Complex battlefield situation analysis method, system and medium based on large model technology

Abstract

The embodiment of the present application provides a complex battlefield situation analysis method, system and medium based on large model technology, the method comprising: acquiring battlefield remote sensing images based on remote sensing technology, preprocessing the battlefield remote sensing images, and obtaining processing results; marking the combat environment and combat elements based on the processing results to obtain marking information; analyzing the dynamic data of combat elements based on the effectiveness of different combat elements, and analyzing the battlefield situation information according to the dynamic data; dynamically adjusting the marking information based on the battlefield situation information; analyzing the battlefield situation based on the large model, generating situation deduction information, and assisting in adjusting the combat strategy based on the situation deduction information; analyzing the battlefield environment through remote sensing technology, so as to accurately mark the combat elements, and in the process of battlefield situation analysis, accurately analyzing the battlefield situation by analyzing the dynamic data of the combat elements, so as to deduce the battlefield situation changes, and provide an effective basis for adjusting the combat strategy.

Description

Technical Field

[0001] The present application relates to the field of battlefield analysis technology, and in particular to a complex battlefield situation analysis method, system and medium based on large model technology. Background Art

[0002] A large number of high-tech technologies have been used in modern warfare, which has brought about major changes in strategic thinking, combat modes, organizational systems, and weapons and equipment, exacerbating the complexity of modern warfare and promoting the comprehensive development of data fusion technology. Battlefield situation target recognition and situation intention prediction are important components of data fusion in the military field. By fusing the recognition data in reconnaissance and detection information, the battlefield target recognition results and their credibility are obtained. Then, the current battlefield situation and threat level are comprehensively evaluated through reconnaissance, detection information and battlefield target recognition results to obtain an overall perception of the battlefield situation, which has become an important military means to defeat the enemy. Therefore, the research is of great significance. The existing battlefield situation analysis methods cannot accurately analyze the battlefield environment based on remote sensing technology, and cannot accurately detect the changing state of combat element annotations during combat, so they cannot deduce the battlefield situation and cannot effectively adjust the combat strategy, which is easy to delay the combat opportunity. For the above problems, effective technical solutions are urgently needed. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a complex battlefield situation analysis method, system and medium based on large model technology, which analyzes the battlefield environment through remote sensing technology to accurately mark combat elements. In the process of battlefield situation analysis, the battlefield situation is accurately analyzed by analyzing the dynamic data of combat elements, thereby deducing changes in the battlefield situation and providing an effective basis for adjusting combat strategies.

[0004] The present application embodiment also provides a complex battlefield situation analysis method based on large model technology, including:

[0005] Acquire battlefield remote sensing images based on remote sensing technology, pre-process the battlefield remote sensing images, and obtain processing results;

[0006] Annotate the combat environment and combat elements based on the processing results to obtain annotation information;

[0007] Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on the dynamic data;

[0008] Dynamically adjust the annotation information based on battlefield situation information;

[0009] Analyze the battlefield situation based on the big model, generate situation deduction information, and make auxiliary adjustments to the combat strategy based on the situation deduction information.

[0010] Optionally, in the complex battlefield situation analysis method based on the large model technology described in the embodiment of the present application, battlefield remote sensing images are acquired based on remote sensing technology, and the battlefield remote sensing images are preprocessed to obtain processing results, which specifically includes:

[0011] Acquire battlefield remote sensing images, segment the remote sensing images, and generate several sub-images;

[0012] Analyze the gray value of each pixel of several sub-images in parallel;

[0013] Determine whether the grayscale value meets the requirement;

[0014] If the requirements are met, several sub-images are fused and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image;

[0015] If the requirements are not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

[0016] Optionally, in the complex battlefield situation analysis method based on the large model technology described in the embodiment of the present application, the combat environment and combat elements are annotated based on the processing results to obtain the annotated information, which specifically includes:

[0017] Acquire processing results, obtain a preprocessed enhanced remote sensing image based on the processing results, and extract image features of the enhanced remote sensing image;

[0018] Compare the image features with the set background features to obtain feature similarity;

[0019] Based on feature similarity, the background features and battlefield environment features in the remote sensing features are classified to screen out battlefield environment features;

[0020] The battlefield landforms, combat elements and battlefield terrain are analyzed based on the characteristics of the battlefield environment, and the combat elements are marked according to the analysis results to generate marking information.

