CN116882846A - Intelligent assessment system and method for gun operation training and computer storage medium - Google Patents
Intelligent assessment system and method for gun operation training and computer storage medium Download PDFInfo
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Abstract
A gun operation training intelligent assessment system, a gun operation training intelligent assessment method and a computer storage medium belong to the technical field of image data processing. The system comprises: the sighting video acquisition equipment is used for recording pictures in the ocular view field of the sighting telescope when the gun operator trains and examines; an aiming track identifying unit configured to determine an aiming track formed by an operator manipulating the turret through a change of a picture within a field of view of an eyepiece of the aiming mirror; and the gun aiming analysis unit is used for analyzing the deviation degree, the real-time moving speed and the integrity of the real-time moving track of the gun according to the target outline shape required to be drawn during training and checking and the aiming track formed by the gun operating personnel operating the gun turret, and the scoring analysis unit is used for determining the checking score of the gun operating personnel according to the deviation degree, the moving speed, the integrity and the time spent by the training gun for finishing the outline shape of the target. The invention greatly improves the checking efficiency.
Description
Technical Field
The invention belongs to the technical field of image data processing, and particularly relates to an intelligent assessment system and method for gun operation training and a computer storage medium.
Background
Although the chinese patent application CN114970201a discloses a method for determining the first hit probability of a tank gun under the condition of action-to-action firing, it does not disclose a technical scheme for checking the proficiency of gun operators, but needs to be mastered by each gun operator of the battle equipment such as a tank, a step-warship, etc. Especially, the professional training and checking of the gun operator is directly related to the accuracy and reliability of striking, and the gun operator is a foundation in the professional daily training foundation of the gun operator for the operation of the gun turret. The daily training subjects for examining the gun operator to the gun turret operation proficiency are the envelope target drawing training.
At present, the envelope target drawing training is specifically to set a plate-shaped target fully coated with butter in front of a gun, install a solid pen-shaped part on the gun, control butter on the pen-shaped target through a steering gear, a height machine, an operating console and the like, then scrape a graph, and judge whether the checked personnel is qualified or not by observing the butter graph on the plate-shaped target and manually pinching a table.
The conditions of large judgment error, inaccurate time and the like can possibly occur through manual examination, and the efficiency is low. As the operation precision of tanks, step-and-war carts and other equipment is higher and higher, the manual assessment mode is not capable of accurately judging the actual operation level of the personnel who are training or assessing.
Disclosure of Invention
The invention aims to provide an intelligent gun operation training assessment system, method and computer storage medium, which are used for assessing the proficiency of gun operators such as tanks, step and war carts, and greatly improve the assessment efficiency.
In order to achieve the above object, an aspect of the present invention provides an intelligent assessment system for gun training, including:
the sighting video acquisition equipment is used for recording video observed from a sighting telescope eyepiece when a gun operator is on the gun drawing according to the outline shape of a target to be drawn during training and checking;
an aiming path recognition unit configured to determine an aiming track formed by the shape of the target outline by the gun through the change of the video;
the gun aiming analysis unit is used for carrying out gun operation real-time movement track deviation degree analysis, gun drawing movement track real-time movement speed analysis and gun drawing movement track integrity analysis according to the target contour shape required to be drawn during training and checking and the aiming track formed by gun drawing the target contour shape, and
and the scoring analysis unit is used for determining the assessment score of the gun operator according to the deviation degree of the gun-operated real-time moving track, the real-time moving speed of the gun-drawn moving track, the integrity of the gun-drawn moving track and the time when the gun-drawn target contour shape is finished.
In order to achieve the purpose of the invention, the invention also provides an intelligent assessment method for gun operation training, which comprises the following steps:
recording a video observed from a sighting telescope eyepiece when a gun operator operates the gun according to the outline shape of a target to be depicted during training and checking through sighting video acquisition equipment;
determining an aiming track formed by the shape of the outline of the target by gun according to the change of the video through a gun aiming path recognition unit;
performing gun operation real-time moving track deviation analysis, gun drawing moving track real-time moving speed analysis and gun drawing moving track integrity analysis according to a target contour shape required to be drawn during training and checking and a target track formed by gun drawing the target contour shape through a gun drawing analysis unit;
and analyzing the assessment results of the gun operator according to the deviation of the gun-operated real-time moving track, the real-time moving speed of the gun-drawn moving track and the integrity of the gun-drawn moving track through a scoring analysis unit.
