CN111176613B - Collaborative Task Automatic Decomposition System Based on Architecture Model - Google Patents

Collaborative Task Automatic Decomposition System Based on Architecture Model Download PDF

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Publication number
CN111176613B
CN111176613B CN201911358925.2A CN201911358925A CN111176613B CN 111176613 B CN111176613 B CN 111176613B CN 201911358925 A CN201911358925 A CN 201911358925A CN 111176613 B CN111176613 B CN 111176613B
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task
information
flow
module
information table
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CN111176613A (en
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王立伟
王晓路
张冶
汪宏昇
张恒
郭大庆
刘佳
池元成
崔毅楠
王长庆
贾长伟
贾倩
刘闻
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China Academy of Launch Vehicle Technology CALT
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/10Requirements analysis; Specification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/20Software design
    • G06F8/22Procedural

Abstract

The invention relates to a collaborative task automatic decomposition system based on an architecture model, which comprises an architecture model construction module, wherein the architecture model construction module is used for completing construction and editing of the architecture model according to an externally input architecture model description file and converting the architecture model into an association relation table; the flow engine design module receives the architecture model selected by the user and generates an instantiation flow template; the task management module loads each flow node into a task according to time sequence, creates subtasks, takes the attribute information of the flow nodes as subtask information, receives the subtask information input by a user, and completes subtask creation; the dynamic logic verification and time sequence optimization module determines the completion time of the configured instantiation flow node and takes the completion time as one attribute of the flow node, and the attribute is additionally stored in the flow information table; and after the task information is received, automatically calculating the completion time of the subsequent task and updating the task information table in real time.

