CN114417638A - Graphical concept modeling method and device and computer equipment - Google Patents
Graphical concept modeling method and device and computer equipment Download PDFInfo
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Abstract
The application relates to a graphical concept modeling method, a graphical concept modeling device, computer equipment and a storage medium. The method comprises the following steps: constructing a topological graph of a cross-shaped double-tree graph structure; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree and receives modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute; respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; and modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph. By adopting the method, the simulation modeling efficiency can be improved.
Description
Technical Field
The present application relates to the field of system modeling and simulation technologies, and in particular, to a graphical concept modeling method, apparatus, computer device, and storage medium.
Background
With the development of simulation technology, modeling technology has emerged, wherein modeling is to abstract data, processes, limitations, and the like in reality into various models, and simulation is to execute the models. With the continuous development of computer technology, modeling and simulation research, together with theoretical research and experimental research, have received extensive attention and development as three main means of scientific research. Particularly, in the research of military system simulation, modeling and simulation technologies have served a plurality of research fields such as strategy, tactics, training, testing, analysis, aid decision and the like, and the application range is still expanding, and the research level is also deepened. With the continuous expansion of the scale of the simulation system, the requirements of complexity, accuracy and timeliness are also continuously improved, and researchers begin to pay attention to the problems of how to effectively reduce the development cost of the simulation system, save the development time and improve the simulation level. The conceptual model is the first abstraction of the real world, and its modeling and verification technology becomes an important research problem.
However, many experts and scholars at home and abroad propose various different CM description methods for CM in the simulation modeling development process at present, and the method is suitable for establishing a static Model and is originally proposed as a Database Model auxiliary design tool, so that thinking is limited by a traditional Database Model (Database Model), does not conform to normal thinking habits of people and lacks naturalness and directness; meanwhile, when complex models are analyzed, the relationship among the models is unclear, the dynamic behavior characteristics among the models cannot be described, and the information of assumptions, related algorithms and the like owned by the models cannot be described, the object-role (ORM) method has no corresponding specification for describing objects and attributes, and is easy to have the problems of model element defect, unclear description, ambiguity and the like, the process-oriented method has weaker description for the static characteristics (structure, relation, attributes, functions and the like) of the system, is not beneficial to comprehensively grasping the requirements of the whole simulation system, the concept modeling of the object-oriented method is easy to have the problem of model element defect, meanwhile, the method has high professional degree, is not beneficial to the communication between field experts and development technicians, the methods have the problems of low efficiency, incapability of well controlling complexity, displaying modeling element association information and the like.
Disclosure of Invention
In view of the above, it is necessary to provide a graphical concept modeling method, apparatus, computer device and storage medium capable of improving simulation modeling efficiency.
A graphical concept modeling method, the method comprising:
constructing a topological graph of a cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
receiving modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph.
In one embodiment, the method for obtaining the architectural tree and the attribute tree includes writing a modeling scene, a modeling object instance, an attribute field, and a data type enumeration attribute into a longitudinal tree and a transverse tree respectively according to a longitudinal tree direction rule, an anti-shadowing automatic arrangement rule, and a node migration rule, and includes:
according to the rule of the longitudinal tree direction, expanding the child nodes under the same father node to the left according to the sequence from the left to the right, expanding the longitudinal tree structures in the odd number sequence to the left, and expanding the longitudinal tree structures in the even number sequence to the right; the vertical tree is used to construct the architectural tree.
In one embodiment, according to an anti-shielding automatic arrangement rule, when a transverse tree is unfolded, if the transverse tree is overlapped with leaf nodes of a longitudinal tree in a shielding manner, the same-level nodes in the longitudinal tree are uniformly adjusted in distance and position, and the gravity center of each transverse tree is approximately consistent with the position of a top node of the longitudinal tree; the lateral tree is used to build the property tree.
In one embodiment, the nodes in the vertical tree structure are migrated in the vertical tree structure, the nodes in the horizontal tree structure are migrated in the plurality of horizontal trees, and the top node of the horizontal tree structure can be replaced according to the node migration rule.
