CN112597648B - Simulation design generation method based on 'general magic' recognition model and storage medium - Google Patents
Simulation design generation method based on 'general magic' recognition model and storage medium Download PDFInfo
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- G06F30/00—Computer-aided design [CAD]
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- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
- G06F3/04883—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
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Abstract
A simulation thinking generating method based on a 'general magic' recognition model and a storage medium thereof, wherein the method comprises the following steps: establishing mapping relations between various armmarks and simulation elements in an armmark library; identifying the army mark plotting graphic information by using a 'universal magic' identification model; and selecting a target army mark graph from the army mark library according to the identification result, and adding corresponding wanted element information into the wanted script according to the mapping relation between the target army mark graph and the wanted element to form a simulation wanted script which can be loaded and operated by a simulation engine. The invention organically combines the artificial intelligence technology with the plotting technology in the military simulation system, thereby realizing quick and automatic generation of the simulation wanted script according to the existing situation plotting, ensuring the accuracy of generating the simulation wanted script, and providing a way for accurately and quickly converting the expression and plotting of the combat situation into the wanted script which can be identified by the simulation system for users.
Description
Technical Field
The invention relates to the field of simulation, in particular to a simulation thinking generation method and a storage medium for recognizing armies based on a 'general magic' recognition model and performing quick matching and converting to generate a thinking script.
Background
With the rapid progress of computer software and hardware technology, the requirements of fighters on the cognition of battlefield environments are continuously improved, and the visual realization of battlefield environments starts to change from simulation (paper map, sand table model, remote sensing image) to digital (electronic map), plane to three-dimensional and static to dynamic, so that various military elements related to fight are displayed in a visual way for fighters to carry out fight planning, command decision and fight training close to the real environment. The most important step in the visualization of the battlefield environment is the visualization of the terrain, and the visual display of the battlefield situation is realized by carrying out corresponding plotting on the terrain, which is called plotting.
The plotting is usually used for assisting commanders to make a combat plan and form combat decisions, so that the battlefield situation is more visual and image, the visual effect of the battlefield environment is enhanced, battlefield information can be enriched, and the efficiency of battlefield cognition is improved. However, the plot is built to generate a simulated script, so that the combat process can be deduced through the script, and the combat process can be changed from static to dynamic. The traditional mode is that personnel desiring to customize presume the force deployment and the combat intention of participating in the simulation according to the situation map plotted by the commander, and then the force deployment and the combat intention are translated into an executable wanted script through manual operation so as to be loaded and deducted by a simulation system to generate a dynamic simulation situation. The process introduces some uncertainty due to human participation, has low manual operation efficiency, requires a large number of repeated operations when a large scene is supposed to be manufactured, and is more prone to errors.
In the plotting system, each army mark has a specific meaning, and can be conveniently read. If military meanings behind various plots can be identified, the plotted icons can be identified by utilizing a rapidly-developed artificial intelligence technology, a solid model is established according to simulation data, and a rule is established to translate the solid model into a corresponding wanted script, so that automation can be realized in the process of generating the simulated wanted script according to the plots. The generation of the expected script realized through the program control has high controllability and low error rate compared with manual operation.
In order to program a computer program simulating human image recognition activities, different image recognition models have been proposed, including pattern recognition and prototype matching models, etc. The pattern recognition is a process for automatically completing recognition and evaluation of shapes, patterns, curves, numbers, character formats and figures by using a computer and a mathematical reasoning method based on expert experience and existing knowledge from a large amount of information and data. However, such models emphasize that the image must be fully consistent with the template in the brain to be identified, and in fact a person can identify not only images that are fully consistent with the template in the brain, but also images that are not fully consistent with the template. In order to solve the problem of the template matching model, the format tower psychologist also proposes a prototype matching model. Such models consider that stored in long-term memory are not a myriad of templates to be identified, but rather some "similarity" of images. The "similarity" abstracted from the image can be used as a prototype to examine the image to be identified. However, this model does not explain how a person distinguishes and processes similar stimuli, and it is also difficult to implement in a computer program. Therefore, a more complex model, namely a 'magic model' recognition model, has been proposed. The target object is identified by four-level analysis of image ghost, feature ghost, cognitive ghost and decision ghost.
The situation plotting system is an important basis for assisting commanders in understanding battlefield situations, drawing up a battle plan and making decisions. With the rapid development of technologies and equipment such as virtual battlefield environment construction, information visualization, large-screen demonstration systems and the like, various battlefield situation information comprehensive display and perception controls are widely studied and applied.