Description

Collaborative task automatic decomposition system based on architecture model
Technical Field
The invention relates to a collaborative task automatic decomposition system based on an architecture model, belonging to the technical field of computer management informatization and simulation.
Background
Wu Jianghua doctor adopts UML-based meta-modeling method to study military information system architecture, namely, based on UML construction mechanism and constraint mechanism, meta-model of behavior model in military information system is constructed by adding time and state marks of meta-model in sequence diagram. However, with the development of information technology, the complexity of military information systems has led to increasing difficulty in system development. Directly causing the system users and developers to communicate with each other more and more difficult, and finally causing the developed system to fail to meet the requirements.
Disclosure of Invention
The invention solves the technical problems that: the system overcomes the defects of the prior art, provides an automatic collaborative task decomposition system based on an architecture model, and is convenient for users and developers to understand and apply.
The solution of the invention is as follows: the collaborative task automatic decomposition system based on the system structure model comprises a system structure model construction module, a flow engine design module, a task management module, a dynamic logic verification and time sequence optimization module and a permission control module;
the system structure model construction module is used for completing construction and editing of a system structure model according to an externally input system structure model description file, wherein the system structure model comprises a VO2 node connection view, an OV4 organization relation view, an OV5 activity model, an OV6 operation rule, an OV6 state transition diagram, an OV6 event view and an OV7 logic data model, and the system structure model is converted into an association relation table, and the association relation table comprises classes and class attribute information for representing the system structure model;
the flow engine design module receives the architecture model selected by the user, reads the class and class attribute information of the architecture model from the corresponding association relation table, generates an instantiation flow template of the architecture model, adopts an IDEF0 method to initially configure the attribute of each node in the instantiation flow template, stores the configured instantiation flow information into a flow information table, and sends the configured instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the flow comprises an input condition, a constraint condition, a support resource, an output condition and an executive;
the task management module extracts the instantiation process selected by the user from the process information table according to the time sequence, loads each process node into a task, creates subtasks, and stores the attribute information of the process node into the task information table as subtask information; receiving the state, the task content, the starting time and the finishing form of each subtask input by a user, perfecting subtask information, adding the subtask information after perfecting to a task information table, and finishing subtask creation; after all subtasks are successfully created, pushing a task information table to a dynamic logic verification and time sequence optimization module and a permission control module; receiving a task state input by a task executive person, updating a task information table in real time, and pushing the updated task information table to a permission control module, a dynamic logic verification and time sequence optimization module; receiving a document input by a task executive and synchronizing the document to a document management module;
the dynamic logic verification and time sequence optimization module determines the completion time of the configured instantiation flow node and takes the completion time as one attribute of the flow node, and the attribute is additionally stored in the flow information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating the task information table in real time, and pushing the updated task information to the permission control module;
the permission control module determines access permissions for different personnel roles according to personnel role information input from the outside to form a permission information table; and pushing each piece of subtask information in the task information table to the authorized user.
The constraint condition comprises time constraint, and the dynamic logic verification and time sequence optimization module calculates the completion time of the configured instantiation flow node as the time constraint of the configured instantiation flow node.
The specific method for automatically calculating the completion time of the subsequent task by the dynamic logic verification and time sequence optimization module comprises the following steps:
(1) Obtaining the starting time of a subsequent task according to the starting time of the current task information and the task completion time;
(2) And obtaining the ending time of the follow-up task according to the starting time completion time of the follow-up task information.
The collaborative task automatic decomposition system based on the system structure model also comprises a data exchange module, wherein the data exchange module reads the authority information table, acquires the authority of the user, and displays the attribute information of each subtask to the authorized user through reading the task information table.
The association relation table, the system structure model, the flow information table and the task information table are stored in a database through a data exchange module.
Compared with the prior art, the invention has the beneficial effects that:
(1) The invention establishes a model of a full life cycle of test training based on a node connection view, an organization relation view, an activity model, an operation rule, state transition and a logic data model in DODAF.
(2) The invention utilizes the label technology engine and combines the authority control method to realize the authority control of task execution.
(3) The invention introduces a dynamic time sequence segmentation method into a business flow design process, and realizes the real-time calculation function of task execution time through time sequence optimization in the task execution process.
(4) The invention realizes concurrency control by adopting the mutual exclusion lock method, and can effectively solve the mutual exclusion operation between an administrator and a user.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a diagram of an architecture building block implementation in the system of the present invention;
FIG. 3 is a flow creation implementation in the system of the present invention;
FIG. 4 is a process for implementing tag and rights settings;
FIG. 5 is a document operation flow implementation process in the system of the present invention.
Detailed Description
The invention is further illustrated below with reference to examples.
The invention uses the combat view, the system view and the technical standard view to describe the system architecture, analyzes the association relation between the system architecture products through the process engine, converts the system architecture model into the process nodes for decomposing and executing the tasks, and finally forms a set of description methods and systems of standard system structures and functions which can be understood by system users and developers.
As shown in FIG. 1, the collaborative task automatic decomposition system and method based on the architecture model provided by the invention are composed of an architecture model construction module, a flow engine design module, a task management module, a dynamic logic verification and time sequence optimization module, a document management module, a permission control module, a data exchange module and an exception handling module, wherein the system adopts a B/S architecture design, realizes module permissions of different users through permission design, and realizes data transmission among the modules through an interface technology.
The system structure model construction module is used as a basic module of system construction, and completes construction, editing and release of a system structure model according to an externally input system structure model description file, wherein the system structure model comprises a VO2 node connection view, an OV4 organization relation view, an OV5 activity model, an OV6 operation rule, an OV6 state transition diagram, an OV6 event view and an OV7 logic data model, the system structure model is converted into an association relation table, the association relation table comprises class and class attribute information representing the system structure model, and the association relation table and the system structure model are stored; class attribute information includes class-to-class relationships;
