Multi-index comprehensive evaluation system for shooting training

Abstract

The invention relates to the technical field of shooting training evaluation, and particularly discloses a multi-index comprehensive evaluation system for shooting training, and the system comprises a data collection module which is used for collecting shooter information of the shooting training and collecting various data in the shooting training in real time; the data processing module is used for preprocessing and preliminarily analyzing the collected data; the data storage module is used for storing the collected data and historical data; the comprehensive evaluation module is used for carrying out comprehensive analysis on data obtained through preliminary analysis and historical data and evaluating the shooting training effect; the comprehensive evaluation module comprehensively analyzes data obtained through preliminary analysis and historical data read through the data storage module, the shooting training effect of a shooter is evaluated, and therefore the aim of accurately evaluating the shooting training effect according to multiple indexes can be achieved.

Description

Technical Field

[0001] The invention relates to the technical field of shooting training evaluation, and in particular to a multi-index comprehensive evaluation system for shooting training. Background Art

[0002] Shooting refers to the act of using various weapons to hit a target, and shooting training is a systematic exercise conducted to improve shooting skills. In live-fire shooting training, shooting data needs to be counted, and the statistical results are used to evaluate the effectiveness of live-fire shooting training.

[0003] However, the evaluation of training effects in existing technologies covers fewer factors, the evaluation methods are not scientific enough, and the existing evaluation methods do not make quantitative indicators, resulting in a lack of precision in the evaluation results. It is impossible to accurately evaluate the ability level of the shooter, which is not conducive to the training of excellent shooters. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-index comprehensive evaluation system for shooting training to solve the following technical problems:

[0005] How to accurately evaluate the shooting training effect of the shooter.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A multi-index comprehensive evaluation system for shooting training, the system comprising:

[0008] Data collection module, used to collect shooter information during shooting training, and to collect various data during shooting training in real time;

[0009] Data processing module, used for preprocessing and preliminary analysis of collected data;

[0010] Data storage module, used to store collected data and historical data;

[0011] The comprehensive evaluation module is used to conduct a comprehensive analysis of the data obtained from the preliminary analysis and historical data, and to evaluate the effectiveness of shooting training.

[0012] Furthermore, the data acquisition module includes:

[0013] A face recognition unit, used to intelligently identify shooters in shooting training;

[0014] The shooting data collection unit is used to continuously collect the influencing factors corresponding to various evaluation indicators in shooting training.

[0015] Furthermore, the shooting data acquisition unit comprises:

[0016] The CCD camera is used to capture the location of the bullet falling on the target during the shooter's shooting training;

[0017] The acceleration sensor is installed on the training gun to collect the gun shaking frequency during the shooter's shooting training and the muzzle shaking amplitude at the moment the bullet is fired;

[0018] The timer is used to collect the duration of each shooting action during the shooter's shooting training.

[0019] Furthermore, the data processing module performs preprocessing and preliminary analysis on the collected data:

[0020] S1. Receive data collected by the data acquisition module, including shooter information obtained by the face recognition unit, the location of the bullet falling on the target collected by the CCD camera, the gun shaking frequency collected by the acceleration sensor and the muzzle shaking amplitude at the moment the bullet is fired, and the duration of each shooting action collected by the timer;

[0021] S2. Clean, convert and proofread the received data, and integrate the collected data along the time axis;

[0022] S3. Preliminary analysis of the integrated data was performed to obtain data on the change in gun shaking frequency over time during the shooter's shooting training, the time interval from receiving the command to starting to shoot, the number of rings of each shot landing on the target, the time interval between adjacent shots, and the amplitude of the gun muzzle shaking after the shot.

[0023] Furthermore, the process of conducting a comprehensive analysis of the data obtained from the preliminary analysis and the historical data includes:

[0024] H c =ΔQ / R c (1)

[0025] The evaluation parameter H of the shooter's shooting training is obtained by calculation and analysis through formula (1): c ;

[0026] Among them, ΔQ is the deviation characteristic value of the shooter's current shooting training compared with historical data, R c It is the comprehensive score of the shooter in this shooting training.

