Disclosure of Invention
The invention aims to provide a management analysis system for light weapon simulated shooting comprehensive information, which aims to solve the technical problems that the intelligent training timely feedback function, the shooting training simulation function, the shooting comprehensive data modeling analysis function and the user interaction result visualization function cannot be realized, so that comprehensive analysis and management on shooting process are lacking, soldiers cannot be timely and effectively fed back according to shooting conditions, shooting training cannot be timely adjusted and optimized, and the requirements of high efficiency and data management of modern training cannot be met.
The comprehensive management and analysis system comprises 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 with the intelligent feedback module through a data signal line, and 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 comprises a real-time feedback unit, a personalized suggestion unit and a feedback recording unit;
The real-time feedback unit provides instant voice feedback including hit prompts and training suggestions through the earphone, displays instant visual prompts including hit positions, hit rates and reaction time through the screen, and provides tactile feedback including hit vibration and error vibration through the vibration device;
the personalized suggestion unit provides personalized suggestions based on training data, including shooting gestures, breathing rhythms and gun holding modes, generates personalized training plans, including training contents, training targets and training time, and adjusts the training plans in real time according to training performances, including training difficulty, training contents and training time;
The feedback recording unit records feedback content of each training, including instant feedback and personalized advice, records improvement conditions according to feedback, including improvement content and improvement effect, analyzes historical feedback data, and discovers improvement trend and mode.
Preferably, the virtual reality simulation module comprises a scene construction unit, an interactive experience unit and an equipment support unit;
The scene construction unit creates a vivid training scene by using 3D modeling software, wherein the realistic training scene comprises cities, forests and deserts, simulates natural factors in various training environments, including weather changes, topography fluctuation and barriers, and dynamically adjusts the scene according to training requirements, including scene switching, environment changes and difficulty adjustment;
The interactive experience unit provides immersive training experience by using a virtual reality technology, captures actions and postures of soldiers in real time through the action capturing equipment, and provides instant training feedback in a virtual environment, wherein the instant training feedback comprises visual prompts, voice prompts and tactile feedback;
The device support unit supports mainstream virtual reality head display devices, supports the use of various motion controllers including handles, gloves and stepper, ensures compatibility of the system with various hardware devices including sensors, cameras and displays.
Preferably, the data analysis module comprises an algorithm unit, an analysis model unit and a report generation unit;
the algorithm unit performs statistical data analysis, comprising mean value, variance and standard deviation, provides basic training data analysis and evaluation, adopts a machine learning algorithm for pattern recognition and prediction analysis, performs deep analysis and modeling on complex data by using a deep learning model, and excavates potential data rules;
The analysis model unit is used for constructing a regression model for predicting design achievements and training effects, providing quantized prediction results, identifying the design styles and habits of soldiers by using a classification model, classifying different training modes, grouping and classifying training data by using a clustering model, and finding out clustering features and modes in the data;
The report generating unit generates various data analysis charts by using a chart generating tool, generates detailed text reports, comprises data analysis results, training performance evaluation and improvement suggestions, and flexibly customizes report contents and formats according to user requirements.
Preferably, the data analysis module is connected with a data acquisition module through a local area network, and the data acquisition module is used as data input of the data analysis module;
the data acquisition module comprises a sensor unit, a data acquisition device unit and a data transmission unit;
the sensor unit captures the design position and the movement track of the soldier through the high-precision positioning system, the environmental sensor is used for recording temperature, humidity and wind speed data in the training environment, and the heart rate sensor and the respiratory rate sensor are used for monitoring the physiological index of the soldier;
The data acquisition device unit adopts portable data acquisition equipment to record the design action and gun holding gesture of soldiers, utilizes an inductor arranged on a shooting target to record the hit condition of each shooting, comprises hit positions and deviations, and utilizes a high-definition camera and a video analysis technology to record and analyze video data in the shooting process in real time;
The data transmission unit adopts a wireless transmission technology to wirelessly transmit the sensor data to the data storage module in real time, and ensures the safety of data transmission by adopting an advanced encryption standard technology.
