CN114413686A - Shooting score analysis method, device, equipment and storage medium - Google Patents

Shooting score analysis method, device, equipment and storage medium Download PDF

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CN114413686A
CN114413686A CN202111645331.7A CN202111645331A CN114413686A CN 114413686 A CN114413686 A CN 114413686A CN 202111645331 A CN202111645331 A CN 202111645331A CN 114413686 A CN114413686 A CN 114413686A
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bullet
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CN114413686B (en
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汤家兴
王珏
胡昌明
潘红平
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Hangzhou Chenying Juntai Technology Co ltd
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Hangzhou Chenying Juntai Technology Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41WEAPONS
    • F41JTARGETS; TARGET RANGES; BULLET CATCHERS
    • F41J5/00Target indicating systems; Target-hit or score detecting systems
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41WEAPONS
    • F41AFUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
    • F41A33/00Adaptations for training; Gun simulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results

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  • Aiming, Guidance, Guns With A Light Source, Armor, Camouflage, And Targets (AREA)

Abstract

The application discloses a shooting score analysis method, which comprises the steps of collecting real-time shooting data, wherein the real-time shooting data comprises shooting result parameters and shooting personnel physiological data; analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result; displaying a shooting analysis result; the bullet hole distribution center algorithm comprises the steps of constructing auxiliary circles by taking a shooting bullet hole as a circle center and using a preset radius, and calculating first intersection points of all the auxiliary circles; analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into the auxiliary circles; calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes; the bullet holes outside the scattering circle are filtered, the coordinate average value of the bullet holes in the scattering circle is calculated and used as a bullet hole scattering center, the relation between shooting scores and relevant factors can be analyzed, training is assisted to be improved, and the training level is improved. The application also discloses a shooting result analysis device, equipment and a storage medium.

Description

Shooting score analysis method, device, equipment and storage medium
Technical Field
The invention belongs to the technical field of shooting equipment, and particularly relates to a shooting result analysis method, a shooting result analysis device, shooting result analysis equipment and a storage medium.
Background
The current shooting result analysis only analyzes the number of shooting rings and the distribution direction of the bullet holes, the collected data is too little during shooting, the causal relationship of the number of the shooting rings cannot be analyzed, the historical shooting result trend cannot be visually compared, the bullet holes are distributed by manual calculation, the workload is huge, and the precision is not high.
Disclosure of Invention
In order to solve the problems, the invention provides a shooting result analysis method, a shooting result analysis device, shooting result analysis equipment and a storage medium, which can analyze the relation between the shooting result and relevant factors, assist in improving a training method and improve the training level.
The shooting result analysis method provided by the invention comprises the following steps:
collecting real-time shooting data, wherein the real-time shooting data comprises shooting result parameters and shooting personnel physiological data;
analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result;
displaying the shooting analysis result;
wherein the bullet hole distribution center algorithm comprises:
constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses, and calculating first intersection points of all the auxiliary circles;
analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles;
calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes;
and filtering the bullet holes outside the scattering circle, and calculating the coordinate average value of the bullet holes in the scattering circle as the scattering center of the bullet holes.
Preferably, in the above shooting result analyzing method, the acquiring real-time shooting data further includes:
environmental data including ambient temperature, wind direction, wind speed and air pressure at the time of shooting are collected using a weather station.
Preferably, in the shooting result analysis method, the shooting result parameters are collected by an image recognition device, and the shooting result parameters include shooting time, the result ring number, the coordinates of an X axis of a bullet hole and the coordinates of a Y axis of the bullet hole.
Preferably, in the shooting result analysis method, the wearable device is used to collect the physiological data of the shooter, including the body temperature, heart rate and blood pressure of the shooter at the time of shooting.
Preferably, the shooting result analysis method further includes:
sampling time, X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angle, Y-axis angle and Z-axis angle when utilizing the gyroscope installed on the gun to gather the shooting utilize muzzle shake waveform filtering algorithm to carry out analysis to holding rifle stability, wherein, muzzle shake waveform filtering algorithm includes:
acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting according to each shooting time;
performing difference on every two adjacent displacement data to obtain an absolute value of displacement variation, and converting the displacement data of the gyroscope into a muzzle vibration amplitude;
filtering out data of sudden change in the muzzle vibration amplitude, calculating average values of the amplitudes before and after shooting respectively, and forming a stacked bar chart by the average amplitude data of each gun;
the gun holding stability was analyzed using the height of the stacked bar graph.