In order to achieve the purpose of the invention, the invention also provides an intelligent assessment system for gun operation training, which is characterized by comprising the following steps:
the sighting video acquisition equipment is used for recording pictures in the ocular view field of the sighting telescope when the gun operator trains and examines;
an aiming track identifying unit configured to determine an aiming track formed by an operator manipulating the turret through a change of a picture within a field of view of an eyepiece of the aiming mirror;
the gun aiming analysis unit is used for analyzing the deviation degree, the real-time moving speed and the integrity of the gun operating real-time moving track according to the outline shape of the target required to be drawn during training and checking and the aiming track formed by the gun operating personnel operating the gun turret, and
and the scoring analysis unit is used for determining the assessment score of the gun operator according to the offset, the moving speed, the integrity and the time spent for training the gun to trace the outline shape of the target.
To achieve the object, the invention also provides a computer storage medium, which is characterized in that the computer storage medium stores therein a computer program code, which when being adjusted by a processor, is capable of implementing the above-mentioned method.
Advantageous effects
Compared with the prior art, the intelligent assessment system and method for gun operation training and the computer storage medium have the following beneficial effects:
when the professional skill level of a gun is tested, a gun operator is trained and examined, a gun operation video observed from a sighting telescope eyepiece is recorded, a gun tracing person is determined according to the change of each frame of image in the gun operation video observed from the sighting telescope eyepiece, a sighting track formed by the gun tracing person according to the target outline shape required to be traced during training and examination, a gun operation real-time movement track offset degree analysis, a gun tracing movement track real-time movement speed analysis and a gun tracing movement track integrity analysis are carried out according to the target outline shape required to be traced during training and examination and the sighting track formed by the gun tracing of the gun operator, and gun operation personnel assessment results are determined according to the gun operation real-time movement track offset degree, the gun tracing movement track real-time movement speed and the gun tracing movement track integrity, and are realized through application software running in a processor, so that the gun operation skill of the gun operator can be rapidly assessed according to instructions, and the examination efficiency is greatly improved.
Drawings
FIG. 1 is a block diagram of a gun operation training intelligent assessment system provided by the invention;
fig. 2 is a block diagram of a frequency data processing unit provided by the present invention;
FIG. 3 is a block diagram of the components of the present invention providing an aiming path recognition unit;
FIG. 4 is a block diagram of the composition of the gun sight analysis unit provided by the invention;
FIG. 5 is a block diagram showing components of the score analysis unit provided by the present invention;
FIG. 6 is a video and cannon trace plot of the intelligent assessment system for cannon training provided by the invention.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The intelligent assessment system for gun operation training is mainly applied to assessment of gun operation training of armies.
First embodiment
Fig. 1 is a block diagram of a first embodiment of the present invention, as shown in fig. 1, of a system for intelligent assessment of gun training, where the system for intelligent assessment of gun training includes: the data management module comprises an examination subject management sub-module, an examination personnel management sub-module, an examination unit management sub-module, an examination equipment management sub-module and an equipment type management sub-module, wherein the examination subject management sub-module is configured to enable a user to perform operations such as adding, modifying and deleting on subject data of query training examination on a man-machine interaction interface. The assessment personnel management sub-module is configured to enable a user to perform operations such as adding, modifying and deleting on data such as names and units of assessment personnel on the man-machine interaction interface, so that assessment results and the assessment personnel are bound. The examination unit management sub-module is configured to enable a user to perform operations such as adding, modifying, deleting and the like on the unit where the examination personnel are located on the man-machine interaction interface. The assessment equipment management sub-module is configured to enable a user to perform operations such as adding, modifying and deleting on equipment participating in assessment on the human-computer interaction interface. The equipment type management sub-module is configured to enable a user to perform operations such as adding, modifying and deleting the type of the equipment on the man-machine interaction interface. The equipment to be inspected needs to bind the type of equipment to be inspected, such as various types of cannons.