In one embodiment, modeling the architecture tree and the attribute tree according to an attribute field inheritance rule, an attribute value inheritance rule, a homonymy attribute fusion rule and a homonymy attribute fusion rule to obtain an architecture-attribute graph, including:
determining the attribute field of the current node in the architecture tree according to the attribute field inheritance rule; the attribute field of the current node is a set of the attribute field of the node and the inherited attribute field transmitted by the previous node, and when the inherited attribute field is changed, the node can automatically update the attribute field sets of all the child nodes.
In one embodiment, the attribute value of the current node in the architecture tree is determined according to the attribute value inheritance rule; the attribute value is determined according to the inheritance attribute transmitted by the previous node and the node attribute of the current node;
when the attribute value inherited by the current node is changed, the current node cannot automatically update the attribute value of the child node, and if the update needs to manually designate a father node, the copy update is carried out.
In one embodiment, according to a homonymy attribute fusion rule, automatically fusing same-level attribute fields of same-architecture nodes with the same name in an attribute tree into the same attribute field; and if the attribute field is a composite field, namely the branch node, fusing the child nodes of the two attribute fields.
In one embodiment, the top-level attribute field of the architecture node of the same parent node with the same name in the attribute tree is automatically fused to the top-level attribute field of the parent node according to the parent attribute fusion rule.
A graphical concept modeling apparatus, the apparatus comprising:
the topological graph constructing module is used for constructing a topological graph of the cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
the modeling task information receiving module is used for receiving modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
the framework tree and attribute tree construction module is used for writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into the longitudinal tree and the transverse tree respectively according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain a framework tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and the architecture-attribute graph building module is used for modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain the architecture-attribute graph.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
constructing a topological graph of a cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
receiving modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
constructing a topological graph of a cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
receiving modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph.
The graphical concept modeling method, the graphical concept modeling device, the computer equipment and the storage medium are characterized in that firstly, a topological graph of a cross-shaped double-tree graph structure is constructed; enabling a topological graph of the cross-shaped double-tree graph structure to meet a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes; each node in the transverse tree structure and the longitudinal tree structure can be folded and unfolded, so that local details can be hidden conveniently during integral design, the information quantity and complexity of human-computer interaction visual input can be controlled, and modeling task information can be received; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute; respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes; modeling is carried out on an architecture tree and an attribute tree according to an attribute field inheritance rule, an attribute value inheritance rule, a homonymy attribute fusion rule and a homonymy attribute fusion rule to obtain an architecture-attribute graph, the architecture-attribute graph has the attribute inheritance rule, can extract common information in all levels of elements in an architecture, reduces repeated description degree, is convenient for domain experts to design and model and expand new elements, the attribute tree has an automatic attribute field fusion rule and is used for integrating redundant data structures and realizing normalized data structure description, the invention is based on a graphical interface of a cross-shaped dual-tree structure and combines the data fusion rule to realize quick and agile construction of a concept based on an architecture-attribute view, integrates architecture inheritance relationship and attribute combination relationship in one view, and displays associated information as much as possible while controlling complexity, compared with the traditional method, the method has the advantages that the flexibility and the efficiency of metadata modeling are greatly improved.
Drawings
FIG. 1 is a schematic flow diagram of a graphical concept modeling method in one embodiment;
FIG. 2 is a diagram illustrating a cross dual-tree graph structure in accordance with an embodiment;
FIG. 3 is a diagram illustrating an example of an anti-shadow auto-layout rule;
FIG. 4 is a diagram illustrating a homonymous attribute fusion rule in one embodiment;
FIG. 5 is a diagram illustrating a rule for fusing with a parent attribute in another embodiment;
FIG. 6 is a diagram of an entity architecture-attributes graph, according to one embodiment;
FIG. 7 is a diagram of an activity architecture-attributes graph in one embodiment;
FIG. 8 is a block diagram of a graphical conceptual modeling apparatus in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, there is provided a graphical concept modeling method, comprising the steps of:
102, constructing a topological graph of a cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the vertical tree and the horizontal tree each include a plurality of leaf nodes.
The cross-shaped double-tree graph structure is a topological graph with a tree structure in both the transverse direction and the longitudinal direction, wherein the longitudinal direction is a tree, a plurality of trees are spread out from the longitudinal tree nodes in the transverse direction, and each node in the transverse and longitudinal tree structures can be packed and unfolded, so that local details can be hidden when the integral design is carried out, and the information quantity and the complexity of human-computer interaction visual input can be controlled.
104, receiving modeling task information; analyzing the modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute.
The modeled object instances include both entity and activity types. And writing the information obtained by analyzing the modeling task information into the longitudinal tree and the transverse tree according to a preset rule to construct a structural tree and an attribute tree. The attribute field is metadata of entity attributes, such as length, weight, oil amount and the like of the airplane, and belongs to the attribute field, and specific 550 meters, 50kg, 50 liters and the like belong to attribute values. The data type enumeration attribute, namely the data type, includes a shaping type, a double precision type, a text type, an enumeration type, a boolean type and the like, and if the state of the vehicle assembly plant is the enumeration type, the data type enumeration attribute has enumeration states such as preparation work, work and work ending.
The architecture refers to a structure that supports "specialization-generalization" relationships, referred to as "inheritance" relationships, between modeled object instances. Attributes are numerical descriptions of modeled object instances, and the differences in attributes determine the different types of modeled object instances. And writing information obtained by analyzing the modeling task information into the longitudinal tree and the transverse tree according to a preset rule, and using the longitudinal tree and the transverse tree which are written into the modeling scene, the modeling object instance, the attribute field and the data type enumerated attributes according to the rule as the architecture tree and the attribute tree. The longitudinal tree direction rule is used for automatically adjusting the longitudinal tree and the transverse tree into graphs conforming to human-computer interaction vision, and modeling is facilitated. The anti-shielding automatic arrangement rule is used for displaying the transverse tree structure completely and simultaneously improving readability and nodes, the migration rule enables an expert to adjust the graph topological structure in a dragging mode, and modeling task information is written into the longitudinal tree and the transverse tree by means of the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule, so that the framework tree and the attribute tree are obtained.
And 108, modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph.
Modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain an architecture-attribute graph, wherein the architecture-attribute graph is a comprehensive view for describing an object architecture and an attribute data structure, the inheritance relationship is mainly described in the description object architecture, the combination relationship is mainly described in the attribute data structure, the architecture-attribute graph comprises an entity architecture-attribute graph and an activity architecture-attribute graph, an entity is an objectively existing individual, the entity exists in a longer time range, and the entity architecture-attribute graph is a description for the inheritance relationship and description of the entity. The activity is human cognitive abstraction and has the characteristic of temporary generation and destruction for description of the behavior, and the activity architecture-attribute graph is a description of inheritance relationship and description of the activity behavior participated by the entity. The architecture in the architecture-attribute graph is represented in a longitudinal tree mode, the attribute fields are represented in a transverse tree mode, leaf nodes in the architecture graph are atom granularity and minimum units of modeling in a scene and are modeling object instances, and the leaf nodes of the attribute tree are all nodes of the attribute fields and have data type enumeration attributes. Attribute values are represented in a tree table form, attribute values of leaf nodes in an entity architecture all need to have complete configuration information and are not available to describe the initial state of a modeling scene, and the activity leaf nodes in an activity architecture diagram can have the available attribute values due to different configurations when activities start each time. The architecture-attribute graph has attribute inheritance rules, can extract common information in elements of all levels in the architecture, reduces repeated description degree, and facilitates field expert design modeling and new element expansion. An element refers to a modeled object instance, including entities and activities. The attribute field and the attribute value are in a one-to-one correspondence relationship, for example, the flight distance of the airplane is the attribute field, and the flight distance of the airplane is 1000km, wherein 1000km is the attribute value.
In the graphical concept modeling method, firstly, a topological graph of a cross-shaped double-tree graph structure is constructed; enabling a topological graph of the cross-shaped double-tree graph structure to meet a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes; each node in the transverse tree structure and the longitudinal tree structure can be folded and unfolded, so that local details can be hidden conveniently during integral design, the information quantity and complexity of human-computer interaction visual input can be controlled, and modeling task information can be received; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute; respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree and a transverse tree according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes; modeling is carried out on an architecture tree and an attribute tree according to an attribute field inheritance rule, an attribute value inheritance rule, a homonymy attribute fusion rule and a homonymy attribute fusion rule to obtain an architecture-attribute graph, the architecture-attribute graph has the attribute inheritance rule, can extract common information in all levels of elements in an architecture, reduces repeated description degree, is convenient for domain experts to design and model and expand new elements, the attribute tree has an automatic attribute field fusion rule and is used for integrating redundant data structures and realizing normalized data structure description, the invention is based on a graphical interface of a cross-shaped dual-tree structure and combines the data fusion rule to realize quick and agile construction of a concept based on an architecture-attribute view, integrates architecture inheritance relationship and attribute combination relationship in one view, and displays associated information as much as possible while controlling complexity, compared with the traditional method, the method has the advantages that the flexibility and the efficiency of metadata modeling are greatly improved.
In one embodiment, the method for obtaining the architectural tree and the attribute tree includes writing a modeling scene, a modeling object instance, an attribute field, and a data type enumeration attribute into a longitudinal tree and a transverse tree respectively according to a longitudinal tree direction rule, an anti-shadowing automatic arrangement rule, and a node migration rule, and includes:
according to the rule of the longitudinal tree direction, expanding the child nodes under the same father node to the left according to the sequence from the left to the right, expanding the longitudinal tree structures in the odd number sequence to the left, and expanding the longitudinal tree structures in the even number sequence to the right; the vertical tree is used to construct the architectural tree.
In one embodiment, according to an anti-shielding automatic arrangement rule, when a transverse tree is unfolded, if the transverse tree is overlapped with leaf nodes of a longitudinal tree in a shielding manner, the same-level nodes in the longitudinal tree are uniformly adjusted in distance and position, and the gravity center of each transverse tree is approximately consistent with the position of a top node of the longitudinal tree; the lateral tree is used to build the property tree.
In one embodiment, the nodes in the vertical tree structure are migrated in the vertical tree structure, the nodes in the horizontal tree structure are migrated in the plurality of horizontal trees, and the top node of the horizontal tree structure can be replaced according to the node migration rule.
As shown in fig. 2, in the "cross dual-tree graph structure", there is only one "root node", i.e., the a node in the graph. Nodes in the longitudinal tree structure are called 'main body nodes', and each 'main body node' is a 'top node' of the transverse tree structure. The nodes at the tail end of the tree structure are called leaf nodes, and the superior nodes of the leaf nodes are branch nodes. The directly connected upper and lower levels in the tree structure form a relationship of 'parent node' and 'child node', for example, the node B is the 'parent node' of the node D, the node D and the node E are the 'child nodes' of the node B, a1 and a2 are the 'child nodes' of the node A, a11 and a12 are the 'child nodes' of a1, B1 and B2 are the 'child nodes' of the node B, F and G are the 'child nodes' of C, C1 and C2 are the 'child nodes' of the node C, and C21 and C22 are the 'child nodes' of C2. The cross dual-tree graph structure has a graph element layout rule which is automatically adjusted to a graph according with human-computer interaction vision, and the graph element layout rule comprises a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule.
The longitudinal tree direction rule is that the child nodes under the same father node are expanded leftwards (for example, A, B nodes) according to the sequence from left to right, the longitudinal tree structures in odd number sequence are expanded rightwards (for example, C nodes).
The anti-shielding automatic arrangement rule is that when the transverse tree structure is unfolded, if shielding overlap exists between the transverse tree structure and nodes of the longitudinal tree structure, the same level nodes in the longitudinal tree structure are uniformly adjusted in distance and position, the gravity center of each transverse tree is approximately consistent with the position of the top node of the transverse tree structure, and the readability is improved while the transverse tree structure is displayed completely, as shown in fig. 3, wherein C3 is a 'child node' of a C node, C11 and C12 are 'child nodes' of C1, and C211 and C212 are 'child nodes' of C21.
The node migration rule is that nodes in the longitudinal tree structure can be migrated in the tree structure, nodes in the transverse tree structure can be migrated in a plurality of transverse trees, and the top nodes of the transverse tree structure can be replaced. And according to the node migration rule, an expert can adopt a dragging mode to adjust the graph topological structure.
Respectively writing a modeling scene, a modeling object instance, an attribute field and data type enumeration attributes into a longitudinal tree, a transverse tree and leaf nodes thereof according to a longitudinal tree direction rule, an anti-shielding automatic arrangement rule and a node migration rule, constructing an architecture tree by using the longitudinal tree, wherein the architecture tree is used for representing the modeling scene, the leaf nodes in the architecture tree are used for representing the modeling object instance, constructing an attribute tree by using the transverse tree, and the attribute tree represents the leaf nodes in the attribute field attribute tree and is used for representing the data type enumeration attributes.
In one embodiment, modeling the architecture tree and the attribute tree according to an attribute field inheritance rule, an attribute value inheritance rule, a homonymy attribute fusion rule and a homonymy attribute fusion rule to obtain an architecture-attribute graph, including:
determining the attribute field of the current node in the architecture tree according to the attribute field inheritance rule; the attribute field of the current node is a set of the attribute field of the node and the inherited attribute field transmitted by the previous node, and when the inherited attribute field is changed, the node can automatically update the attribute field sets of all the child nodes.
In one embodiment, the attribute value of the current node in the architecture tree is determined according to the attribute value inheritance rule; the attribute value is determined according to the inheritance attribute transmitted by the previous node and the node attribute of the current node;
when the attribute value inherited by the current node is changed, the current node cannot automatically update the attribute value of the child node of the current node, and if the update needs to manually designate a father node, the copy update is carried out.
In one embodiment, according to a homonymy attribute fusion rule, automatically fusing same-level attribute fields of same-architecture nodes with the same name in an attribute tree into the same attribute field; and if the attribute field is a composite field, namely the branch node, fusing the child nodes of the two attribute fields.
In one embodiment, the top-level attribute field of the architecture node of the same parent node with the same name in the attribute tree is automatically fused to the top-level attribute field of the parent node according to the parent attribute fusion rule.
The architecture-attribute graph has attribute inheritance rules, can extract common information in elements at all levels in the architecture, reduces repeated description degree, and is convenient for field expert design modeling and new element expansion, and the rules are described as follows:
the attribute field inheritance rule is that a node in the architecture tree automatically inherits the attribute field of a superior node, and the attribute field of the node is a set of the attribute field of the node and the inheritance attribute field. When the inherited property field changes, the property field set of all child nodes is automatically updated.
The attribute value inheritance rule is that the nodes in the architecture tree automatically inherit the attribute values of the superior nodes and can modify the attribute values of the nodes. When the inherited attribute value is changed, the attribute value of the child node is not automatically updated, and if the update needs to manually specify a certain parent node, the copy update is carried out.
The attribute tree has an automatic attribute field fusion rule and is used for integrating redundant data structures, so that the description of a normalized data structure is realized, and the modeling efficiency is further improved. The rules are described as follows:
the homonymy attribute fusion rule is that the same-level attribute field names of the same architecture node are consistent, the same attribute field is automatically fused, if the attribute field is a composite field, namely a branch node, the child nodes of the two attribute fields are fused, as shown in fig. 4, a node b represents the attribute field name, and a node b1, a node b2 and a node b3 represent the child nodes of the node b.
If the top-level attribute field name of the architecture node of the same father node is consistent with the father attribute fusion rule, the top-level attribute field name is automatically fused to the top-level attribute field of the father node, as shown in fig. 5, the b node represents the attribute field name, for example: the node A represents a person, the node B represents Zhang III, the node C represents Li IV, the node A is a father node of the node B and the node C, and when the attribute field names of Zhang III and Li IV are both ages, the ages are fused into the top-level attribute field of the node A.
In one embodiment, concept modeling is carried out by taking the vehicle assembly activity as the background in a vehicle assembly plant, the involved modeling object examples are entities and activities, the entities are vehicles, security personnel, security organizations, security places, security equipment and the like of the vehicle assembly activity, and an entity architecture-attribute graph and an activity architecture-attribute graph are respectively established. In order to explain a specific method, vehicle assembly activities are simplified into two sub-activities of frame assembly and engine assembly, and required guaranteed resource types are simplified, a constructed entity architecture-attribute graph is shown in fig. 6, and a constructed activity architecture-attribute graph is shown in fig. 7. Wherein, taking the C-bolt as an example, the attribute value tree table is:
it should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 8, there is provided a graphical concept modeling apparatus including: a topology graph construction module 802, a modeling task information receiving module 804, an architecture tree and attribute tree construction module 806, and an architecture-attribute graph construction module 808, wherein:
a topological graph constructing module 802, configured to construct a topological graph of a cross-shaped dual-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
a modeling task information receiving module 804, configured to receive modeling task information; analyzing modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
the framework tree and attribute tree constructing module 806 is configured to write the modeling scene, the modeling object instance, the attribute field, and the data type enumeration attribute into the longitudinal tree and the transverse tree, respectively, according to the longitudinal tree direction rule, the anti-shadowing automatic arrangement rule, and the node migration rule, so as to obtain a framework tree and an attribute tree; the architecture tree represents a modeling scene; leaf nodes of the architecture tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and the architecture-attribute graph constructing module 808 is used for modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain the architecture-attribute graph.
In one embodiment, the architecture tree and attribute tree constructing module 806 is further configured to write the modeling scene, the modeling object instance, the attribute field, and the data type enumeration attribute into the longitudinal tree and the horizontal tree respectively according to the longitudinal tree direction rule, the anti-blocking automatic arrangement rule, and the node migration rule, so as to obtain the architecture tree and the attribute tree, including:
according to the rule of the longitudinal tree direction, expanding the child nodes under the same father node to the left according to the sequence from the left to the right, expanding the longitudinal tree structures in the odd number sequence to the left, and expanding the longitudinal tree structures in the even number sequence to the right; the vertical tree is used to construct the architectural tree.
In one embodiment, according to an anti-shielding automatic arrangement rule, when a transverse tree is unfolded, if the transverse tree is overlapped with leaf nodes of a longitudinal tree in a shielding manner, the same-level nodes in the longitudinal tree are uniformly adjusted in distance and position, and the gravity center of each transverse tree is approximately consistent with the position of a top node of the longitudinal tree; the lateral tree is used to build the property tree.
In one embodiment, the nodes in the vertical tree structure are migrated in the vertical tree structure, the nodes in the horizontal tree structure are migrated in the plurality of horizontal trees, and the top node of the horizontal tree structure can be replaced according to the node migration rule.
In one embodiment, the architecture-attribute graph constructing module 808 is further configured to model the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule, and the homonymy attribute fusion rule to obtain the architecture-attribute graph, and includes:
determining the attribute field of the current node in the architecture tree according to the attribute field inheritance rule; the attribute field of the current node is a set of the attribute field of the node and the inherited attribute field transmitted by the previous node, and when the inherited attribute field is changed, the node can automatically update the attribute field sets of all the child nodes.
In one embodiment, the attribute value of the current node in the architecture tree is determined according to the attribute value inheritance rule; the attribute value is determined according to the inheritance attribute transmitted by the previous node and the node attribute of the current node;
when the attribute value inherited by the current node is changed, the current node cannot automatically update the attribute value of the child node of the current node, and if the update needs to manually designate a father node, the copy update is carried out.
In one embodiment, according to a homonymy attribute fusion rule, automatically fusing same-level attribute fields of same-architecture nodes with the same name in an attribute tree into the same attribute field; and if the attribute field is a composite field, namely the branch node, fusing the child nodes of the two attribute fields.
In one embodiment, the top-level attribute field of the architecture node of the same parent node with the same name in the attribute tree is automatically fused to the top-level attribute field of the parent node according to the parent attribute fusion rule.
For the specific definition of the graphical concept modeling apparatus, reference may be made to the above definition of the graphical concept modeling method, and details are not repeated here. The various modules in the graphical concept modeling apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a graphical concept modeling method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the method in the above embodiments when the processor executes the computer program.
In an embodiment, a computer storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method in the above-mentioned embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A graphical concept modeling method, the method comprising:
constructing a topological graph of a cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
receiving modeling task information; analyzing the modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
respectively writing the modeling scene, the modeling object instance, the attribute field and the data type enumeration attribute into a longitudinal tree and a transverse tree according to the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule to obtain an architecture tree and an attribute tree; the architecture tree represents a modeling scenario; leaf nodes of the architectural tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and modeling the architecture tree and the attribute tree according to an attribute field inheritance rule, an attribute value inheritance rule, a homonymy attribute fusion rule and a homonymy attribute fusion rule to obtain an architecture-attribute graph.