Therefore, how to use artificial intelligence technology to better identify images, automatically generate a plot in the middle of the design and form a corresponding script becomes a technical problem to be solved in the prior art.
Disclosure of Invention
The invention aims to provide a simulation design generation method based on a 'universal magic' recognition model and a storage medium. The method comprises the steps of selecting a proper army mark from an army mark library through a 'universal magic' recognition model, matching the army mark with a plot in a GIS system, and automatically generating a corresponding wanted script according to the mapping relation between the army mark and wanted elements after the matching is successful.
To achieve the purpose, the invention adopts the following technical scheme:
a simulation thinking generation method based on a 'general magic' recognition model is characterized by comprising the following steps:
the mapping relation establishment step S110:
establishing mapping relations between various armmarks and simulation elements in an armmark library;
pattern information recognition step S120:
identifying the army mark plotting graphic information by using a 'universal magic' identification model;
the scenario creation step S130:
and selecting a target army mark graph from the army mark library according to the identification result, and adding corresponding wanted element information into the wanted script according to the mapping relation between the target army mark graph and the wanted element to form a simulation wanted script which can be loaded and operated by a simulation engine.
Optionally, in the graphic information recognition step S120:
the user draws the plotting information to be expressed on the handwriting board, transmits the graphical information drawn by the user on the handwriting board through connection, receives the transmitted army mark plotting graphical information, and recognizes the army mark plotting graphical information handwritten in the handwriting board by using a 'magic character' recognition model.
Optionally, the simulation scenario includes, but is not limited to: maintaining different types of force deployments, the direction of action of each military weapon, one or more of the combat units of each different army.
The present invention further discloses a storage medium for storing computer executable instructions, characterized in that:
the computer executable instructions, when executed by the processor, perform the above-described method of simulated design generation based on a "generalized magic" recognition model.
Therefore, the invention has the following characteristics:
1. and establishing the mapping relation between the army marks and the simulation wanted elements in the army mark library.
2. Combining the artificial intelligence technology with a situation plotting technology, and using a 'general magic' recognition model to perform feature recognition on armies in the situation plotting, and matching the armies with corresponding armies in an army library;
3. and automatically creating a desired script according to the mapping relation between the army mark and the simulation desired element, and adding the desired element to form the simulation desired script which can be loaded and operated by the simulation engine.
Drawings
Fig. 1 is a flow chart of a method for generating a simulated design based on a "generalized magic" recognition model according to a specific embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
The general magic recognition model is used for recognizing a target object through four-level analysis of image ghost, characteristic ghost, cognitive ghost and decision ghost.
The pattern information is identified by using a 'universal magic' identification model, and the implementation process is as follows:
a. recording the original image by the "image ghost", just like the retina to obtain an image of the external stimulus, for example, when identifying the letter R, the "image ghost" encodes R first;
b. this image recorded by the "image ghost" is further analyzed by the "feature ghost" during which each feature ghost seeks its own image features. For example, when identifying english letters, each feature ghost is responsible for reporting a feature of the letter and its number, such as vertical line, horizontal line, oblique line, right angle, acute angle, discontinuous curve, continuous curve, etc.; at this time, there are 5 "feature ghosts" reporting a vertical line, two horizontal lines, a diagonal line, 3 right angles, and a discontinuous curve included in the image, respectively.
c. Receiving the reaction of characteristic ghosts by 'cognitive ghosts', each cognitive ghosts searching for characteristics related to images responsible for identification from the reaction of the characteristic ghosts, and when the characteristics are found, the more the 'crying' sound is; in the case of identifying the letter R, many "cognitive ghosts" identify whether or not they are responsible for themselves based on these characteristics and their number reported. At this time, the D, P, R ghost reacts, but only 4 features of the P ghost are matched with the P ghost, and one feature (oblique line) is not matched with the P ghost; only 3 features of the D ghost are in line with the D ghost, and two features (oblique lines and right angles) are not in line with the D ghost; only the R ghost has 5 features that match it, and these 5 features in turn include all of the features of R, so the shouting of R ghost is greatest.
The "decision-making ghost" selects the response of the "cognitive ghost" with the greatest shouting sound as the image to be identified according to the magnitude of a plurality of "cognitive ghost" sounds. In step c, the shouting of R ghost is greatest, so the decision of R is easily made by the "decision ghost".