[0021] Optionally, in the complex battlefield situation analysis method based on the large model technology described in the embodiment of the present application, the dynamic data of the combat elements are analyzed based on the effectiveness of different combat elements, and the battlefield situation information is analyzed according to the dynamic data, specifically including:

[0022] Match different combat weapons based on different combat elements, including combat arms, combat vehicles, combat boats and combat drones;

[0023] Analyze the power of different combat weapons and evaluate the effectiveness of combat elements based on the power of combat weapons;

[0024] The dynamic data of the battlefield is predicted according to the effectiveness of the combat elements, and the battlefield situation information is obtained based on the change information of the dynamic data of the battlefield.

[0025] Optionally, in the complex battlefield situation analysis method based on the large model technology described in the embodiment of the present application, the annotation information is dynamically adjusted based on the battlefield situation information, specifically including:

[0026] Obtain battlefield situation information at different time nodes, compare battlefield situation information at adjacent time nodes, and obtain situation change rate;

[0027] Determining whether the situation change rate is greater than or equal to a set situation change rate threshold;

[0028] If it is greater than or equal to, the annotation information is roughly adjusted according to the situation change rate;

[0029] If it is less than, the annotation information will be slightly adjusted according to the rate of change of the situation.

[0030] Optionally, in the complex battlefield situation analysis method based on the large model technology described in the embodiment of the present application, the battlefield situation is analyzed based on the large model, the situation deduction information is generated, and the combat strategy is assisted in adjusting based on the situation deduction information, specifically including:

[0031] Obtain historical deduction data and input the historical deduction data into the original model for training;

[0032] If the training results converge, a situation deduction model is generated, and the battlefield situation is deduced based on the situation deduction model to obtain the deduction results, and the combat strategy is adjusted according to the deduction results;

[0033] If the training results do not converge, adjust the parameters of the original model until the model converges.

[0034] In a second aspect, an embodiment of the present application provides a complex battlefield situation analysis system based on a large model technology, the system comprising: a memory and a processor, the memory comprising a program of a complex battlefield situation analysis method based on a large model technology, and the program of the complex battlefield situation analysis method based on a large model technology is executed by the processor to implement the following steps:

[0035] Acquire battlefield remote sensing images based on remote sensing technology, pre-process the battlefield remote sensing images, and obtain processing results;

[0036] Annotate the combat environment and combat elements based on the processing results to obtain annotation information;

[0037] Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on the dynamic data;

[0038] Dynamically adjust the annotation information based on battlefield situation information;

[0039] Analyze the battlefield situation based on the big model, generate situation deduction information, and make auxiliary adjustments to the combat strategy based on the situation deduction information.

[0040] Optionally, in the complex battlefield situation analysis system based on the large model technology described in the embodiment of the present application, battlefield remote sensing images are acquired based on remote sensing technology, and the battlefield remote sensing images are preprocessed to obtain processing results, which specifically includes:

[0041] Acquire battlefield remote sensing images, segment the remote sensing images, and generate several sub-images;

[0042] Analyze the gray value of each pixel of several sub-images in parallel;

[0043] Determine whether the grayscale value meets the requirement;

[0044] If the requirements are met, several sub-images are fused and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image;

[0045] If the requirements are not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

[0046] Optionally, in the complex battlefield situation analysis system based on the large model technology described in the embodiment of the present application, the combat environment and combat elements are annotated based on the processing results to obtain the annotated information, which specifically includes:

[0047] Acquire processing results, obtain a preprocessed enhanced remote sensing image based on the processing results, and extract image features of the enhanced remote sensing image;

[0048] Compare the image features with the set background features to obtain feature similarity;

[0049] Based on feature similarity, the background features and battlefield environment features in the remote sensing features are classified to screen out battlefield environment features;

[0050] The battlefield landforms, combat elements and battlefield terrain are analyzed based on the characteristics of the battlefield environment, and the combat elements are marked according to the analysis results to generate marking information.