Preferably, the data storage module is used for managing and storing the data acquired by the data acquisition module;
The data storage module comprises 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, supports efficient data query and management, adopts a non-relational database system to store unstructured data, including videos and images, supports efficient storage and retrieval of large-scale data, regularly backs up the data, and adopts an incremental backup and full backup combined strategy to prevent data loss;
The data index unit is used for supporting full text retrieval of text data by creating index and optimizing query sentences and utilizing a full text retrieval engine, constructing a multi-dimensional index structure and carrying out efficient retrieval and analysis on the multi-dimensional data;
the data compression unit adopts a high-efficiency data compression algorithm, flexibly adjusts the compression ratio according to the data type and the storage requirement, balances the storage space and the data access speed, and supports the rapid data decompression operation.
Preferably, the data storage module is connected with a user management module through a local area network;
the user management module comprises a user information unit, a task allocation unit and a progress tracking unit;
the user information unit records personal basic information of the soldier, records historical training data of the soldier, sets operation authority of the user, and controls access and operation authority of different users to the system;
the task allocation unit allocates specific shooting training tasks according to training plans and individual situations of soldiers, tracks the completion situation of the training tasks in real time, records the task completion progress and the completion situation, and records feedback information after the tasks are completed;
the progress tracking unit tracks training progress of soldiers in real time, records change conditions of various data in the training process, inquires historical training progress, analyzes the training progress, discovers training problems and defects, and proposes improvement suggestions.
Preferably, the data analysis module is connected with a visualization module through a local area network, and the visualization module is used for displaying shooting comprehensive information in real time;
The visualization module comprises a graphical interface unit, a data display unit and a report display unit;
the graphic interface unit provides an intuitive user operation interface, comprising a main interface, a data display interface and an analysis interface;
the data display unit displays training data changing in real time, provides dynamic data display, displays the summarized training data, and supports multidimensional display and analysis of the data, wherein the multidimensional display and analysis comprises a time dimension, a space dimension and a character dimension;
The report presentation unit presents a comprehensive report in combination with graphics and text.
Preferably, the analysis model unit internal regression model is used for predicting shooting performance and training effect, the output variable is predicted based on the input variable, and the linear regression model is as follows:
y=β0+β1x1+...+βnxn+ε
Where y is the predicted firing performance, x i is the input variable, β i is the regression coefficient, ε is the error term.
Preferably, the classification model in the analysis model unit is used for identifying the shooting style and habit of the soldier using the light weapon, classifying the shooting data of different types, and the support vector machine classification model is as follows:
f(x)=sign(w·x+b)
Where w is the weight vector, x is the input variable vector, and b is the bias.
Preferably, the intra-analysis model unit cluster model is used for grouping training data, finding cluster features and modes in the data, and the K-means cluster model is as follows:
Where k is the number of clusters, S i is the ith cluster, and μ i is the centroid of the ith cluster.
