Intelligent individual soldier target scoring system and method thereof

Abstract

The invention relates to the technical field of intelligent target scoring, in particular to an intelligent individual soldier target scoring system and method, and the system comprises a target surface calibration module, a hit recognition module, an offset mapping module, a mode switching module and a terminal output module. According to the method, the thermal expansion trend is analyzed by collecting the temperature data of the target surface sensor, the target surface can be calibrated more accurately, impact point positioning can be corrected, shooting target positioning can be optimized, the accuracy of the shooting result can be enhanced, hit points which are not consistent with the preset angle can be screened out by recording the stress vibration and ballistic characteristics of the target surface during shooting, and the accuracy of the shooting result can be improved. The authenticity and reliability of shooting data are effectively improved, the gun holding posture change of a shooter in continuous shooting is monitored, the posture change is associated with hit offset, the shooting posture is helped to be adjusted, the overall shooting precision is improved, the shooting mode is dynamically adjusted, the shooter can better adapt to different shooting environments, and the shooting efficiency is improved. And the pertinence and the effect of training are obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent target reporting, and particularly to an intelligent individual soldier target reporting system and method thereof. Background Art

[0002] The technical field of intelligent target reporting includes automated target detection and analysis technologies for the shooting training and evaluation process. This field uses various sensors and image processing technologies to monitor and evaluate shooting results in real time, providing immediate feedback to shooters. The core contents include target recognition, automatic calculation of the hitting point, and instant display of shooting effects. The development of the overall technical field aims to improve the efficiency and accuracy of shooting training through automation, reduce manual intervention, and provide customized training suggestions and progress evaluations through data analysis.

[0003] Among them, the intelligent individual soldier target reporting system refers to a shooting training system designed specifically for individual soldiers, which integrates the functions of automatic target detection and shooting results. The technical matters targeted by this patent theme cover the automatic recognition of shooting targets and the accurate calculation of the shooting point position. Specifically, by combining embedded sensors and microprocessors, shooting data is collected and basic data analysis is performed, and then the shooting results are reported directly on the user interface. This system uses simple and effective data processing methods and relies on fixed algorithms for rapid result calculation and display.

[0004] Existing shooting training systems mostly rely on manual judgment and simple sensor feedback, which limits the fineness and adaptability of shooting training. Without temperature gradient analysis, it is difficult to correct in a timely manner the small deformations of the target surface or errors caused by environmental factors, which directly affects the improvement of shooting accuracy. The lack of analysis on the direct correlation between shooting postures and hitting effects makes it difficult for shooters to obtain specific feedback on the impact of their shooting habits, and they unconsciously repeat incorrect shooting actions. These deficiencies limit the efficiency and effectiveness of traditional shooting training in improving individual shooter skills, and are not conducive to the rapid improvement and precise training of shooters' skills. Summary of the Invention

[0005] In order to solve the technical problems existing in the prior art that the fineness and adaptability of shooting training are insufficient, without temperature gradient analysis, it is difficult to correct in a timely manner the small deformations of the target surface or errors caused by environmental factors, which directly affects the improvement of shooting accuracy. The lack of analysis on the direct correlation between shooting postures and hitting effects makes it difficult for shooters to obtain specific feedback on the impact of their shooting habits, and they unconsciously repeat incorrect shooting actions. These deficiencies limit the efficiency and effectiveness of traditional shooting training in improving individual shooter skills, and are not conducive to the rapid improvement and precise training of shooters' skills, the embodiments of the present invention provide an intelligent individual soldier target reporting system and method thereof. The technical solution is as follows: On the one hand, an intelligent individual soldier target scoring system is provided, and the system includes: The target surface calibration module obtains the temperature data of the target surface sensor array points set in the shooting training ground, extracts the records of the main channels of target surface thermal expansion according to the heat gradient direction between the measuring points in the array, analyzes the spatial displacement trend of the offset direction at the end of the main channel on the target surface reference center point, and generates a target surface calibration annotation layer; The hit recognition module calls the target surface calibration annotation layer, records the characteristics of the peak value of the force vibration on the target surface and the time point of the ballistic incidence angle, evaluates the consistency between the peak value duration period and the reverse characteristics of the incidence angle, and screens out the hit points that do not meet the angle consistency determination conditions to obtain a hit distribution coordinate set; The offset mapping module monitors the attitude angle curve sequence of the individual soldier's gun-holding posture during continuous burst shooting training according to the hit distribution coordinate set, analyzes the consistency of the offset direction between the attitude angle and the position of the hit point, and outputs an updated point of the scoring mapping center; The mode switching module judges the cross-section shape of the shooting frequency change curve and the target movement distance change trend within the real-time period based on the updated point of the scoring mapping center, analyzes the shooting mode state, and assigns the display panel number of the real-time stage to form a shooting mode recognition label.

