Light weapon simulated shooting comprehensive information management and analysis system

Abstract

The invention discloses a light weapon simulated shooting comprehensive information management and analysis system, which relates to the technical field of comprehensive information management and analysis, and comprises a comprehensive management center, a virtual reality simulation module, an intelligent feedback module and a data analysis module, the comprehensive management center outputs analysis data through a data analysis module and transmits the analysis data to a virtual reality simulation module through a local area network, and the virtual reality simulation module is connected with an intelligent feedback module through a data signal line. The system is characterized in that the intelligent feedback module is used for providing training adjustment feedback according to real-time data and historical data analysis results. The intelligent feedback module is designed, the intelligent training and timely feedback function is achieved, the technical problems of real-time monitoring and user performance feedback are solved, customized suggestions are generated through a personalized algorithm, personalized and scientific training support is provided, a user can rapidly adjust training actions and strategies, and the training efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive information management and analysis, in particular to a comprehensive information management and analysis system for simulated shooting of light weapons. Background Art

[0002] Existing light weapons simulation shooting systems can generally only provide basic shooting feedback, such as hit rate and shooting accuracy. They lack comprehensive analysis and management of the shooting process, and are unable to provide timely and effective feedback to soldiers based on the shooting situation to adjust and optimize shooting training. They cannot meet the efficiency and data management needs of modern training.

[0003] The existing simulated shooting system has many deficiencies in data management, training analysis, performance evaluation, etc., and it is difficult to meet the needs of modern military training. Therefore, it is particularly important to design a comprehensive information management and analysis system.

[0004] 1. Patent document CN107958205B discloses an intelligent management system for shooting training. The above patent realizes real-time collection of target paper information and automatic analysis of shooting accuracy, while managing user data. However, the above patent cannot realize the function of timely feedback of intelligent training.

[0005] 2. Patent document CN112432557B discloses a tank shooting accuracy test system under laboratory conditions. The above patent realizes the test and verification of tank shooting accuracy, which can shorten the tank development cycle and reduce the cost of field shooting tests. However, the above patent cannot realize the shooting training simulation function.

[0006] 3. Patent document CN110360877B discloses an intelligent auxiliary system and method for shooting training. The above patent realizes an accurate identification and judgment of shooting results, and the training results are intelligently stored, statistically managed and displayed. The whole system brings extremely effective auxiliary effects to shooting training and can effectively improve the results of shooting training. However, the above patent cannot realize the modeling and analysis function of comprehensive shooting data.

[0007] 4. Patent document CN115615243B discloses a comprehensive target calibration management system and method using image processing technology. The above patent solves the possible deviation problem in shooting training using laser shooting equipment in an AI shooting range. It not only retains the convenience of AI shooting range training, but also improves the accuracy and practical application of AI shooting range training. However, the above patent cannot realize the functions of user interaction and result visualization.

[0008] In summary, the above patents cannot realize the functions of timely feedback of intelligent training, simulation of shooting training, modeling and analysis of comprehensive shooting data, and visualization of user interaction results, resulting in the lack of comprehensive analysis and management of the shooting process, the inability to provide timely and effective feedback to soldiers based on the shooting situation, the inability to timely adjust and optimize shooting training, and the inability to meet the needs of modern training efficiency and data management;

[0009] To this end, the present application proposes a light weapon simulated shooting comprehensive information management and analysis system that can realize the functions of intelligent training and timely feedback, shooting training simulation and emulation, shooting comprehensive data modeling and analysis, and user interaction result visualization. Summary of the invention

[0010] The purpose of the present invention is to provide a comprehensive information management and analysis system for simulated shooting of light weapons, so as to solve the technical problems proposed in the above-mentioned background technology that the timely feedback function of intelligent training, the simulation function of shooting training, the modeling and analysis function of comprehensive shooting data and the visualization function of user interaction results cannot be realized, resulting in a lack of comprehensive analysis and management of the shooting process, the inability to provide timely and effective feedback to soldiers according to the shooting situation, the inability to timely adjust and optimize shooting training, and the inability to meet the high efficiency and data management requirements of modern training.