Compared with the prior art, the invention has the beneficial effects that:
1. the intelligent feedback module is designed, so that an intelligent training and timely feedback function is realized, the technical problems of real-time monitoring and feedback of user performance are solved, customized suggestions are generated through a personalized algorithm, long-term accumulation and management of feedback information are realized through effective record management, personalized scientific training support is provided, and a user can quickly adjust training actions and strategies to improve training efficiency;
2. According to the invention, the virtual reality simulation module is designed, so that the shooting training simulation function is realized, the problems of how to construct a highly simulated training scene, realize natural interaction and equipment compatibility are solved, the realistic visual and auditory experience is provided through the advanced virtual reality technology, the user trains in the realistic virtual environment, the training effect can be obviously improved, the risk in the actual training is avoided, and the safe and flexible training environment is provided;
3. The invention realizes the modeling analysis function of shooting comprehensive data by designing the data analysis module, solves the technical problems of efficiently processing and analyzing a large amount of training data, constructing and optimizing an analysis model and generating a detailed analysis report, ensures the accuracy and reliability of data analysis, can comprehensively know the training effect and the problem by detailed data analysis, and adjusts and optimizes a scientific decision training plan and improves the effectiveness and scientificity of training;
4. the invention realizes the functions of user interaction and result visualization by designing the user management module and the visualization module, solves the problem that the shooting comprehensive information cannot be quantitatively displayed, and improves the user experience and decision optimization effect.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 and 2, the invention provides an embodiment of a light weapon simulated shooting comprehensive information management analysis system, which comprises 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 with the intelligent feedback module through a data signal line, and 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 comprises a real-time feedback unit, a personalized suggestion unit and a feedback recording unit;
The real-time feedback unit provides instant voice feedback including hit prompts and training suggestions through the earphone, displays instant visual prompts including hit positions, hit rates and reaction time through the screen, and provides tactile feedback including hit vibration and error vibration through the vibration device;
the personalized suggestion unit provides personalized suggestions based on training data, including shooting gestures, breathing rhythms and gun holding modes, generates personalized training plans, including training contents, training targets and training time, and adjusts the training plans in real time according to training performances, including training difficulty, training contents and training time;
The feedback recording unit records feedback content of each training, including instant feedback and personalized advice, records improvement conditions according to feedback, including improvement content and improvement effect, analyzes historical feedback data, and discovers improvement trend and mode;
Further, the real-time feedback unit provides real-time training guidance and improvement advice through an instant monitoring and feedback mechanism, acquires training data (such as position, heart rate and hit condition) of the soldier in real time through a sensor (such as a position sensor and a biological sensor) and a collecting device (such as a handheld device, a target sensor and a high-definition camera), transmits the data to the data analysis module, generates instant feedback information after quick processing and analysis, provides instant voice prompts for the soldier through an earphone, such as ' incorrect posture, please adjust ', ' target miss ', please retry ', and the like, displays real-time visual prompts such as hit position, hit rate, reaction time, and the like on a display screen or a head-mounted display device, and provides tactile feedback such as hit vibration and error vibration through a vibration device, so as to enhance the realism and experience of training;
The personalized advice unit provides customized training advice and plans based on the result of the analysis model unit, helps soldiers to improve training effect, acquires historical training data and real-time data from the data storage module, carries out deep analysis through the data analysis module, identifies advantages and disadvantages in training, analyzes the training data by using the regression model, the classification model and the clustering model, generates personalized training advice, uses machine learning and deep learning algorithms, generates advice according to personal performance and historical data of the soldiers, advice how the soldiers adjust shooting postures to improve hit rate, advice optimal breathing rhythm to stabilize shooting feel, provides optimization advice to enhance stability according to gun holding habits of the soldiers, and generates personalized training plans including training content, training targets and training time;
The feedback recording unit records feedback content and improvement conditions of each training in detail to form a training file of the system, helps soldiers continuously improve training effects, records instant feedback and personalized advice into a log after each training, comprises time, place, content and feedback results of the training, records the improvement conditions of the soldiers according to the feedback, comprises the improvement content, the improvement effect and the like, regularly analyzes historical feedback data, finds improvement trend and mode, provides data support and decision basis, generates comprehensive reports and displays training progress and effect of the soldiers.