The intelligent assessment system for gun operation training further comprises a data configuration module which realizes the functions of assessment scoring standard configuration, graphic data configuration, equipment parameter configuration and the like, wherein the assessment scoring standard configuration mainly realizes that different assessment subjects are selected to obtain scoring standards of different subjects in the assessment process. Different assessment scoring standards are different in score analysis modes such as a mode of processing a graph, a time calculation mode and the like; the graphic data configuration mainly comprises a graphic proportion configuration function and a graphic clipping parameter configuration function. The graph proportion configuration is used for configuring the corresponding proportion of the graph environment seen by the sighting telescope ocular to the target graph according to different training and checking environments so as to provide calculation parameters when the target graph track corresponds. The graphic clipping parameter configuration is to improve the efficiency and accuracy of image contrast.
The intelligent examination system for gun operation training further comprises a video equipment docking module which is used for docking with the sighting video acquisition equipment and playing images seen by the sighting telescope ocular on a display interface of the display. The sighting video acquisition equipment comprises a video acquisition device and a camera, wherein the video acquisition device is arranged on a sighting telescope, the video acquisition device at least comprises a spectroscope, the spectroscope splits reflected light of a sighting scene observed by the sighting telescope and transmits the split light to the camera, each frame of video shot by the camera is respectively consistent with each frame of video observed by an eyepiece of the sighting telescope, and the spectroscope can be arranged at a sighting port of the sighting system, in a light path of the sighting system or behind the eyepiece of the sighting system; the camera can be adaptively arranged according to different positions of the spectroscope.
The intelligent assessment system for gun training further comprises a real-time data processing module which comprises a video data processing unit 22, a gun aiming path identifying unit 40 and a gun aiming analyzing unit 50, wherein,
the video data processing unit 22 is used for processing video observed from the sighting telescope eyepiece when the gun operator recorded by the sighting video acquisition equipment operates the gun according to the target contour shape required to be depicted during training and checking, for example, an envelope target;
the gun aiming path identifying unit 40 is configured to determine an aiming track formed by gun-tracing the outline shape of the target through the change of the video;
the gun aiming analysis unit 50 is used for performing gun operation real-time moving track deviation analysis, gun drawing moving track real-time moving speed analysis and gun drawing moving track integrity analysis according to the target outline shape required to be drawn during training and checking and the aiming track formed by gun drawing the target outline shape.
The real-time data processing module further includes a scoring analysis unit 70 configured to analyze a human operator's score based on a gun-handling real-time movement trajectory offset, a gun-tracing movement trajectory real-time movement speed, a gun-tracing movement trajectory integrity, and a time-consuming gun-tracing of the target profile shape.
Fig. 2 is a block diagram of a video data processing unit provided by the present invention, where, as shown in fig. 2, the video data processing unit 22 includes a real-time recording training and checking video module 221 and a real-time capturing video data frame image module 222, where the real-time recording training and checking video module 221 records the obtained video image of the video docking module, so as to record and save the image data seen by the eyepiece of the sighting telescope in the checking and training process, and the image data may be in MP4 format. The video image is then captured frame by the real-time capturing video data frame image module 222, and the captured images are received by the Mat object of OpenCV and stored in the message queue of the image to be processed.
Fig. 3 is a block diagram of the present invention, and as shown in fig. 3, the gun sight path recognition unit 40 includes a real-time image comparison module 401, a real-time image recognition module 402, a target map track correspondence module 403, and a real-time drawing track module 404,
the real-time image comparison module 401 is configured to cut each frame of image of the video observed by the sighting telescope eyepiece by the gun operator according to the outline shape of the target to be depicted during training and checking to obtain a matrix image sequence, take the first frame of the corresponding matrix image sequence as a basic comparison image, and calculate displacement matrix sequences between other matrix images except the first frame matrix image in the matrix image sequence and the basic comparison image;
the real-time image recognition module 402 is configured to recognize feature points of a target image in each frame of an image of a video observed from a sighting telescope eyepiece when a gun operator performs gun operation according to a target contour shape to be depicted during training and checking, and sequentially calculate displacement data of a sighting track formed when the gun operator performs gun operation on the target contour shape according to the difference of positions of the feature points of the target image recognized by two adjacent frames of images in the image, wherein the feature points are for example, a center point of a rake image and the target is for example an envelope target;
the target graph track corresponding module 403 is configured to calculate a corresponding relation between an image center point of the basic contrast image and a target graph feature point in the basic contrast image, and then determine a gun operator gun corresponding to each frame of matrix image in the matrix image sequence according to the corresponding relation, or determine a gun operator gun corresponding to each frame of matrix image in the matrix image sequence according to the corresponding relation through the displacement matrix sequence; in a first embodiment, the correspondence is found from the spatial collineation equation of the prior art camera.
