Battlefield knowledge dynamic representation method and device based on 4D flow ontology and electronic equipment

Abstract

The invention discloses a battlefield knowledge dynamic representation method and device based on a 4D flow ontology and electronic equipment. The method comprises the following steps: collecting battlefield information of air defense and anti-missile combat, and forming a database, the combat domains of the air defense and anti-missile combat including a land domain, a water domain and an airspace; based on SUMO, in combination with understanding of the process of air defense and anti-missile combat, top-layer concepts are extracted, entities are divided into abstract entities and physical entities, the abstract entities comprise combat roles, relations, occurrence, attributes, time, space, targets and plans, and the physical entities comprise combat entities and geographic entities; determining the relationship between the combat entities and the activity or task type participated by the combat entities; according to semantic information abstracted from a database, determining a range of an air defense and antimissile 4D flow ontology; and constructing instances and attribute relationships and attribute values of the instances. According to the battlefield knowledge dynamic representation method based on the 4D flow ontology, association fusion of battlefield ontology elements and time based on the entity life cycle can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of battlefield knowledge dynamic representation, and in particular to a battlefield knowledge dynamic representation method based on 4D flow ontology, a battlefield knowledge dynamic representation device based on 4D flow ontology, and an electronic device. Background Art

[0002] With the development of modern military, the way of fighting is constantly changing, and intelligent fighting has become a new trend. As an important part of the combat force, joint air defense and anti-missile plays an important role in wide-area security. In the context of information-based collaborative operations, joint air defense and anti-missile operations have the characteristics of high timeliness requirements, tight command and control activities, and complex combat systems. The air defense and anti-missile combat process includes multiple interacting participants such as perception, monitoring, command, and action, such as radar sensors, communication networks, interceptor missiles, and other typical weapons and equipment. Participants in each link may play a role independently, so the air defense and anti-missile combat process can be regarded as a divergent system (System-of-systems, SoS), whose main characteristics are that the combat process has many elements, complex processes, high timeliness requirements, and serious information fragmentation, making it difficult to form a unified description of the battlefield situation. First, there are many sources of information and different structures in the combat process, which makes it difficult to interconnect data and express them in a unified description, hindering the analysis and knowledge discovery of the battlefield process. Secondly, there are many elements in the battlefield environment and a huge amount of information, which makes it difficult to control the timeliness of battlefield analysis, hindering real-time knowledge modeling and analysis in the battlefield environment. Therefore, it is urgent to propose a unified representation of combat information and a rapid knowledge model construction technology that supports fragmented data as a supplement to information sources.

[0003] There are many sources of knowledge in the military field, and the knowledge structure is complex. It is usually used to assist various complex battlefield analyses or command decisions. Air defense and anti-missile combat scenarios are an important part of dynamic knowledge in the military field, and the demand for research on the ontology construction of air defense and anti-missile combat scenarios is increasing. The construction of air defense and anti-missile combat ontology has the typical characteristics of many types of battlefield entities and complex combat styles. It involves many elements, including air defense and anti-missile force composition, weapons and equipment, combat locations, command and control, tactical tasks and many other elements. In addition, the battlefield situation environment is complex, and the various combat links interact, restrict and influence each other, which increases the complexity of combat ontology knowledge modeling.

[0004] Most of the existing military ontology construction methods are based on binary relational ontology languages ​​such as OWL, which have obvious limitations when expressing dynamic information. For example, the following sentence: "An Fr-1 air-to-air missile is mounted on a fighter Fr-1" can be described using the OWL ontology language as:

[0005] individual(Fr-1 air-to-air missile type(missile))

[0006] individual(Fighter Fr-1type(Fighter))

[0007] value(MountedOfFighterFr-1)

[0008] This expression does not take into account information that evolves over time and cannot reflect the dynamic changes of knowledge. Therefore, this method is called "three-dimensional theory" or "holistic theory", in which all entities exist completely and continuously at all times, and their attributes remain unchanged. Summary of the invention

[0009] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a battlefield knowledge dynamic representation method based on 4D flow ontology, which can realize the association fusion of battlefield ontology elements and time based on entity life cycle.

[0010] The present invention also proposes a battlefield knowledge dynamic representation device based on 4D flow ontology.