[0027] Furthermore, the process of obtaining the deviation characteristic value of the shooter's current shooting training compared with historical data includes:

[0028]

[0029] The deviation characteristic value ΔQ between the shooter’s current shooting training and historical data is obtained through calculation and analysis of formulas (2)-(3);

[0030] Among them, the shooting training data for evaluation and comparison has N items, i∈[1,N], ΔW i is the difference between the evaluation value of the i-th shooting training data and the evaluation value of the historical data, ω i is the stability correction coefficient of the i-th shooting training data, is the weight coefficient corresponding to the i-th shooting training data, E i is the evaluation value of the shooter’s ith shooting training data in this shooting training, It is the average evaluation value of the i-th shooting training data in the shooter’s historical shooting training.

[0031] Furthermore, the process of obtaining the comprehensive score of the shooter in this shooting training includes:

[0032]

[0033] The comprehensive score R of the shooter's shooting training is obtained by calculation and analysis through formula (4): c ;

[0034] Among them, τ i is the weight coefficient of the comprehensive score corresponding to the evaluation value of the i-th shooter's shooting training data.

[0035] Furthermore, the process of evaluating the shooting effect includes:

[0036] The evaluation parameter H of the shooter in this shooting training c Compare with the preset evaluation parameter threshold [0,H1];

[0037] If H c <0, judging that the shooter’s recent shooting training is not effective;

[0038] If H c ∈[0,H1], judging that the shooter’s recent shooting training effect is normal;

[0039] If H c ≥H1, it is judged that the shooter’s recent shooting training has been effective.

[0040] Beneficial effects of the present invention:

[0041] (1) The present invention collects shooter information of shooting training through a data acquisition module, and collects various data in shooting training in real time, then pre-processes and preliminarily analyzes the collected data through a data processing module, and stores the preliminarily analyzed data in a data storage module. Finally, a comprehensive evaluation module performs a comprehensive analysis on the data obtained through the preliminary analysis and the historical data read through the data storage module, and evaluates the effect of the shooter's shooting training. In this way, the purpose of accurately evaluating the effect of shooting training based on multiple indicators can be achieved.

[0042] (2) The present invention uses formulas (1)-(4) to calculate and analyze to obtain the evaluation parameter H of the shooter's current shooting training: c , and compare it with the preset evaluation parameter threshold [0, H1], which can achieve the purpose of conducting a comprehensive analysis based on multiple indicators and accurately evaluating the shooter's shooting training effect, thereby judging the shooter's recent shooting training effect, which is conducive to cultivating excellent shooters. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 It is a schematic block diagram of a multi-index comprehensive evaluation system for shooting training proposed by the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] See also Figure 1 As shown, in one embodiment, a multi-index comprehensive evaluation system for shooting training is provided, the system comprising:

[0047] Data collection module, used to collect shooter information during shooting training, and to collect various data during shooting training in real time;

[0048] Data processing module, used for preprocessing and preliminary analysis of collected data;

[0049] Data storage module, used to store collected data and historical data;

[0050] The comprehensive evaluation module is used to conduct a comprehensive analysis of the data obtained from the preliminary analysis and historical data, and to evaluate the effectiveness of shooting training.

[0051] The data acquisition module comprises:

[0052] A face recognition unit, used to intelligently identify shooters in shooting training;

[0053] The shooting data collection unit is used to continuously collect the influencing factors corresponding to various evaluation indicators in shooting training.

[0054] The shooting data acquisition unit comprises:

[0055] The CCD camera is used to capture the location of the bullet falling on the target during the shooter's shooting training;

[0056] The acceleration sensor is installed on the training gun to collect the gun shaking frequency during the shooter's shooting training and the muzzle shaking amplitude at the moment the bullet is fired;

[0057] The timer is used to collect the duration of each shooting action during the shooter's shooting training.