[0051] In the third aspect, an embodiment of the present application also provides a computer-readable storage medium, which includes a complex battlefield situation analysis method program based on large model technology. When the complex battlefield situation analysis method program based on large model technology is executed by a processor, the steps of the complex battlefield situation analysis method based on large model technology as described in any one of the above items are implemented.

[0052] As can be seen from the above, the embodiment of the present application provides a complex battlefield situation analysis method, system and medium based on large model technology, which obtains battlefield remote sensing images based on remote sensing technology, pre-processes the battlefield remote sensing images, and obtains processing results; annotates the combat environment and combat elements based on the processing results to obtain annotation information; analyzes the dynamic data of combat elements based on the effectiveness of different combat elements, and analyzes the battlefield situation information according to the dynamic data; dynamically adjusts the annotation information based on the battlefield situation information; analyzes the battlefield situation based on the large model, generates situation deduction information, and assists in adjusting the combat strategy based on the situation deduction information; analyzes the battlefield environment through remote sensing technology, so as to accurately annotate the combat elements, and in the process of battlefield situation analysis, accurately analyzes the battlefield situation by analyzing the dynamic data of combat elements, so as to deduce the changes in the battlefield situation, and provide an effective basis for adjusting the combat strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 A flowchart of a complex battlefield situation analysis method based on large model technology provided in an embodiment of the present application;

[0055] Figure 2 A battlefield remote sensing image preprocessing flow chart of a complex battlefield situation analysis method based on large model technology provided in an embodiment of the present application;

[0056] Figure 3 A flow chart of a method for generating annotation information for a complex battlefield situation analysis method based on large model technology provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0058] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0059] Please refer to Figure 1 , Figure 1 This is a flow chart of a complex battlefield situation analysis method based on large model technology in some embodiments of the present application. The complex battlefield situation analysis method based on large model technology is used in a terminal device, and the complex battlefield situation analysis method based on large model technology includes the following steps:

[0060] S101, acquiring battlefield remote sensing images based on remote sensing technology, preprocessing the battlefield remote sensing images, and obtaining processing results;

[0061] S102, annotating the combat environment and combat elements based on the processing result to obtain annotated information;

[0062] S103, analyzing dynamic data of combat elements based on the effectiveness of different combat elements, and analyzing battlefield situation information based on the dynamic data;

[0063] S104, dynamically adjusting the annotation information based on the battlefield situation information;

[0064] S105, analyzing the battlefield situation based on the large model, generating situation deduction information, and assisting in adjusting the combat strategy based on the situation deduction information.

[0065] It should be noted that through remote sensing technology, accurate analysis of the battlefield environment can be carried out to achieve accurate labeling of combat elements, reduce situation analysis errors, and dynamically adjust the labeling information after the combat elements have an impact on the combat situation and cause changes in the battlefield situation, so as to accurately deduce the battlefield situation and achieve rapid adjustment of combat strategies.

[0066] Please refer to Figure 2 , Figure 2 This is a battlefield remote sensing image preprocessing flow chart of a complex battlefield situation analysis method based on large model technology in some embodiments of the present application. According to an embodiment of the present invention, battlefield remote sensing images are obtained based on remote sensing technology, and battlefield remote sensing images are preprocessed to obtain processing results, specifically including:

[0067] S201, acquiring a battlefield remote sensing image, segmenting the remote sensing image, and generating a plurality of sub-images;

[0068] S202, analyzing the gray value of each pixel of a plurality of sub-images in parallel;

[0069] S203, judging whether the gray value meets the requirement;

[0070] S204, if the requirements are met, a plurality of sub-images are fused, and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image;

[0071] S205: If the requirement is not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

[0072] It should be noted that by dividing the battlefield remote sensing image into several sub-images, parallel and synchronous analysis of multiple sub-images can be achieved, thereby realizing efficient sub-image processing. After the processing is completed, the sub-images are summed again to quickly obtain enhanced remote sensing images. When the battlefield remote sensing image analysis finds that it cannot meet the requirements, the grayscale value of the pixel is dynamically compensated to improve the clarity of the battlefield remote sensing image.