[0011] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a light weapon simulated shooting comprehensive information management and analysis system, comprising a comprehensive management center, a virtual reality simulation module, an intelligent feedback module and a data analysis module, wherein the comprehensive management center outputs analysis data through the data analysis module and transmits the analysis data to the virtual reality simulation module through a local area network, the virtual reality simulation module is connected to the intelligent feedback module through a data signal line, and the intelligent feedback module is used to provide training adjustment feedback according to the analysis results of real-time data and historical data;

[0012] The intelligent feedback module includes: a real-time feedback unit, a personalized suggestion unit and a feedback recording unit;

[0013] The real-time feedback unit provides instant voice feedback through headphones, including hit prompts and training suggestions, displays instant visual prompts through the screen, including hit positions, hit rates and reaction times, and provides tactile feedback through a vibration device, including hit vibrations and error vibrations;

[0014] The personalized suggestion unit provides personalized suggestions based on the training data, including shooting posture, breathing rhythm and gun holding method, generates a personalized training plan, including training content, training goals and training time, and adjusts the training plan in real time according to the training performance, including training difficulty, training content and training time;

[0015] The feedback recording unit records the feedback content of each training, including instant feedback and personalized suggestions, records the improvements made according to the feedback, including the improvement content and improvement effect, analyzes historical feedback data, and discovers improvement trends and patterns.

[0016] Preferably, the virtual reality simulation module includes: a scene construction unit, an interactive experience unit and a device support unit;

[0017] The scenario construction unit uses 3D modeling software to create realistic training scenarios, including cities, forests, and deserts, simulating natural factors in various training environments, including weather changes, terrain undulations, and obstacles, and dynamically adjusts scenarios according to training needs, including scene switching, environmental changes, and difficulty adjustments;

[0018] The interactive experience unit uses virtual reality technology to provide an immersive training experience. It uses motion capture equipment to capture soldiers' movements and postures in real time and provides instant training feedback in a virtual environment, including visual prompts, voice prompts, and tactile feedback.

[0019] The device support unit supports mainstream virtual reality headsets and the use of various motion controllers, including handles, gloves, and steppers, ensuring the system's compatibility with a variety of hardware devices, including sensors, cameras, and displays.

[0020] Preferably, the data analysis module includes: an algorithm unit, an analysis model unit and a report generation unit;

[0021] The algorithm unit performs statistical data analysis, including mean, variance, and standard deviation, provides basic training data analysis and evaluation, uses machine learning algorithms for pattern recognition and predictive analysis, and uses deep learning models to perform in-depth analysis and modeling of complex data to explore potential data patterns;

[0022] The analysis model unit builds a regression model to predict design performance and training effects, provides quantitative prediction results, uses classification models to identify soldiers' design styles and habits, classifies different training modes, and groups and classifies training data through clustering models to discover clustering features and patterns in the data;

[0023] The report generation unit uses chart generation tools to generate various data analysis charts and detailed text reports, including data analysis results, training performance evaluation and improvement suggestions, and flexibly customizes the report content and format according to user needs.

[0024] Preferably, the data analysis module is connected to a data acquisition module via a local area network, and the data acquisition module serves as the data input of the data analysis module;

[0025] The data acquisition module includes: a sensor unit, a data acquisition device unit and a data transmission unit;

[0026] The sensor unit captures the soldier's designed position and movement trajectory through a high-precision positioning system, uses environmental sensors to record temperature, humidity and wind speed data in the training environment, and monitors the soldier's physiological indicators through heart rate sensors and respiratory rate sensors;

[0027] The data acquisition device unit uses portable data acquisition equipment to record the soldiers' designed movements and gun-holding postures, uses sensors installed on the shooting targets to record the hits of each shot, including the hit position and deviation, and uses high-definition cameras and video analysis technology to record and analyze video data during the shooting process in real time;

[0028] The data transmission unit adopts wireless transmission technology to transmit sensor data to the data storage module in real time, and uses advanced encryption standard technology to ensure the security of data transmission.

[0029] Preferably, the data storage module is used to manage and store the data collected by the data collection module;

[0030] The data storage module includes: a database management unit, a data index unit and a data compression unit;

[0031] The database management unit uses a relational database system to store structured data, including soldier information, weapon types, and training records, to support efficient data query and management. It uses a non-relational database system to store unstructured data, including videos and images, to support efficient storage and retrieval of large-scale data, and to back up data regularly, using a combination of incremental and full backup strategies to prevent data loss.

[0032] The data index unit supports full-text retrieval of text data by creating indexes and optimizing query statements, using the full-text retrieval engine, building a multi-dimensional index structure, and performing efficient retrieval and analysis of multi-dimensional data;

[0033] The data compression unit adopts an efficient data compression algorithm, flexibly adjusts the compression ratio according to the data type and storage requirements, balances the storage space and data access speed, and supports fast data decompression operations.