[0006] As a further solution of the present invention, the target surface calibration annotation layer includes a reference area range, main channel record parameters of thermal expansion, and central offset trend parameters. The hit distribution coordinate set includes coordinate screening conditions, peak value consistency parameters, and incidence angle deviation ranges. The updated point of the scoring mapping center includes disturbance intensity indicators, direction matching ratios, and centroid mapping parameters. The shooting mode recognition label includes a panel number, a frequency change paragraph, and a movement trend intersection point.

[0007] As a further solution of the present invention, the target surface calibration module includes: The temperature monitoring sub-module obtains the temperature data of the target surface sensor array points in the shooting training ground, collects the multi-point temperature in real time, analyzes the temperature change trend between the measuring points, and monitors the heat gradient direction to obtain the main channel record of thermal expansion; The thermal expansion analysis sub-module monitors the temperature at the end of the main channel and the thermal expansion trend based on the main channel record of thermal expansion, analyzes the offset direction of the main channel on the reference center point, compares the end offset value with the position of the reference center point, and generates the spatial offset trend of target surface thermal expansion; The impact point calibration sub-module calls the spatial offset trend of target surface thermal expansion, monitors the offset area of the impact point, analyzes the coincidence rate between the offset vector direction and the center point of the area, determines the impact point positioning offset interval, and generates a target surface calibration annotation layer.

[0008] As a further solution of the present invention, the hit recognition module includes: The hit point detection sub-module calls the boundary of the hit point area in the target surface calibration annotation layer, extracts the hit point coordinates, monitors the peak value of the force vibration on the target surface, and combines the characteristics of the time point of the ballistic incident angle to generate a hit point feature set; Based on the hit point feature set, the feature consistency evaluation sub-module analyzes the duration period of the peak value of the target surface vibration, monitors the reverse change trend of the ballistic incident angle, and evaluates the synchronization degree between the vibration peak period and the incident angle change sequence to obtain a peak angle consistency data set; The hit point screening sub-module calls the peak angle consistency data set, screens the hit points that do not meet the angle consistency determination conditions, marks the abnormal hit points, eliminates the hit points that do not meet the consistency conditions, and generates a hit distribution coordinate set.

[0009] As a further solution of the present invention, the offset mapping module includes: The hit extraction sub-module uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequences of the hit points of each shot, calculates the hit point stability characteristic value, screens the coordinate set within the stable hit point interval, and generates a target surface stable hit area coordinate group; The formula for calculating the hit point stability characteristic value is as follows: ; Among them, DA represents the hit point stability characteristic value, represents the horizontal coordinate value of the i-th hit point, represents the vertical coordinate value of the i-th hit point, represents the mean value of the horizontal coordinates of the hit points, represents the mean value of the vertical coordinates of the hit points, and n represents the total number of hit points; Based on the target surface stable hit area coordinate group, the attitude monitoring sub-module calls the time series data of the individual soldier's gun-holding attitude angle recorded during training, pairs the attitude angle change trend corresponding to multiple time periods with the coordinate change, evaluates the corresponding relationship between the attitude angle change sequence and the point shooting hit time, and obtains the attitude angle dynamic change sequence; According to the attitude angle dynamic change sequence, the direction consistency sub-module extracts the corresponding relationship between the attitude angle change direction and the hit point coordinate change direction, judges whether the adjacent attitude angle direction change and the hit point offset direction are consistent, adjusts the direction weight distribution of the target surface stable hit area coordinate group, and obtains the updated point of the target reporting mapping center.

