software according to the management and control architecture unit operation and maintenance information. Wherein, the control module 340 may be used to perform the above step S140, and the detailed implementation of the control module 340 may be referred to the above detailed description of step S140.

In one possible implementation, the management module 340 is specifically configured to:

Acquiring an interaction configuration tag corresponding to the software architecture interaction configuration information between link software architecture information, and acquiring preset software hierarchical classification architecture data corresponding to the interaction configuration tag from a preset software hierarchical classification architecture database according to the interaction configuration tag, wherein the preset software hierarchical classification architecture database comprises a corresponding relation between the interaction configuration tag and the preset software hierarchical classification architecture data, and the preset software hierarchical classification architecture data is used for representing software hierarchical classification architecture data marked in software hierarchical classification architecture management and control feature information analyzed by an architecture component corresponding to the software architecture interaction configuration according to historical software hierarchical classification architecture management and control data of the software architecture interaction configuration;

Acquiring target software hierarchical classification architecture nodes containing current architecture units to be managed from preset software hierarchical classification architecture data according to a plurality of pieces of software hierarchical classification architecture information, determining target architecture adjustment objects taking the preset software hierarchical classification architecture data as architecture adjustment objects according to the target software hierarchical classification architecture nodes, dividing the target software hierarchical classification architecture nodes into a plurality of to-be-determined architecture adjustment objects corresponding to the target architecture adjustment objects in sequence based on the software service link relation characteristics of the plurality of pieces of software hierarchical classification architecture information, performing support vector machine model calculation on each to-be-determined architecture adjustment object and the target architecture adjustment objects respectively to obtain corresponding support vector machine ranges, and recording to-be-determined architecture adjustment objects corresponding to the support vector machine ranges as first data resource scanning objects when the support vector machine ranges do not meet the set ranges, wherein the target architecture adjustment objects are second data resource scanning objects so as to obtain a data resource scanning object set formed by at least one first data resource scanning object and second data resource scanning object;

determining a corresponding first data resource scanning object space based on at least one data resource scanning object set, dividing the target software hierarchical classification architecture nodes according to the set atlas selection range by taking the first data resource scanning object space as a reference, and respectively obtaining a plurality of second data resource scanning object spaces which correspond to each atlas selection range and contain the first data resource scanning object space;

Determining a management and control perception state formed by the data resource scanning object sets meeting preset conditions based on the first data resource scanning object sequence, the management and control hierarchy of the data resource scanning object sets and the corresponding management and control framework parameters, determining one of the first management and control perception state and the second management and control perception state of each data resource scanning object space, and screening each data resource scanning object space according to one of the first management and control perception state and the second management and control perception state to obtain screened data resource scanning object spaces corresponding to each data resource scanning object space;

And performing operation and maintenance sensing on the first state offset vector of the first control sensing state set and the second state offset vector corresponding to the second control sensing state set, and obtaining control matching characteristics of the software service link relation data associated with preset software hierarchical classification architecture data according to a sensing node set of an operation and maintenance sensing result so as to obtain operation and maintenance information of a control architecture unit corresponding to the current architecture unit to be controlled.

According to the acquired operation and maintenance strategy information of the operation and maintenance information of the record management and control architecture unit and the preset operation and maintenance history information, determining operation and maintenance service parameters of a plurality of component operation services of a component software service of a data architecture management and control component for managing and controlling target system software to be preset and associated service parameters among different component operation services; each piece of preset operation and maintenance history information is one piece of preset operation and maintenance history information of component software service of a data architecture management and control component of the target system software, and each piece of operation and maintenance strategy information is operation and maintenance strategy information of the data architecture management and control component of the target system software;

Setting the plurality of component operation services based on the determined operation and maintenance service parameters of the plurality of component operation services and the association service parameters among different component operation services, so that the set operation and maintenance service parameters of the component operation services cover the set service parameters and the association service parameters among the set component operation services are matched with preset service parameters;

Judging whether the architecture management and control template information is matched with the component software service of the data architecture management and control component of the target system software according to the matching rate of the architecture management and control template information under each component operation service in the set component operation services aiming at any architecture management and control template information corresponding to the management and control architecture unit operation and maintenance information;

If the framework management and control template information is determined to be matched with the component software service of the data framework management and control component of the target system software, management and control operation and maintenance processing is carried out on the data framework management and control component of the target system software according to the framework management and control template information, so that the framework management and control template information is matched with the component software service of the data framework management and control component of the target system software.

In one possible implementation, the generating module 320 is specifically configured to:

determining a to-be-managed and controlled architecture unit label in a link service index of link aggregation key link information, wherein the to-be-managed and controlled architecture unit label comprises a set of to-be-managed and controlled architecture unit labels of the same key link traceability information of the link aggregation key link information;

processing the to-be-controlled architecture unit labels by presetting a structure description value in header file information of an architecture unit item sequence to be controlled, and determining a first convergence dimension representation matched with the to-be-controlled architecture unit labels;

Determining a second aggregation dimension representation matched with the label of the architecture unit to be controlled by presetting a structuring parameter in header file information in the sequence of the architecture unit to be controlled based on the first aggregation dimension representation;

Based on the second aggregation dimension representation matched with the to-be-managed and controlled architecture unit labels, clustering the to-be-managed and controlled architecture unit labels by presetting clustering strategy information of the to-be-managed and controlled architecture unit item sequences so as to output clustering results, and sequentially tracing link aggregation key link information according to the clustering results to obtain key link tracing information of a plurality of different aggregation dimensions.