the flow engine design module receives the architecture model selected by the user, reads the class and class attribute information of the architecture model from the corresponding association relation table, generates an instantiation flow template of the architecture model, adopts an IDEF0 method to initially configure the attribute of each node in the instantiation flow template, stores the configured instantiation flow information into a flow information table, and sends the configured instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the flow comprises an input condition, a constraint condition, a support resource, an output condition and an executive; the design input is a task book, a demand analysis report and a data file, the design constraint comprises a time constraint, a cost, a parameter limit, an upper-level requirement and the like, and the support resource comprises a design specification, a design manual, a design tool, a standard and the like.
The task management module extracts the instantiation process selected by the user from the process information table according to the time sequence, loads each process node into a task, creates subtasks, and stores the attribute information of the process node into the task information table as subtask information; receiving the state, the task content, the starting time and the finishing form of each subtask input by a user, perfecting subtask information, adding the subtask information after perfecting to a task information table, and finishing subtask creation; after all subtasks are successfully created, pushing a task information table to a dynamic logic verification and time sequence optimization module and a permission control module; receiving a task state input by a task executive person, updating a task information table in real time, and pushing the updated task information table to a permission control module, a dynamic logic verification and time sequence optimization module; and receiving the document input by the task executive and synchronizing the document to the document management module.
The dynamic logic verification and time sequence optimization module determines the completion time of the configured instantiation flow node and takes the completion time as one attribute of the flow node, and the attribute is additionally stored in the flow information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating the task information table in real time, and pushing the updated task information to the permission control module; the dynamic logic verification and timing optimization module determines the completion time of the configured instantiation process node as the time constraint of the configured instantiation process node. The specific method for automatically calculating the completion time of the subsequent task by the module comprises the following steps:
(1) Obtaining the starting time of a subsequent task according to the starting time of the current task information and the task completion time;
(2) And obtaining the ending time of the follow-up task according to the starting time completion time of the follow-up task information.
The permission control module determines access permissions for different personnel roles according to personnel role information input from the outside to form a permission information table; and pushing each piece of subtask information in the task information table to the authorized user.
A document management module: creating a document library according to a task information table generated by the task management module, defining the number of documents required by the task, creating the document based on a document template library according to the requirement of document creation, and storing the document into the document library. The document name adopts a format of 'task id + document template id + random number', a random generation algorithm is adopted to generate a unique document name, and the unique document name and the mapping relation of the task information are stored in a database, namely: docandthaskinfo; the document management module is provided with document full period management and comprises; document generation, editing, discussion, merging and version management, and the generated document is transmitted to a task management module as an input parameter.
And a data exchange module: and the authority information table is used for acquiring the authority of the user, and the attribute information of each subtask is displayed to the user with the authority by reading the task information table. The task attribute information comprises task starting time and task ending time; and through traversing the error information table information, some error information is also displayed to the user, so that the user can conveniently change the operation.
An exception handling module: processing various abnormal conditions of the system, classifying abnormal information according to users and operation function points, including: synchronization errors, document editing errors, rights issues, failed submittal tasks, and storing these anomaly information into an error information table, which can be viewed by a system administrator in different ways.
The association relation table, the system structure model, the flow information table and the task information table are stored in a database through a data exchange module.
The flow of the architectural elements of the present invention is shown in FIG. 2.
(1-1) combining with system task requirements, and completing system task requirements, planning and the like based on an OV2 node connection view, an OV4 organization relationship view, an OV5 activity model, an OV6 operation rule, an OV6 state transition view, an OV6 event view and an OV7 logic data model description file to obtain an OV2 node connection view, an OV4 organization relationship view, an OV5 activity model, an OV6 operation rule, an OV6 state transition view, an OV6 event view and an OV7 logic data model;
(1-2) storing the OV2 node connection view, the OV4 organization relationship view, the OV5 activity model, the OV6 operation rule, the OV6 state transition diagram, the OV6 event view, the OV7 logical data model and the association relationship table in a database.
The process of creating the flow of the present invention is shown in fig. 3.
(2-1) analyzing an OV2 node connection view, an OV4 organization relation view, an OV5 activity model, an OV6 operation rule, an OV6 state transition diagram, an OV6 event view and an OV7 logic data model, and obtaining each flow and node information thereof;
(2-2) reading the association relation table, automatically generating a flow node, and drawing on a canvas;
(2-3) selecting a flow node, and editing attribute information of the flow node, wherein the attribute information comprises information such as input, output, constraint, support and the like;
(2-4) calling a dynamic logic verification and time sequence optimization module, calculating the completion time of the flow node, setting the starting time and the ending time of the flow node, and storing the information into a related data table;
(2-5), checking the flow and publishing the flow.
The implementation process of the authority setting in the present invention is shown in fig. 4.
(3-1) analyzing the task information table to obtain the task information;
(3-2) analyzing task information to obtain the id of the task;
(3-3) acquiring document template information according to the task id, and generating a new document based on the document template;
(3-4) acquiring user information according to the task id;
(3-5) analyzing task requirements, and setting the authority of the user;
(3-6) renaming and setting according to the document name rule by combining the user information;
(3-7) establishing an association relation between the user and the document and storing the association relation into a database;
(3-8) generating a configuration file of user and document relationships;
(3-9), ending.
As shown in FIG. 5, the document operational flow may upload the document through the document management module, and then be associated with the task flow; the functions of editing the document, authority design and the like can be realized by uploading the document through the milestone node of the task flow. The specific flow is as follows:
(4-1) reading user and authority information through a data exchange module;
(4-2) uploading the document and editing basic attribute information of the document;
(4-3) obtaining the task ID and associating the ID with the document information;
(4-4) acquiring user authority information and associating the user authority information with the document ID;
(4-5) storing the document library;
on the basis of researching the DOD architecture framework, the description and analysis method is extracted and refined, factors related to combat activities are eliminated, the architecture framework for describing the military information system is proposed from the aspects of system business and technology, design steps and framework contents are described, flow design is achieved, and the sequence and completion time of subsequent tasks are automatically optimized by calling dynamic logic verification and time sequence optimization methods in the flow design process and task execution process.
Although the present invention has been described in terms of the preferred embodiments, it is not intended to be limited to the embodiments, and any person skilled in the art can make any possible variations and modifications to the technical solution of the present invention by using the methods and technical matters disclosed above without departing from the spirit and scope of the present invention, so any simple modifications, equivalent variations and modifications to the embodiments described above according to the technical matters of the present invention are within the scope of the technical matters of the present invention.