The real-time rendering tracing module 404 is configured to connect an aiming trace formed by cannon-tracing the target contour shape point location corresponding to each frame of matrix image.
Fig. 4 is a block diagram of the composition of the gun sight analysis unit provided by the present invention, as shown in fig. 4, the gun sight analysis unit 50 specifically includes: a cannon trace shift degree analysis module 501, a cannon trace shift degree analysis module 502, and a cannon trace depiction integrity analysis module 503, wherein,
the shot moving track deviation degree analysis module 501 is configured to perform point-by-point comparison according to a target contour shape to be drawn during training and checking and an aiming track formed by an operator shot the target contour shape so as to determine the deviation degree of the aiming track formed by the current shot the target contour shape and the target contour shape, wherein the deviation degree can be calculated by the following modes: and sequentially calculating the difference value between the shot points of the operator corresponding to each frame of matrix image and the corresponding points of the target outline shape, summing the absolute values of all the difference values, and dividing the sum of the points.
In the first embodiment, the target contour shape is a pattern recognized from any one of the matrix image sequences through the CNN neural network, and may be an image of the target contour shape shown by an envelope rake calculated by a spatial collinearity equation, such as a white frame "ζ" and an "x" line provided in "ζ" in fig. 6.
The real-time moving speed analysis module 502 of the cannon drawing moving track is configured to sequentially calculate displacement data of a sighting track formed when a cannon operator cannon draws the target contour shape according to the difference of positions in images of target image feature points identified by two adjacent frames of images, calculate the real-time moving speed of the sighting track formed when the cannon is drawn the target contour shape, and the time for drawing the target contour shape required to be drawn according to training and checking.
In the invention, the real-time moving speed of the cannon trace can be calculated by the following formula: v=α× (s/t) i,i+1 ) Wherein v is the real-time moving speed of the aiming track formed by the profile shape of the gun drawn target; s is the displacement of characteristic points of target images in two adjacent frames of images, t i,i+1 The interval between two adjacent frames of images is set value alpha.
In the invention, the time for drawing the outline shape of the target to be drawn according to the training and checking is calculated as follows: t=t 1,2 +,…t i,i+1 ,+…+ t N-1,N Where N is the number of frames of the last image after the target contour shape is drawn, and the time intervals between two adjacent frames of images are usually the same, so t= (N-1) ×t 1,2 。
The cannon drawing moving track drawing completeness analysis module 503 is used for comparing the aiming track formed by the cannon drawing the target contour shape with the target contour shape in a graph, determining the similarity degree of the graph of the aiming track formed by the cannon drawing the target contour shape and the target contour shape, and further determining the completeness of cannon drawing moving track drawing during examination.
Fig. 6 is a block diagram showing components of the score analysis unit provided by the present invention, and as shown in fig. 6, the score analysis unit 70 includes a score calculation analysis module 701, a save score recording module 702, and a score report deriving module 703, wherein,
the assessment score calculation analysis module 701 is configured to calculate the score of the training assessment according to the subject, the scoring standard, and other conditions after the training assessment is completed. For example: the time 19s for drawing the envelope rake is 100 minutes, and every 2.5 seconds more is one minute, and the ineligibility is directly judged below 60 minutes. The result display interface is popped up after the result calculation is completed, and the result display interface mainly displays data such as examination subjects, examination personnel, examination equipment, examination starting time, examination ending time, the time when the examination cannon finishes describing the outline shape of the target, examination results, whether the examination cannon deviates, the deviation degree and the like;
the storage and assessment recording module 702 is used for recording data such as assessment subjects, assessment personnel, assessment equipment, assessment start time, assessment end time, time spent on the assessment cannon describing the outline shape of the target, assessment results, whether offset exists, offset degree and the like;
the examination score report deriving module 703 is configured to derive the present training examination report on the result display interface after the present training examination is finished. The report comprises the data such as the starting time and the ending time of the training examination, the time of the examination cannon after the examination of the outline shape of the target, the examination result, whether the examination is deviated, the deviation degree and the like of the information such as the subjects, the personnel, the equipment and the like of the training examination.