[0034] Preferably, the data storage module is connected to a user management module via a local area network;

[0035] The user management module includes: user information unit, task allocation unit and progress tracking unit;

[0036] The user information unit records the soldier's basic personal information, records the soldier's historical training data, sets the user's operating authority, and controls different users' access to the system and operating authority;

[0037] The task assignment unit assigns specific shooting training tasks according to the training plan and the individual conditions of the soldiers, tracks the completion of the training tasks in real time, records the progress and achievement of the tasks, and records the feedback information after the tasks are completed;

[0038] The progress tracking unit tracks the soldiers' training progress in real time, records the changes in various data during the training process, queries historical training progress, analyzes the training progress, identifies training problems and deficiencies, and puts forward suggestions for improvement.

[0039] Preferably, the data analysis module is connected to a visualization module via a local area network, and the visualization module is used to display the comprehensive shooting information in real time;

[0040] The visualization module includes: a graphical interface unit, a data display unit and a report display unit;

[0041] The graphical interface unit provides an intuitive user operation interface, including the main interface, data display interface and analysis interface;

[0042] The data display unit displays real-time changing training data, provides dynamic data display, displays aggregated training data, and supports multi-dimensional display and analysis of data, including time dimension, space dimension, and person dimension;

[0043] The report display unit combines graphics and text to display comprehensive reports.

[0044] Preferably, the regression model in the analysis model unit is used to predict shooting performance and training effect, and the output variable is predicted based on the input variable. The linear regression model is:

[0045] y=β0+β1x1+...+β n x n +ε

[0046] Among them, y is the predicted shooting score, x i is the input variable, β i is the regression coefficient and ε is the error term.

[0047] Preferably, the classification model in the analysis model unit is used to identify the shooting style and habits of soldiers using light weapons, and classify different types of shooting data. The support vector machine classification model is:

[0048] f(x)=sign(w·x+b)

[0049] Among them, w is the weight vector, x is the input variable vector, and b is the bias.

[0050] Preferably, the clustering model in the analysis model unit is used to group the training data and find clustering features and patterns in the data. The K-means clustering model is:

[0051]

[0052] Where k is the number of clusters, S i is the i-th cluster, μ i is the centroid of the ith cluster.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. The present invention realizes the function of intelligent training and timely feedback by designing an intelligent feedback module, solves the technical problem of real-time monitoring and feedback of user performance, generates customized suggestions through personalized algorithms, and realizes long-term accumulation and management of feedback information through effective record management, providing personalized and scientific training support, so that users can quickly adjust training actions and strategies to improve training efficiency;

[0055] 2. The present invention realizes the shooting training simulation function by designing a virtual reality simulation module, solves the problems of how to build a highly simulated training scene, realize natural interaction and equipment compatibility, provides realistic visual and auditory experience through advanced virtual reality technology, and users can train in a realistic virtual environment, which can significantly improve the training effect, avoid the risks in real training, and provide a safe and flexible training environment;

[0056] 3. The present invention realizes the modeling and analysis function of shooting comprehensive data by designing a data analysis module, solves the technical problems of efficiently processing and analyzing a large amount of training data, building and optimizing analysis models, and generating detailed analysis reports, and ensures the accuracy and reliability of data analysis. Through detailed data analysis, users can fully understand the training effects and problems, make scientific decisions on the adjustment and optimization of training plans, and improve the effectiveness and scientificity of training;

[0057] 4. The present invention realizes the functions of user interaction and result visualization by designing a user management module and a visualization module, solves the problem that comprehensive shooting information cannot be quantified and displayed, and improves user experience and decision-making optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the system module of the present invention;

[0059] Figure 2 It is a schematic diagram of the information comprehensive management and analysis process of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Example 1

[0062] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, comprising a comprehensive management center, a virtual reality simulation module, an intelligent feedback module and a data analysis module, the comprehensive management center outputs analysis data through the data analysis module and transmits it to the virtual reality simulation module through a local area network, the virtual reality simulation module is connected to the intelligent feedback module through a data signal line, and the intelligent feedback module is used to provide training adjustment feedback according to the analysis results of real-time data and historical data;

[0063] The intelligent feedback module includes: a real-time feedback unit, a personalized suggestion unit and a feedback recording unit;