[0010] As a further solution of the present invention, the mode switching module includes: Based on the updated point of the target reporting mapping center, the frequency extraction sub-module records the adjacent shooting time nodes, detects the shooting trigger time interval sequence within the period, arranges the change of the frequency according to the period, and obtains the periodic shooting frequency curve; The trend detection sub-module calls the periodic firing frequency curve, extracts the target moving position coordinates corresponding to the firing period, analyzes the target moving distance sequence in consecutive periods, compares and matches the frequency change direction and the distance change direction within the same period, identifies the change direction reversal interval and determines whether there is a trend intersection, and obtains the frequency and moving trend cross-section morphology group; The panel allocation sub-module calls the frequency and moving trend cross-section morphology group, jointly classifies and judges the number of consecutive periods of the cross-section and the moving trend curvature, calculates the frequency change amplitude, matches the preset stage display panel number according to the classification result, assigns the corresponding number label in the period sequence, and obtains the shooting mode recognition label.

[0011] As a further solution of the present invention, the formula for calculating the frequency change amplitude is as follows: ; where F represents the frequency change amplitude, N represents the total number of cross-sections, represents the frequency change value of the a-th group of cross-sections, represents the time difference of the a-th group of cross-sections.

[0012] As a further solution of the present invention, the system further includes a terminal output module: The terminal output module calls the interface output panel number specified by the shooting mode recognition label, combines the calibration area corresponding to the updated point of the target reporting mapping center, updates the interface of the hit display center point and the contour extension of the target reporting terminal, synchronously marks the mapped hit coordinate position and displays the hit sequence trajectory, and obtains the layer-linked hit trajectory image; The layer-linked hit trajectory image includes the center point coordinates, contour extension parameters, trajectory sequence data, and synchronously marked positions.

[0013] As a further solution of the present invention, the terminal output module includes: The panel call sub-module, based on the shooting mode recognition label, combines the interface output panel numbers corresponding to multiple stages, refers to the mapping of the numbers and the preset output panel, and extracts the corresponding interface structure parameters, display element layout formats, and layer combination configurations to obtain the output panel parameter group; The interface update sub-module calls the output panel parameter group and the updated point of the target reporting mapping center, identifies the interface coordinate section within the calibration area where the updated point is located, replaces the coordinate of the center point position of the hit display area, expands and adjusts the contour extension layer, and extends and covers the edge pixel area according to the panel parameters to obtain the updated structure of the hit interface layer; The trajectory drawing sub-module updates the structure according to the hit interface layer, calls the hit coordinate time series corresponding to the updated point of the target reporting mapping center, connects the hit point coordinates in chronological order, superimposes them on the interface update layer, and sets the node style and trajectory transparency parameters to generate a layer-linked hit trajectory image.

[0014] On the other hand, the method of the intelligent individual soldier target target reporting system is executed based on the above intelligent individual soldier target target reporting system, and includes the following steps: S1: Obtain the temperature data of the target surface sensor array points, extract the heat gradient direction between the measurement points, analyze the spatial displacement trend of the end offset direction of the main channel at the reference center point, and combine the displacement trend to correct the range of the impact point positioning reference area to generate a target surface calibration annotation layer; S2: Call the boundary of the hit point area of the target surface calibration annotation layer, record the characteristics of the peak value of the target surface force vibration and the time point of the ballistic incidence angle, evaluate the consistency of the peak value duration and the reverse characteristic of the incidence angle, and screen the hit point coordinates with the angle deviation exceeding the determination condition to generate a hit distribution coordinate set; S3: Use the hit distribution coordinate set to monitor the curve sequence of the individual soldier's gun-holding posture angle, evaluate the consistency between the posture angle and the offset direction of the hit point, and combine the center of gravity coordinates of the target surface offset mapping area to generate an updated point of the target reporting mapping center; S4: Based on the updated point of the target reporting mapping center, analyze the cross-section shape of the shooting frequency change curve and the target movement distance trend, assign the display panel number corresponding to the shooting mode state, and generate a shooting mode recognition label; S5: Call the interface panel number specified by the shooting mode recognition label, combine the calibration area coordinates of the updated point of the target reporting mapping center, update the hit display center point and the contour extension parameters, synchronously mark the position of the mapped hit coordinates and superimpose the trajectory sequence to generate a layer-linked hit trajectory image.