The intelligent assessment system for gun operation training provided by the invention further comprises a data statistics analysis module, which comprises an assessment record management sub-module and an assessment data statistics sub-module, wherein the assessment record management sub-module is configured to inquire the assessment record through conditions such as assessment subjects, assessment personnel, assessment equipment and the like. Supporting operations such as playback, report export and the like on the assessment record by selecting the assessment record; the examination data statistics sub-module is configured to count personnel performance data of examination of different examination subjects and display the personnel performance data in the forms of a line graph, a bar graph and the like.
Fig. 6 is a video and cannon drawing movement trace diagram of the intelligent cannon training assessment system provided by the invention, wherein an envelope target is arranged in front of cannon, and the envelope target is 100 cm long and 75 cm wide as shown in fig. 6. When the gun operation simulator exercises, the sighting video acquisition equipment records a video 1 observed by a gun operator from a sighting telescope eyepiece when the gun operation operator operates according to the outline shape of a target to be depicted during training and checking, wherein the video comprises an image 3 of an envelope target; the gun aiming path recognition unit determines a gun-drawn moving track 2 of a gun operator through the change of the video, for example, a rectangle is drawn along a counterclockwise gun from the lower left corner, specifically, an upward vertical line, a right horizontal line, a downward vertical line and a left horizontal line; and then the operator crossscores along the envelope pattern depicting the target, specifically, the right upward oblique line, the downward vertical line and the left upward oblique line.
In conclusion, when the professional skill level of a gun is tested, gun operating personnel are trained and checked, gun operating videos observed from the sighting telescope are recorded, the moving track of gun drawing is determined according to the change of each frame of image in the gun operating videos observed from the sighting telescope, gun operating real-time moving track deviation degree analysis, gun drawing moving track real-time moving speed analysis and gun drawing moving track integrity analysis are carried out according to the target outline shape required to be drawn during training and checking and the gun operating moving track, and gun operating personnel checking results are analyzed according to the gun operating real-time moving track deviation degree, gun drawing moving track real-time moving speed and gun drawing moving track integrity, and are realized through application software running on a processor, so that the gun operating personnel is checked according to the skill level of command gun operating, and the checking efficiency is greatly improved.
Second embodiment
The second embodiment of the invention also provides a gun operation training intelligent assessment method, which corresponds to the gun operation training intelligent assessment system of the first embodiment.
Compared with the prior art, the beneficial effects of the gun operation training intelligent assessment method provided by the invention are the same as those of the gun operation training intelligent assessment system provided by the first embodiment, and the detailed description is omitted here.
Third embodiment
The third embodiment of the present invention also discloses a computer storage medium having stored therein computer program code which, when adjusted by a processor, is capable of implementing the method described in the second embodiment.
Compared with the prior art, the beneficial effects of the computer storage medium provided by the third embodiment of the present invention are the same as those of the intelligent assessment system for gun operation training provided by the first embodiment, and are not described in detail herein.
Fourth embodiment
In the fourth embodiment, only the portions different from those of the first embodiment are described, and the description of the same portions will not be repeated.
Still referring to fig. 1, a fourth example of the present invention provides a gun training intelligent assessment system comprising: the sighting video acquisition equipment is used for recording pictures in the ocular view field of the sighting telescope when the gun operator trains and examines; an aiming track identifying unit configured to determine an aiming track formed by an operator manipulating the turret through a change of a picture within a field of view of an eyepiece of the aiming mirror; and the gun aiming analysis unit is used for analyzing the deviation degree, the real-time moving speed and the integrity of the real-time moving track of the gun according to the target outline shape required to be drawn during training and checking and the aiming track formed by the gun operating personnel operating the gun turret, and the scoring analysis unit is used for determining the checking score of the gun operating personnel according to the deviation degree, the moving speed, the integrity and the time spent by the training gun for finishing the outline shape of the target.
Compared with the prior art, the beneficial effects of the gun operation training intelligent assessment system provided by the fourth embodiment of the invention are the same as those of the gun operation training intelligent assessment system provided by the first embodiment, and the description is omitted here.
Although the invention has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are merely exemplary illustrations of the present invention as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the invention. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An intelligent assessment system for gun operation training, which is characterized by comprising:
the sighting video acquisition equipment is used for recording video observed from a sighting telescope eyepiece when a gun operator is on the gun drawing according to the outline shape of a target to be drawn during training and checking;
the gun aiming path recognition unit is configured to determine an aiming track formed by gun-drawing of the target outline shape by a gun operator through the change of the video;
the gun aiming analysis unit is used for carrying out gun operation real-time movement track deviation degree analysis, gun drawing movement track real-time movement speed analysis and gun drawing movement track integrity analysis according to the target contour shape required to be drawn during training and checking and the aiming track formed by gun drawing the target contour shape, and
and the scoring analysis unit is used for determining the assessment score of the gun operator according to the deviation degree of the gun-operated real-time moving track, the real-time moving speed of the gun-drawn moving track, the integrity of the gun-drawn moving track and the time when the gun-drawn target profile shape is finished.
2. The intelligent blast training assessment system according to claim 1, wherein the viewing video capturing device comprises a video capturing device and a video camera, wherein the video capturing device is configured on the sighting telescope, the video capturing device comprises at least a spectroscope, the spectroscope splits reflected light of a blast scene observed by the sighting telescope and transmits the split light to the video camera, and each frame of video shot by the video camera is respectively consistent with each frame of video observed by an eyepiece of the sighting telescope.
3. The intelligent assessment system for gun operation training according to claim 1 or 2, wherein,
the gun aiming path recognition unit comprises a real-time image comparison module, a real-time image recognition module, a target graph track corresponding module and a real-time drawing track drawing module,
the real-time image comparison module is configured to cut each frame of image of the video observed by the sighting telescope eyepiece when the gun operator operates the gun according to the outline shape of the target to be depicted during training and checking to obtain a matrix image sequence, a first frame corresponding to the matrix image sequence is taken as a basic comparison image, and displacement matrix sequences between other matrix images except the first frame matrix image in the matrix image sequence and the basic comparison image are calculated;
the real-time image recognition module is configured to recognize characteristic points of a target image in each frame of images of a video observed from a sighting telescope eyepiece when a gun operator performs gun operation according to a target contour shape to be depicted during training and checking, and displacement data of a sighting track formed when the gun operator performs gun operation on the target contour shape is sequentially calculated according to the difference of positions of the characteristic points of the target image recognized by two adjacent frames of images in the images;
the target image track corresponding module is configured to calculate the corresponding relation between the image center point of the basic contrast image and the target image characteristic point in the basic contrast image, and then determine the point position of the target contour shape of the gun operator corresponding to each frame of matrix image in the matrix image sequence according to the corresponding relation;
the real-time drawing and tracing track module is configured to connect the points corresponding to each frame of matrix image and corresponding to the gun operator to gun trace the outline shape of the target to generate a sighting track formed by gun tracing the outline shape of the target.
4. The intelligent assessment system for gun training according to claim 3, wherein the gun aiming analysis unit specifically comprises:
the gun drawing movement track deviation degree analysis module is configured to conduct point-by-point comparison according to a target outline shape required to be drawn during training and checking and a sighting track formed by gun drawing of a gun operator, so as to determine the deviation degree of the sighting track formed by the current gun drawing of the target outline shape and the target outline shape;
the real-time moving speed analysis module of the cannon drawing moving track is configured to sequentially calculate the displacement data of the aiming track formed when the cannon operator cannon draws the target contour shape according to the difference of the positions of the target image characteristic points in the images identified by two adjacent frames of images, calculate the real-time moving speed of the aiming track formed when the cannon draws the target contour shape and the time for drawing the target contour shape required to be drawn according to training and checking;
and the cannon drawing moving track drawing completeness analysis module is used for comparing the graph of the aiming track formed by the cannon drawing the target contour shape with the graph of the target contour shape, determining the similarity degree of the graph of the aiming track formed by the cannon drawing the target contour shape and the target contour shape, and further determining the completeness of cannon drawing moving track drawing during examination.
5. The intelligent assessment method for gun operation training is characterized by comprising the following steps of:
recording a video observed from a sighting telescope eyepiece when a gun operator operates the gun according to the outline shape of a target to be depicted during training and checking through sighting video acquisition equipment;
determining an aiming track formed by the shape of the outline of the target by gun according to the change of the video through a gun aiming path recognition unit;
performing gun operation real-time moving track deviation analysis, gun drawing moving track real-time moving speed analysis and gun drawing moving track integrity analysis according to a target contour shape required to be drawn during training and checking and a target track formed by gun drawing the target contour shape through a gun drawing analysis unit;
and analyzing the evaluation results of the gun operator according to the deviation of the gun-operated real-time moving track, the real-time moving speed of the gun-drawn moving track, the integrity of the gun-drawn moving track and the time spent for gun-drawing the outline shape of the target by a scoring analysis unit.