The present invention provides a shooting result analysis device, including:
the shooting device comprises a first acquisition component, a second acquisition component and a shooting component, wherein the first acquisition component is used for acquiring real-time shooting data, and the real-time shooting data comprises shooting result parameters and shooting personnel physiological data;
the analysis component is used for analyzing the real-time shooting data by utilizing a bullet hole distribution center algorithm to obtain a shooting analysis result;
a display unit for displaying the shooting analysis result;
wherein the analysis component comprises:
the first calculation unit is used for constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses and calculating first intersection points of all the auxiliary circles;
the analysis unit is used for analyzing the intersection of each first intersection point and all the auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles;
the second calculation unit is used for calculating and obtaining the centers of all the second intersection points as the center points of the scattered circles which can circle the most elastic holes;
and the third calculation unit is used for filtering the bullet holes outside the scattering circle, calculating the coordinate average value of the bullet holes in the scattering circle and obtaining the bullet hole scattering center.
Preferably, in the shooting result analyzing apparatus, a second collecting unit is further included for collecting environmental data including a temperature, a wind direction, a wind speed, and a barometric pressure of an environment at the time of shooting from the weather station.
Preferably, in the above shooting result analyzing apparatus, a third collecting unit is further included, which is configured to collect a sampling time, an X-axis acceleration, a Y-axis acceleration, a Z-axis acceleration, an X-axis angle, a Y-axis angle, and a Z-axis angle at the time of shooting from a gyroscope mounted on a gun, and analyze the gun holding stability by using a muzzle shake waveform filtering algorithm, where the third collecting unit includes:
the displacement data acquisition unit is used for acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting time according to each shooting time;
the displacement variation calculation unit is used for subtracting every two adjacent displacement data to obtain the absolute value of the displacement variation and converting the displacement data of the gyroscope into a muzzle vibration amplitude;
the stacking column graph forming unit is used for filtering data of sudden change in the muzzle vibration amplitude, calculating average values of the amplitudes before and after shooting respectively, and forming a stacking column graph by the average amplitude data of each gun;
and the gun holding stability analysis unit is used for analyzing the gun holding stability by utilizing the height of the stacked column diagram.
A shooting result analyzing apparatus provided by the present invention includes:
a memory for storing a computer program;
a processor for implementing the steps of the shooting achievement analysis method according to any one of the above when the computer program is executed.
The invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the shooting performance analysis method according to any one of the above.
According to the above description, the shooting result analysis method provided by the invention includes acquiring real-time shooting data, wherein the real-time shooting data includes shooting result parameters and shooting person physiological data; analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result; displaying the shooting analysis result; wherein the bullet hole distribution center algorithm comprises: constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses, and calculating first intersection points of all the auxiliary circles; analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles; calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes; the bullet holes outside the scattering circle are filtered, the coordinate average value of the bullet holes in the scattering circle is calculated and serves as the bullet hole scattering center, so that the scheme integrates various factors influencing shooting, the shooting result is more accurately analyzed, the relation between the shooting result and the relevant factors can be analyzed, the training method is assisted to be improved, and the training level is improved. The shooting result analyzing device, the shooting result analyzing equipment and the storage medium have the same advantages as the method, and are not described in detail herein.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of an embodiment of a shooting result analysis method provided in the present invention;
FIG. 2 is a schematic diagram of the results of a shot;
FIG. 3 is a schematic diagram of the construction of an auxiliary circle;
FIG. 4 is a schematic view of the center point of the found dispersion circle;
FIG. 5 is a schematic view of shot scatter;
FIG. 6 is a schematic diagram of shooter power distribution;
FIG. 7 is a diagram illustrating the relationship between ambient temperature and performance;
FIG. 8 is a schematic diagram of wind direction and score relationship;
fig. 9 is a schematic diagram of an embodiment of a shooting result analysis apparatus provided in the present invention;
fig. 10 is a schematic diagram of an embodiment of a shooting result analysis apparatus provided in the present invention.