Example 2
Referring to fig. 1 and 2, in one embodiment of the present invention, a system for managing and analyzing comprehensive information of simulated shooting of a small arm, the virtual reality simulation module includes a scene construction unit, an interactive experience unit, and an equipment support unit;
The scene construction unit creates a vivid training scene by using 3D modeling software, wherein the realistic training scene comprises cities, forests and deserts, simulates natural factors in various training environments, including weather changes, topography fluctuation and barriers, and dynamically adjusts the scene according to training requirements, including scene switching, environment changes and difficulty adjustment;
The interactive experience unit provides immersive training experience by using a virtual reality technology, captures actions and postures of soldiers in real time through the action capturing equipment, and provides instant training feedback in a virtual environment, wherein the instant training feedback comprises visual prompts, voice prompts and tactile feedback;
the equipment supporting unit supports mainstream virtual reality head display equipment and supports the use of various motion controllers, including handles, gloves and treadmills, so as to ensure the compatibility of the system and various hardware equipment, including sensors, cameras and displays;
Further, the scene construction unit is responsible for creating a realistic training scene, simulating an actual combat environment, designing different scene templates, such as urban combat, jungle combat, desert combat and the like, according to training requirements, creating diversified training environments by taking weather, time, topography and other factors into consideration, creating a detailed environment model by using 3D modeling software (such as Blender, maya) and the like, including buildings, vegetation, topography and the like, applying high-quality texture mapping, enhancing the fidelity of the scene, integrating physical engines (such as Unity and Unreal Engine) to perform physical simulation, such as gravity, collision, explosion and the like, realizing dynamic changes of the scene, such as weather changes, day-night alternation and the like, placing training objects, such as enemies, obstacles, targets and the like in the scene, adjusting scene parameters, such as the number of the enemies, behavior modes and the like, so as to meet different training requirements;
The interactive experience unit provides immersive training experience through the virtual reality equipment, captures actions and gestures of soldiers in real time, performs interaction, is connected with the virtual reality head display equipment (such as Oculus Rift and HTC Vive), provides immersive visual experience, is connected with the Motion capture equipment (such as Kinect and Leap Motion) to capture body actions and hand actions of the soldiers in real time, performs efficient real-time rendering by using the GPU, ensures smoothness and fidelity of pictures, recognizes actions and gestures of the soldiers in real time through the Motion capture equipment and algorithms, performs corresponding feedback in a virtual environment, provides instant visual, auditory and tactile feedback such as shooting hit, enemy counterattack, environmental change and the like, displays head-up display (HUD) in the virtual reality environment, and provides real-time training information such as ammunition residue and task targets and the like;
The device supporting unit ensures the compatibility of the virtual reality system and various hardware devices, provides a stable running environment, installs and updates the driving programs of the virtual reality head display, the motion capturing device and the input device, ensures the normal running of the device, checks and configures the device interfaces (such as USB and HDMI), ensures the compatibility and stability of the hardware devices, improves the system performance through hardware acceleration and software optimization, and ensures the smooth running of the virtual reality environment.
Example 3
Referring to fig. 1 and 2, the invention provides an embodiment of a light weapon simulated shooting comprehensive information management analysis system, wherein the data analysis module comprises an algorithm unit, an analysis model unit and a report generation unit;
the algorithm unit performs statistical data analysis, comprising mean value, variance and standard deviation, provides basic training data analysis and evaluation, adopts a machine learning algorithm for pattern recognition and prediction analysis, performs deep analysis and modeling on complex data by using a deep learning model, and excavates potential data rules;
The analysis model unit is used for constructing a regression model for predicting design achievements and training effects, providing quantized prediction results, identifying the design styles and habits of soldiers by using a classification model, classifying different training modes, grouping and classifying training data by using a clustering model, and finding out clustering features and modes in the data;
the report generating unit generates various data analysis charts by utilizing a chart generating tool, generates detailed text reports, including data analysis results, training performance evaluation and improvement suggestions, and flexibly customizes report contents and formats according to user requirements;
Further, firstly, preprocessing data, removing or correcting abnormal values, missing values and repeated data, guaranteeing data quality, carrying out standardized processing on data with different dimensions to enable the data to have the same dimensions, facilitating subsequent analysis, carrying out feature engineering on the data, including feature extraction, feature selection, feature conversion and the like, so as to improve the analysis effect of the data, calculating basic statistics of the data, such as mean value, median, standard deviation, variance and the like, knowing the basic distribution condition of the data, visually displaying the distribution and relationship of the data through a data visualization technology, such as a histogram, a scatter diagram, a box diagram and the like, and selecting proper algorithms, such as regression analysis, a classification algorithm, a clustering algorithm and the like according to the characteristics and analysis requirements of the data;
Training a regression model, a classification model and a clustering model by using historical training data, predicting, classifying and clustering new training data based on the trained model, providing accurate light weapon shooting performance prediction, identifying the shooting style and habit of a soldier using a light weapon, and finding out clustering features and modes in the data;
integrating analysis results of the regression model, the classification model and the clustering model to form a comprehensive analysis report, extracting key training indexes such as hit rate, reaction time, classification results, clustering results and the like, carrying out key display, generating various charts such as a line graph, a bar graph, a pie chart, a thermodynamic diagram and the like through a visualization technology, intuitively displaying the analysis results, carrying out text description on the analysis results, explaining meaning of each index and rules behind data, generating personalized training suggestions and improvement schemes such as adjusting shooting postures, optimizing training plans and the like, analyzing historical trends of training data, and providing long-term improvement suggestions and training strategies.
