CN116136873A - Intelligent evaluation unit and method for military plotting integrating context and military semantics - Google Patents
Intelligent evaluation unit and method for military plotting integrating context and military semantics Download PDFInfo
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Abstract
The invention relates to a military plotting intelligent judging unit and method integrating context and military semantics, and the invention relates to the technical field of military information processing, wherein the unit comprises: the plotting information input module is used for inputting military target identification and the geographic position of the military target; the standardized conversion module is used for marking military targets; the fusion judging module is used for fusing the context and the military semantics to acquire a military plotting judging result and a data set of prompt information; and the judgment result output module is used for outputting military plotting judgment results and prompt information. The military plot intelligent judging unit and method integrating the context and the military semantics, provided by the invention, can realize reasonable diagnosis of the military plot by integrating the geographic context information and the combat rule military semantics of the weapon equipment, can also be applied to detection of abnormal events of the battlefield situation, thereby improving the cognition level of the battlefield situation and having good military application prospect.
Description
Technical Field
The invention relates to the technical field of military information processing, in particular to a military plotting intelligent judging unit and method integrating context and military semantics.
Background
In the battlefield situation comprehensive display, standardized army labels are often adopted as the most basic display symbol units. Military plotting mainly completes the symbolization process, and currently, two plotting modes, namely manual plotting based on manpower and automatic plotting based on machinery, mainly exist.
The manual plotting mainly refers to military plotting on-board operation of fighters, namely, the fighters plot the fighters manually according to fight tasks and the like, but the rationality diagnosis of the military plotting is mainly based on the experience of the traditional fighters at present, and the subjective randomness is high; and manual plotting is performed manually under most conditions, so that the diagnosis efficiency is low. The level of the plotter is generally determined formally from the aspects of geometric shape and the like by comparing the target drawing of the fighter with a standard drawing prepared in advance. However, this determination lacks deep consideration of military operations rules, such as landing of a helicopter on the water, which is contrary to common military wisdom: the armed helicopter does not have water mooring capabilities.
The machine automatic plotting is mainly used for comprehensively displaying the battlefield situation driven by data. The current battle concepts of army and army have been fully turned to cross-domain combined battle, and the large-scale complex battlefield comprehensive situation display has been adopted with data-driven automatic plotting. However, the military targets automatically plotted by the machine are numerous, exceed the visual cognitive load capacity of commanders, and only depend on human eyes, so that whether the targets are in an abnormal state cannot be quickly identified. For example, an armed helicopter is currently landing on the water, and at this time, it is likely that the target has been knocked down, etc., and these sudden abnormal events characterize changes in battlefield situations, which are important points of interest for combat decision.
Disclosure of Invention
The invention aims to provide a military plotting intelligent judging unit and method integrating context and military semantics, which are used for solving the defects in the prior art.
The military plotting intelligent judging unit for merging the context and the military semantics provided by the invention comprises:
the plotting information input module is used for inputting military target identification and the geographic position of the military target;
the standardized conversion module is used for carrying out standardized processing on the military target by adopting a library number lib of a label library where the military target identification is positioned and a code number code in a corresponding label library to generate a standard label E= (lib, code) of the military target;
the fusion judging module is used for inquiring the combat rule military semantic subset Rs and the geographic context information subset Cs related to the standard label according to the standard label E= (lib, code) of the military target generated by the standardized conversion module, carrying out logic dependency detection on a set formed by each geographic context information identifier c in the related geographic context information subset Cs and each combat rule military semantic identifier r in the combat rule military semantic subset Rs, and acquiring a military plotting judging result and a data set of prompt information according to a logic dependency detection result;
and the judgment result output module is used for outputting the military plotting judgment result and the prompt information acquired by the fusion judgment module.
In the above scheme, the fusion judgment module includes a geographic context information library, where the geographic context information library is used to describe a geographic context information set in a vector form, and the geographic context information set is denoted as c= { (C, T) }, C is a geographic context information identifier, and T is a detection type of a military target.
In the above scheme, the fusion judging module further includes a geographic context information judging algorithm library, where the geographic context information judging algorithm library is used for calling an internal interface to judge information in the geographic context information set and form a judging dataset of the geographic context information, the judging dataset of the geographic context information is marked as ca= { (c, name, p, f) }, c is a geographic context information identifier, name is a name of the callable internal interface, p is a parameter list of the callable internal interface, and f is judging result information obtained by judging the geographic context information through the callable internal interface.