Detailed Description
The core of the invention is to provide a shooting result analysis method, a shooting result analysis device, shooting result analysis equipment and a storage medium, which can analyze the relation between the shooting result and relevant factors, assist in improving a training method and improve the training level.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 shows an embodiment of a shooting result analysis method provided by the present invention, where fig. 1 is a schematic diagram of an embodiment of a shooting result analysis method provided by the present invention, and the method may include the following steps:
s1: collecting real-time shooting data, wherein the real-time shooting data comprises shooting result parameters and shooting personnel physiological data;
specifically, the number of rings and the distribution of the bullet holes of the shooting can be collected by a computer, the wearable equipment such as a bracelet can be used for collecting parameters such as blood pressure, body temperature and heart rate of the shooter, the data can be acquired at intervals of one minute, the data can be collected from the beginning of the shooting training to the end of the training, the correlation characteristics between the physiological data of the shooter and the shooting result parameters can be conveniently analyzed, the target type, the shooting posture, the gun type and the like of the shooting training can be collected according to actual requirements, the relation among the data is presented to the user through comprehensive analysis, the user can conveniently understand and improve the shooting training scheme, the shooting level is quantized, the shooting capability of each participant can be conveniently compared, and different sensors can be adopted for collecting various data, different short-range wireless communication modes including Bluetooth, Wi-Fi and the like are used for uploading data to an analysis platform for unified analysis through a transfer platform such as a field handheld terminal, a gateway and the like.
S2: analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result;
s3: displaying a shooting analysis result;
specifically, the training data can be classified by the computer according to the shooting distance, the shooting target type, the gun type and the shooting posture, and then the training result, the history comparison and the training suggestion are displayed by the display screen of the computer.
The core of the bullet hole distribution center algorithm is the maximum points which can be covered by the distributed bullet holes in a circle with a fixed size, the points are distribution points, and the others are excluded, and the method specifically comprises the following substeps:
s21: constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses, and calculating first intersection points of all the auxiliary circles;
specifically, referring to fig. 2 and 3, fig. 2 is a schematic view of the shot result, and fig. 3 is a schematic view of constructing auxiliary circles, wherein the red region, i.e., the shot hole, and the blue region, i.e., the first intersection point of all the auxiliary circles, are predetermined radii, i.e., radii corresponding to the maximum scattering areas.
S22: analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles;
referring to fig. 4, fig. 4 is a schematic view of the center point of the found dispersion circle, wherein the green dot represents the second intersection point.
S23: calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes;
with continuing reference to fig. 4 and with further reference to fig. 5, fig. 5 is a schematic view of the shot scatter point, the orange dot in fig. 4 representing the center of the second intersection point, and the circle circled in yellow in fig. 5 being the scatter circle with the most ammunition holes.
S24: and filtering the bullet holes outside the dispersion circle, and calculating the coordinate average value of the bullet holes in the dispersion circle as the bullet hole dispersion center.
That is to say, the coordinates of 5 bullet holes in the area out of the yellow circle in fig. 5 are averaged to find the bullet hole distribution center, so that the bullet hole distribution center can be used as the basis for analyzing the shooting result of the shooter, the obtained bullet hole distribution center reflects the shooting habit of the shooter, and the shooter can be guided to carry out gun correction. The steps can be automatically realized by a computer without manual operation, so that the labor cost is reduced, and the analysis efficiency is greatly improved.
As can be seen from the above description, in the embodiment of the shooting result analysis method provided by the present invention, the real-time shooting data is acquired, and the real-time shooting data includes shooting result parameters and physiological data of shooting personnel; analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result; displaying a shooting analysis result; wherein, the bullet hole distribution center algorithm comprises the following steps: constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses, and calculating first intersection points of all the auxiliary circles; analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles; calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes; the bullet holes outside the scattering circle are filtered, the coordinate average value of the bullet holes in the scattering circle is calculated and serves as a bullet hole scattering center, so that various factors influencing shooting are integrated in the scheme, the shooting result is more accurately analyzed, the relation between the shooting result and the relevant factors can be analyzed, the training method is assisted to be improved, and the training level is improved.