[0064] The real-time feedback unit provides instant voice feedback through headphones, including hit prompts and training suggestions, displays instant visual prompts through the screen, including hit positions, hit rates and reaction times, and provides tactile feedback through a vibration device, including hit vibrations and error vibrations;

[0065] The personalized suggestion unit provides personalized suggestions based on the training data, including shooting posture, breathing rhythm and gun holding method, generates a personalized training plan, including training content, training goals and training time, and adjusts the training plan in real time according to the training performance, including training difficulty, training content and training time;

[0066] The feedback recording unit records the feedback content of each training, including instant feedback and personalized suggestions, records the improvements made according to the feedback, including the improvement content and improvement effect, analyzes historical feedback data, and discovers improvement trends and patterns;

[0067] Furthermore, the real-time feedback unit provides real-time training guidance and improvement suggestions through real-time monitoring and feedback mechanisms. It obtains soldiers' training data (such as position, heart rate, and hit status) in real time through sensors (such as position sensors and biosensors) and acquisition devices (such as handheld devices, target sensors, and high-definition cameras). The data is transmitted to the data analysis module. After rapid processing and analysis, real-time feedback information is generated, and real-time voice prompts are provided to soldiers through headphones, such as "Incorrect posture, please adjust", "The target was not hit, please try again", etc. Real-time visual prompts such as hit position, hit rate, reaction time, etc. are displayed on the display screen or head-mounted display device. Tactile feedback such as hit vibration and error vibration are provided through vibration devices to enhance the realism and experience of training.

[0068] The personalized suggestion unit provides customized training suggestions and plans based on the results of the analysis model unit to help soldiers improve their training effects. It obtains historical training data and real-time data from the data storage module, conducts in-depth analysis through the data analysis module, identifies strengths and weaknesses in training, and uses regression models, classification models, and clustering models to analyze training data and generate personalized training suggestions. It uses machine learning and deep learning algorithms to generate suggestions based on soldiers' personal performance and historical data. Based on the analysis results, it recommends soldiers how to adjust their shooting posture to improve their hit rate, recommends the best breathing rhythm to stabilize their shooting feel, and provides optimization suggestions to enhance stability based on soldiers' gun-holding habits. It generates personalized training plans, including training content, training goals, and training time.

[0069] The feedback recording unit records the feedback content and improvements of each training in detail to form a systematic training file to help soldiers continuously improve training results. After each training, the immediate feedback and personalized suggestions are recorded in the log, including the time, location, content and feedback results of the training. The improvements made by the soldiers based on the feedback are recorded, including the content of the improvements, the effects of the improvements, etc. The unit regularly analyzes historical feedback data to discover improvement trends and patterns, provide data support and decision-making basis, and generate comprehensive reports to show the soldiers' training progress and results.

[0070] Example 2

[0071] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, the virtual reality simulation module includes: a scene construction unit, an interactive experience unit and a device support unit;

[0072] The scenario construction unit uses 3D modeling software to create realistic training scenarios, including cities, forests, and deserts, simulating natural factors in various training environments, including weather changes, terrain undulations, and obstacles, and dynamically adjusts scenarios according to training needs, including scene switching, environmental changes, and difficulty adjustments;

[0073] The interactive experience unit uses virtual reality technology to provide an immersive training experience. It uses motion capture equipment to capture soldiers' movements and postures in real time and provides instant training feedback in a virtual environment, including visual prompts, voice prompts, and tactile feedback.

[0074] The device support unit supports mainstream virtual reality head-mounted display devices and the use of various motion controllers, including handles, gloves, and steppers, ensuring the compatibility of the system with various hardware devices, including sensors, cameras, and displays;

[0075] Further, the scenario construction unit is responsible for creating realistic training scenarios, simulating actual combat environments, designing different scenario templates according to training requirements, such as urban combat, jungle combat, desert combat, etc., taking into account factors such as weather, time, and terrain, creating a diverse training environment, using 3D modeling software (such as Blender, Maya) to create detailed environmental models, including buildings, vegetation, terrain, etc., applying high-quality texture maps to enhance the realism of the scene, integrating physical engines (such as Unity, Unreal Engine) to perform physical simulations such as gravity, collision, explosion, etc., to achieve dynamic changes in the scene, such as weather changes, day and night alternation, etc., placing training objects such as enemies, obstacles, targets, etc. in the scene, and adjusting scene parameters such as the number of enemies, behavior patterns, etc. to meet different training needs;