6. The intelligent assessment method for gun training according to claim 5, wherein the viewing and aiming video acquisition equipment comprises a video acquisition device and a video camera, wherein the video acquisition device is arranged on a sighting telescope, the video acquisition device at least comprises a spectroscope, the spectroscope splits reflected light of a gun-aiming scene observed by the sighting telescope and transmits the split light to the video camera, and each frame of video shot by the video camera is respectively consistent with each frame of video observed by an eyepiece of the sighting telescope.
7. The intelligent assessment method for gun operation training according to claim 5 or 6, wherein,
the gun aiming path recognition unit comprises a real-time image comparison module, a real-time image recognition module, a target graph track corresponding module and a real-time drawing track drawing module,
the real-time image comparison module is configured to cut each frame of image of the video observed by the sighting telescope eyepiece when the gun operator operates the gun according to the outline shape of the target to be depicted during training and checking to obtain a matrix image sequence, a first frame corresponding to the matrix image sequence is taken as a basic comparison image, and displacement matrix sequences between other matrix images except the first frame matrix image in the matrix image sequence and the basic comparison image are calculated;
the real-time image recognition module is configured to recognize characteristic points of a target image in each frame of images of video observed from a sighting telescope eyepiece when a gun operator performs gun operation according to a target contour shape to be depicted during training and checking, and displacement data of a sighting track formed when the gun operator performs gun operation on the target contour shape is sequentially calculated according to the difference of positions of the characteristic points of the target image recognized by two adjacent frames of images in the images;
the target image track corresponding module is configured to calculate the corresponding relation between the image center point of the basic contrast image and the target image characteristic point in the basic contrast image, and then determine the point position of the gun operator corresponding to each frame of matrix image in the matrix image sequence when the gun operator draws the target contour shape according to the corresponding relation;
the real-time drawing and tracing track module is configured to generate a cannon tracing moving track by connecting points corresponding to each frame of matrix image when the cannon operator cannon traces the outline shape of the target.
8. The intelligent assessment method for gun operation training of claim 7, wherein the gun aiming analysis unit specifically comprises:
the cannon drawing movement track deviation degree analysis module is configured to conduct point-by-point comparison according to a target outline shape required to be drawn during training and checking and a sighting track formed by cannon drawing the target outline shape so as to determine the deviation degree of a movement track displayed by the current cannon drawing the target outline shape and the target outline shape;
the cannon drawing moving track real-time moving speed analysis module is configured to sequentially calculate the moving speed of a target contour shape formed by cannon drawing of a cannon operator according to the displacement data of the moving track displayed by the target contour shape according to the difference of the positions of target image feature points in images identified by two adjacent frames of images, and calculate the time for drawing the target contour shape required to be drawn according to training and checking;
and the cannon drawing moving track drawing completeness analysis module is used for comparing the graph of the aiming track formed by the cannon drawing of the target contour shape with the graph of the target contour shape, determining the similarity degree of the graph of the cannon drawing moving track of the cannon operator and the target contour shape, and further determining the integrity of cannon drawing moving track drawing during examination.
9. An intelligent assessment system for gun operation training, which is characterized by comprising:
the sighting video acquisition equipment is used for recording pictures in the ocular view field of the sighting telescope when the gun operator trains and examines;
an aiming track identifying unit configured to determine an aiming track formed by an operator manipulating the turret through a change of a picture within a field of view of an eyepiece of the aiming mirror;
the gun aiming analysis unit is used for analyzing the deviation degree, the real-time moving speed and the integrity of the gun operating real-time moving track according to the outline shape of the target required to be drawn during training and checking and the aiming track formed by the gun operating personnel operating the gun turret, and
and the scoring analysis unit is used for determining the assessment score of the gun operator according to the offset, the moving speed, the integrity and the time spent for training the gun to trace the outline shape of the target.
10. A computer storage medium having stored therein computer program code which, when adjusted by a processor, is capable of carrying out the method of any one of claims 5-8.
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