In the above scheme, the fusion judgment module further includes a combat rule military semantic library, wherein the combat rule military semantic library describes a combat rule military semantic set in a vector form, the combat rule military semantic set is denoted as r= { (R, q, t) }, R is a combat rule military semantic identifier, q is a name of a military target, and t is a military semantic description of the combat rule of the military target.
In the above scheme, the fusion judging module further includes an association information base of military targets, where the association information base of military targets is used to associate, for each of the military targets, a subset Rs of the military semantic set R of the combat rule and a subset Cs of the associated geographic context information set C, to obtain an association information set, where the association information set is denoted as w= { (lib, code, rs, cs) }.
In the above scheme, the fusion judgment module further includes a logic dependency library of combat rule military semantics and geographic context information, where the logic dependency library of combat rule military semantics and geographic context information is used to form combat rule military semantics identifier r and geographic context information identifier c into a set RC, where the set RC is denoted as rc= { (r, c) }.
In the above scheme, the fusion judgment module further includes a combat rule military semantic and geographic context information logic dependency judgment algorithm library, where the combat rule military semantic and geographic context information logic dependency judgment algorithm library is configured to judge the set RC through the geographic context information judgment algorithm library, and obtain a set RC judgment result and a data set of prompt information, where the set RC judgment result and the data set of prompt information are denoted as ra= { ((r, c), name, p, result, tip) }, where name is a callable internal interface name, p is an interface parameter list, result is a judgment result of the set RC, and tip is prompt information.
The invention provides a military plotting intelligent judgment method integrating context and military semantics, which adopts a military plotting intelligent judgment unit integrating context and military semantics to carry out military plotting judgment, and comprises the following steps:
inputting a military target identifier and a geographic position of the military target;
the method comprises the steps that a military target is subjected to standardized processing by adopting a library number lib of a label library where a military target identifier is located and a code number code in a corresponding label library, so that a standard label E= (lib, code) of the military target is generated;
searching a combat rule military semantic subset Rs and a geographic context information subset Cs which are associated with a standard label E= (lib, code) of the military target from an associated information set W= { (lib, code, rs, cs) } constructed through an associated information base of the military target;
a set S consisting of each geographic context information identifier c in the geographic context information subset Cs associated with the standard label e= (lib, code) of the military target and each combat rule military semantic identifier r in the combat rule military semantic subset Rs;
judging whether each subset in the set S is contained in a logic dependency library of military semantics and geographic context information of the combat rules, and acquiring a military plotting judgment result and a data set of prompt information according to the judgment result.
In the above scheme, the method further comprises:
and outputting the obtained military plotting judgment result and prompt information through a judgment result output module.
In the above scheme, determining whether each subset in the set S is included in the logic dependency library of the military semantics and the geographic context information of the combat rule, and obtaining the data set of the military plot determination result and the prompt information according to the determination result includes:
when each subset in the judging set S is not contained in the logic dependency library of the combat rule military semantics and the geographic context information, sending judging failure information to the judging result output module;
when each subset in the judging set S is contained in the logic dependency library of the combat rule military semantics and the geographic context information, the geographic context information is judged by calling an internal interface through a geographic context information judging algorithm library, and a judging result r0 is obtained;
information in an interface parameter list p is set based on a judging result r0 through a combat rule military semantics and geographic context information logic dependency judging algorithm library, and an internal interface is called to judge the set S, so that a judging result and a prompt message tip are obtained;
and forming a data set of military plotting judgment results and prompt information through the judgment results result and the prompt information tip.
The embodiment of the invention has the following advantages:
the military plotting intelligent judging unit and the method for merging the context and the military semantics, which are provided by the embodiment of the invention, can realize reasonable diagnosis of military plotting operation and can also be applied to detection of abnormal events of battlefield situations by carrying out military plotting judgment on the military semantics of the operational rules of merging the geographic context information and the weaponry, thereby improving the cognition level of the battlefield situations and having good military application prospect.
Drawings
FIG. 1 is a schematic diagram of the composition of a context and military semantic converged military plot intelligent judgment unit of the present invention.
FIG. 2 is a schematic diagram of the components of the fusion judgment module of the present invention.
FIG. 3 is a step diagram of a context and military semantic converged military plot intelligent judgment method of the present invention.