[0015] The beneficial effects brought by the technical solution provided by the embodiment of the present invention at least include: By collecting the temperature data of the target surface sensor and analyzing the thermal expansion trend, the target surface can be calibrated more accurately, the impact point positioning can be corrected, the positioning of the shooting target can be optimized, and the accuracy of the shooting result can be enhanced. By recording the force vibration and ballistic characteristics of the target surface during shooting, the hit points that do not match the preset angle consistency are screened out, effectively improving the authenticity and reliability of the shooting data. Monitoring the change of the shooter's gun-holding posture during continuous shooting and correlating the posture change with the hit offset provides personalized feedback for the shooter, helps adjust the shooting posture, and improves the overall accuracy of shooting. By analyzing the relationship between the shooting frequency and the target movement in real time, the shooting mode can be dynamically adjusted, enabling the shooter to better adapt to different shooting environments. This comprehensive and detailed analysis mechanism significantly improves the pertinence and effect of training. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic diagram of an intelligent individual soldier target shooting result reporting system provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of the system framework of the present invention; Figure 3 It is a flowchart of a method for an intelligent individual soldier target shooting result reporting system provided by an embodiment of the present invention. Specific Embodiments

[0018] The following will describe the technical solutions in the present invention in conjunction with the drawings.

[0019] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0020] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when not emphasizing their differences, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when not emphasizing their differences, the meanings they express are the same.

[0021] In the embodiments of the present invention, sometimes subscripts such as W 1 may be written in a non-subscript form such as W1. When not emphasizing their differences, the meanings they express are the same.

[0022] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail in conjunction with the drawings and specific embodiments.

[0023] The embodiments of the present invention provide an intelligent individual soldier target shooting result reporting system, as Figure 1-2 shown in the schematic diagram of the intelligent individual soldier target shooting result reporting system. The system includes: The target surface calibration module obtains the temperature data of the target surface sensor array points set in the shooting training ground, extracts the records of the main channels of target surface thermal expansion according to the heat gradient direction between the measurement points in the array, analyzes the spatial displacement trend of the offset direction at the end of the main channel on the target surface reference center point, corrects the range of the landing point positioning reference area based on the offset trend, and generates a target surface calibration annotation layer; The hit recognition module calls the boundary of the corresponding hit point area in the target surface calibration annotation layer, records the peak value of the target surface force vibration and the time point characteristics of the ballistic incident angle, evaluates the consistency between the peak value duration and the reverse characteristics of the incident angle, and screens out the hit points that do not meet the angle consistency determination conditions to obtain a hit distribution coordinate set; The offset mapping module monitors the attitude angle curve sequence of the individual soldier's gun-holding posture during continuous point shooting training according to the hit distribution coordinate set, analyzes the consistency of the offset direction between the attitude angle and the hit point position, calculates the direction matching ratio between the attitude disturbance intensity and the center of gravity of the target surface offset mapping area, and outputs an updated point of the target reporting mapping center; The mode switching module judges the cross-section form of the shooting frequency change curve and the target movement distance change trend within the real-time period based on the updated point of the target reporting mapping center, analyzes the shooting mode state and assigns the display panel number of the real-time stage, and forms a shooting mode recognition label; The terminal output module calls the interface output panel number specified by the shooting mode recognition label, combines the calibration area corresponding to the updated point of the target reporting mapping center, updates the hit display center point and the contour extension of the target reporting terminal on the interface, synchronously marks the mapped hit coordinate positions and displays the hit sequence trajectory to obtain a layer-linked hit trajectory image; The target surface calibration annotation layer includes a reference area range, main channel record parameters of thermal expansion, and center offset trend parameters. The hit distribution coordinate set includes coordinate screening conditions, peak value consistency parameters, and incident angle deviation ranges. The updated point of the target reporting mapping center includes disturbance intensity indicators, direction matching ratios, and center of gravity mapping parameters. The shooting mode recognition label includes a panel number, a frequency change paragraph, and a moving trend intersection point. The layer-linked hit trajectory image includes center point coordinates, contour extension parameters, trajectory sequence data, and synchronously marked positions.