[0076] The interactive experience unit provides an immersive training experience through virtual reality equipment, captures soldiers' movements and postures in real time, and interacts with them. It connects to virtual reality head-mounted display devices (such as Oculus Rift and HTC Vive) to provide an immersive visual experience. It connects to motion capture devices (such as Kinect and Leap Motion) to capture soldiers' body and hand movements in real time, and uses GPU for efficient real-time rendering to ensure the smoothness and realism of the picture. It uses motion capture devices and algorithms to identify soldiers' movements and postures in real time, and gives corresponding feedback in the virtual environment, providing instant visual, auditory and tactile feedback, such as shooting hits, enemy counterattacks, environmental changes, etc. It displays a head-up display (HUD) in a virtual reality environment to provide real-time training information, such as remaining ammunition and mission objectives.

[0077] The device support unit ensures the compatibility of the virtual reality system with various hardware devices, provides a stable operating environment, installs and updates the drivers of virtual reality headsets, motion capture devices, and input devices to ensure the normal operation of the equipment, checks and configures device interfaces (such as USB, HDMI), ensures the compatibility and stability of hardware devices, improves system performance through hardware acceleration and software optimization, and ensures the smooth operation of the virtual reality environment.

[0078] Example 3

[0079] See also Figure 1 and Figure 2 ,An embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, the data analysis module comprises: an algorithm unit, an analysis model unit and a report generation unit;

[0080] The algorithm unit performs statistical data analysis, including mean, variance and standard deviation, provides basic training data analysis and evaluation, uses machine learning algorithms for pattern recognition and predictive analysis, and uses deep learning models to perform in-depth analysis and modeling of complex data to explore potential data patterns;

[0081] The analysis model unit builds a regression model to predict design performance and training effects, provides quantitative prediction results, uses classification models to identify soldiers' design styles and habits, classifies different training modes, and groups and classifies training data through clustering models to discover clustering features and patterns in the data;

[0082] The report generation unit uses chart generation tools to generate various data analysis charts and detailed text reports, including data analysis results, training performance evaluation and improvement suggestions. The report content and format can be flexibly customized according to user needs.

[0083] Furthermore, data preprocessing is first performed to remove or correct outliers, missing values, and duplicate data to ensure data quality. Data of different dimensions are standardized to make them have the same dimension to facilitate subsequent analysis. Feature engineering is performed on the data, including feature extraction, feature selection, and feature conversion, to improve the analysis effect of the data. Basic statistics of the data, such as mean, median, standard deviation, variance, etc., are calculated to understand the basic distribution of the data. Data visualization techniques, such as histograms, scatter plots, box plots, etc., are used to intuitively display the distribution and relationship of the data. According to the characteristics of the data and analysis requirements, appropriate algorithms, such as regression analysis, classification algorithms, clustering algorithms, etc., are selected;

[0084] Use historical training data to train regression models, classification models, and clustering models. Based on the trained models, predict, classify, and cluster new training data to provide accurate predictions of light weapons shooting scores, identify soldiers' shooting styles and habits when using light weapons, and discover clustering features and patterns in the data.

[0085] Integrate the analysis results of regression models, classification models and clustering models to form a comprehensive analysis report, extract key training indicators such as hit rate, reaction time, classification results, clustering results, etc., and display them in detail. Generate various charts through visualization technology, such as line charts, bar charts, pie charts, heat maps, etc., to intuitively display the analysis results, describe the analysis results in text, explain the meaning of each indicator and the rules behind the data, and generate personalized training suggestions and improvement plans based on the analysis results, such as adjusting shooting posture, optimizing training plans, etc., analyze the historical trends of training data, and provide long-term improvement suggestions and training strategies.