Example 4
Referring to fig. 1 and 2, in one embodiment of the present invention, a comprehensive information management analysis system for simulated shooting of a light weapon is provided, where a data analysis module is connected to a data acquisition module through a local area network, and the data acquisition module is used as data input of the data analysis module;
the data acquisition module comprises a sensor unit, a data acquisition device unit and a data transmission unit;
the sensor unit captures the design position and the movement track of the soldier through the high-precision positioning system, the environmental sensor is used for recording temperature, humidity and wind speed data in the training environment, and the heart rate sensor and the respiratory rate sensor are used for monitoring the physiological index of the soldier;
The data acquisition device unit adopts portable data acquisition equipment to record the design action and gun holding gesture of soldiers, utilizes an inductor arranged on a shooting target to record the hit condition of each shooting, comprises hit positions and deviations, and utilizes a high-definition camera and a video analysis technology to record and analyze video data in the shooting process in real time;
the data transmission unit adopts a wireless transmission technology to wirelessly transmit sensor data to the data storage module in real time, and adopts an advanced encryption standard technology to ensure the safety of data transmission;
Further, physiological sensors and motion sensors are integrated into wearing equipment (such as a smart watch and a body-building belt) of a soldier, position sensors and motion sensors are integrated onto weapons and equipment for training, and environment sensors are arranged on a training site so as to monitor environment conditions in real time, and the sensors capture physiological data, motion data, position data and environment data of the soldier in real time;
If the portable data recorder is worn on a soldier, data are collected and stored in real time, the sensor arranged on a shooting target is used for recording the hit condition of each shooting, including hit position and deviation, the high-definition camera and video analysis technology are used for recording and analyzing video data in the shooting process in real time, the data from different sensors are integrated to form uniform data flow, a real-time data monitoring interface is provided, and a coach and an administrator can check the data collection condition in real time;
The data transmission unit ensures that the collected data can be transmitted to the data analysis module and the data storage module safely in real time for subsequent analysis.
Example 5
Referring to fig. 1 and 2, in one embodiment of the present invention, a comprehensive information management and analysis system for simulated shooting of a small arm is provided, where the data storage module is connected to a user management module through a local area network;
the user management module comprises a user information unit, a task allocation unit and a progress tracking unit;
the user information unit records personal basic information of the soldier, records historical training data of the soldier, sets operation authority of the user, and controls access and operation authority of different users to the system;
the task allocation unit allocates specific shooting training tasks according to training plans and individual situations of soldiers, tracks the completion situation of the training tasks in real time, records the task completion progress and the completion situation, and records feedback information after the tasks are completed;
the progress tracking unit tracks training progress of soldiers in real time, records the change condition of each item of data in the training process, inquires the historical training progress, analyzes the training progress, finds out training problems and defects, and proposes improvement suggestions;
Further, the user information unit is responsible for managing and maintaining basic information and authority setting of a user, providing individuation and authority management support for the system, the user can log in the system through registration, personal information can be safely stored and managed, and the system can provide customized service and authority according to the role of the user;
The task allocation unit is responsible for allocating corresponding training tasks according to training requirements of users and analysis results of the system, providing task management functions, presetting a plurality of training task templates, such as basic shooting training, advanced tactical training, environment adaptation training and the like, automatically allocating proper training tasks for the users according to training data and analysis results of the users by the system, synchronizing the tasks to personal calendars of the users, and facilitating the users to check and manage training time;
The progress tracking unit is responsible for tracking training progress of a user in real time, recording training data, providing a training progress report, adjusting a training plan according to the progress, collecting training data of the user in real time through the data acquisition module, such as training time, training results, task completion conditions and the like, a coach and an administrator can monitor the training progress and performance of the user in real time through a system interface, and the system automatically detects abnormal conditions in the training progress, such as poor training effect, incomplete training tasks and the like, sends a reminding notification, and generates a training progress report including key indexes, training effect evaluation, improvement suggestions and the like.