FIG. 4 is a flow chart of a method for intelligent evaluation of military plots with context and military semantics fused in accordance with the present invention.
FIG. 5 is a step diagram of the present invention for obtaining a data set of military plot decision results and hint information based on the decision results.
FIG. 6 is a graph of grade detection hint information effect in one embodiment of the present invention.
Fig. 7 is a diagram showing the effect of water detection prompt information in another embodiment of the present invention.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1, the present invention provides a military plotting intelligent judgment unit integrating context and military semantics, comprising:
the plotting information input module is used for inputting a military target identifier and the geographic position of the military target, wherein the military target comprises weapon equipment and the like, and the geographic position of the military target comprises longitude, latitude, altitude and the like of the military target;
the standardized conversion module is used for carrying out standardized processing on the military target by adopting a library number lib of a label library where the military target identification is positioned and a code number code in a corresponding label library to generate a standard label E= (lib, code) of the military target, for example, the standard label of a Z-type armored car is (10, 340), wherein 10 is the library number and 340 is the code number; the standard reference number of the Y-shaped armed helicopter is (10, 350), wherein 10 is the base number and 350 is the code number.
The fusion judging module is used for inquiring the combat rule military semantic subset Rs and the geographic context information subset Cs related to the standard label according to the standard label E= (lib, code) of the military target generated by the standardized conversion module, carrying out logic dependency detection on a set formed by each geographic context information identifier c in the related geographic context information subset Cs and each combat rule military semantic identifier r in the combat rule military semantic subset Rs, and acquiring a military plotting judging result and a data set of prompt information according to a logic dependency detection result;
and the judgment result output module is used for outputting the military plotting judgment result and the prompt information acquired by the fusion judgment module.
As shown in fig. 2, the fusion judgment module includes a geographic context information base, a geographic context information judgment algorithm base, a combat rule military semantic base, a military target association information base, a combat rule military semantic and geographic context information logic dependency base, and a combat rule military semantic and geographic context information logic dependency judgment algorithm base, which provides a basis for rationality diagnosis of military plotting by associating combat rule military semantic of the military target with geographic context information of the military target.
The geographic context information base is used for describing a geographic context information set in a vector form, wherein the geographic context information set is marked as C= { (C, T) }, C is the identification of geographic context information, T is the detection type of military targets, for example, the information of Z-shaped armored vehicles in the geographic context information base is marked as '002', 'gradient detection', and the information of Y-shaped armed helicopters in the geographic context information base is marked as '004', 'water area detection').
The geographic context information judging algorithm library is used for calling an internal interface to judge information in the geographic context information set and form a judging data set of the geographic context information, wherein the judging data set of the geographic context information is marked as CA= { (c, name, p, f) }, c is a geographic context information identifier, name is a callable internal interface name, p is a parameter list of the callable internal interface, and f is judging result information obtained by judging the geographic context information through the callable internal interface.
In this embodiment, the information of the Z-type armored car is identified as 002 in the geographic context information determination algorithm library, the name of the callable internal interface is "gradient detection", the parameters in the parameter list of the callable internal interface include longitude, latitude and altitude of the Z-type armored car, the gradient value of the geographic position of the Z-type armored car is calculated by calling the gradient calculation function provided by the GIS through the callable internal interface "gradient detection", and the gradient value of the geographic position of the Z-type armored car is used as the determination result information.
In this embodiment, the geographical context information of the Y-shaped armed helicopter in the geographical context information determination algorithm library is identified as 004, the name of the callable internal interface is called as "water area detection", the parameters in the parameter list of the callable internal interface include longitude, latitude and altitude where the Y-shaped armed helicopter is located, the geometric position relationship determination algorithm of points and polygons in the GIS is called by the callable internal interface "water area detection", whether the Y-shaped armed helicopter is within the contour line range of the geographic elements such as lakes and the like is detected, and when the Y-shaped armed helicopter is within the contour line range of the geographic elements such as lakes and the like, "in water area" is used as determination result information.
The combat rule military semantic library describes a combat rule military semantic set in a vector form, wherein the combat rule military semantic set is marked as R= { (R, q, t) }, R is combat rule military semantic identification, q is the name of a military target, t is the military semantic description of the combat rule of the military target, for example, the information of a Z-shaped armored car in the combat rule military semantic library is '001', 'Z-shaped armored car', 'maximum climbing gradient is 25 degrees'), and the military semantic description of the combat rule of the military target is as follows: "maximum hill climbing gradient is 25 degrees"; the information of the Y-shaped armed helicopter in the combat rule military semantic library is ('003', 'Y-shaped armed helicopter', 'without water floating capacity'), wherein the military semantics of the military target combat rule are described as: "does not possess water floating ability".