In a specific embodiment of the above shooting result analyzing method, the acquiring real-time shooting data may further include the following steps:
environmental data including ambient temperature, wind direction, wind speed and air pressure at the time of shooting are collected using a weather station. In particular, the sampling time of these data is also recorded in real time, and the data may be, but is not limited to, acquired every one minute, from the beginning of training to the end of training,
in another specific embodiment of the above shooting result analyzing method, shooting result parameters may be collected by using an image recognition device, and the shooting result parameters include shooting time, result ring number, coordinates of an X axis of a bullet hole, and coordinates of a Y axis of the bullet hole. It should be noted that shooting personnel corresponding to the parameters can also be corresponded, wherein the shooting time is the time when the bullet holes appear on the target surface, the shooting time can be detected and recorded by a video image recognition technology, the score ring number can be calculated and obtained through coordinate information obtained by the image recognition technology, the X-axis coordinate of the bullet holes and the Y-axis coordinate of the bullet holes can be obtained through the image recognition technology, the pixel coordinates are normalized and converted into relative coordinates relative to the target paper, the coordinates can be 0 point at the upper left corner and range from 0 to 1, and shooting personnel information can be provided by a training plan of the round of shooting.
In another embodiment of the shooting performance analysis method, the wearable device can be used for collecting physiological data of the shooter, including the body temperature, the heart rate and the blood pressure of the shooter at the time of shooting.
In a preferred embodiment of the above shooting result analyzing method, the method may further include the steps of:
sampling time, X axle acceleration, Y axle acceleration, Z axle acceleration, X axle angle, Y axle angle and Z axle angle when utilizing the gyroscope of installing on the gun to gather the shooting utilize muzzle shake waveform filter algorithm to hold rifle stability and carry out the analysis, and wherein, muzzle shake waveform filter algorithm includes:
acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting according to each shooting time;
making difference between every two adjacent displacement data, solving the absolute value of displacement variation, and converting the displacement data of the gyroscope into muzzle vibration amplitude;
filtering out data of sudden change in muzzle vibration amplitude, respectively calculating average values of the amplitude before and after shooting, and forming a stacked bar chart by the average amplitude data of each gun;
gun holding stability was analyzed using height of stacked histograms.
It should be noted that the total height of the stacked bar chart reflects the overall shooting stability, each region reflects the stability before and after shooting, and the muzzle shaking waveform filtering algorithm can reflect the overall shooting stability of the shooter by analyzing the muzzle shaking data within a certain time.
It should be noted that the gyroscope may collect the data every 5 milliseconds, as much as possible, to collect the change in the state of the firearm from the time the shooter activates the trigger to the time the bullet is fired.
For one-time shooting training, comprehensive scoring can be performed according to five dimensions of shooting score fraction, gun holding stability, score stability, bullet hole concentration and body state to form a shooter capacity radar map, as shown in fig. 6, and fig. 6 is a shooter capacity distribution schematic diagram. Wherein, the shooting score is calculated by dividing the total number of rings by the number of full rings, and the gun holding stability is calculated by the shooting stability according to the empirical formula:
f(x)=(100-x)/100
the range of x is (0-100), the score stability is calculated as (f) (10-standard deviation per gun)/10) 100, the shot concentration is calculated as (maximum distance-distance between the shot scattering center and each shot point)/maximum distance 100, and the body state is calculated as whether the heart rate stability and the body temperature and blood pressure are in the normal range when the shooter shoots.
And historical data can be integrated to construct graphs such as the relationship between temperature and achievement, the relationship between wind direction and achievement, the relationship between air pressure and achievement and the like according to environment information, and reference is made to fig. 7 and 8, wherein fig. 7 is a schematic diagram of the relationship between environment temperature and achievement, and fig. 8 is a schematic diagram of the relationship between wind direction and achievement, so that a shooter can be assisted to arrange a reasonable training plan.
In addition, the relation between the shooting performance in the near period and other factors can be selected and analyzed, the training record with the shooting performance lower than the average performance is selected, more obvious information in other factors is found out in the record, a plurality of indexes which need to be noticed by the shooter are prompted, and the next training of the shooter is guided.
In conclusion, by acquiring more data during shooting training, the reasons of the influence of the shooting level can be known in more dimensions, the shooting levels of different players can be quantitatively shown through digital modeling, and the work load of an analyst is greatly reduced by calculating data such as a bullet hole distribution center and the like through an algorithm.