2. The method of claim 1, wherein writing the modeling scene, the modeling object instance, the attribute field, and the data type enumeration attribute into a vertical tree and a horizontal tree according to the vertical tree direction rule, the anti-shadowing automatic arrangement rule, and the node migration rule, respectively, to obtain an architecture tree and an attribute tree, comprises:
according to the longitudinal tree direction rule, expanding the child nodes under the same father node leftwards and the odd-numbered-sequence longitudinal tree structures rightwards according to the sequence from left to right; the longitudinal tree is used for building a structural tree.
3. The method of claim 2, further comprising:
according to the anti-shielding automatic arrangement rule, when a transverse tree is unfolded, if the transverse tree is overlapped with leaf nodes of the longitudinal tree in a shielding manner, the same-level nodes in the longitudinal tree are uniformly adjusted in distance and position, and the gravity center of each transverse tree is consistent with the position of a top node of the longitudinal tree; the lateral tree is used to construct a property tree.
4. The method of claim 3, further comprising:
and migrating the nodes in the longitudinal tree structure according to the node migration rule, migrating the nodes in the transverse tree structure in a plurality of transverse trees, and replacing the top nodes of the transverse tree structure.
5. The method of claim 1, wherein modeling the architecture tree and the property tree according to a property field inheritance rule, a property value inheritance rule, a homonymy property fusion rule, and a homonymy property fusion rule to obtain an architecture-property graph comprises:
determining the attribute field of the current node in the architecture tree according to the attribute field inheritance rule; and the attribute field of the current node is a set of the attribute field of the node and the inherited attribute field transmitted by the previous node, and when the inherited attribute field is changed, the node can automatically update the attribute field sets of all the child nodes.
6. The method of claim 5, further comprising:
determining the attribute value of the current node in the architecture tree according to the attribute value inheritance rule; the attribute value is determined according to the inheritance attribute transmitted by the previous node and the node attribute of the current node;
when the attribute value inherited by the current node is changed, the current node cannot automatically update the attribute value of the child node of the current node, and if the update needs to manually designate a father node, the copy update is carried out.
7. The method of claim 6, further comprising:
automatically fusing the same-level attribute fields of the same architecture node with the same name in the attribute tree into the same attribute field according to the homonymy attribute fusion rule; and if the attribute field is a composite field, namely the branch node, fusing the child nodes of the two attribute fields.
8. The method of claim 7, further comprising:
and automatically fusing the top-level attribute field of the architecture node of the same father node with the same name in the attribute tree to the top-level attribute field of the father node according to the same father attribute fusion rule.
9. A graphical concept modeling apparatus, the apparatus comprising:
the topological graph constructing module is used for constructing a topological graph of the cross-shaped double-tree graph structure; the topological graph of the cross-shaped double-tree graph structure meets the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule; the cross-shaped double-tree graph structure comprises a longitudinal tree and a transverse tree; the longitudinal tree and the transverse tree both comprise a plurality of leaf nodes;
the modeling task information receiving module is used for receiving modeling task information; analyzing the modeling task information to obtain a modeling scene, a modeling object instance, an attribute field and a data type enumeration attribute;
the framework tree and attribute tree construction module is used for writing the modeling scene, the modeling object instance, the attribute field and the data type enumeration attribute into the longitudinal tree and the transverse tree respectively according to the longitudinal tree direction rule, the anti-shielding automatic arrangement rule and the node migration rule to obtain a framework tree and an attribute tree; the architecture tree represents a modeling scenario; leaf nodes of the architectural tree represent modeling object instances; the attribute tree represents an attribute field; leaf nodes of the attribute tree represent data type enumeration attributes;
and the architecture-attribute graph building module is used for modeling the architecture tree and the attribute tree according to the attribute field inheritance rule, the attribute value inheritance rule, the homonymy attribute fusion rule and the homonymy attribute fusion rule to obtain the architecture-attribute graph.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the computer program.
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