[0073] Please refer to Figure 3 , Figure 3 This is a flow chart of a method for generating annotation information of a complex battlefield situation analysis method based on a large model technology in some embodiments of the present application. According to an embodiment of the present invention, the combat environment and combat elements are annotated based on the processing results to obtain annotation information, which specifically includes:

[0074] S301, obtaining a processing result, obtaining a preprocessed enhanced remote sensing image based on the processing result, and extracting image features of the enhanced remote sensing image;

[0075] S302, comparing the image features with the set background features to obtain feature similarity;

[0076] S303, classifying the background features and battlefield environment features in the remote sensing features based on feature similarity, and screening out the battlefield environment features;

[0077] S304, analyzing battlefield landforms, combat elements and battlefield terrain based on battlefield environmental characteristics, annotating combat elements according to the analysis results, and generating annotation information.

[0078] It should be noted that by analyzing and enhancing remote sensing images, the background features and battlefield environment features in the images are screened, so that the battlefield environment features can be analyzed separately, and the accurate battlefield landforms, terrain and distribution of combat elements can be effectively obtained, so that the combat elements can be accurately marked.

[0079] According to an embodiment of the present invention, the dynamic data of combat elements are analyzed based on the effectiveness of different combat elements, and the battlefield situation information is analyzed according to the dynamic data, which specifically includes:

[0080] Match different combat weapons based on different combat elements, including combat arms, combat vehicles, combat boats and combat drones;

[0081] Analyze the power of different combat weapons and evaluate the effectiveness of combat elements based on the power of combat weapons;

[0082] The dynamic data of the battlefield is predicted according to the effectiveness of the combat elements, and the battlefield situation information is obtained based on the change information of the dynamic data of the battlefield.

[0083] It should be noted that different combat arms and different combat weapons have different powers. By evaluating the power, we can accurately analyze the effectiveness of different combat elements. Effectiveness can be understood as attack capability and the efficiency and ability to complete combat tasks, thereby accurately analyzing and predicting changes in battlefield situation and improving the accuracy of situation analysis.

[0084] According to an embodiment of the present invention, the annotation information is dynamically adjusted based on the battlefield situation information, specifically including:

[0085] Obtain battlefield situation information at different time nodes, compare battlefield situation information at adjacent time nodes, and obtain situation change rate;

[0086] Determine whether the situation change rate is greater than or equal to a set situation change rate threshold;

[0087] If it is greater than or equal to, the annotation information is roughly adjusted according to the situation change rate;

[0088] If it is less than, the annotation information will be slightly adjusted according to the rate of change of the situation.

[0089] It should be noted that by analyzing the changes in battlefield situation information at different time nodes, different adjustments are made according to different change rates. Coarse adjustment means that the annotation information has a large error. At this time, you can choose to re-annotate according to the position changes of the combat elements. Fine adjustment can be understood as a small change in the annotation information. According to the situation change rate, only slight adjustments need to be made to the original annotation information to improve the efficiency of the adjustment.

[0090] According to an embodiment of the present invention, the battlefield situation is analyzed based on a large model, situation deduction information is generated, and auxiliary adjustment of the combat strategy is performed based on the situation deduction information, specifically including:

[0091] Obtain historical deduction data and input the historical deduction data into the original model for training;

[0092] If the training results converge, a situation deduction model is generated, and the battlefield situation is deduced based on the situation deduction model to obtain the deduction results, and the combat strategy is adjusted according to the deduction results;

[0093] If the training results do not converge, adjust the parameters of the original model until the model converges.