[0024] Specifically, as Figure 2 shown, the target surface calibration module includes: The temperature monitoring sub-module obtains the temperature data of the target surface sensor array points in the shooting training ground, collects the multi-point temperature in real time, analyzes the temperature change trend between the measurement points, and monitors the heat gradient direction to obtain the records of the main channels of thermal expansion; Before deploying the target surface sensor array in the shooting training ground, it is necessary to plan the point positions according to the target surface size. After determining the sensor layout density, thermocouple or infrared temperature sensor nodes are deployed on the target surface manually or mechanically. Each node needs to have a unique code and coordinate identification. After the sensors are tested, they are connected to the centralized control module and the sampling period is set. It is set to collect temperature data once per second. After each collection, the control module schedules and reads the data of each sensor node in sequence and marks the timestamp in real time. After being transmitted to the central processing unit, the temperature difference between each node is processed. According to the distance between the nodes, the temperature difference between adjacent measurement points can be judged. The temperature distribution map of the entire target surface is gradually drawn. A data matrix of temperature change over time is established through multi-period temperature data obtained by continuous sampling. The matrix is traversed to identify the areas with a continuous temperature rising trend. Further, the temperature expansion direction is determined by using the temperature difference and distribution direction between each area. Among multiple directions, the direction with an obvious heat propagation path from the starting point to the outside is extracted, and this direction is used as the preliminary candidate path for the main heat expansion channel. Then, the stability of the continuous node temperature data on this path is observed to verify whether it can be used as the main heat expansion channel. The channel direction and endpoint coordinates are marked to obtain the record of the main heat expansion channel.

[0025] Based on the record of the main heat expansion channel, the heat expansion analysis sub-module monitors the temperature at the end of the main channel and the heat expansion trend, analyzes the offset direction of the main channel on the reference center point, compares the end offset value with the position of the reference center point, and generates the spatial offset trend of the target surface heat expansion. After obtaining the main channel path and its start and end coordinates, the temperature sampling value of the end node of the main channel is received in real time, and its temperature change trend is monitored at fixed time intervals. If it is observed that the temperature in the end area shows a continuous upward state, it is determined that the main channel is still in the effective heat expansion stage. At the same time, the temperature change information of the intermediate points on the path is collected synchronously. By comparing the midpoint of the path as the reference point with the end point of the main channel, the offset direction of the heat in space is inferred. The judgment of the offset direction is based on the temperature change between nodes and the angle relationship of the path direction. If there is an angular difference between the expansion direction of the path end point and the midpoint connection direction and the offset distance exceeds the set threshold, it is identified that the heat expansion direction of the main channel has shifted. This shift is caused by environmental interference or structural reflection, etc. The system redraws the channel path according to the offset angle and distance, uses the current position of the end of the main channel as the new end coordinate, and constructs a channel expansion model in combination with the path trajectory and temperature data record. At the same time, a spatial trend map including the channel offset direction and path update content is generated on the two-dimensional coordinate map of the target surface for subsequent calling and impact point error correction processing, ensuring that the data has time tags, coordinate alignment, and visual annotation attributes, and generating the spatial offset trend of the target surface heat expansion.