[0011] The invention also provides an electronic device.

[0012] A battlefield knowledge dynamic representation method based on 4D flow ontology according to an embodiment of the first aspect of the present invention is used for air defense and anti-missile operations, including:

[0013] Collect battlefield information of the air defense and anti-missile operations and form a database. The combat domain of the air defense and anti-missile operations includes land, water and air. The combat forces in the land include missile launchers, command and control vehicles, radar vehicles and decoy vehicles. The combat forces in the water include aircraft carriers, destroyers, patrol ships, support ships and monitoring ships. The combat forces in the air include fighters, reconnaissance aircraft, patrol aircraft, tankers, bombers, early warning aircraft and transport aircraft.

[0014] Based on SUMO, combined with the understanding of the process of air defense and anti-missile operations, the top-level concepts are extracted and entities are divided into abstract entities and physical entities. The abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets, and plans, and the physical entities include combat entities and geographical entities.

[0015] Determine the relationships between the combat entities and the types of activities or missions in which the combat entities are involved;

[0016] According to the semantic information abstracted from the database, the scope of the air defense and anti-missile 4D flow ontology is determined, and the air defense and anti-missile 4D flow ontology is constructed according to the following formula:

[0017] G=f(S,T,A,E)

[0018] In the formula, G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; E represents the event ontology;

[0019] Build instances and their attribute relationships and attribute values.

[0020] The battlefield knowledge dynamic representation method based on 4D flow ontology according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, and help to play an important role in battlefield element updating, battlefield situation analysis, command and control decision-making and other links.

[0021] In addition, the battlefield knowledge dynamic representation method based on 4D flow ontology according to the embodiment of the present invention also has the following additional technical features:

[0022] According to some embodiments of the present invention, the combat entities include combat formations and weapons and equipment, the combat formations include dynamic combat formations and basic formations, the weapons and equipment include platforms and components, the platforms include ground-based platforms, space-based platforms, surface ship platforms and airspace platforms; the geographic entities include man-made objects and geographic objects.

[0023] According to some embodiments of the present invention, the combat role includes the combat domain, combat mission role and confrontation role, the relationship includes time relationship, spatial relationship, behavioral relationship and logical relationship, the occurrence includes events, actions and processes, and the attributes include relationship attributes and endogenous attributes.

[0024] According to some embodiments of the present invention, the method further comprises:

[0025] According to the combat mission requirements, select the mission units that meet the actual combat requirements, and select their models, types and quantities of mounted weapons and equipment;

[0026] Determine the types of object relationships between the task units, including equipped on, mounted on, and capable of;

[0027] Determine the type of attribute relationship, including detection range, range, and start time.

[0028] According to some embodiments of the present invention, the instances of the same type are distinguished by different numbers, and object relationships are established between different instances.

[0029] In some embodiments of the present invention, the examples include reconnaissance aircraft, dynamic combat formations, ground-to-air missile battalions, missiles, missile launchers, fighter jets, and time points.

[0030] In some specific embodiments of the present invention, the combat mission roles include air defense, firepower strike, information confrontation, target detection, target indication, and radar alert; the geographical objects include S_r0, S_r1, the East China Sea, and the South China Sea; the reconnaissance aircraft include reconnaissance aircraft-Ar-1-T1, reconnaissance aircraft-Ar-1-T2, reconnaissance aircraft-Ar-2-T1, and reconnaissance aircraft-Ar-2-T2; the fighter aircraft include fighter-Fr-1-T2, fighter-Fb-1, fighter-Fb-2, fighter-Fb-3, fighter-Fr-1, fighter-Fr-2, and fighter-Fr-3; the dynamic combat formation includes fighter formation-Fr-T0, fighter formation-Fr-T1, fighter formation-Fr-T2, fighter formation-Fb-T0, fighter formation-Fb-T1, fighter formation-Fb-T2, fighter formation-Fr, and fighter formation-Fb; and the time points include T0, T1, and T2.

[0031] According to some embodiments of the present invention, object attributes include composite relationships, occurrence relationships, logical relationships, individual relationships, aggregate relationships, 4D flow relationships, entity-concept domain relationships, time topological relationships, and concept domain-entity relationships. The composite relationships include collaboration, accusation, communication, and entity relationships. The occurrence relationships include occurrence trigger relationships and occurrence space-time relationships. The logical relationships include being a target, having a plan, and having a purpose. The individual relationships include individual abstract relationships. The aggregate relationships include aggregate physical relationships and aggregate abstract relationships. The 4D flow relationships include time slices, having child objects, and having parent objects. The entity-concept domain relationships include geographic location with semantics, in the OODA loop, combat domain, combat link, entity cognition domain, and confrontation attribution domain.

[0032] According to the second aspect of the present invention, a battlefield knowledge dynamic representation device based on 4D flow ontology is used for air defense and anti-missile operations, including: a collection module, the collection module is used to collect battlefield information of the air defense and anti-missile operations and form a database, the combat domain of the air defense and anti-missile operations includes land, water and air, the combat force in the land includes missile launchers, command and control vehicles, radar vehicles and decoy vehicles, the combat force in the water includes aircraft carriers, destroyers, patrol ships, support ships and monitoring ships, and the combat force in the air includes fighters, reconnaissance aircraft, patrol aircraft, tankers, bombers, early warning aircraft and transport aircraft; an extraction module, the extraction module The module is based on SUMO, combined with the understanding of the process of air defense and anti-missile operations, extracts top-level concepts and divides entities into abstract entities and physical entities. The abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets and plans, and the physical entities include combat entities and geographical entities; a determination module, which is used to determine the relationship between the combat entities and the types of activities or tasks in which the combat entities participate; an ontology construction module, which is used to determine the scope of the air defense and anti-missile 4D flow ontology based on the semantic information abstracted from the database, and construct the air defense and anti-missile 4D flow ontology according to the following formula:

[0033] G=f(S,T,A,E), where G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; E represents the event ontology; and an instance construction module, which is used to construct instances and their attribute relationships and attribute values.

[0034] The battlefield knowledge dynamic representation device based on 4D flow ontology according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, and help play an important role in battlefield element updating, battlefield situation analysis, command and control decision-making and other links.

[0035] According to an electronic device of an embodiment of the third aspect of the present invention, the electronic device includes a processor and a memory, the processor is connected to the memory, the memory is used to store a computer program, and when the computer program is executed by the processor, the battlefield knowledge dynamic representation method based on 4D flow ontology as described in the embodiment of the first aspect of the present invention is implemented.

[0036] The electronic device according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontological elements and time based on the entity life cycle, and help play an important role in battlefield element updating, battlefield situation analysis, command and control decision-making and other links.

[0037] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a logical relationship diagram of the air defense and anti-missile 4D flow ontology according to an embodiment of the present invention;

[0039] Figure 2 is a structural diagram of an air defense and anti-missile 4D flow body according to an embodiment of the present invention;

[0040] Figure 3 Schematic diagram of object properties of the air defense and anti-missile 4D flow entity according to an embodiment of the present invention;

[0041] Figure 4 is a schematic diagram of an example of an air defense and anti-missile 4D flow body according to an embodiment of the present invention;

[0042] Figure 5 is a relationship diagram of the air defense and anti-missile 4D flow entity at the combat time T1 according to an embodiment of the present invention;

[0043] Figure 6 Schematic diagram of the spatiotemporal evolution of the air defense and anti-missile 4D flow ontology according to an embodiment of the present invention;

[0044] Figure 7 It is a flow chart for constructing an air defense and anti-missile 4D flow entity according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0046] Dynamic expression of knowledge plays a key role in air defense and anti-missile operations. Due to the large number of elements in the air defense and anti-missile operations, the complex process, high timeliness requirements, and information fragmentation, the present invention proposes a method for dynamic representation of battlefield knowledge based on 4D stream ontology. This method aims at a unified description of the battlefield situation, introduces a 4D stream ontology framework, and constructs an ontology and dynamically updates the entity elements of the battlefield based on the joint air defense and anti-missile combat scenario, thereby realizing a unified description and expression of multi-source heterogeneous data. The structured expression of air defense and anti-missile battlefield knowledge can promote the full utilization of battlefield knowledge graph information resources, which has important theoretical and practical significance for conducting research on the construction of battlefield knowledge systems.

[0047] 4D flow ontology refers to an ontology with a "time" dimension. The "time" dimension is represented by a "flow" method and can process data and information that changes over time. In the 4D flow ontology, entities not only change in spatial position, but also in time, such as the loading, launching, attacking and destroying stages of missiles. The 4D flow ontology can realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, which helps to play an important role in battlefield element updates, battlefield situation analysis, and command and control decision-making. Figure 1 As shown in the figure, the sentence "an Fr-1 air-to-air missile is mounted on a fighter Fr-1" is expressed using the air defense and anti-missile 4D flow ontology, that is, "the time portion t1 of an Fr-1 air-to-air missile is mounted on the time portion t1 of a fighter Fr-1". In the figure, arrows represent object relationships, straight lines represent class-instance relationships, rectangular boxes represent classes, and rounded boxes represent instances.

[0048] The following describes a battlefield knowledge dynamic representation method based on 4D flow ontology according to an embodiment of the first aspect of the present invention with reference to the accompanying drawings.

[0049] Specifically, the battlefield knowledge dynamic representation method based on 4D flow ontology according to an embodiment of the present invention is used for air defense and anti-missile operations, including:

[0050] The battlefield information of air defense and anti-missile operations is collected and formed into a database. The combat domains of air defense and anti-missile operations include land, water and air. The combat forces on land include missile launchers, command and control vehicles, radar vehicles and decoy vehicles. The combat forces on water include aircraft carriers, destroyers, patrol ships, support ships and monitoring ships. The combat forces in airspace include fighters, reconnaissance aircraft, patrol aircraft, tankers, bombers, early warning aircraft and transport aircraft. The collected effective information is roughly classified according to its combat role, laying the foundation for the subsequent top-level ontology extraction.

[0051] Based on SUMO (Suggested Upper Merged Ontology), combined with the understanding of the process of air defense and anti-missile operations, the top-level concepts are extracted and the entities are divided into abstract entities and physical entities, and then subdivided into different subcategories on this basis. Among them, abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets, and plans, and physical entities include combat entities and geographical entities. Figure 2As shown in the figure, combat entities include combat formations and weapons and equipment. Combat formations include dynamic combat formations and basic formations. Weapons and equipment include platforms and components. Platforms include ground-based platforms, space-based platforms, surface ship platforms, and airspace platforms. Geographic entities include man-made objects and geographic objects. Combat roles include combat domains, combat mission roles, and confrontation roles. Relationships include temporal relationships, spatial relationships, behavioral relationships, and logical relationships. Occurrences include events, actions, and processes. Attributes include relationship attributes and endogenous attributes. Then determine the relationships between combat entities and the types of activities or tasks in which combat entities participate.

[0052] According to the semantic information abstracted from the database, the scope of the air defense and anti-missile 4D flow ontology is determined, and the air defense and anti-missile 4D flow ontology is constructed according to the following formula:

[0053] G=f(S,T,A,E)

[0054] In the formula, G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; and E represents the event ontology. According to the combat mission requirements, the entities in the database are screened to finally form the scope of the air defense and anti-missile 4D flow ontology. The task units that meet the actual combat requirements are screened out, and their models, types of mounted weapons and equipment, and quantities are selected; the types of object relationships between task units are determined, including equipment on, mounted on, and capable; the types of attribute relationships are determined, including detection range, range, and start time.

[0055] like Figure 3 As shown, object attributes include composite relationships, occurrence relationships, logical relationships, individual relationships, aggregate relationships, 4D flow relationships, entity-concept domain relationships, time topological relationships, and concept domain-entity relationships. Composite relationships include collaboration, accusation, communication, and entity relationships. Occurrence relationships include occurrence trigger relationships and occurrence space-time relationships. Logical relationships include being a target, having a plan, and having a purpose. Individual relationships include individual abstract relationships. Aggregate relationships include aggregate physical relationships and aggregate abstract relationships. 4D flow relationships include time slices, having child objects, and having parent objects. Entity-concept domain relationships include geographic location with semantics, in the OODA loop, combat domain, combat link, entity cognition domain, and confrontation attribution domain.

[0056] Finally, construct instances and their attribute relationships and attribute values. Construct instances of the classes of the air defense and anti-missile 4D flow ontology, and distinguish instances of the same type by different numbers, such as "radar vehicle-1" and "radar vehicle-2"; construct object relationships between different instances, such as "'radar-1' is mounted on ''radar vehicle-1'". Construct attribute relationships and attribute values ​​for the added instances. For example, add the detection range of the radar vehicle, set the "maximum range" as its attribute relationship, set the attribute value to 90, and note the unit in the comments.

[0057] like Figure 4 and Figure 5 As shown, examples include reconnaissance aircraft, dynamic combat formations, ground-to-air missile battalions, missiles, missile launchers, fighter jets, and time points. The combat mission roles include air defense, fire strike, information confrontation, target detection, target indication, and radar warning. The geographical objects include S_r0, S_r1, East China Sea, and South China Sea. The reconnaissance aircraft include reconnaissance aircraft-Ar-1-T1, reconnaissance aircraft-Ar-1-T2, reconnaissance aircraft-Ar-2-T1, and reconnaissance aircraft-Ar-2-T2. The fighters include fighter-Fr-1-T2, fighter-Fb-1, fighter-Fb-2, fighter-Fb-3, fighter-Fr-1, fighter-Fr-2, and fighter-Fr-3. The dynamic combat formations include fighter formation-Fr-T0, fighter formation-Fr-T1, fighter formation-Fr-T2, fighter formation-Fb-T0, fighter formation-Fb-T1, fighter formation-Fb-T2, fighter formation-Fr, and fighter formation-Fb. The time points include T0, T1, and T2.

[0058] The development of 4D stream ontology can solve a series of problems that binary ontology cannot solve, such as the evolution of space-time relations, time series information, etc. The expression of the ontology relationship of 4D stream space-time ontology is more inclined to the evolution of real scenes, such as Figure 6 As shown in the figure, taking the radar vehicle formation as an example, the 4D flow ontology expression covers the evolution information of the formation such as movement, splitting, destruction, adjustment, and merging. The dynamic representation of battlefield knowledge can help commanders capture key information of the battlefield situation, help analyze battlefield environmental factors, and improve combat command efficiency and early warning analysis capabilities.

[0059] In addition, the 4D flow ontology of the present invention can process data and information that changes over time in the military field, which enables it to better adapt to the dynamic changes of the battlefield environment. For example, the situation information of both the enemy and us can be updated in real time to provide support for command decisions. The 4D flow ontology can simulate and predict changes in the battlefield environment, such as terrain, weather, etc., thereby helping military personnel make more accurate decisions. The 4D flow ontology can be used for design and manufacturing, automatically adjusting the form and function of equipment and weapons according to the battlefield environment to improve its combat effectiveness. The 4D flow ontology can integrate and manage geographic information that changes over time, such as the battlefield environment, the enemy and us situation, etc., to provide real-time and accurate information support for command decisions.

[0060] The battlefield knowledge dynamic representation method based on 4D flow ontology according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, help to play an important role in battlefield element updating, battlefield situation analysis and command and control decision-making, and has good dynamic adaptability and environmental adaptability, realizes the adaptive design of weapons and equipment, and optimizes battlefield information management.

[0061] Figure 7 The construction process of the air defense and anti-missile 4D flow ontology of the embodiment of the present invention is given. Military concepts are abstracted from the database, and the professional fields and categories of the ontology are determined to form a top-level ontology. Determine whether the ontology can be reused: if so, reuse the existing ontology with the help of SUMO, modify and improve the reusable ontology to form a new ontology, and introduce the 4D flow ontology for ontology integration; if not, express the ontology terms, define the class and class hierarchy, class attributes and class facets, and introduce the 4D flow ontology for ontology integration. Then create an instance and evaluate and improve the ontology.

[0062] According to the second aspect of the present invention, a battlefield knowledge dynamic representation device based on 4D flow ontology is used for air defense and anti-missile operations, and includes: a collection module, an extraction module, a determination module, an ontology construction module and an instance construction module.