[0094] It should be noted that the constructed situation deduction model can be used to deduce the battlefield dynamic data of subsequent operations, thereby effectively formulating new combat strategies and realizing early layout and adjustment of combat strategies.

[0095] According to an embodiment of the present invention, after obtaining battlefield remote sensing images based on remote sensing technology, the method further includes:

[0096] Acquire battlefield remote sensing images and analyze battlefield elements and combat elements in the battlefield environment. Battlefield elements include battlefield building layout, battlefield terrain and topography, and battlefield space distribution. Combat elements include combat arms, combat weapons, and combat space.

[0097] Based on 3D modeling technology, battlefield elements and combat elements are realistically simulated to obtain combat time and space data;

[0098] Input the combat time-space data into the spatial analysis model, and output the dynamic change data of battlefield elements and combat elements;

[0099] Generate battlefield situation information based on dynamically changing data analysis.

[0100] It should be noted that 3D modeling technology can be used to realize visual analysis of the dynamic changes of battlefield elements and combat elements on the battlefield, thereby improving the accuracy of battlefield situation analysis.

[0101] In a second aspect, an embodiment of the present application provides a complex battlefield situation analysis system based on a large model technology, the system comprising: a memory and a processor, the memory comprising a program of a complex battlefield situation analysis method based on a large model technology, and when the program of the complex battlefield situation analysis method based on a large model technology is executed by the processor, the following steps are implemented:

[0102] Acquire battlefield remote sensing images based on remote sensing technology, pre-process the battlefield remote sensing images, and obtain processing results;

[0103] Annotate the combat environment and combat elements based on the processing results to obtain annotation information;

[0104] Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on the dynamic data;

[0105] Dynamically adjust the annotation information based on battlefield situation information;

[0106] Analyze the battlefield situation based on the big model, generate situation deduction information, and make auxiliary adjustments to the combat strategy based on the situation deduction information.

[0107] It should be noted that through remote sensing technology, accurate analysis of the battlefield environment can be carried out to achieve accurate labeling of combat elements, reduce situation analysis errors, and dynamically adjust the labeling information after the combat elements have an impact on the combat situation and cause changes in the battlefield situation, so as to accurately deduce the battlefield situation and achieve rapid adjustment of combat strategies.

[0108] According to an embodiment of the present invention, battlefield remote sensing images are acquired based on remote sensing technology, and the battlefield remote sensing images are preprocessed to obtain processing results, which specifically includes:

[0109] Acquire battlefield remote sensing images, segment the remote sensing images, and generate several sub-images;

[0110] Analyze the gray value of each pixel of several sub-images in parallel;

[0111] Determine whether the gray value meets the requirements;

[0112] If the requirements are met, several sub-images are fused and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image;

[0113] If the requirements are not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

[0114] It should be noted that by dividing the battlefield remote sensing image into several sub-images, parallel and synchronous analysis of multiple sub-images can be achieved, thereby realizing efficient sub-image processing. After the processing is completed, the sub-images are summed again to quickly obtain enhanced remote sensing images. When the battlefield remote sensing image analysis finds that it cannot meet the requirements, the grayscale value of the pixel is dynamically compensated to improve the clarity of the battlefield remote sensing image.

[0115] According to an embodiment of the present invention, the combat environment and the combat elements are annotated based on the processing results to obtain the annotated information, which specifically includes:

[0116] Acquire processing results, obtain a preprocessed enhanced remote sensing image based on the processing results, and extract image features of the enhanced remote sensing image;

[0117] Compare the image features with the set background features to obtain feature similarity;

[0118] Based on feature similarity, the background features and battlefield environment features in the remote sensing features are classified to screen out battlefield environment features;

[0119] The battlefield landforms, combat elements and battlefield terrain are analyzed based on the characteristics of the battlefield environment, and the combat elements are marked according to the analysis results to generate marking information.