[0026] The impact point calibration sub-module calls the thermal expansion space offset trend of the target surface, monitors the offset area of the impact point, analyzes the coincidence rate between the offset vector direction and the center point of the area, determines the positioning offset interval of the impact point, and generates a target surface calibration annotation layer; Perform layer alignment processing, spatially superimpose the heat path diagram and the current impact point coordinate diagram, complete layer registration through the positioning of the coordinate reference point, identify the concentrated area of the impact point and extract the coordinates of its center point, further judge the spatial coincidence relationship between the center point and the center path of the heat expansion channel. After identifying multiple concentrated areas of the impact point, calculate the distribution shape and density parameters for each area, identify the cluster of impact points with obvious directional offset, compare its directional offset direction with the main offset direction of the heat channel. If the directions are basically the same and the distance deviation is less than the set range, it is determined that the impact point is significantly affected by thermal expansion. At this time, call the vector translation correction algorithm to reverse-adjust the position of the impact point, determine the correction displacement direction according to the heat channel offset direction, and set the correction amplitude according to the offset distance. The corrected impact point coordinates are re-annotated to the layer. The new layer includes the original coordinates, corrected coordinates, correction difference vector and corresponding node numbers, and can batch complete the spatial position calibration of all impact points on the target surface to generate a target surface calibration annotation layer.

[0027] Specifically, as Figure 2 shown, the hit recognition module includes: The hit point detection sub-module calls the boundary of the hit point area in the target surface calibration annotation layer, extracts the hit point coordinates, monitors the peak value of the force vibration on the target surface, and combines the time point characteristics of the ballistic incidence angle to generate a hit point feature set; Load the boundary coordinates of the annotation area of each hit point in the layer, extract the spatial position information and corresponding numbers of each hit point, and at the same time combine the force vibration data recorded by the target surface sensor to screen out the time points when the vibration peak appears at each hit point position, and mark its vibration amplitude, duration and response frequency characteristics when the vibration appears. Then align the ballistic incidence angle information of the shooting record with the sensor detection time axis to determine whether the time points of each vibration peak coincide with the time point of the ballistic incidence angle. If the time point difference is within the set time window, for example, within ±10 milliseconds, it is considered that the vibration signal is a valid hit response. At the same time, extract the ballistic incidence angle value, hit point coordinates, vibration amplitude and duration corresponding to this time point as the feature information of this hit. Process each qualified hit point one by one and summarize it into a feature data list. This list includes data contents such as the two-dimensional coordinates, hit time, vibration peak value, duration period, incidence angle value and number of each hit point, forming a hit point feature set.

[0028] Based on the set of hit point features, the feature consistency evaluation sub-module analyzes the duration of the peak vibration of the target surface, monitors the reverse change trend of the ballistic incidence angle, evaluates the synchronization degree between the peak vibration period and the incidence angle change sequence, and obtains the peak angle consistency data set. For each set of hit point data, analyze the peak vibration period, extract the complete time period from the appearance to the disappearance of the vibration signal, record the continuous values of the vibration intensity changing with time, form a vibration period curve, and at the same time compare the trend trajectory of the incidence angle of this hit point changing with time to check whether there is an obvious reverse angle change phenomenon, that is, whether the shooting trajectory reverses or deflects at the moment approaching the hit point. If there is a continuous change in the incident angle and a reverse offset appears near the hit point, extract the angle change sequence of this section, align it with the vibration period on the time axis, analyze the synchronization relationship between the two, and judge whether the rising stage of the vibration signal coincides with the start time of the angle deflection, and whether the maximum vibration value corresponds to the extreme point of the angle change amplitude. If these two features have a high degree of coincidence in time, it is considered that this hit point has good angle consistency. The system records the data with a high synchronization degree as samples with a high consistency score, otherwise it is recorded as poor consistency. By performing such analysis on the hit points, a peak angle consistency data set is generated.