The association information base of the military targets is used for associating a subset Rs in a combat rule military semantic set R and a subset Cs in an associated geographic context information set C for each military target with a standard label e= (lib, code) to obtain an association information set, wherein the association information set is marked as w= { (lib, code, rs, cs) }.
The logic dependency library of the combat rule military semantics and the geographic context information is used for forming a set RC from combat rule military semantics identifiers r and geographic context information identifiers c, wherein the set RC is expressed as RC= { (r, c) }, and the logic dependency library of the combat rule military semantics and the geographic context information is mainly used for establishing the dependency relationship of the combat rule military semantics and the geographic context information.
The combat rule military semantics and the geographic context information logic dependency judgment algorithm library is used for judging the set RC through the geographic context information judgment algorithm library and obtaining a set RC judgment result and a data set of prompt information, wherein the set RC judgment result and the data set of the prompt information are recorded as RA= { ((r, c), name, p, result, tip) }, name is a callable internal interface name, p is an interface parameter list, result is a judgment result of the set RC, and tip is the prompt information.
In this embodiment, in the rule of war military semantics and the logic dependency determination algorithm library of geographical context information, the information of the Z-type armored car is as follows: ("(001, 002)", "Z-type armored car+gradient detection", "gradient value: 38 degrees", false "," gradient value: 38 degrees, violation of the maximum gradient of Z-type armored car 25 degrees "), wherein 001 is the combat rule military semantic identification of Z-type armored car, 002 is the geographic context information identification of Z-type armored car," Z-type armored car+gradient detection "is the callable internal interface name, false is the determination result of (001, 002)," gradient value: 38 degrees "from the results obtained by the corresponding geographic context information decision algorithm library, the program is internally positioned to the callable internal interface" Z-type armored car+gradient detection ", according to the incoming parameters: slope value: 38, internal inspection of the military semantics of the rules of operation of Z-armoured vehicles: the maximum climbing gradient is 25 degrees, the rule is violated, false is returned, and the prompt information is' gradient value: 38 degrees against the maximum grade of 25 degrees for a Z-type armored car.
In this embodiment, in the rule of war military semantics and the logic dependency determination algorithm library of geographic context information, the Y-shaped armed helicopter is as follows: ("(003, 004)", "Y-shaped armed helicopter+water area detection", "in water area", false "," in water area, violation of the rule of capability of docking on water for Y-shaped armed helicopter ", wherein 003 is the military semantic identifier of the rule of operation for Y-shaped armed helicopter, 004 is the geographic context information identifier of Y-shaped armed helicopter," Y-shaped armed helicopter+water area detection "is the callable internal interface name, false is the determination result of (003, 004)", "in water area" is derived from the result obtained by the corresponding geographic context information determination algorithm library, and the program is internally positioned to the callable internal interface "Y-shaped armed helicopter+water area detection", according to the input parameters: in water area, the military semantics of the combat rules of the Y-shaped armed helicopter are checked internally: the helicopter does not have the capability of floating on water, returns False against the rule, and prompts information to be 'in water, against the Y-shaped armed helicopter does not have the capability of stopping on water'.
As shown in fig. 3 and fig. 4, the method for evaluating military plots by fusing context and military semantics provided by the invention adopts the military plot intelligent evaluating unit fusing context and military semantics to evaluate military plots, and comprises the following steps:
step S1: inputting a military target identifier and a geographic position of the military target, wherein the geographic position of the military target comprises longitude, latitude, altitude and the like of the military target;
step S2: the method comprises the steps that a military target is subjected to standardized processing by adopting a library number lib of a label library where a military target identifier is located and a code number code in a corresponding label library, so that a standard label E= (lib, code) of the military target is generated;
step S3: searching a combat rule military semantic subset Rs and a geographic context information subset Cs which are associated with a standard label E= (lib, code) of the military target from an associated information set W= { (lib, code, rs, cs) } constructed through an associated information base of the military target;
step S4: a set s= { (r, c) } of each geographic context information identifier c in the geographic context information subset Cs and each combat rule military semantic identifier r in the combat rule military semantic subset Rs associated with the standard label e= (lib, code) of the military target;
step S5: judging whether each subset in the set S is contained in a logic dependency library of military semantics and geographic context information of the combat rules, and acquiring a military plotting judgment result and a data set of prompt information according to the judgment result;
step S6: and outputting the obtained military plotting judgment result and prompt information through a judgment result output module.
As shown in fig. 5, step S5 includes:
step S51: when each subset in the judging set S is not contained in the logic dependency library of the combat rule military semantics and the geographic context information, sending judging failure information to the judging result output module;
step S52: when each subset in the judging set S is contained in the logic dependency library of the combat rule military semantics and the geographic context information, the geographic context information is judged by calling an internal interface through a geographic context information judging algorithm library, and a judging result r0 is obtained;
step S53: information in an interface parameter list p is set based on a judging result r0 through a combat rule military semantics and geographic context information logic dependency judging algorithm library, and an internal interface is called to judge the set S, so that a judging result and a prompt message tip are obtained;
step S54: and forming a data set of military plotting judgment results and prompt information through the judgment results result and the prompt information tip.
As shown in fig. 6, in one embodiment of the present invention, the background map uses remote sensing images and elevations, and the acquired standard labels (10, 340) of the Z-type armored vehicles and the geographic positions (112.04 °,38.9203 °) of the Z-type armored vehicles are input into the military plotting intelligent judging unit integrating the context and the military semantics of the present invention, and the output information is: ("(001, 002)", "Z-type armored car+gradient detection", "gradient value: 32.72 degrees", false "," gradient value: 32.72 degrees, violation of maximum gradient 25 degrees of Z-type armored car "), the label in the figure is in the selected state, gradient detection is not passed.
As shown in fig. 7, in another embodiment of the present invention, the background map uses vector data to input the obtained standard labels (10, 350) of the Y-shaped armed helicopter and the geographic position (113.535 °, 30.7579 °) of the Y-shaped armed helicopter into the military plotting intelligent judging unit integrating the context and the military semantics of the present invention, and the output information is: ("(003,004)", "Y-type armed helicopter+water area detection", "in water area", false "," in water area ", violation of the rule of the ability of the Y-type armed helicopter to dock on water", the anchor point in the figure is at the bottom of the mark and the water area detection is not passed.
In the invention, the military plotting intelligent judging unit integrating the context and the military semantics is packaged into the military plotting intelligent diagnosis plug-in based on the plug-in+microkernel technology, can be integrated with various external military service systems, is convenient for the call of various service systems through standard secondary development interfaces, and adds new capabilities of intelligent diagnosis, anomaly detection and the like of military plotting, battlefield situations and the like to various service systems.
It should be noted that the foregoing detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is intended to include the plural unless the context clearly indicates otherwise. Furthermore, it will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components, and/or groups thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways, such as rotated 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, like numerals typically identify like components unless context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A military plotting intelligent judgment unit integrating context and military semantics, the unit comprising:
the plotting information input module is used for inputting military target identification and the geographic position of the military target;
the standardized conversion module is used for carrying out standardized processing on the military target by adopting a library number lib of a label library where the military target identification is positioned and a code number code in a corresponding label library to generate a standard label E= (lib, code) of the military target;
the fusion judging module is used for inquiring the combat rule military semantic subset Rs and the geographic context information subset Cs related to the standard label according to the standard label E= (lib, code) of the military target generated by the standardized conversion module, carrying out logic dependency detection on a set formed by each geographic context information identifier c in the related geographic context information subset Cs and each combat rule military semantic identifier r in the combat rule military semantic subset Rs, and acquiring a military plotting judging result and a data set of prompt information according to a logic dependency detection result;
and the judgment result output module is used for outputting the military plotting judgment result and the prompt information acquired by the fusion judgment module.
2. The intelligent evaluation unit for military plots incorporating context and military semantics according to claim 1, wherein the fusion evaluation module comprises a geographic context information base for describing a set of geographic context information in a vector form, wherein the set of geographic context information is denoted as c= { (C, T) }, C is a geographic context information identification, and T is a detection type of a military target.