[0120] It should be noted that by analyzing and enhancing remote sensing images, the background features and battlefield environment features in the images are screened, so that the battlefield environment features can be analyzed separately, and the accurate battlefield landforms, terrain and distribution of combat elements can be effectively obtained, so that the combat elements can be accurately marked.

[0121] According to an embodiment of the present invention, the dynamic data of combat elements are analyzed based on the effectiveness of different combat elements, and the battlefield situation information is analyzed according to the dynamic data, which specifically includes:

[0122] Match different combat weapons based on different combat elements, including combat arms, combat vehicles, combat boats and combat drones;

[0123] Analyze the power of different combat weapons and evaluate the effectiveness of combat elements based on the power of combat weapons;

[0124] The dynamic data of the battlefield is predicted according to the effectiveness of the combat elements, and the battlefield situation information is obtained based on the change information of the dynamic data of the battlefield.

[0125] It should be noted that different combat arms and different combat weapons have different powers. By evaluating the power, we can accurately analyze the effectiveness of different combat elements. Effectiveness can be understood as attack capability and the efficiency and ability to complete combat tasks, thereby accurately analyzing and predicting changes in battlefield situation and improving the accuracy of situation analysis.

[0126] According to an embodiment of the present invention, the annotation information is dynamically adjusted based on the battlefield situation information, specifically including:

[0127] Obtain battlefield situation information at different time nodes, compare battlefield situation information at adjacent time nodes, and obtain situation change rate;

[0128] Determine whether the situation change rate is greater than or equal to a set situation change rate threshold;

[0129] If it is greater than or equal to, the annotation information is roughly adjusted according to the situation change rate;

[0130] If it is less than, the annotation information will be slightly adjusted according to the rate of change of the situation.

[0131] It should be noted that by analyzing the changes in battlefield situation information at different time nodes, different adjustments are made according to different change rates. Coarse adjustment means that the annotation information has a large error. At this time, you can choose to re-annotate according to the position changes of the combat elements. Fine adjustment can be understood as a small change in the annotation information. According to the situation change rate, only slight adjustments need to be made to the original annotation information to improve the efficiency of the adjustment.

[0132] According to an embodiment of the present invention, the battlefield situation is analyzed based on a large model, situation deduction information is generated, and auxiliary adjustment of the combat strategy is performed based on the situation deduction information, specifically including:

[0133] Obtain historical deduction data and input the historical deduction data into the original model for training;

[0134] If the training results converge, a situation deduction model is generated, and the battlefield situation is deduced based on the situation deduction model to obtain the deduction results, and the combat strategy is adjusted according to the deduction results;

[0135] If the training results do not converge, adjust the parameters of the original model until the model converges.

[0136] It should be noted that the constructed situation deduction model can be used to deduce the battlefield dynamic data of subsequent operations, thereby effectively formulating new combat strategies and realizing early layout and adjustment of combat strategies.

[0137] According to an embodiment of the present invention, after obtaining battlefield remote sensing images based on remote sensing technology, the method further includes:

[0138] Acquire battlefield remote sensing images and analyze battlefield elements and combat elements in the battlefield environment. Battlefield elements include battlefield building layout, battlefield terrain and topography, and battlefield space distribution. Combat elements include combat arms, combat weapons, and combat space.

[0139] Based on 3D modeling technology, battlefield elements and combat elements are realistically simulated to obtain combat time and space data;

[0140] Input the combat time-space data into the spatial analysis model, and output the dynamic change data of battlefield elements and combat elements;

[0141] Generate battlefield situation information based on dynamically changing data analysis.

[0142] It should be noted that 3D modeling technology can be used to realize visual analysis of the dynamic changes of battlefield elements and combat elements on the battlefield, thereby improving the accuracy of battlefield situation analysis.

[0143] The third aspect of the present invention provides a computer-readable storage medium, which includes a complex battlefield situation analysis method program based on large model technology. When the complex battlefield situation analysis method program based on large model technology is executed by a processor, the steps of the complex battlefield situation analysis method based on large model technology as described above are implemented.