Fig. 9 shows an example of a shooting result analysis apparatus according to the present invention, and fig. 9 is a schematic view of an example of a shooting result analysis apparatus according to the present invention, and the apparatus may include:
the first collecting component 901 is used for collecting real-time shooting data, the real-time shooting data comprises shooting result parameters and shooting person physiological data, specifically, the number of rings and bullet hole distribution of shooting can be collected, wearable equipment such as a bracelet can be used for collecting parameters such as blood pressure, body temperature and heart rate of the shooting person, the data can be obtained but not limited to once every minute, the data are collected from the beginning of shooting training to the end of training, so that the correlation characteristics between the physiological data of the shooting person and the shooting result parameters can be conveniently analyzed, the target type, the shooting posture, the gun type and the like of the shooting training can be collected according to actual requirements, the relation among the data is presented to a user through comprehensive analysis, the user can conveniently understand and improve the shooting training scheme, the shooting level is quantified, and the shooting abilities of various training persons can be conveniently compared, it should be further noted that different sensors can be adopted to collect various data, and different short-range wireless communication modes including bluetooth, Wi-Fi and the like are used to upload the data to an analysis platform for unified analysis through a transfer platform such as a field handheld terminal, a gateway and the like;
the analysis component 902 is used for analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result;
a display part 903, which is used for displaying the shooting analysis result, specifically, classifying the training data according to the shooting distance, the shooting target type, the gun model and the shooting posture, and displaying the training result, the history comparison and the training suggestion;
among other things, the analysis component 902 can include:
the first calculation unit is used for constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses and calculating first intersection points of all the auxiliary circles;
the analysis unit is used for analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into the auxiliary circles;
the second calculating unit is used for calculating and obtaining the centers of all the second intersection points as the center points of the scattered circles which can circle the most elastic holes;
and the third calculation unit is used for filtering the bullet holes outside the dispersion circle, calculating the coordinate average value of the bullet holes in the dispersion circle and obtaining the bullet hole dispersion center.
In summary, the above-mentioned scheme of the shooting result analysis device integrates a plurality of factors affecting shooting, and the analysis of the shooting result is more accurate, so that the relationship between the shooting result and the related factors can be analyzed, the training method can be improved in an auxiliary manner, and the training level can be improved.
In a specific embodiment of the above shooting performance analyzing apparatus, the shooting performance analyzing apparatus further comprises a second collecting unit for collecting environmental data from the weather station, including the temperature, wind direction, wind speed and air pressure of the environment at the time of shooting. In particular, the sampling time of the data is also recorded in real time, and the data can be acquired, but is not limited to, every one minute, and the training lasts from the beginning to the end.
In another specific embodiment of the above shooting performance analyzing apparatus, a third collecting unit may be further included, configured to collect a sampling time, an X-axis acceleration, a Y-axis acceleration, a Z-axis acceleration, an X-axis angle, a Y-axis angle, and a Z-axis angle at the time of shooting from a gyroscope mounted on the gun, and analyze the gun holding stability by using a muzzle shake waveform filtering algorithm, where the third collecting unit includes:
the displacement data acquisition unit is used for acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting time according to each shooting time;
the displacement variation calculating unit is used for subtracting every two adjacent displacement data to obtain the absolute value of the displacement variation and converting the displacement data of the gyroscope into a muzzle vibration amplitude;
the stacking column graph forming unit is used for filtering data of sudden change in muzzle vibration amplitude, calculating average values of the amplitudes before and after shooting respectively, and forming a stacking column graph by the average amplitude data of each gun;
and the gun holding stability analysis unit is used for analyzing the gun holding stability by using the height of the stacked column diagram.
It should be noted that the total height of the stacked bar chart reflects the overall shooting stability, each region reflects the stability before and after shooting, and the muzzle shaking waveform filtering algorithm can reflect the overall shooting stability of the shooter by analyzing the muzzle shaking data within a certain time.
Fig. 10 shows an embodiment of a shooting result analysis apparatus provided by the present invention, where fig. 10 is a schematic diagram of an embodiment of a shooting result analysis apparatus provided by the present invention, and the apparatus may include:
a memory 1001 for storing a computer program;
a processor 1002 for implementing the steps of any of the above shooting achievement analysis methods when executing a computer program.
The invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of any of the above shooting performance analysis methods.
By utilizing the device and the storage medium, the relationship between the shooting performance and relevant factors can be analyzed, the training method can be assisted to be improved, and the training level can be improved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A shooting performance analysis method, comprising:
collecting real-time shooting data, wherein the real-time shooting data comprises shooting result parameters and shooting personnel physiological data;
analyzing the real-time shooting data by using a bullet hole distribution center algorithm to obtain a shooting analysis result;
displaying the shooting analysis result;
wherein the bullet hole distribution center algorithm comprises:
constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses, and calculating first intersection points of all the auxiliary circles;
analyzing the intersection of each first intersection point and all auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles;
calculating the centers of all the second intersection points to serve as the center points of the scattered circles which can circle the most elastic holes;
and filtering the bullet holes outside the scattering circle, and calculating the coordinate average value of the bullet holes in the scattering circle as the scattering center of the bullet holes.
2. The shooting performance analysis method of claim 1, wherein the collecting real-time shooting data further comprises:
environmental data including ambient temperature, wind direction, wind speed and air pressure at the time of shooting are collected using a weather station.
3. The shooting result analyzing method according to claim 1, wherein the shooting result parameters are collected by an image recognition device, and include shooting time, a result ring number, a shot hole X-axis coordinate, and a shot hole Y-axis coordinate.
4. The shooting performance analysis method of claim 1, wherein the physiological data of the shooter is collected by a wearable device, and comprises body temperature, heart rate, and blood pressure of the shooter at the time of shooting.
5. The shooting performance analysis method of claim 1, further comprising:
sampling time, X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angle, Y-axis angle and Z-axis angle when utilizing the gyroscope installed on the gun to gather the shooting utilize muzzle shake waveform filtering algorithm to carry out analysis to holding rifle stability, wherein, muzzle shake waveform filtering algorithm includes:
acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting according to each shooting time;
performing difference on every two adjacent displacement data to obtain an absolute value of displacement variation, and converting the displacement data of the gyroscope into a muzzle vibration amplitude;
filtering out data of sudden change in the muzzle vibration amplitude, calculating average values of the amplitudes before and after shooting respectively, and forming a stacked bar chart by the average amplitude data of each gun;
the gun holding stability was analyzed using the height of the stacked bar graph.
6. A shooting result analysis apparatus, comprising:
the shooting device comprises a first acquisition component, a second acquisition component and a shooting component, wherein the first acquisition component is used for acquiring real-time shooting data, and the real-time shooting data comprises shooting result parameters and shooting personnel physiological data;
the analysis component is used for analyzing the real-time shooting data by utilizing a bullet hole distribution center algorithm to obtain a shooting analysis result;
a display unit for displaying the shooting analysis result;
wherein the analysis component comprises:
the first calculation unit is used for constructing auxiliary circles by taking the shooting bullet holes as the circle centers and preset radiuses and calculating first intersection points of all the auxiliary circles;
the analysis unit is used for analyzing the intersection of each first intersection point and all the auxiliary circles to obtain at least one second intersection point which falls into a plurality of auxiliary circles;
the second calculation unit is used for calculating and obtaining the centers of all the second intersection points as the center points of the scattered circles which can circle the most elastic holes;
and the third calculation unit is used for filtering the bullet holes outside the scattering circle, calculating the coordinate average value of the bullet holes in the scattering circle and obtaining the bullet hole scattering center.
7. The shooting performance analyzing apparatus of claim 6, further comprising a second collecting means for collecting environmental data including the temperature, wind direction, wind speed and air pressure of the environment at the time of shooting from a weather station.
8. The shooting performance analyzing apparatus according to claim 6, further comprising a third collecting means for collecting a sampling time at the time of shooting, an X-axis acceleration, a Y-axis acceleration, a Z-axis acceleration, an X-axis angle, a Y-axis angle, and a Z-axis angle from a gyro mounted on a gun, and analyzing gun holding stability by using a muzzle shake waveform filtering algorithm, wherein the third collecting means comprises:
the displacement data acquisition unit is used for acquiring displacement data from 200 milliseconds before the shooting time to 800 milliseconds after the shooting time according to each shooting time;
the displacement variation calculation unit is used for subtracting every two adjacent displacement data to obtain the absolute value of the displacement variation and converting the displacement data of the gyroscope into a muzzle vibration amplitude;
the stacking column graph forming unit is used for filtering data of sudden change in the muzzle vibration amplitude, calculating average values of the amplitudes before and after shooting respectively, and forming a stacking column graph by the average amplitude data of each gun;
and the gun holding stability analysis unit is used for analyzing the gun holding stability by utilizing the height of the stacked column diagram.