[0058] The data processing module performs preprocessing and preliminary analysis on the collected data:

[0059] S1. Receive data collected by the data acquisition module, including shooter information obtained by the face recognition unit, the location of the bullet falling on the target collected by the CCD camera, the gun shaking frequency collected by the acceleration sensor and the muzzle shaking amplitude at the moment the bullet is fired, and the duration of each shooting action collected by the timer;

[0060] S2. Clean, convert and proofread the received data, and integrate the collected data along the time axis;

[0061] S3. Preliminary analysis of the integrated data was performed to obtain data on the change in gun shaking frequency over time during the shooter's shooting training, the time interval from receiving the command to starting to shoot, the number of rings of each shot landing on the target, the time interval between adjacent shots, and the amplitude of the gun muzzle shaking after the shot.

[0062] Through the above technical scheme, this embodiment provides a multi-index comprehensive evaluation system for shooting training, which includes a data acquisition module, a data processing module, a data storage module, and a comprehensive evaluation module. The data acquisition module is first used to collect shooter information of shooting training, and various data in shooting training are collected in real time. Then, the data processing module is used to preprocess and preliminarily analyze the collected data, and the preliminarily analyzed data is stored in the data storage module. Finally, the comprehensive evaluation module conducts a comprehensive analysis on the data obtained from the preliminary analysis and the historical data read by the data storage module, and evaluates the effect of the shooter's shooting training this time. In this way, the purpose of accurately evaluating the shooting training effect according to multiple indicators can be achieved.

[0063] Among them, the data acquisition module includes a face recognition unit and a shooting data acquisition unit. The face recognition unit can be used to intelligently identify shooters in shooting training, so that the data obtained by the preliminary analysis of the data processing module is stored in the data storage module, and the comprehensive evaluation module reads the historical data of the corresponding shooter in the data storage module. The shooting data acquisition unit can be used to continuously collect the influencing factors corresponding to various evaluation indicators in shooting training, including but not limited to: a CCD camera for collecting the landing position of the bullet falling on the target during the shooter's shooting training; an acceleration sensor installed on the training gun for collecting the gun shaking frequency during the shooter's shooting training and the muzzle shaking amplitude at the moment the bullet is fired; a timer for collecting the duration of each shooting action during the shooter's shooting training, etc.

[0064] The process of preprocessing and preliminarily analyzing the collected data through the data processing module includes: first receiving the data collected by the data acquisition module, the collected data includes but is not limited to the shooter information obtained by the face recognition unit, the landing point of the bullet on the target collected by the CCD camera, the gun shaking frequency collected by the acceleration sensor and the muzzle shaking amplitude at the moment the bullet is fired, the duration of each shooting action collected by the timer, etc., then cleaning, converting and proofreading the received data, and integrating and sorting the proofread data along the time axis, and finally preliminarily analyzing the integrated data to obtain various quantitative indicator data used for evaluation during the shooter's shooting training, including but not limited to: the curve of the shooter's gun shaking frequency changing with time, the time interval from receiving the command to starting to shoot, the number of landing points of each shot on the target, the time interval between adjacent shots, the muzzle shaking amplitude after shooting, etc.

[0065] In one embodiment, the process of comprehensively analyzing the data obtained from the preliminary analysis and the historical data includes:

[0066] H c =ΔQ / R c (1)

[0067] The evaluation parameter H of the shooter's shooting training is obtained by calculation and analysis through formula (1): c ;

[0068] Among them, ΔQ is the deviation characteristic value of the shooter's current shooting training compared with historical data, R c It is the comprehensive score of the shooter in this shooting training.