It should be noted that, it should be understood that the division of the modules of the above apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated. And these modules may all be implemented in software in the form of calls by the processing element; or can be realized in hardware; the method can also be realized in a form of calling software by a processing element, and the method can be realized in a form of hardware by a part of modules. For example, the tracking module 310 may be a processing element that is set up separately, may be implemented in a chip of the above apparatus, or may be stored in a memory of the above apparatus in the form of program codes, and may be called by a processing element of the above apparatus to execute the functions of the above tracking module 310. The implementation of the other modules is similar. In addition, all or part of the modules can be integrated together or can be independently implemented. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in a software form.

For example, the modules above may be one or more integrated circuits configured to implement the methods above, such as: one or more Application SPECIFIC INTEGRATED Circuits (ASIC), or one or more microprocessors (DIGITAL SIGNAL processors, DSP), or one or more field programmable gate arrays (field programmable GATE ARRAY, FPGA), etc. For another example, when a module above is implemented in the form of processing element scheduler code, the processing element may be a general purpose processor, such as a central processing unit (centralprocessing unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

Fig. 4 is a schematic hardware structure of a server 100 for implementing the artificial intelligence-based data architecture management method according to an embodiment of the present invention, where, as shown in fig. 4, the server 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.

In a specific implementation, at least one processor 110 executes computer-executable instructions (such as the tracking module 310, the generating module 320, the determining module 330, and the managing module 340 included in the artificial intelligence-based data architecture managing system 300 shown in fig. 3) stored in the machine-readable storage medium 120, so that the processor 110 may perform the artificial intelligence-based data architecture managing method according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be used to control the transceiver 140 to perform transceiving actions, so that data may be transceived with the aforementioned software service terminal 200.

The specific implementation process of the processor 110 may refer to the above-mentioned method embodiments executed by the server 100, and the implementation principle and technical effects are similar, which are not described herein again.

In the embodiment shown in fig. 4 described above, it should be understood that the processor may be a central processing unit (english: central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (english: DIGITAL SIGNAL processor, DSP), application specific integrated circuits (english: application SpecificIntegrated Circuit, ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.

The machine-readable storage medium 120 may include high-speed RAM memory and may also include non-volatile storage NVM, such as at least one magnetic disk memory.

Bus 130 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus 130 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the drawings of the present invention are not limited to only one bus or to one type of bus.

In addition, the embodiment of the invention also provides a readable storage medium, wherein computer execution instructions are stored in the readable storage medium, and when a processor executes the computer execution instructions, the data architecture management and control method based on artificial intelligence is realized.

While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.

Meanwhile, the specification uses specific words to describe the embodiments of the specification. Such as "one possible implementation," "one possible example," and/or "exemplary" means a particular feature, structure, or characteristic associated with at least one embodiment of the present description. Thus, it should be emphasized and noted that two or more references to "one possible implementation", "one possible example", and/or "exemplary" in this specification at different positions are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.

Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims

1. A data architecture management and control method based on artificial intelligence, which is applied to a server, the method comprising:

identifying the multiple pieces of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit, and performing management and control operation and maintenance processing on a data architecture management and control component of target system software according to the management and control architecture unit operation and maintenance information;

The step of performing software service link relation tracking on the current application software log information based on the artificial intelligence model to convert the current application software log information into current software service link relation information to obtain processed link aggregation key link information comprises the following steps:

2. The method for managing and controlling data architecture based on artificial intelligence according to claim 1, wherein the step of identifying the plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information to obtain the operation and maintenance information of the management and control architecture unit corresponding to the current to-be-managed and controlled architecture unit comprises the following steps:

3. The method for controlling a data architecture based on artificial intelligence according to any one of claims 1 to 2, wherein the step of performing a controlling operation and maintenance process on a data architecture controlling component of the target system software according to the controlling architecture unit operation and maintenance information includes:

4. The method for managing and controlling a data architecture based on artificial intelligence according to any one of claims 1 to 3, wherein the step of generating a plurality of link trace information with different aggregation dimensions based on the link aggregation link information includes:

5. The method for managing and controlling data structures based on artificial intelligence according to claim 1, wherein the step of detecting link software structures in the plurality of pieces of link trace information with different aggregation dimensions respectively to obtain link software structure information in the plurality of pieces of link trace information with different aggregation dimensions comprises:

6. An artificial intelligence based data architecture management and control system for a server in communication with a software service terminal, the system comprising:

the management and control module is used for identifying the plurality of software hierarchical classification architecture information according to the software architecture interaction configuration information among the link software architecture information to obtain management and control architecture unit operation and maintenance information corresponding to the current to-be-managed and controlled architecture unit, and managing and controlling the data architecture management and control components of the target system software according to the management and control architecture unit operation and maintenance information;

7. The artificial intelligence based data architecture management and control system of claim 6, wherein the management and control module is specifically configured to:

8. The artificial intelligence based data architecture management and control system of claim 6, wherein the management and control module is specifically configured to:

9. The artificial intelligence based data architecture management system of claim 6, wherein the generation module is specifically configured to: