CN101877026A - Knowledge-based battle damage simulation device and method - Google Patents
Knowledge-based battle damage simulation device and method Download PDFInfo
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Abstract
The invention discloses a knowledge-based battle damage simulation device and a knowledge-based battle damage simulation method. The device comprises a knowledge base, a damage calculation module, a weapon/target simulation module and a component searching module, wherein the knowledge base is used for storing military target knowledge, weapon knowledge and battle damage algorithm knowledge; the damage calculation module is used for searching a knowledge base for an appropriate battle damage algorithm according to weapon and target information and operating the appropriate battle damage algorithm; the weapon/target simulation module comprises but is not limited to the functions of position updating, attack event producing and damage result responding; and the component searching module is used for finding out an attacked military target and a specific component according to the space position and the attack range of a weapon. A simulation frame and an algorithm specification disclosed by the invention have the characteristics of high generality, integration and expansion of various battle damage algorithms and contribution to the simulation of specific characteristics of the weapon, and avoids the influences of damage on functions and complex phenomena such as secondary effect.
Description
Technical field
The invention belongs to computer realm, relate to Computer Simulation, the representation of knowledge,, propose a kind of battle injury emulation mode based on knowledge specifically at Military Simulation and computer game.
Background technology
Battle injury is meant and is equipped in the operation use, causes serious decline of function to influence a kind of state of effective utilization owing to the attack that is subjected to enemy's weapon wrecks its parts, also claims combat damage, is called for short war and decreases.It also comprises the soft damage that electromagnetism, laser etc. cause except the hard damage that comprises various bullets, shell, bomb, guided missile etc. and cause.Battle injury emulation is the basic ingredient of various Military Simulation system, is the key that embodies weaponry fire performance and barrier propterty.In antagonistic computer game, battle injury emulation also is indispensable.
In the computer game field, the normative model of simplification is adopted in battle injury emulation more, uses such as attribute description virtual objects such as " vital values ", " attacks ".The advantage of this method be calculation cost little, be convenient to the expansion.Shortcoming is true to nature inadequately: be difficult to embody the influence of damage to the virtual objects function, phenomenon such as can't move after impaired such as tank track; Be difficult to embody the concrete characteristics of weapon, the power of high explosive anti-tank cartridge and velocity of shot are irrelevant such as the power of armor-piercing bullet is relevant with velocity of shot.
In the Military Simulation field, existing a series of battle injury simulation algorithms more true to nature.Because the complicacy of battle injury process, generally these algorithms are only at specific weapon and specific military target, for example armor-piercing bullet to tank, howitzer to tank.In order to realize of the battle injury emulation of multiple weapon to multiple military target, need one of design general, extendible battle injury simulation frame and corresponding algorithm specification, be used for integrated various types of battle injury simulation algorithm.
The key of this method is to formulate into weapon, military target and battle injury simulation algorithm the describing mode of standard.This relates to body (Ontology) technology in representation of knowledge field.Body has multiple different definition, and is wherein the most famous and be cited to such an extent that definition the most widely proposes " body is the clear and definite normalized illustration of generalities " by Gruber.
Summary of the invention
The objective of the invention is, in order to realize the battle injury emulation true to nature between multiple weapon and the multiple military target, design extendible simulation frame and algorithm specification, this framework is wanted to merge various types of battle injury simulation algorithms, thus, the invention provides a kind of battle damage simulation device and method based on knowledge.
To achieve these goals, the present invention has designed a kind of battle damage simulation device based on knowledge, comprising: the knowledge base with storage military target knowledge, weapons know how and battle injury algorithm knowledge; The damage computing module is connected with knowledge base, receiving " attack " afterwards,, from knowledge base, searching and moving suitable battle injury algorithm according to weapon and military target information, obtain the battle injury result, and the access interface of search algorithm data message is provided; Weapon/target simulator module is connected with the access interface of knowledge base, damage computing module and component retrieval module, read the weapon and the military target knowledge of knowledge base, thereby send to the component retrieval module all military targets positional information, weapon the locus and hit range information and find military target and the parts that hit, send " attack " to the damage computing module, receive the also damage result of response damage computing module, wherein " attack " military target and component information of comprising weapon information and being hit; The component retrieval module is connected with weapon/target simulator module, receive the position of the military target of weapon/target simulator module transmission, the locus and the strike range information of weapon, according to the locus and the strike range information of weapon, find out military target and the concrete parts attacked again.