The invention is characterized in that: after the 'universal magic' recognition model is used for carrying out artificial intelligence method recognition through the existing plotting, the vector graphics of the standard army mark are automatically matched, and a wanted script can be automatically generated according to the mapping relation between the standard army mark and wanted elements. The invention organically combines the artificial intelligence technology with the plotting technology in the military simulation system, thereby realizing quick and automatic generation of the simulation wanted script according to the existing situation plotting, ensuring the accuracy of generating the simulation wanted script, and providing a way for accurately and quickly converting the expression and plotting of the combat situation into the wanted script which can be identified by the simulation system for users.
Referring to fig. 1, a flowchart of a simulation design generating method based on a "generalized magic" recognition model according to a specific embodiment of the present invention is shown, and specifically includes the following steps:
the mapping relation establishment step S110:
establishing mapping relations between various armmarks and simulation elements in an armmark library;
pattern information recognition step S120:
identifying the army mark plotting graphic information by using a 'universal magic' identification model;
the scenario creation step S130:
and selecting a target army mark graph from the army mark library according to the identification result, and adding corresponding wanted element information into the wanted script according to the mapping relation between the target army mark graph and the wanted element to form a simulation wanted script which can be loaded and operated by a simulation engine.
Specifically, in the pattern information recognition step S120:
the user draws the plotting information to be expressed on the handwriting board, transmits the graphical information drawn by the user on the handwriting board through connection, receives the transmitted army mark plotting graphical information, and recognizes the army mark plotting graphical information handwritten in the handwriting board by using a 'magic character' recognition model.
The simulation scenario includes, but is not limited to: maintaining different types of force deployments, the direction of action of each military weapon, one or more of the combat units of each different army.
The present invention further discloses a storage medium for storing computer executable instructions, characterized in that:
the computer executable instructions, when executed by the processor, perform the above-described method of simulated design generation based on a "generalized magic" recognition model.
Therefore, the invention has the following characteristics:
1. and establishing the mapping relation between the army marks and the simulation wanted elements in the army mark library.
2. Combining the artificial intelligence technology with a situation plotting technology, and using a 'general magic' recognition model to perform feature recognition on armies in the situation plotting, and matching the armies with corresponding armies in an army library;
3. and automatically creating a desired script according to the mapping relation between the army mark and the simulation desired element, and adding the desired element to form the simulation desired script which can be loaded and operated by the simulation engine.
It will be apparent to those skilled in the art that the elements or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or they may alternatively be implemented in program code executable by a computer device, such that they may be stored in a storage device for execution by the computing device, or they may be separately fabricated into individual integrated circuit modules, or a plurality of modules or steps in them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
While the invention has been described in detail in connection with specific preferred embodiments thereof, it is not to be construed as limited thereto, but rather as a result of a simple deduction or substitution by a person having ordinary skill in the art without departing from the spirit of the invention, which is to be construed as falling within the scope of the invention defined by the appended claims.
Claims (2)
1. A simulation thinking generation method based on a 'general magic' recognition model is characterized by comprising the following steps:
the mapping relation establishment step S110:
establishing mapping relations between various armmarks and simulation elements in an armmark library;
pattern information recognition step S120:
identifying the plotted graphic information of the army mark by using a 'magic character' identification model, specifically, drawing the plotted information to be expressed on a handwriting board by a user, transmitting the graphic information drawn by the user on the handwriting board through connection, receiving the transmitted plotted graphic information of the army mark, and identifying the plotted graphic information of the army mark handwritten in the handwriting board by using the 'magic character' identification model;
the scenario creation step S130:
according to the result of recognition, selecting a target army mark graph from an army mark library, adding corresponding wanted element information into wanted scripts according to the mapping relation between the target army mark graph and wanted elements to form simulation wanted scripts which can be loaded and operated by a simulation engine, wherein the simulation wanted scripts comprise: maintaining different types of weapons deployment, the direction of action of each army, one or more of the combat units of each different army;
the method realizes the selection of proper army marks from the army mark library through a 'general magic' recognition model, matches the army marks with plots in a GIS system, and automatically generates corresponding wanted scripts according to the mapping relation between the army marks and wanted elements after the matching is successful.
2. A storage medium storing computer-executable instructions, characterized by:
the computer-executable instructions, when executed by a processor, perform the "generalized magic" recognition model-based simulation design generation method of claim 1.
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| CN114442874B (en) * | 2021-12-02 | 2024-06-04 | 北京电子工程总体研究所 | Element display method, element display component and computer readable storage medium |
| CN116136873B (en) * | 2023-04-04 | 2023-06-23 | 中国电子科技集团公司第十五研究所 | Intelligent evaluation device and method for military plotting integrating context and military semantics |
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