[0144] The present invention discloses a complex battlefield situation analysis method, system and medium based on large model technology. The method comprises the following steps: obtaining battlefield remote sensing images based on remote sensing technology, preprocessing the battlefield remote sensing images and obtaining processing results; annotating the combat environment and combat elements based on the processing results and obtaining annotation information; analyzing the dynamic data of combat elements based on the effectiveness of different combat elements, and analyzing the battlefield situation information according to the dynamic data; dynamically adjusting the annotation information based on the battlefield situation information; analyzing the battlefield situation based on the large model, generating situation deduction information, and assisting in adjusting the combat strategy based on the situation deduction information; analyzing the battlefield environment through remote sensing technology, thereby accurately annotating the combat elements; in the process of battlefield situation analysis, accurately analyzing the battlefield situation by analyzing the dynamic data of the combat elements, thereby deducing the battlefield situation changes, and providing an effective basis for adjusting the combat strategy.

[0145] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0146] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0147] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0148] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0149] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A complex battlefield situation analysis method based on large model technology, characterized in that: include: Acquire battlefield remote sensing images based on remote sensing technology, pre-process the battlefield remote sensing images, and obtain processing results; Annotate the combat environment and combat elements based on the processing results to obtain annotation information; Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on the dynamic data; Dynamically adjust the annotation information based on battlefield situation information; Analyze battlefield situations based on large models, generate situation deduction information, and make auxiliary adjustments to combat strategies based on situation deduction information; Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on dynamic data, including: Match different combat weapons based on different combat elements, including combat arms, combat vehicles, combat boats and combat drones; Analyze the power of different combat weapons and evaluate the effectiveness of combat elements based on the power of combat weapons; predict battlefield dynamic data based on the effectiveness of combat elements and obtain battlefield situation information based on the change information of battlefield dynamic data; Dynamically adjust the annotation information based on battlefield situation information, including: Obtain battlefield situation information at different time nodes, compare battlefield situation information at adjacent time nodes, and obtain situation change rate; Determining whether the situation change rate is greater than or equal to a set situation change rate threshold; If it is greater than or equal to, the annotation information is roughly adjusted according to the situation change rate; If it is less than, the annotation information is slightly adjusted according to the situation change rate; After obtaining battlefield remote sensing images based on remote sensing technology, it also includes: Obtain battlefield remote sensing images and analyze battlefield elements and combat elements in the battlefield environment. Battlefield elements include battlefield Building layout, battlefield topography and battlefield space distribution, combat elements include combat arms, combat weapons and combat space; Based on 3D modeling technology, battlefield elements and combat elements are realistically simulated to obtain combat time and space data; Input the combat time-space data into the spatial analysis model, and output the dynamic change data of battlefield elements and combat elements; Generate battlefield situation information based on dynamically changing data analysis.

2. The complex battlefield situation analysis method based on large model technology according to claim 1 is characterized in that: Based on remote sensing technology, battlefield remote sensing images are obtained, and the battlefield remote sensing images are preprocessed to obtain processing results, including: Acquire battlefield remote sensing images, segment the remote sensing images, and generate several sub-images; analyze the grayscale value of each pixel of the sub-images in parallel; Determine whether the grayscale value meets the requirement; If the requirements are met, several sub-images are fused and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image; If the requirements are not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

3. The complex battlefield situation analysis method based on large model technology according to claim 2 is characterized in that: Based on the processing results, the combat environment and combat elements are annotated to obtain annotation information, including: Acquire processing results, obtain a preprocessed enhanced remote sensing image based on the processing results, and extract image features of the enhanced remote sensing image; Compare the image features with the set background features to obtain feature similarity; Based on feature similarity, background features and battlefield environment features in remote sensing features are classified to screen out battlefield environment features; The battlefield landforms, combat elements and battlefield terrain are analyzed based on the characteristics of the battlefield environment, and the combat elements are marked according to the analysis results to generate marking information.