To achieve these goals, the emulation mode of a kind of battle injury based on knowledge of the present invention design, based on the battle damage simulation device of knowledge, realize that the simulation process of battle injury is as follows:
Step 1: system initialization, utilize the damage computing module to read in algorithm knowledge from knowledge base; Weapon/target simulator module is read in weapons know how and military target knowledge from knowledge base, and registers the military target and the parts of being simulated to the component retrieval module;
Step 2: weapon/target simulator module is upgraded the positional information of military target to the component retrieval module;
Step 3: if emulation personnel operation weapon is launched a offensive, then execution in step 4, if the emulation personnel selection is withdrawed from, then emulation finishes, and do not launch a offensive and also do not select to withdraw from emulation if the emulation personnel have both operated weapon, and then execution in step 2;
Step 4: weapon/target simulator module uses the component retrieval module to determine military target and the parts that hit, and sends attack to the damage computing module;
Step 5: the damage computing module is searched corresponding battle injury algorithm, and is carried out this algorithm according to the weapon information in the attack and military target and component information in knowledge base, will damage the result then and send to weapon/target simulator module;
Step 6: weapon/target simulator module responds damage result, execution in step 2 then.
Preferably, military target knowledge in the described knowledge base, be used to store the knowledge of military target and parts thereof, each parts of forming military target are stored on the knowledge tree as knowledge node, and parts and the military target of describing as a whole are two branches of military target knowledge tree; All military targets and building block thereof are formed knowledge tree according to hyponymy; Knowledge tree node memory attribute, hyponymy and member relation.
Preferably, the algorithm knowledge in the described knowledge base is formed knowledge tree according to hyponymy; The attribute of knowledge tree node storage algorithm, the minimum description that comprises about this algorithm usable range of attribute; Algorithm knowledge is consistent with the algorithm of realizing in the damage computing module.
Preferably, the weapons know how in the described knowledge base, its all weapons are formed knowledge tree according to hyponymy; The attribute of weapons know how tree node storage weapon, and a mapping from military target knowledge tree node to algorithm knowledge tree node; This mapping for any leaf node on the military target knowledge tree, in this node and the upper node thereof the rarest one in mapping.
Preferably, the integrated various battle injury algorithms of described damage computing module provide the algorithm queries function, according to weapon and military target, search suitable algorithm in the mapping of algorithm knowledge tree node from knowledge base; For all battle injury algorithms provide the access interface of algorithm queries function, so that when the battle injury algorithm is carried out, recursively call inquiry and algorithm execution; The damage calculation procedure comprises algorithm queries and algorithm execution.
Preferably, described battle injury algorithm, all algorithms meet following standard: the input of algorithm comprises weapon and the military target of being hit and the description of parts; The attribute of the weapon of input is consistent with the attribute of weapons know how tree node, but does not comprise the algorithm mapping; Military target and parts that the quilt of input hits, its attribute is consistent with the attribute of military target knowledge tree node, and the military target and the parts that are hit are formed tree structure according to member relation; Be output as the state update event or the destruction incident of institute's input object.
Preferably, described weapon/target simulator is when system initialization, to the profile of component retrieval module registration military target and parts and position, directional information; When the military target locus, when direction changes, send position, direction update event to the component retrieval module; When weapon was launched a offensive, the military target and the parts that use the inquiry of component retrieval module to be hit sent incident to the damage computing module, and event content comprises the input that damages algorithm, and its form is consistent with the input cannonical format; The response outgoing event, the more attribute of modern weapons/military target, visual effect and detect quadratic effect when receiving the state update event are destroyed when receiving the destruction incident of military target and are nullified corresponding military target in the component retrieval module.
The invention has the advantages that:
1, the battle injury emulation mode based on knowledge of the present invention on the one hand, is used conceptual knowledge tree representation weapon and military target knowledge, and ability to express is strong, can satisfy the demand of various battle injury simulation algorithms; On the other hand, the normal constraint to algorithm is little.So this method has good versatility.
2, the battle injury emulation mode based on knowledge of the present invention, the description of weapon, military target knowledge and algorithm and parameter knowledge store are in knowledge base, and the realization of algorithm is divided in the damage computing module (program).Knowledge base is easy to expansion, program run efficient height.The present invention has taken into account extendability and operational efficiency.
3, the battle injury simulation frame based on knowledge of the present invention, military target knowledge comprise the description of military target building block so that the impaired influence to function of analog component; Thereby this framework can integrated various types of battle injury algorithms can embody the concrete characteristics of weapon; This framework has been considered the simulation of quadratic effect.Therefore, need only integrated enough algorithms in this framework, emulation just has very high fidelity.
4, the battle injury emulation mode based on knowledge of the present invention, the battle injury algorithm knowledge in the knowledge base is stored independently as a knowledge tree, helps reusing of algorithm.
5, the battle injury emulation mode based on knowledge of the present invention, knowledge easy to understand such as the military target in the knowledge base, weapon, damage algorithm, verification and shared.
Description of drawings
Fig. 1 is the composition structural drawing of the battle injury emulation mode based on knowledge of the present invention.
The drawing explanation
1 knowledge base
2 damage computing modules
3 weapons/target simulator module
4 component retrieval modules
11 military target knowledge
12 weapons know hows
13 battle injury simulation algorithm knowledge
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with concrete embodiment, and with reference to accompanying drawing, the present invention is described in more detail.
As shown in Figure 1, the battle injury emulation mode based on knowledge of the present invention realizes comprising: knowledge base 1, damage computing module 2, weapon/target simulator module 3 and component retrieval module 4 on computers.
Knowledge base 1 storage military target knowledge 11, weapons know how 12 and battle injury algorithm knowledge 13.Knowledge base 1 is based on conceptual knowledge tree knowledge representation system.Conceptual knowledge tree is that a kind of well-formed, inference mode are flexible, and the knowledge representation method that declarative knowledge and procedural knowledge can be unified to describe.Notion is as the elementary cell of knowledge semanteme, use attribute, relation and three intensions that will usually express notion of behavior, i.e. notion={ attribute, relation, behavior }.Wherein, attribute is the essential characteristic of notion, and notion is played expression and differentiation; Relation is connecting each other between notion, and the attribute of notion and behavior are inherited because of the existence of relation and developed; Behavior is the interaction between notion, has embodied the kinetic characteristic of things, is the driving source that concept development changes.The conceptual knowledge tree is according to the specific classification standard at a certain field, with the basic structure of notion as expression of significance, rely on the behavior of notion and the interactional knowledge hierarchyization of various relations formation meaning subject between the notion to represent that notion is the basis of whole knowledge tree system.Same notion can appear in the different knowledge trees, that is to say, can describe identical concept from different sides and angle.As the important component part of conceptual knowledge tree, knowledge node is to the expression of classificating knowledge in a certain respect of this field.Similar with notion, knowledge node also comprises attribute, relation, behavior three parts.This knowledge representation system comprises a conceptual base.Notion in the conceptual base is divided into independent notion and compound notion.The semanteme of compound notion is through being composited by independent notion.In the compound process of semanteme, the expressed intension of notion increases, and extension reduces.According to the complex method of notion, compound notion is divided into three kinds: semantic constraint, semantic state and semantic logic.Set up the domain knowledge tree on the basis of conceptual base, the formalization representation of described knowledge tree is:
＜knowledge tree 〉: :=＜the knowledge tree title〉＜node layer〉*
＜knowledge tree title 〉: :=＜character string 〉
＜top mode 〉: :=＜node〉*
＜node 〉: :=＜sequence number〉＜nodename〉＜the node notion〉[＜parent node 〉] [with the father
Node relationships] [＜subclass node〉*] [＜nodal community 〉]
＜sequence number 〉: :=＜character string 〉
＜nodename 〉: :=＜character string 〉
＜node notion 〉: :=＜semantic meaning representation 〉
＜semantic meaning representation 〉: :=＜notion〉|＜semantic constraint〉|＜semantic state〉|＜semantic logic 〉
＜parent node 〉: :=＜node 〉
＜with node relationships: :=＜hyponymy |＜integral body and local relation 〉
＜subclass node 〉: :=＜node 〉
＜nodal community 〉: :=＜Property Name〉＜property value 〉
＜Property Name 〉: :=＜notion〉|＜compound notion 〉
＜property value 〉: :=＜symbol 〉
＜symbol 〉: :=＜integer〉|＜character string〉|＜floating number〉|＜date〉|＜semantic meaning representation 〉
Wherein: * represents to occur once or repeatedly, | expression or, [] expression is optional.
Same notion can appear in the different knowledge trees." fuel tank " this notion for example: on the one hand, fuel tank can be by other weapon attackings as a common components, thereby have " fuel tank " node on military target knowledge 11 trees; On the other hand, fuel tank self blast has certain lethality, and especially the military target influence to aircraft one class is bigger, thereby also has " fuel tank " node on weapons know how 12 trees.
Military target knowledge 11 in the described knowledge base 1, the knowledge that is used to store military target and parts thereof.The node of military target knowledge 11 trees both can be the military target of describing as a whole (such as tank), also can be the parts (such as fuel tank, crawler belt) on the military target.All military targets and building block thereof are formed knowledge tree according to hyponymy.Advantage according to the hyponymy tissue is the efficient that makes things convenient for algorithm to reuse and improve the weapons know how structure, and this is because in the algorithm mapping of weapons know how 12, the next node that simulation algorithm all is applicable to this node is decreased in the war of any military target node correspondence.For example pistol can be ignored the lethality of any tank, being pistol all uses same battle injury simulation algorithm to the tank of disposable type, decrease in the algorithm mapping in the war of pistol, only need the war of storage tank node correspondence to decrease algorithm, the any the next node of tank (such as the M1A2 tank, the T72 tank) does not need to be stored in the mapping of pistol algorithm of nodes.Military target knowledge 11 tree nodes are also stored member relation except memory attribute, hyponymy.The purpose of storage member relation is the influence of analog component damage to allomeric function.
Algorithm knowledge 13 in the described knowledge base 1 is used to store the description of usable range of battle injury simulation algorithm and the parameter of algorithm.All algorithms are formed knowledge tree according to hyponymy, and this membership credentials easy to understand is convenient to selection algorithm when the algorithm mapping that makes up the weapons know how tree.The attribute of knowledge tree node storage algorithm, the minimum description that comprises about this algorithm usable range of attribute.Algorithm knowledge 13 is consistent with damaging the algorithm of realizing in the computing module 2, and promptly each leaf node on algorithm knowledge 13 trees all has corresponding algorithm to realize at the damage computing module.
All possess the weaponry or the parts of lethality weapons know how 12 storages in the knowledge base 1.As long as there is lethality just need be stored in the weapons know how tree, for example " fuel tank " can explode that generation kills and wounds thereby weapons know how is set and had " fuel tank " node.All weapons are formed knowledge tree according to hyponymy.The attribute of weapons know how tree node storage weapon, attribute comprises performance parameter, state and mapping from military target knowledge 11 tree nodes to algorithm knowledge 13 tree nodes of weapon.This mapping is used to search the war that should call when this weapon hits specific objective and decreases simulation algorithm.This mapping is complete, promptly for any leaf node on the military target knowledge tree, in this node and the upper node thereof the rarest one in mapping.
Damage computing module 2 is used for integrated various battle injury algorithm and carries out battle injury emulation.Damage computing module 2 provides the algorithm queries function, according to weapon and military target, searches suitable algorithm in the war damage algorithm mapping attribute of described weapons know how 12 nodes.For example: when weapon be armor-piercing bullet, when military target is the M1A2 tank, algorithm queries is exactly that war on the armor-piercing bullet knowledge node of weapons know how 12 is decreased the algorithm mapping and searched war damage algorithm with " M1A2 tank ", if do not find then the upper node " main battle tank " " tank " " armored vehicle " of using " M1A2 tank " ... search successively Deng in the node, till finding suitable war to decrease algorithm.For all battle injury algorithms provide the access interface of algorithm queries function, so that when the battle injury algorithm is carried out, recursively call inquiry and algorithm execution.For example armor-piercing bullet is to the battle injury simulation algorithm of tank, this algorithm calls algorithm queries functional inquiry armor-piercing bullet the damage simulation algorithm of crawler belt is also carried out the damage result who obtains crawler belt when carrying out, assess the influence of crawler belt damage to tank allomeric function attribute then.
Described battle injury algorithm meets following standard: the input of algorithm comprises weapon and the military target of being hit and the description of parts; The attribute of the weapon of input is consistent with the attribute of weapons know how 12 tree nodes described in the technique scheme, but does not comprise the algorithm mapping; Military target and parts that the quilt of input hits, its attribute is consistent with the attribute of military target knowledge 11 tree nodes described in the technique scheme, and the military target and the parts that are hit are formed tree structure according to member relation.Be output as the state update event or the destruction incident of institute's input object.Is example with armor-piercing bullet to the damage algorithm of tank, and wherein a kind of legal input example is: weapon is an armor-piercing bullet, and this moment, the attributes such as position, speed of armor-piercing bullet all had concrete value (property value of these attribute correspondences is for empty in knowledge tree); The tree that military target and parts are formed, root node is a tank, two child nodes are respectively crawler belt and bogie wheel.Is example with armor-piercing bullet to the damage algorithm of tank, and wherein a kind of legal output example is: the destruction incident of armor-piercing bullet; The update event of the update event of tank functional status and crawler belt state.
Described weapon/target simulator module 3 is responsible for the simulation of weaponry and military target, but does not comprise damage calculating.When weapon was launched a offensive, weapon/target simulator module 3 produced attack so that damage computing module 2 damages calculating accordingly.After damage is calculated, weapon/target simulator module 3 response damage result calculated.
Component retrieval module 4 is used to search military target and the parts that weapon hits.Its implementation is similar to the collision detection algorithm in the field of Computer Graphics.A kind of feasible implementation method is, the space is divided, military target and parts according to its position, distribution of shapes on different subspace; The strike scope of weapon is as body (ray, right cylinder, a spheroid ... Deng) intersect test with military target/parts, at first hit military target and the parts that the subspace initial option of scope place is hit according to weapon, military target and the parts to primary election carry out intersecting accurately test one by one then.
The simulation process that weapon hits military target comprises:
A) weapon is launched a offensive, and weapon/target simulator module 3 uses component retrieval 4 modules to determine military target and the parts that hit according to the strike scope of weapon, sends attack to damage computing module 2;
B) damage computing module 2 is searched corresponding battle injury algorithm in knowledge base 1, and carries out this algorithm;
C) damage computing module 2 sends damage result of calculation to weapon/target simulator module 3, and device/target simulator module 3 is made response.
Be an example of considering components damage to the allomeric function influence below.Weapon is an armor-piercing bullet, and military target is a tank, considers the impaired influence to the tank mobility attribute of crawler belt.In knowledge base, military target knowledge 11 trees comprise tank node and crawler belt node, and " mobility state " this attribute and " crawler belt " this member relation are arranged on the tank node.Comprise " armor-piercing bullet is to tank " and " armor-piercing bullet is to crawler belt " two nodes on algorithm knowledge 13 trees.Weapons know how 12 comprises the armor-piercing bullet node, and the war of this node is decreased in the algorithm mapping: the tank corresponding algorithm is " armor-piercing bullet is to tank "; The crawler belt corresponding algorithm is " armor-piercing bullet is to crawler belt ".The simulation flow of armor-piercing bullet strike tank is as follows:
A) in weapon/target simulator module 3, cannon emission armor-piercing bullet, what determine to be hit by the component retrieval module is tank, and concrete parts are crawler belts, send attack, and the content of incident is an armor-piercing bullet, tank and crawler belt;
B) after damage computing module 2 is received above-mentioned attack, in the armor-piercing bullet algorithm of nodes mapping of weapons know how 12 trees, search the tank corresponding algorithm from knowledge base 1, the algorithm that finds is " armor-piercing bullet is to tank " algorithm;
C) carry out " armor-piercing bullet is to tank " algorithm, this algorithm is searched the war of crawler belt correspondence and is decreased algorithm at first according to stricken parts " crawler belt " from the mapping of armor-piercing bullet algorithm of nodes, and the algorithm that finds is " armor-piercing bullet is to crawler belt " algorithm; Carry out " armor-piercing bullet is to crawler belt " algorithm, the result is the crawler belt fracture; According to the crawler belt fracture, estimate tank and lose maneuverability;
D) damage computing module 2 is to weapon/target simulator module 3 output results.
Be that simulation example is decreased in a war of considering quadratic effect below.Military target is an aircraft, and blasting after the fuel tank on the aircraft is hit, generation kills and wounds to aircraft.Comprise aircraft node and fuel tank node on military target knowledge 11 trees in the knowledge base 1, the fuel tank node comprises the attribute whether an expression explodes; Comprise the fuel tank node on weapons know how 12 trees.The simulation process of quadratic effect is:
A) certain weapon hits the fuel tank on the aircraft, and the result of damage computing module 2 emulation is fuel tank explosions, sends the fuel tank state updating information to weapon/target simulator module 3, and its property value that " whether explodes " is true;
B) after weapon/target simulator module 3 is received above-mentioned incident,, determine affected military target and parts by component retrieval module 4 according to the coverage that the oil amount determination of fuel tank is exploded; Send attack, weapon is a fuel tank in the incident, and stricken military target is an aircraft;
C) after damage computing module 2 is received above-mentioned attack, the fuel tank algorithm of nodes mapping from weapons know how 12 trees of knowledge base 1, search the war of aircraft correspondence and decrease algorithm;
D) damage computing module 2 is carried out the war of being found and is decreased algorithm; Send the result to weapon/target simulator module 3;
E) weapon/3 couples of damage results that produce because of fuel tank explosion of target simulator module make response.
Describing above is to be used to realize embodiment of the present invention, scope of the present invention should not described by this and limit, it should be appreciated by those skilled in the art,, all belong to claim of the present invention and come restricted portion in any modification or partial replacement that does not depart from the scope of the present invention.
Claims (8)
1. the battle damage simulation device based on knowledge is characterized in that, comprising:
Knowledge base (1) with storage military target knowledge, weapons know how and battle injury algorithm knowledge;
Damage computing module (2) is connected with knowledge base (1), receiving " attack " afterwards,, from knowledge base (1), searching and moving suitable battle injury algorithm according to weapon and military target information, obtain the battle injury result, and the access interface of search algorithm data message is provided;
Weapon/target simulator module (3) and knowledge base (1), the access interface of damage computing module (2) and component retrieval module (4) connects, read the weapon and the military target knowledge of knowledge base (1), send the positional information of all military targets to component retrieval module (4), thereby the locus of weapon and strike range information thereof find military target and the parts that hit, send " attack " to damage computing module (2), receive the also damage result of response damage computing module (2), wherein " attack " military target and component information of comprising weapon information and being hit;
Component retrieval module (4) is connected with weapon/target simulator module (3), receive the position of the military target of weapon/target simulator module (3) transmission, the locus and the strike range information of weapon, according to the locus and the strike range information of weapon, find out military target and the concrete parts attacked again.