[0069] The process of obtaining the deviation characteristic value of the shooter's current shooting training compared with historical data includes:

[0070]

[0071] The deviation characteristic value ΔQ between the shooter’s current shooting training and historical data is obtained through calculation and analysis of formulas (2)-(3);

[0072] Among them, there are N items of shooting training data for evaluation and comparison, and the specific items of shooting training data are not limited to hit rate evaluation value, shooting accuracy evaluation value, shooting speed evaluation value, shooting reaction speed evaluation value, gun holding stability evaluation value, shooting stability evaluation value, anti-interference evaluation value, etc., i∈[1,N], ΔW i is the difference between the evaluation value of the i-th shooting training data and the evaluation value of the historical data, ω i is the stability correction coefficient of the i-th shooting training data, which can be obtained by preset experience and is specifically related to the volatility of the evaluation values ​​of different items. For example, the shooting speed evaluation value of the shooter is the average time interval evaluation value between each shot during the shooter's continuous shooting process. For a single shooting training of a shooter, the numerical volatility of this evaluation value is generally small, so the stability correction coefficient corresponding to this evaluation value can be preset to 1. For example, the shooting reaction speed evaluation value of the shooter is the time interval evaluation value from the shooter receiving the shooting command to starting to shoot. For a single shooting training of a shooter, the numerical volatility of this evaluation value is generally large, so the stability correction coefficient corresponding to this evaluation value can be preset to 0.1. is the weight coefficient corresponding to the i-th shooting training data, which can be obtained by preset experience and is related to the difficulty of increasing the evaluation value of each shooting training data during the shooting training process. i is the evaluation value of the i-th shooting training data in this shooting training of the shooter, which can be obtained by reading the shooting training data according to the model completed by the convolutional neural network training. It should be noted that in this application, the lower the score, the better, and the higher the score, the worse. This is convenient for setting the evaluation standards of each evaluation value more reasonably. For example, for setting the shooting speed evaluation value, the evaluation value corresponding to the shooter's 0.1S reaction shooting time can be set to 1, and the evaluation value corresponding to the 1S reaction shooting time can be set to 10. As the reaction shooting time increases, its corresponding evaluation value increases. It is the average evaluation value of the i-th shooting training data in the shooter's historical shooting training, which can be obtained by reading the shooter's historical shooting training data.

[0073] The process of obtaining the comprehensive score of the shooter in this shooting training includes:

[0074]

[0075] The comprehensive score R of the shooter's shooting training is obtained by calculation and analysis through formula (4): c ;

[0076] Among them, τ iis the weight coefficient of the comprehensive score corresponding to the evaluation value of the i-th shooter's shooting training data, which can be obtained by preset experience and is specifically related to the importance of each evaluation value in the shooting process.

[0077] The process of evaluating the effectiveness of a shooting includes:

[0078] The evaluation parameter H of the shooter in this shooting training c Compare with the preset evaluation parameter threshold [0,H1];

[0079] If H c <0, judging that the shooter’s recent shooting training is not effective;

[0080] If H c ∈[0,H1], judging that the shooter’s recent shooting training effect is normal;

[0081] If H c ≥H1, it is judged that the shooter’s recent shooting training has been effective.

[0082] Through the above technical solution, this embodiment provides a method for evaluating the shooting training effect of a shooter, and the evaluation parameter H of the shooter's current shooting training is obtained by calculation and analysis through formulas (1)-(4): c , compare it with the preset evaluation parameter threshold [0, H1]; if H c <0, it is judged that the shooter’s recent shooting training effect is poor, indicating that the shooter may have problems with slacking off or being lazy in shooting training recently; if H c ∈[0,H1], it is judged that the shooter's recent shooting training effect is normal, which means that the shooter's recent shooting training effect is normal or he has not conducted targeted training on his shortcomings in the shooting process recently; if H c ≥H1, it is judged that the shooter's recent shooting training effect is good, which means that the shooter's recent shooting training effect is good or the shooter has recently carried out targeted training on his shortcomings in the shooting process. Through this evaluation method, a comprehensive analysis can be conducted based on multiple indicators to accurately evaluate the shooter's shooting training effect, and the shooter's recent shooting training effect can be judged, which is conducive to cultivating excellent shooters.