4. The complex battlefield situation analysis method based on large model technology according to claim 1 is characterized in that: Analyze battlefield situation based on big model, generate situation deduction information, and make auxiliary adjustments to combat strategy based on situation deduction information, including: Obtain historical deduction data and input the historical deduction data into the original model for training; If the training results converge, a situation deduction model is generated, and the battlefield situation is deduced based on the situation deduction model to obtain the deduction results, and the combat strategy is adjusted according to the deduction results; If the training results do not converge, adjust the parameters of the original model until the model converges.

5. A complex battlefield situation analysis system based on large model technology, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a complex battlefield situation analysis method based on a large model technology, and when the program of the complex battlefield situation analysis method based on a large model technology is executed by the processor, the following steps are implemented: Acquire battlefield remote sensing images based on remote sensing technology, pre-process the battlefield remote sensing images, and obtain processing results; Annotate the combat environment and combat elements based on the processing results to obtain annotation information; Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on the dynamic data; Dynamically adjust the annotation information based on battlefield situation information; Analyze battlefield situations based on large models, generate situation deduction information, and make auxiliary adjustments to combat strategies based on situation deduction information; Analyze the dynamic data of combat elements based on the effectiveness of different combat elements, and analyze battlefield situation information based on dynamic data, including: Match different combat weapons based on different combat elements, including combat arms, combat vehicles, combat boats and combat drones; Analyze the power of different combat weapons and evaluate the effectiveness of combat elements based on the power of combat weapons; predict battlefield dynamic data based on the effectiveness of combat elements and obtain battlefield situation information based on the change information of battlefield dynamic data; Dynamically adjust the annotation information based on battlefield situation information, including: Obtain battlefield situation information at different time nodes, compare battlefield situation information at adjacent time nodes, and obtain situation change rate; Determining whether the situation change rate is greater than or equal to a set situation change rate threshold; If it is greater than or equal to, the annotation information is roughly adjusted according to the situation change rate; If it is less than, the annotation information is slightly adjusted according to the situation change rate; After obtaining battlefield remote sensing images based on remote sensing technology, it also includes: Obtain battlefield remote sensing images and analyze battlefield elements and combat elements in the battlefield environment. Battlefield elements include battlefield Building layout, battlefield topography and battlefield space distribution, combat elements include combat arms, combat weapons and combat space; Based on 3D modeling technology, battlefield elements and combat elements are realistically simulated to obtain combat time and space data; Input the combat time-space data into the spatial analysis model, and output the dynamic change data of battlefield elements and combat elements; Generate battlefield situation information based on dynamically changing data analysis.

6. The complex battlefield situation analysis system based on large model technology according to claim 5 is characterized in that: Based on remote sensing technology, battlefield remote sensing images are obtained, and the battlefield remote sensing images are preprocessed to obtain processing results, including: Acquire battlefield remote sensing images, segment the remote sensing images, and generate several sub-images; analyze the grayscale value of each pixel of the sub-images in parallel; Determine whether the grayscale value meets the requirement; If the requirements are met, several sub-images are fused and battlefield remote sensing image enhancement is performed to obtain an enhanced remote sensing image; If the requirements are not met, correction information is generated, and the grayscale value of the pixel is compensated based on the correction information.

7. The complex battlefield situation analysis system based on large model technology according to claim 6 is characterized in that: Based on the processing results, the combat environment and combat elements are annotated to obtain annotation information, including: Acquire processing results, obtain a preprocessed enhanced remote sensing image based on the processing results, and extract image features of the enhanced remote sensing image; Compare the image features with the set background features to obtain feature similarity; Based on feature similarity, background features and battlefield environment features in remote sensing features are classified to screen out battlefield environment features; The battlefield landforms, combat elements and battlefield terrain are analyzed based on the characteristics of the battlefield environment, and the combat elements are marked according to the analysis results to generate marking information.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a complex battlefield situation analysis method program based on large model technology. When the complex battlefield situation analysis method program based on large model technology is executed by a processor, the steps of the complex battlefield situation analysis method based on large model technology as described in any one of claims 1 to 4 are implemented.

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