3. The intelligent evaluation unit for military plots integrating context and military semantics according to claim 2, wherein the integration evaluation module further comprises a geographic context information determination algorithm library, the geographic context information determination algorithm library is used for calling an internal interface to determine information in the geographic context information set and forming a determination dataset of the geographic context information, wherein the determination dataset of the geographic context information is denoted as ca= { (c, name, p, f) }, c is a geographic context information identifier, name is a name of the callable internal interface, p is a parameter list of the callable internal interface, and f is determination result information obtained by determining the geographic context information through the callable internal interface.
4. The intelligent evaluation unit for military plots integrating context and military semantics according to claim 3, wherein the integration evaluation module further comprises a combat rule military semantics library, wherein the combat rule military semantics library describes combat rule military semantics sets in a vector form, wherein the combat rule military semantics sets are denoted as r= { (R, q, t) }, R is a combat rule military semantics identifier, q is a name of a military target, and t is a military semantics description of a combat rule of the military target.
5. The intelligent evaluation unit for military plots integrating context and military semantics according to claim 4, wherein the integration evaluation module further comprises an association information base of military targets, the association information base of military targets is used for associating a subset Rs in a combat rule military semantic set R and a subset Cs in an associated geographic context information set C for each military target corresponding to a standard label e= (lib, code), and an association information set is obtained, wherein the association information set is marked as w= { (lib, code, rs, cs) }.
6. The intelligent evaluation unit for military plots incorporating context and military semantics according to claim 5, wherein the fusion evaluation module further comprises a logical dependency library of combat rule military semantics and geographic context information for composing combat rule military semantic identifications r and geographic context information identifications c into a set RC, wherein set RC is denoted as rc= { (r, c) }.
7. The intelligent evaluation unit for military plotting integrating context and military semantics according to claim 6, wherein the integrated evaluation module further comprises a combat rule military semantics and geographic context information logic dependency determination algorithm library, the combat rule military semantics and geographic context information logic dependency determination algorithm library is used for determining the set RC through the geographic context information determination algorithm library, and acquiring a data set of the set RC determination result and the prompt information, wherein the data set of the set RC determination result and the prompt information is denoted as ra= { ((r, c), name, p, result, tip) }, name is a callable internal interface name, p is an interface parameter list, result is a determination result of the set RC, and tip is the prompt information.
8. A military plot intelligent evaluation method integrating context and military semantics, which adopts the military plot intelligent evaluation unit integrating context and military semantics as set forth in any one of claims 1-7 to perform military plot evaluation, characterized in that the method comprises:
inputting a military target identifier and a geographic position of the military target;
the method comprises the steps that a military target is subjected to standardized processing by adopting a library number lib of a label library where a military target identifier is located and a code number code in a corresponding label library, so that a standard label E= (lib, code) of the military target is generated;
searching a combat rule military semantic subset Rs and a geographic context information subset Cs which are associated with a standard label E= (lib, code) of the military target from an associated information set W= { (lib, code, rs, cs) } constructed through an associated information base of the military target;
a set S consisting of each geographic context information identifier c in the geographic context information subset Cs associated with the standard label e= (lib, code) of the military target and each combat rule military semantic identifier r in the combat rule military semantic subset Rs;
judging whether each subset in the set S is contained in a logic dependency library of military semantics and geographic context information of the combat rules, and acquiring a military plotting judgment result and a data set of prompt information according to the judgment result.
9. The method for intelligent evaluation of military plots incorporating context and military semantics of claim 8, further comprising:
and outputting the obtained military plotting judgment result and prompt information through a judgment result output module.
10. The method for intelligent evaluation of military plots incorporating context and military semantics according to claim 9, wherein determining whether each subset in set S is contained in a logically dependent library of the combat rule military semantics and geographic context information, and obtaining a data set of military plot determination results and hint information based on the determination results comprises:
when each subset in the judging set S is not contained in the logic dependency library of the combat rule military semantics and the geographic context information, sending judging failure information to the judging result output module;
when each subset in the judging set S is contained in the logic dependency library of the combat rule military semantics and the geographic context information, the geographic context information is judged by calling an internal interface through a geographic context information judging algorithm library, and a judging result r0 is obtained;
information in an interface parameter list p is set based on a judging result r0 through a combat rule military semantics and geographic context information logic dependency judging algorithm library, and an internal interface is called to judge the set S, so that a judging result and a prompt message tip are obtained;
and forming a data set of military plotting judgment results and prompt information through the judgment results result and the prompt information tip.
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