CN111176613A - Collaborative task automatic decomposition system based on architecture model - Google Patents
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Abstract
The invention relates to a collaborative task automatic decomposition system based on an architecture model, which comprises an architecture model construction module, a collaborative task automatic decomposition module and a collaborative task automatic decomposition 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 incidence relation table; the flow engine design module receives the system structure model selected by the user and generates an instantiated flow template; the task management module loads each process node into the task according to the time sequence to create a subtask, takes the process node attribute information as subtask information, receives subtask information input by a user and completes subtask creation; the dynamic logic verification and time sequence optimization module is used for determining the configured instantiated process node completion time, taking the instantiated process node completion time as an attribute of the process node, and additionally storing the instantiated process node completion time into a process information table; after receiving the task information, the completion time of the subsequent task is automatically calculated, and the task information table is updated in real time.
Description
Technical Field
The invention relates to a collaborative task automatic decomposition system based on an architecture model, and belongs to the technical field of computer management informatization and simulation.
Background
The WUJIANGHUA adopts a UML-based meta-modeling method to research a military information system architecture, namely, on the basis of a construction mechanism and a constraint mechanism of UML, a meta-model of a behavior model in a military information system is constructed by adding time and state marks of the meta-model in a sequence diagram. However, as information technology has developed, the complexity of military information systems has made system development more and more difficult. The system user and the developer are difficult to communicate with each other, and finally the developed system cannot meet the requirement.
Disclosure of Invention
The technical problem solved by the invention is as follows: the system overcomes the defects of the prior art, provides the automatic collaborative task decomposition system based on the architecture model, and is convenient for users and developers to understand and apply.
The technical scheme of the invention is as follows: the system comprises an architecture model construction module, a flow engine design module, a task management module, a dynamic logic verification and time sequence optimization module and an authority control module;
the system structure model building module completes the building and editing of the 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 incidence relation table, and the incidence relation table comprises a class representing the system structure model and class attribute information;
the flow engine design module receives the system structure model selected by the user, reads the class and class attribute information of the system structure model from the corresponding incidence relation table, generates an instantiation flow template of the system structure model, initially configures the attribute of each node in the instantiation flow template by adopting an IDEF0 method, stores the configured instantiation flow information into a flow information table, and sends the instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the process 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 the task, creates a subtask, and stores the process node attribute information as subtask information into the task information table; receiving each subtask state, task content, starting time and completion form input by a user, perfecting subtask information, adding the improved subtask information to a task information table, and completing subtask creation; after all subtasks are successfully created, a task information table is pushed to a dynamic logic verification and timing sequence optimization module and an authority control module; receiving a task state input by a task executive, updating a task information table in real time, and pushing the updated task information table to an authority control module and 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 is used for determining the configured instantiated process node completion time, taking the instantiated process node completion time as an attribute of the process node, and additionally storing the instantiated process node completion time into a process information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating a task information table in real time, and pushing the updated task information to an authority control module;
the authority control module determines access authority for different personnel roles according to externally input personnel role information to form an authority 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 instantiated process node as the time constraint of the configured instantiated process node.
The specific method for automatically calculating the completion time of the subsequent task by the dynamic logic verification and time sequence optimization module is as follows:
(1) obtaining the starting time of a subsequent task according to the starting time and the task completion time of the current task information;
(2) and obtaining the end time of the subsequent task according to the start time completion time of the subsequent task information.
The cooperative 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 to obtain the authority of the user, and the attribute information of each subtask is displayed to the authorized user by reading the task information table.
And the incidence relation table, the system structure model, the process 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 test training full life cycle and the like based on a node connection view, an organization relation view, an activity model, an operation rule, state conversion and logic data model in the DODAF.
(2) The invention realizes the authority control of task execution by using a label technology engine and combining an authority control method.
(3) The invention introduces a dynamic time sequence segmentation method into a business process 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 adopts a mutual exclusion lock method to realize concurrency control, 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 block diagram of an architecture building block implementation process in the system of the present invention;
FIG. 3 is a flow creation implementation in the system of the present invention;
FIG. 4 is an implementation of label and permission setting;
FIG. 5 is a document operation flow implementation process in the system of the present invention.
Detailed Description
The invention is further illustrated by the following examples.
The invention uses the battle view, the system view and the technical standard view to describe the system structure of the system, analyzes the incidence relation among the system structure products through the process engine, converts the system structure model into the process nodes for task decomposition and execution, and finally forms a set of standard system structure and function description method and system which can be understood by the system user and the developer.
As shown in figure 1, the system and the method for automatically decomposing the collaborative task based on the system structure model are composed of a system structure model building module, a process engine design module, a task management module, a dynamic logic verification and time sequence optimization module, a document management module, an authority control module, a data exchange module and an exception handling module, the system adopts a B/S architecture design, the module authorities of different users are realized through the authority design, and the data transmission among the modules is realized through an interface technology.
The system structure model building module is used as a basic module for system construction, completes the building, editing and publishing of the system structure model according to an externally input system structure model description file, 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 incidence relation table, the incidence relation table comprises classes representing the system structure model and class attribute information, and the incidence relation table and the system structure model are stored; the class attribute information comprises the relationship between classes;
the flow engine design module receives the system structure model selected by the user, reads the class and class attribute information of the system structure model from the corresponding incidence relation table, generates an instantiation flow template of the system structure model, initially configures the attribute of each node in the instantiation flow template by adopting an IDEF0 method, stores the configured instantiation flow information into a flow information table, and sends the instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the process comprises an input condition, a constraint condition, a support resource, an output condition and an executive; the design input is a task book, a requirement analysis report and a data file, the design constraint comprises time constraint, cost, parameter limitation, superior requirement and the like, and the support resource comprises 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 the task, creates a subtask, and stores the process node attribute information as subtask information into the task information table; receiving each subtask state, task content, starting time and completion form input by a user, perfecting subtask information, adding the improved subtask information to a task information table, and completing subtask creation; after all subtasks are successfully created, a task information table is pushed to a dynamic logic verification and timing sequence optimization module and an authority control module; receiving a task state input by a task executive, updating a task information table in real time, and pushing the updated task information table to an authority control module and a dynamic logic verification and time sequence optimization module; and receiving the document input by the task executive personnel, and synchronizing the document to the document management module.
The dynamic logic verification and time sequence optimization module is used for determining the configured instantiated process node completion time, taking the instantiated process node completion time as an attribute of the process node, and additionally storing the instantiated process node completion time into a process information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating a task information table in real time, and pushing the updated task information to an authority control module; the dynamic logic verification and timing optimization module determines that the configured instantiated process node completion time is a time constraint of the configured instantiated 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 and the task completion time of the current task information;
(2) and obtaining the end time of the subsequent task according to the start time completion time of the subsequent task information.
The authority control module determines access authority for different personnel roles according to externally input personnel role information to form an authority information table; and pushing each piece of subtask information in the task information table to the authorized user.
The document management module: and creating a document library according to a task information table generated by the task management module, determining the number of documents required by the task, creating the documents based on the document template library according to the requirement of document creation, and storing the documents into the document library. The document name adopts a 'task id + document template id + random number' format, adopts a random generation algorithm to generate a unique document name, and stores the unique document name and the mapping relation of the task information into a database, namely: DocAndTaskInfo; the document management module is provided with document full-period management and comprises; document generation, editing, discussion, merging and version management, wherein the generated document is used as an input parameter and is transmitted to the task management module.
A data exchange module: and the authority information table is used for acquiring the authority of the user and displaying the attribute information of each subtask to the user with the authority by reading the task information table. The task attribute information comprises task starting time and task ending time; 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 the abnormal information according to users and operation function points, comprising: synchronization error, document editing error, authority problem, failure of submitting task, and storing these abnormal information into an error information table, and a system administrator can check the abnormal information in different ways.
And the incidence relation table, the system structure model, the process information table and the task information table are stored in a database through a data exchange module.
The flow of the architecture components of the present invention is shown in FIG. 2.
(1-1) combining system task requirements, and completing system task requirements, planning and the like based on OV-2, OV-3, OV-5, OV-6 and OV-7 system structure model description files to obtain OV-2, OV-3, OV-5, OV-6 and OV-7 system structure models;
(1-2), storing OV-2, OV-3, OV-5, OV-6 and OV-7 architecture models and association relation tables thereof in a database.
The inventive flow creation process is shown in fig. 3.
(2-1) analyzing the OV-2, OV-3, OV-5, OV-6 and OV-7 system structure models to obtain each process and node information thereof;
(2-2) reading the association relation table, automatically generating a flow node, and drawing on a canvas;
(2-3) selecting flow nodes, and editing attribute information of the flow nodes, wherein the attribute information comprises input, output, constraint, support and other information;
(2-4) calling a dynamic logic verification and time sequence optimization module, calculating the completion time of the process node, setting the starting time and the ending time of the process node, and storing the information into a related data table;
and (2-5) checking flow and issuing flow.
The implementation process of the permission setting in the invention is shown in fig. 4.
(3-1) analyzing the task information table to obtain task information;
(3-2) analyzing the 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 the task requirements, and setting the authority of the user;
(3-6) renaming and setting are carried out 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 in a database;
(3-8) generating a configuration file of the relation between the user and the document;
and (3-9) ending.
As shown in fig. 5, the document operation process may upload the document through the document management module, and then associate the document with the task process; and documents can be uploaded through the task flow milestone nodes, so that the functions of document editing, authority design and the like are realized. The specific process 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) acquiring a task ID and associating the ID with the document information;
(4-4) acquiring user authority information and associating the document ID;
(4-5) saving the document library;
on the basis of researching a DOD (direction of arrival) architecture framework, a description and analysis method of the DOD architecture framework is extracted and refined, factors related to combat activities are deleted, the architecture framework for describing a military information system is provided from the perspective of system services and technologies, design steps and framework contents are set forth, flow design is achieved, and the sequence and completion time of subsequent tasks are automatically optimized by calling a dynamic logic verification method and a time sequence optimization method in the process of flow design and task execution.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make variations and modifications of the present invention without departing from the spirit and scope of the present invention by using the methods and technical contents disclosed above.
Claims (5)
1. The cooperative task automatic decomposition system based on the system structure model is characterized by comprising a system structure model building module, a flow engine design module, a task management module, a dynamic logic verification and time sequence optimization module and an authority control module;
the system structure model building module completes the building and editing of the 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 incidence relation table, and the incidence relation table comprises a class representing the system structure model and class attribute information;
the flow engine design module receives the system structure model selected by the user, reads the class and class attribute information of the system structure model from the corresponding incidence relation table, generates an instantiation flow template of the system structure model, initially configures the attribute of each node in the instantiation flow template by adopting an IDEF0 method, stores the configured instantiation flow information into a flow information table, and sends the instantiation flow information to the dynamic logic verification and time sequence optimization module; the attribute of each node in the process 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 the task, creates a subtask, and stores the process node attribute information as subtask information into the task information table; receiving each subtask state, task content, starting time and completion form input by a user, perfecting subtask information, adding the improved subtask information to a task information table, and completing subtask creation; after all subtasks are successfully created, a task information table is pushed to a dynamic logic verification and timing sequence optimization module and an authority control module; receiving a task state input by a task executive, updating a task information table in real time, and pushing the updated task information table to an authority control module and 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 is used for determining the configured instantiated process node completion time, taking the instantiated process node completion time as an attribute of the process node, and additionally storing the instantiated process node completion time into a process information table; after receiving the task information, automatically calculating the completion time of the subsequent task, updating a task information table in real time, and pushing the updated task information to an authority control module;
the authority control module determines access authority for different personnel roles according to externally input personnel role information to form an authority information table; and pushing each piece of subtask information in the task information table to the authorized user.
2. The architecture model-based collaborative task automatic decomposition system according to claim 1, wherein the constraint conditions include time constraints, and the dynamic logic verification and timing optimization module calculates a configured instantiated process node completion time as a configured instantiated process node time constraint.
3. The architecture model-based collaborative task automatic decomposition system according to claim 1, wherein the specific method for the dynamic logic verification and timing optimization module to automatically calculate the completion time of the subsequent task is:
(1) obtaining the starting time of a subsequent task according to the starting time and the task completion time of the current task information;
(2) and obtaining the end time of the subsequent task according to the start time completion time of the subsequent task information.
4. The automatic collaborative task decomposition system based on architecture model according to claim 1, further comprising a data exchange module, wherein the data exchange module reads the permission information table to obtain the permissions of the users, and displays the attribute information of each subtask to the authorized users by reading the task information table.
5. The architecture model-based collaborative task automatic decomposition system according to claim 4, wherein the association relationship table, the architecture model, the process information table, and the task information table are stored in a database through a data exchange module.
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