2. the emulation mode based on the battle injury of knowledge is characterized in that, based on the battle damage simulation device of knowledge, realizes that the simulation process of battle injury is as follows:
Step 1: system initialization, utilize the damage computing module to read in algorithm knowledge from knowledge base; Weapon/target simulator module is read in weapons know how and military target knowledge from knowledge base, and registers the military target and the parts of being simulated to the component retrieval module;
Step 2: weapon/target simulator module is upgraded the positional information of military target to the component retrieval module;
Step 3: if emulation personnel operation weapon is launched a offensive, then execution in step 4, if the emulation personnel selection is withdrawed from, then emulation finishes, and do not launch a offensive and also do not select to withdraw from emulation if the emulation personnel have both operated weapon, and then execution in step 2;
Step 4: weapon/target simulator module uses the component retrieval module to determine military target and the parts that hit, and sends attack to the damage computing module;
Step 5: the damage computing module is searched corresponding battle injury algorithm, and is carried out this algorithm according to the weapon information in the attack and military target and component information in knowledge base, will damage the result then and send to weapon/target simulator module;
Step 6: weapon/target simulator module responds damage result, execution in step 2 then.
3. battle injury emulation mode as claimed in claim 2, it is characterized in that: the military target knowledge in the described knowledge base, be used to store the knowledge of military target and parts thereof, each parts of forming military target are stored on the knowledge tree as knowledge node, and parts and the military target of describing as a whole are two branches of military target knowledge tree; All military targets and building block thereof are formed knowledge tree according to hyponymy; Knowledge tree node memory attribute, hyponymy and member relation.
4. battle injury emulation mode as claimed in claim 2 is characterized in that: the algorithm knowledge in the described knowledge base, form knowledge tree according to hyponymy; The attribute of knowledge tree node storage algorithm, the minimum description that comprises about this algorithm usable range of attribute; Algorithm knowledge is consistent with the algorithm of realizing in the damage computing module.
5. battle injury emulation mode as claimed in claim 2 is characterized in that: the weapons know how in the described knowledge base, and its all weapons are formed knowledge tree according to hyponymy; The attribute of weapons know how tree node storage weapon, and a mapping from military target knowledge tree node to algorithm knowledge tree node; This mapping for any leaf node on the military target knowledge tree, in this node and the upper node thereof the rarest one in mapping.
6. battle injury emulation mode as claimed in claim 2, it is characterized in that: the integrated various battle injury algorithms of described damage computing module, the algorithm queries function is provided,, from knowledge base, searches suitable algorithm in the mapping of algorithm knowledge tree node according to weapon and military target; For all battle injury algorithms provide the access interface of algorithm queries function, so that when the battle injury algorithm is carried out, recursively call inquiry and algorithm execution; The damage calculation procedure comprises algorithm queries and algorithm execution.
7. battle injury emulation mode as claimed in claim 6 is characterized in that: described battle injury algorithm, and all algorithms meet following standard: the input of algorithm comprises weapon and the military target of being hit and the description of parts; The attribute of the weapon of input is consistent with the attribute of weapons know how tree node, but does not comprise the algorithm mapping; Military target and parts that the quilt of input hits, its attribute is consistent with the attribute of military target knowledge tree node, and the military target and the parts that are hit are formed tree structure according to member relation; Be output as the state update event or the destruction incident of institute's input object.
8. battle injury emulation mode as claimed in claim 2 is characterized in that: described weapon/target simulator, when system initialization, to the profile of component retrieval module registration military target and parts and position, directional information; When the military target locus, when direction changes, send position, direction update event to the component retrieval module; When weapon was launched a offensive, the military target and the parts that use the inquiry of component retrieval module to be hit sent incident to the damage computing module, and event content comprises the input that damages algorithm, and its form is consistent with the input cannonical format; The response outgoing event, the more attribute of modern weapons/military target, visual effect and detect quadratic effect when receiving the state update event are destroyed when receiving the destruction incident of military target and are nullified corresponding military target in the component retrieval module.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106887169A (en) * | 2017-02-13 | 2017-06-23 | 中国人民解放军第二军医大学 | There is ASS in a kind of marine sick and wounded |
| CN113627024A (en) * | 2021-08-13 | 2021-11-09 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
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2009
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106887169A (en) * | 2017-02-13 | 2017-06-23 | 中国人民解放军第二军医大学 | There is ASS in a kind of marine sick and wounded |
| CN113627024A (en) * | 2021-08-13 | 2021-11-09 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
| CN113627024B (en) * | 2021-08-13 | 2022-03-11 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
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