9. A shooting performance analyzing apparatus characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the shooting achievement analysis method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the shooting performance analyzing method according to any one of claims 1 to 5.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115388705A (en) * 2022-09-05 2022-11-25 北京子久科技有限公司 Internet of things-based automatic control system and method for light weapon live ammunition shooting training
CN116431993A (en) * 2023-06-14 2023-07-14 长沙润伟机电科技有限责任公司 Flying saucer shooting score statistical analysis system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101119882B1 (en) * 2011-03-28 2012-02-29 국방과학연구소 Apparatus for analyzing firing data and method for operating the same
RU2572370C1 (en) * 2014-08-18 2016-01-10 Василий Васильевич Ефанов Determination of projectiles scatter characteristics at artillery fire and data processing system to this end
CN107449323A (en) * 2017-08-17 2017-12-08 华南理工大学 A kind of firearms correction computational methods and its school gun system
CN109556453A (en) * 2018-12-27 2019-04-02 中国人民解放军总参谋部第六十研究所 A kind of record analysis system and its application method for ball firing process data
CN109990662A (en) * 2019-04-23 2019-07-09 西人马帝言(北京)科技有限公司 Automatic target-indicating method, apparatus, equipment and computer readable storage medium
CN110360877A (en) * 2019-06-12 2019-10-22 漳州泰里斯体育器材有限公司 A kind of gunnery training intelligent assistance system and method
CN110717659A (en) * 2019-09-20 2020-01-21 江西洪都航空工业集团有限责任公司 Shrapnel uniformity evaluation method fused with circle monopolizing theory
CN111504124A (en) * 2020-04-16 2020-08-07 广州大学 Visual shooting training system and method, terminal device and storage medium
CN112485804A (en) * 2020-09-30 2021-03-12 武汉高德红外股份有限公司 Machine gun shooting door design method and system based on shooting distribution
CN113819795A (en) * 2020-06-20 2021-12-21 深圳安锐科技有限公司 Ball firing auxiliary training system based on machine vision and gunshot positioning

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101119882B1 (en) * 2011-03-28 2012-02-29 국방과학연구소 Apparatus for analyzing firing data and method for operating the same
RU2572370C1 (en) * 2014-08-18 2016-01-10 Василий Васильевич Ефанов Determination of projectiles scatter characteristics at artillery fire and data processing system to this end
CN107449323A (en) * 2017-08-17 2017-12-08 华南理工大学 A kind of firearms correction computational methods and its school gun system
CN109556453A (en) * 2018-12-27 2019-04-02 中国人民解放军总参谋部第六十研究所 A kind of record analysis system and its application method for ball firing process data
CN109990662A (en) * 2019-04-23 2019-07-09 西人马帝言(北京)科技有限公司 Automatic target-indicating method, apparatus, equipment and computer readable storage medium
CN110360877A (en) * 2019-06-12 2019-10-22 漳州泰里斯体育器材有限公司 A kind of gunnery training intelligent assistance system and method
CN110717659A (en) * 2019-09-20 2020-01-21 江西洪都航空工业集团有限责任公司 Shrapnel uniformity evaluation method fused with circle monopolizing theory
CN111504124A (en) * 2020-04-16 2020-08-07 广州大学 Visual shooting training system and method, terminal device and storage medium
CN113819795A (en) * 2020-06-20 2021-12-21 深圳安锐科技有限公司 Ball firing auxiliary training system based on machine vision and gunshot positioning
CN112485804A (en) * 2020-09-30 2021-03-12 武汉高德红外股份有限公司 Machine gun shooting door design method and system based on shooting distribution

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
冯太林 , 谭东汉 , 周克栋: "两种霰弹散布的实验结果及其分析", 轻兵器, no. 06, pages 15 - 16 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115388705A (en) * 2022-09-05 2022-11-25 北京子久科技有限公司 Internet of things-based automatic control system and method for light weapon live ammunition shooting training
CN116431993A (en) * 2023-06-14 2023-07-14 长沙润伟机电科技有限责任公司 Flying saucer shooting score statistical analysis system
CN116431993B (en) * 2023-06-14 2023-08-22 长沙润伟机电科技有限责任公司 Flying saucer shooting score statistical analysis system

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