[0086] Example 4

[0087] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, wherein the data analysis module is connected to the data acquisition module via a local area network, and the data acquisition module serves as the data input of the data analysis module;

[0088] The data acquisition module includes: a sensor unit, a data acquisition device unit and a data transmission unit;

[0089] The sensor unit captures the soldier's designed position and movement trajectory through a high-precision positioning system, uses environmental sensors to record temperature, humidity and wind speed data in the training environment, and monitors the soldier's physiological indicators through heart rate sensors and respiratory rate sensors;

[0090] The data acquisition device unit uses portable data acquisition equipment to record the soldiers' designed movements and gun-holding postures, uses sensors installed on the shooting targets to record the hits of each shot, including the hit position and deviation, and uses high-definition cameras and video analysis technology to record and analyze video data during the shooting process in real time;

[0091] The data transmission unit uses wireless transmission technology to transmit sensor data to the data storage module in real time, and uses advanced encryption standard technology to ensure the security of data transmission;

[0092] Furthermore, physiological sensors and motion sensors are integrated into soldiers' wearable devices (such as smart watches and fitness bands), position sensors and motion sensors are integrated into weapons and equipment used for training, and environmental sensors are deployed at training sites to monitor environmental conditions in real time. The sensors capture soldiers' physiological data, motion data, position data, and environmental data in real time;

[0093] For example, portable data recorders are worn by soldiers to collect and store data in real time. Sensors installed on the shooting targets are used to record the hits of each shot, including the hit position and deviation. High-definition cameras and video analysis technology are used to record and analyze video data during the shooting process in real time. Data from different sensors are integrated to form a unified data stream, providing a real-time data monitoring interface so that coaches and administrators can view data collection in real time.

[0094] The data transmission unit ensures that the collected data can be transmitted to the data analysis module and data storage module in real time and securely for subsequent analysis.

[0095] Example 5

[0096] See also Figure 1 and Figure 2 ,An embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, wherein the data storage module is connected to a user management module via a local area network;

[0097] The user management module includes: user information unit, task allocation unit and progress tracking unit;

[0098] The user information unit records the soldier's basic personal information, records the soldier's historical training data, sets the user's operating authority, and controls different users' access to the system and operating authority;

[0099] The task assignment unit assigns specific shooting training tasks according to the training plan and the individual conditions of the soldiers, tracks the completion of the training tasks in real time, records the progress and achievement of the tasks, and records the feedback information after the tasks are completed;

[0100] The progress tracking unit tracks the soldiers' training progress in real time, records the changes in various data during the training process, queries historical training progress, analyzes the training progress, identifies training problems and deficiencies, and puts forward suggestions for improvement;

[0101] Furthermore, the user information unit is responsible for managing and maintaining the user's basic information and permission settings, providing personalization and permission management support for the system. Users can log in to the system by registering, and their personal information will be securely stored and managed. The system can provide customized services and permissions based on the user's role;

[0102] The task allocation unit is responsible for allocating corresponding training tasks according to the user's training needs and system analysis results, and provides task management functions. The system presets a variety of training task templates, such as basic shooting training, advanced tactical training, environmental adaptation training, etc. According to the user's training data and analysis results, the system automatically allocates suitable training tasks to the user and synchronizes the tasks to the user's personal calendar, so that the user can view and manage the training time conveniently;

[0103] The progress tracking unit is responsible for real-time tracking of the user's training progress, recording training data, providing training progress reports, and adjusting the training plan according to the progress. The data acquisition module collects the user's training data in real time, such as training time, training results, task completion status, etc. Coaches and administrators can monitor the user's training progress and performance in real time through the system interface. The system automatically detects abnormal situations in the training progress, such as poor training results, incomplete training tasks, etc., and sends reminder notifications and generates training progress reports, including key indicators, training effect evaluation, improvement suggestions, etc.

[0104] Example 6

[0105] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a light weapon simulated shooting comprehensive information management and analysis system, wherein the data analysis module is connected to a visualization module via a local area network, and the visualization module is used to display the comprehensive shooting information in real time;

[0106] The visualization module includes: a graphical interface unit, a data display unit and a report display unit;

[0107] The graphical interface unit provides an intuitive user operation interface, including the main interface, data display interface and analysis interface;

[0108] The data display unit displays real-time changing training data, provides dynamic data display, displays aggregated training data, and supports multi-dimensional display and analysis of data, including time dimension, space dimension, and person dimension;

[0109] The report display unit combines graphics and text to display comprehensive reports;

[0110] Furthermore, the user interacts with the system through the graphical interface unit, conveniently operates the system and views the visualization results, obtains the analyzed training data from the data analysis module, cleans, filters and converts the data to ensure the accuracy and consistency of the data, selects the appropriate chart type, such as line chart, bar chart, pie chart, heat map, etc., according to the data characteristics and display requirements, draws the corresponding chart according to the selected chart type and the pre-processed data, configures the chart title, coordinate axis, legend, label, etc., ensures that the chart information is complete and clear, and updates the chart data in real time to ensure that the user sees the latest data;