[0083] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A multi-index comprehensive evaluation system for shooting training, characterized in that: The system comprises: Data collection module, used to collect shooter information during shooting training, and to collect various data during shooting training in real time; Data processing module, used for preprocessing and preliminary analysis of collected data; Data storage module, used to store collected data and historical data; The comprehensive evaluation module is used to conduct a comprehensive analysis of the data obtained from the preliminary analysis and historical data, and to evaluate the effectiveness of shooting training.

2. A multi-index comprehensive evaluation system for shooting training according to claim 1, characterized in that: The data acquisition module comprises: A face recognition unit, used to intelligently identify shooters in shooting training; The shooting data collection unit is used to continuously collect the influencing factors corresponding to various evaluation indicators in shooting training.

3. A multi-index comprehensive evaluation system for shooting training according to claim 2, characterized in that: The shooting data acquisition unit comprises: The CCD camera is used to capture the location of the bullet falling on the target during the shooter's shooting training; The acceleration sensor is installed on the training gun to collect the gun shaking frequency during the shooter's shooting training and the muzzle shaking amplitude at the moment the bullet is fired; The timer is used to collect the duration of each shooting action during the shooter's shooting training.

4. A multi-index comprehensive evaluation system for shooting training according to claim 3, characterized in that: The data processing module performs preprocessing and preliminary analysis on the collected data: S1. Receive data collected by the data acquisition module, including shooter information obtained by the face recognition unit, the location of the bullet falling on the target collected by the CCD camera, the gun shaking frequency collected by the acceleration sensor and the muzzle shaking amplitude at the moment the bullet is fired, and the duration of each shooting action collected by the timer; S2. Clean, convert and proofread the received data, and integrate the collected data along the time axis; S3. Preliminary analysis of the integrated data was performed to obtain data on the change in gun shaking frequency over time during the shooter's shooting training, the time interval from receiving the command to starting to shoot, the number of rings of each shot landing on the target, the time interval between adjacent shots, and the amplitude of the gun muzzle shaking after the shot.

5. A multi-index comprehensive evaluation system for shooting training according to claim 4, characterized in that: The process of comprehensive analysis of the data obtained from the preliminary analysis and historical data includes: H c =ΔQ / R c (1) The evaluation parameter H of the shooter's shooting training is obtained by calculation and analysis through formula (1): c ; Among them, ΔQ is the deviation characteristic value of the shooter's current shooting training compared with historical data, R c It is the comprehensive score of the shooter in this shooting training.

6. A multi-index comprehensive evaluation system for shooting training according to claim 5, characterized in that: The process of obtaining the deviation characteristic value of the shooter's current shooting training compared with historical data includes: The deviation characteristic value ΔQ between the shooter’s current shooting training and historical data is obtained through calculation and analysis of formulas (2)-(3); Among them, the shooting training data for evaluation and comparison has N items, i∈[1,N], ΔW i is the difference between the evaluation value of the i-th shooting training data and the evaluation value of the historical data, ω i is the stability correction coefficient of the i-th shooting training data, is the weight coefficient corresponding to the i-th shooting training data, E i is the evaluation value of the shooter’s ith shooting training data in this shooting training, It is the average evaluation value of the i-th shooting training data in the shooter’s historical shooting training.

7. A multi-index comprehensive evaluation system for shooting training according to claim 6, characterized in that: The process of obtaining the comprehensive score of the shooter in this shooting training includes: The comprehensive score R of the shooter's shooting training is obtained by calculation and analysis through formula (4): c ; Among them, τ i is the weight coefficient of the comprehensive score corresponding to the evaluation value of the i-th shooter's shooting training data.

8. A multi-index comprehensive evaluation system for shooting training according to claim 7, characterized in that: The process of evaluating the effectiveness of a shooting includes: The evaluation parameter H of the shooter's shooting training c Compare with the preset evaluation parameter threshold [0,H1]; If H c <0, judging that the shooter’s recent shooting training is not effective; If H c ∈[0,H1], judging that the shooter’s recent shooting training effect is normal; If H c ≥H1, it is judged that the shooter’s recent shooting training has been effective.

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