Example 6
Referring to fig. 1 and 2, in one embodiment of the present invention, a light weapon simulated shooting comprehensive information management analysis system is provided, where the data analysis module is connected to a visualization module through a local area network, and the visualization module is used for displaying shooting comprehensive information in real time;
The visualization module comprises a graphical interface unit, a data display unit and a report display unit;
the graphic interface unit provides an intuitive user operation interface, comprising a main interface, a data display interface and an analysis interface;
the data display unit displays training data changing in real time, provides dynamic data display, displays the summarized training data, and supports multidimensional display and analysis of the data, wherein the multidimensional display and analysis comprises a time dimension, a space dimension and a character dimension;
The report display unit comprehensively displays a comprehensive report by combining the graph and the text;
Further, a user interacts with the system through the graphical interface unit, conveniently operates the system and checks a visual result, acquires the analyzed training data from the data analysis module, cleans, filters and format converts the data, ensures the accuracy and consistency of the data, selects proper chart types such as a line graph, a bar graph, a pie graph, a thermodynamic diagram and the like according to the data characteristics and the display requirements, draws a corresponding chart according to the selected chart types and the preprocessed data, configures titles, coordinate axes, legends, labels and the like of the chart, ensures the completeness and clearness of chart information, updates the chart data in real time, and ensures the user sees the latest data;
The report display unit is responsible for generating and displaying a training report, presenting the data analysis result to a user in a report form, and the user can view and export the training report through the report display unit so as to comprehensively know the training effect and the improvement suggestion;
The visualization module converts complex data into easily understood graphics and reports through the cooperation of the graphical interface unit, the data display unit and the report display unit. The graphic interface unit is responsible for designing and realizing a user interaction interface, the data display unit is responsible for intuitively displaying data in a chart form, and the report display unit is responsible for generating and displaying a detailed training report. The design of the module ensures the intuitiveness of data display and the comprehensiveness of report generation, and provides powerful data visualization support for users.
The working principle is that firstly, the system collects data such as shooting positions, environmental conditions, physiological indexes and the like of soldiers in real time through a data collection module. The handheld device and the target sensor record shooting actions, gun holding postures and hit conditions, and the high-definition camera monitors the shooting process in real time. The collected data are transmitted to the data storage module in real time through a local area network;
And then, the data analysis module processes the data by using statistical analysis, machine learning and deep learning algorithms, establishes a regression model, a classification model and a clustering model and generates a detailed data analysis report. The report generating unit can display the analysis result in the form of a chart and characters, and provides comprehensive and visual training feedback for the user;
Finally, in the training process, the system provides a realistic training scene and immersive experience through the virtual reality simulation module, captures actions and postures of soldiers in real time, and provides training guidance through instant voice feedback, visual prompt and tactile feedback. The intelligent feedback system generates personalized training advice and adjusts training plans according to the real-time data and the historical data by utilizing the data analysis result, and helps soldiers to continuously improve shooting skills. The feedback recording unit is used for recording the feedback and improvement conditions of each training in detail, carrying out historical analysis and helping soldiers to continuously improve training effects.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.