[0111] The report display unit is responsible for generating and displaying training reports, presenting data analysis results to users in the form of reports. Users can view and export training reports through the report display unit to fully understand the training effects and improvement suggestions;

[0112] The visualization module converts complex data into easy-to-understand graphics and reports through the collaborative work of the graphical interface unit, the data display unit, and the report display unit. The graphical interface unit is responsible for the design and implementation of the user interface, the data display unit is responsible for intuitively displaying data in the form of charts, and the report display unit is responsible for generating and displaying detailed training reports. The design of this module ensures the intuitiveness of data display and the comprehensiveness of report generation, providing users with powerful data visualization support.

[0113] Working principle: First, the system collects data such as the soldier's shooting position, environmental conditions, and physiological indicators in real time through the data acquisition module. The handheld device and target sensor record the shooting action, gun grip posture, and hit situation, and the high-definition camera monitors the shooting process in real time. The collected data is transmitted to the data storage module in real time through the local area network;

[0114] Next, the data analysis module uses statistical analysis, machine learning and deep learning algorithms to process the data, establish regression models, classification models and clustering models, and generate detailed data analysis reports. The report generation unit can display the analysis results in the form of charts and text to provide users with comprehensive and intuitive training feedback;

[0115] Finally, during the training process, the system provides realistic training scenes and immersive experiences through the virtual reality simulation module, captures the soldiers' movements and postures in real time, and provides training guidance through instant voice feedback, visual prompts, and tactile feedback. The intelligent feedback system uses data analysis results to generate personalized training suggestions and adjust training plans based on real-time and historical data to help soldiers continuously improve their shooting skills. The feedback recording unit records the feedback and improvements of each training in detail, conducts historical analysis, and helps soldiers continuously improve their training results.

[0116] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A light weapon simulated shooting comprehensive information management and analysis system, comprising a comprehensive management center, a virtual reality simulation module, an intelligent feedback module and a data analysis module, wherein the comprehensive management center outputs analysis data through the data analysis module and transmits the analysis data to the virtual reality simulation module through a local area network, and the virtual reality simulation module is connected to the intelligent feedback module through a data signal line, characterized in that: The intelligent feedback module is used to provide training adjustment feedback based on real-time data and historical data analysis results; The intelligent feedback module includes: a real-time feedback unit, a personalized suggestion unit and a feedback recording unit; The real-time feedback unit provides instant voice feedback through headphones, including hit prompts and training suggestions, displays instant visual prompts through the screen, including hit positions, hit rates and reaction times, and provides tactile feedback through a vibration device, including hit vibrations and error vibrations; The personalized suggestion unit provides personalized suggestions based on the training data, including shooting posture, breathing rhythm and gun holding method, generates a personalized training plan, including training content, training goals and training time, and adjusts the training plan in real time according to the training performance, including training difficulty, training content and training time; The feedback recording unit records the feedback content of each training, including instant feedback and personalized suggestions, records the improvements made according to the feedback, including the improvement content and improvement effect, analyzes historical feedback data, and discovers improvement trends and patterns.

2. A light weapons simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The virtual reality simulation module includes: a scene construction unit, an interactive experience unit and a device support unit; The scenario construction unit uses 3D modeling software to create realistic training scenarios, including cities, forests, and deserts, simulating natural factors in various training environments, including weather changes, terrain undulations, and obstacles, and dynamically adjusts scenarios according to training needs, including scene switching, environmental changes, and difficulty adjustments; The interactive experience unit uses virtual reality technology to provide an immersive training experience. It uses motion capture equipment to capture soldiers' movements and postures in real time and provides instant training feedback in a virtual environment, including visual prompts, voice prompts, and tactile feedback. The device support unit supports mainstream virtual reality headsets and the use of various motion controllers, including handles, gloves, and steppers, ensuring the system's compatibility with a variety of hardware devices, including sensors, cameras, and displays.

3. A light weapon simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The data analysis module includes: an algorithm unit, an analysis model unit and a report generation unit; The algorithm unit performs statistical data analysis, including mean, variance and standard deviation, provides basic training data analysis and evaluation, uses machine learning algorithms for pattern recognition and predictive analysis, and uses deep learning models to perform in-depth analysis and modeling of complex data to explore potential data patterns; The analysis model unit builds a regression model to predict design performance and training effects, provides quantitative prediction results, uses classification models to identify soldiers' design styles and habits, classifies different training modes, and groups and classifies training data through clustering models to discover clustering features and patterns in the data; The report generation unit uses chart generation tools to generate various data analysis charts and detailed text reports, including data analysis results, training performance evaluation and improvement suggestions, and flexibly customizes the report content and format according to user needs.