[0063] Specifically, the collection module is used to collect battlefield information of air defense and anti-missile operations and form a database. The combat domains of air defense and anti-missile operations include land, water and air. The combat forces on land include missile launchers, command and control vehicles, radar vehicles and decoy vehicles. The combat forces on water include aircraft carriers, destroyers, patrol ships, support ships and monitoring ships. The combat forces in airspace include fighters, reconnaissance aircraft, patrol aircraft, tankers, bombers, early warning aircraft and transport aircraft. The extraction module is based on SUMO. Combined with the understanding of the process of air defense and anti-missile operations, it extracts top-level concepts and divides entities into abstract entities and physical entities. Abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets and plans. Physical entities include combat entities and geographical entities. The determination module is used to determine the relationship between combat entities and the activities or task types in which combat entities participate. The ontology construction module is used to determine the scope of the air defense and anti-missile 4D flow ontology based on the semantic information abstracted from the database, and construct the air defense and anti-missile 4D flow ontology according to the following formula:

[0064] G=f(S,T,A,E)

[0065] In the formula, G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; and E represents the event ontology. The instance construction module is used to construct instances and their attribute relationships and attribute values.

[0066] The battlefield knowledge dynamic representation device based on 4D flow ontology according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, help to play an important role in battlefield element updating, battlefield situation analysis and command and control decision-making, and has good dynamic adaptability and environmental adaptability, realizes the adaptive design of weapons and equipment, and optimizes battlefield information management.

[0067] According to an embodiment of the third aspect of the present invention, an electronic device includes a processor and a memory, the processor and the memory are connected, the memory is used to store a computer program, and when the computer program is executed by the processor, the method for dynamic representation of battlefield knowledge based on 4D flow ontology as described in the embodiment of the first aspect of the present invention is implemented.

[0068] The electronic device according to the embodiment of the present invention can realize the unified description and expression of multi-source heterogeneous data, realize the correlation and fusion of battlefield ontology elements and time based on the entity life cycle, help to play an important role in battlefield element updating, battlefield situation analysis and command and control decision-making, and has good dynamic adaptability and environmental adaptability, realizes the adaptive design of weapons and equipment, and optimizes battlefield information management.

[0069] Other structures and operations of the electronic device according to the embodiment of the present invention are known to those skilled in the art and will not be described in detail here.

[0070] In the description of the present invention, it is to be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0071] In the description of the present invention, "a first feature" or "a second feature" may include one or more of the features. A first feature "above" or "below" a second feature may include direct contact between the first and second features, or may include contact between the first and second features through another feature between them instead of direct contact. A first feature "above", "above" or "above" a second feature may include the first feature being directly above or obliquely above the second feature, or may simply mean that the first feature is higher in level than the second feature.

[0072] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0073] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "specific embodiments", "examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0074] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A battlefield knowledge dynamic representation method based on 4D flow ontology for air defense and anti-missile operations, characterized in that: include: Collect battlefield information of the air defense and anti-missile operations and form a database. The combat domain of the air defense and anti-missile operations includes land, water and air. The combat forces in the land include missile launchers, command and control vehicles, radar vehicles and decoy vehicles. The combat forces in the water include aircraft carriers, destroyers, patrol ships, support ships and monitoring ships. The combat forces in the air include fighters, reconnaissance aircraft, patrol aircraft, tankers, bombers, early warning aircraft and transport aircraft. Based on SUMO, combined with the understanding of the process of air defense and anti-missile operations, the top-level concepts are extracted and entities are divided into abstract entities and physical entities. The abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets, and plans, and the physical entities include combat entities and geographical entities. Determine the relationships between the combat entities and the types of activities or missions in which the combat entities are involved; According to the semantic information abstracted from the database, the scope of the air defense and anti-missile 4D flow ontology is determined, and the air defense and anti-missile 4D flow ontology is constructed according to the following formula: In the formula, G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; E represents the event ontology; Build instances and their attribute relationships and attribute values.

2. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 1 is characterized in that: The combat entities include combat formations and weapons and equipment. The combat formations include dynamic combat formations and basic formations. The weapons and equipment include platforms and components. The platforms include ground-based platforms, space-based platforms, surface ship platforms and airspace platforms. The geographic entities include man-made objects and geographic objects.

3. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 1 is characterized in that: The combat role includes the combat domain, combat mission role and confrontation role, the relationship includes time relationship, spatial relationship, behavioral relationship and logical relationship, the occurrence includes events, actions and processes, and the attributes include relationship attributes and endogenous attributes.

4. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 1 is characterized in that: Also includes: According to the combat mission requirements, select the mission units that meet the actual combat requirements, and select their models, types and quantities of mounted weapons and equipment; Determine the types of object relationships between the task units, including equipped on, mounted on, and capable of; Determine the type of attribute relationship, including detection range, range, and start time.

5. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 1 is characterized in that: The instances of the same type are distinguished by different numbers, and object relationships are established between different instances.

6. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 5 is characterized in that: The examples include reconnaissance aircraft, dynamic combat formations, ground-to-air missile battalions, missiles, missile launchers, fighter jets, and time points.

7. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 6 is characterized in that: The combat mission roles include air defense, firepower strike, information confrontation, target detection, target indication, and radar alert; the geographical objects include S_r0, S_r1, the East China Sea, and the South China Sea; the reconnaissance aircraft include reconnaissance aircraft-Ar-1-T1, reconnaissance aircraft-Ar-1-T2, reconnaissance aircraft-Ar-2-T1, and reconnaissance aircraft-Ar-2-T2; the fighters include fighter-Fr-1-T2, fighter-Fb-1, fighter-Fb-2, fighter-Fb-3, fighter-Fr-1, fighter-Fr-2, and fighter-Fr-3; the dynamic combat formations include fighter formation-Fr-T0, fighter formation-Fr-T1, fighter formation-Fr-T2, fighter formation-Fb-T0, fighter formation-Fb-T1, fighter formation-Fb-T2, fighter formation-Fr, and fighter formation-Fb; and the time points include T0, T1, and T2.

8. The battlefield knowledge dynamic representation method based on 4D flow ontology according to claim 1 is characterized in that: Object attributes include composite relationships, occurrence relationships, logical relationships, individual relationships, aggregate relationships, 4D flow relationships, entity-concept domain relationships, time topological relationships, and concept domain-entity relationships. The composite relationships include collaboration, accusation, communication, and entity relationships. The occurrence relationships include occurrence trigger relationships and occurrence space-time relationships. The logical relationships include being a target, having a plan, and having a purpose. The individual relationships include individual abstract relationships. The aggregate relationships include aggregate physical relationships and aggregate abstract relationships. The 4D flow relationships include time slices, having child objects, and having parent objects. The entity-concept domain relationships include geographic location with semantics, being in the OODA loop, being in the combat domain, being in the combat link, being in the entity cognition domain, and being in the confrontation attribution domain.

9. A battlefield knowledge dynamic representation device based on 4D flow ontology, used for air defense and anti-missile operations, characterized in that: include: A collection module, wherein the collection module is used to collect battlefield information of the air defense and anti-missile operation and form a database, wherein the combat domain of the air defense and anti-missile operation includes land, water and air, wherein the combat force in the land includes missile launchers, command and control vehicles, radar vehicles and decoy vehicles, wherein the combat force in the water includes aircraft carriers, destroyers, patrol ships, support ships and monitoring ships, and wherein the combat force in the air includes fighters, reconnaissance aircraft, patrol aircraft, tanker aircraft, bomber aircraft, early warning aircraft and transport aircraft; An extraction module, based on SUMO, combined with the process understanding of the air defense and anti-missile operation, extracts the top-level concepts and divides the entities into abstract entities and physical entities, wherein the abstract entities include combat roles, relationships, occurrences, attributes, time, space, targets, and plans, and the physical entities include combat entities and geographic entities; A determination module, the determination module is used to determine the relationship between the combat entities, the activities or mission types in which the combat entities participate; The ontology construction module is used to determine the scope of the air defense and anti-missile 4D flow ontology according to the semantic information abstracted from the database, and construct the air defense and anti-missile 4D flow ontology according to the following formula: In the formula, G represents the air defense and anti-missile 4D flow ontology; S represents the space ontology; T represents the time ontology; A represents the type ontology; E represents the event ontology; An instance construction module is used to construct an instance and its attribute relationships and attribute values.

10. An electronic device, characterized in that: The electronic device includes a processor and a memory, the processor is connected to the memory, the memory is used to store a computer program, and when the computer program is executed by the processor, the battlefield knowledge dynamic representation method based on 4D flow ontology as described in any one of claims 1-8 is implemented.

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