Claims (5)

1. The collaborative task automatic decomposition system based on the system structure model is characterized by comprising a system structure model construction module, a flow engine design module, a task management module, a dynamic logic verification and time sequence optimization module and a permission control module;
the system structure model construction module is used for completing construction and editing of a system structure model according to an externally input system structure model description file, wherein the system structure model comprises an OV2 node connection view, an OV4 organization relation view, an OV5 activity model, an OV6 operation rule, an OV6 state transition diagram, an OV6 event view and an OV7 logic data model, and the system structure model is converted into an association relation table, and the association relation table comprises classes and class attribute information for representing the system structure model;
the flow engine design module receives the architecture model selected by the user, reads the class and class attribute information of the architecture model from the corresponding association relation table, generates an instantiation flow template of the architecture model, adopts an IDEF0 method to initially configure the attribute of each node in the instantiation flow template, stores the configured instantiation flow information into a flow information table, and sends the configured instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the flow comprises an input condition, a constraint condition, a support resource, an output condition and an executive;
the task management module extracts the instantiation process selected by the user from the process information table according to the time sequence, loads each process node into a task, creates subtasks, and stores the attribute information of the process node into the task information table as subtask information; receiving the state, the task content, the starting time and the finishing form of each subtask input by a user, perfecting subtask information, adding the subtask information after perfecting to a task information table, and finishing subtask creation; after all subtasks are successfully created, pushing a task information table to a dynamic logic verification and time sequence optimization module and a permission control module; receiving a task state input by a task executive person, updating a task information table in real time, and pushing the updated task information table to a permission control module, a dynamic logic verification and time sequence optimization module; receiving a document input by a task executive and synchronizing the document to a document management module;
the dynamic logic verification and time sequence optimization module determines the completion time of the configured instantiation flow node and takes the completion time as one attribute of the flow node, and the attribute is additionally stored in the flow information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating the task information table in real time, and pushing the updated task information to the permission control module;
the permission control module determines access permissions for different personnel roles according to personnel role information input from the outside to form a permission information table; and pushing each piece of subtask information in the task information table to the authorized user.
2. The collaborative task automatic decomposition system based on an architecture model of claim 1, wherein the constraints include time constraints, and the dynamic logic verification and timing optimization module calculates the configured instantiation process node completion time as the configured instantiation process node time constraints.
3. The collaborative task automatic decomposition system based on an architecture model according to claim 1, wherein the specific method for automatically calculating the completion time of a subsequent task by the dynamic logic verification and timing optimization module is as follows:
(1) Obtaining the starting time of a subsequent task according to the starting time of the current task information and the task completion time;
(2) And obtaining the ending time of the follow-up task according to the starting time completion time of the follow-up task information.
4. The collaborative task automatic decomposition system based on an architecture model according to claim 1, further comprising a data exchange module, wherein the data exchange module reads the authority information table to obtain the authority of the user, and displays the attribute information of each subtask to the authorized user by reading the task information table.
5. The collaborative task automatic decomposition system based on an architecture model according to claim 4, wherein the association table, the architecture model, the flow information table, the task information table are stored in a database through a data exchange module.
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CN112631559A (en) * 2020-12-24 2021-04-09 中国航发控制系统研究所 Software architecture and scheduling design method based on model development
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