4. A light weapon simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The data analysis module is connected to the data acquisition module via a local area network, and the data acquisition module serves as the data input of the data analysis module; The data acquisition module includes: a sensor unit, a data acquisition device unit and a data transmission unit; The sensor unit captures the soldier's designed position and movement trajectory through a high-precision positioning system, uses environmental sensors to record temperature, humidity and wind speed data in the training environment, and monitors the soldier's physiological indicators through heart rate sensors and respiratory rate sensors; The data acquisition device unit uses portable data acquisition equipment to record the soldiers' designed movements and gun-holding postures, uses sensors installed on the shooting targets to record the hits of each shot, including the hit position and deviation, and uses high-definition cameras and video analysis technology to record and analyze video data during the shooting process in real time; The data transmission unit adopts wireless transmission technology to transmit sensor data to the data storage module in real time, and uses advanced encryption standard technology to ensure the security of data transmission.

5. A light weapon simulated shooting comprehensive information management and analysis system according to claim 4, characterized in that: The data storage module is used to manage and store the data collected by the data collection module; The data storage module includes: a database management unit, a data index unit and a data compression unit; The database management unit uses a relational database system to store structured data, including soldier information, weapon types, and training records, to support efficient data query and management. It uses a non-relational database system to store unstructured data, including videos and images, to support efficient storage and retrieval of large-scale data, and to back up data regularly, using a combination of incremental and full backup strategies to prevent data loss. The data index unit supports full-text retrieval of text data by creating indexes and optimizing query statements, using the full-text retrieval engine, building a multi-dimensional index structure, and performing efficient retrieval and analysis of multi-dimensional data; The data compression unit adopts an efficient data compression algorithm, flexibly adjusts the compression ratio according to the data type and storage requirements, balances the storage space and data access speed, and supports fast data decompression operations.

6. A light weapon simulated shooting comprehensive information management and analysis system according to claim 5, characterized in that: The data storage module is connected to the user management module via a local area network; The user management module includes: user information unit, task allocation unit and progress tracking unit; The user information unit records the soldier's basic personal information, records the soldier's historical training data, sets the user's operating authority, and controls different users' access to the system and operating authority; The task assignment unit assigns specific shooting training tasks according to the training plan and the individual conditions of the soldiers, tracks the completion of the training tasks in real time, records the progress and achievement of the tasks, and records the feedback information after the tasks are completed; The progress tracking unit tracks the soldiers' training progress in real time, records the changes in various data during the training process, queries historical training progress, analyzes the training progress, identifies training problems and deficiencies, and puts forward suggestions for improvement.

7. A light weapon simulated shooting comprehensive information management and analysis system according to claim 3, characterized in that: The data analysis module is connected to a visualization module via a local area network, and the visualization module is used to display comprehensive shooting information in real time; The visualization module includes: a graphical interface unit, a data display unit and a report display unit; The graphical interface unit provides an intuitive user operation interface, including the main interface, data display interface and analysis interface; The data display unit displays real-time changing training data, provides dynamic data display, displays aggregated training data, and supports multi-dimensional display and analysis of data, including time dimension, space dimension, and person dimension; The report display unit combines graphics and text to display comprehensive reports.

8. The light weapon simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The regression model in the analysis model unit is used to predict shooting performance and training effects, and the output variable is predicted based on the input variable. The linear regression model is: y=β0+β1x1+...+β n x n +e Among them, y is the predicted shooting score, x is i is the input variable, β i is the regression coefficient and ε is the error term.

9. The light weapon simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The classification model in the analysis model unit is used to identify the shooting style and habits of soldiers using light weapons, and classify different types of shooting data. The support vector machine classification model is: f(x)=sign(w·x+b) Among them, w is the weight vector, x is the input variable vector, and b is the bias.

10. The light weapon simulated shooting comprehensive information management and analysis system according to claim 1, characterized in that: The clustering model in the analysis model unit is used to group the training data and find the clustering features and patterns in the data. The K-means clustering model is: Where k is the number of clusters, S i is the i-th cluster, μ i is the centroid of the ith cluster.

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