[0029] The hit point screening sub-module calls the peak angle consistency data set, screens out the hit points that do not meet the angle consistency determination conditions, marks the abnormal hit points, eliminates the hit points that do not meet the consistency conditions, and generates a hit distribution coordinate set. Set the consistency determination standard that the synchronization delay shall not exceed 15 milliseconds, and the angle change trend must be continuous and without interruption. Traverse the hit point records, and compare the consistency scores of each item of data one by one according to the set threshold. If there is an obvious deviation in the synchronization between the vibration period and the angle change of a certain hit point, such as the time offset exceeds the threshold or the reverse angle trend is not obvious, it is identified as an abnormal point. The system sets this type of data as an abnormal hit point through the marking mechanism and makes a significant mark in the layer for manual review or automatic elimination. The elimination operation does not affect the original layer structure, only removes the data that does not meet the consistency conditions from the hit set to be analyzed. The remaining qualified hit points are summarized, including the spatial positions of the calibrated, verified, and screened hit points, and can be used for subsequent accuracy evaluation, hit rate statistics, and automatic scoring function calls for training, generating a hit distribution coordinate set.

[0030] Specifically, as Figure 2 shown, the offset mapping module includes: The hit extraction sub-module uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequences of each shooting hit point, calculates the hit point stability characteristic value, screens the coordinate set within the stable hit point interval, and generates a target surface stable hit area coordinate group. The formula for calculating the eigenvalue of the hit point stability is as follows: ; where DA represents the eigenvalue of the hit point stability, represents the horizontal coordinate value of the i-th hit point, represents the vertical coordinate value of the i-th hit point, represents the mean of the horizontal coordinates of the hit points, represents the mean of the vertical coordinates of the hit points, and n represents the total number of hit points; Meaning of parameters and derivation process of formula calculation: represents the horizontal coordinate value of the i-th hit point, which is obtained from the horizontal data of each shooting point on the target surface; represents the vertical coordinate value of the i-th hit point, which is obtained from the vertical data of each shooting point on the target surface; represents the mean of the horizontal coordinates of the hit points, which is obtained by averaging the horizontal coordinates of the hit points. The formula is: ; where n represents the total number of hit points, represents the mean of the vertical coordinates of the hit points, which is obtained by averaging the vertical coordinates of the hit points. The formula is: ; In the formula, the first term reflects the absolute value of the product of the horizontal and vertical coordinate deviations of each hit point relative to the mean. This term evaluates the stability of the hit points by quantifying the coordinate deviations; The second term calculates the standard deviation of the horizontal coordinates of the hit points, reflecting the degree of dispersion of the horizontal data; The third term calculates the variance of the vertical coordinates of the hit points, reflecting the degree of dispersion of the vertical data; There are five hit points, and the horizontal and vertical coordinate data are as follows: Hit point 1: = 2, = 3; Hit point 2: = 4, = 2; Hit point 3: = 5, = 6; Hit point 4: = 7, = 5; Hit point 5: = 8, = 7; Calculate the mean value and : ; ; Calculate the first term:

[0031] Calculate the second term: ; Calculate the third term: ; Calculate the stability eigenvalue: ; The result shows that the stability eigenvalue of the hit point is 8.74. Through this eigenvalue, the stability of the hit point can be evaluated. A high value indicates a large dispersion of the hit point in the horizontal and vertical coordinates and poor stability.

[0032] Based on the coordinate group of the stable hit area on the target surface, the attitude monitoring sub-module calls the time series data of the individual's gun-holding attitude angles recorded during training, pairs the change trends of the attitude angles corresponding to multiple time periods with the coordinate changes, evaluates the correspondence between the attitude angle change sequence and the point shooting hit time, and obtains the dynamic change sequence of the attitude angles; Call the time series data of the individual's gun-holding attitude angles recorded during training, including the continuous change values of the pitch angle, yaw angle, and roll angle under per-second sampling. The system compares the time stamps corresponding to the hit coordinates with the similar time points in the attitude angle time series, retrieves the attitude data points within ±1 second in a sliding window manner, matches the hit time with the attitude angle change time points, obtains the change trends of the attitude angles within multiple time periods, and conducts paired analysis with the change trends of the hit point coordinates in space to determine whether there is a certain correspondence between the spatial offset of each point shooting hit point and the change direction of the attitude angle at that moment. Set that if the hit point moves left in the horizontal direction and the yaw angle at the corresponding time shows a leftward trend, it is recorded as a sample with consistent directions. Conduct such matching processing on the hit point, sort out the correlation comparison table between the attitude angle change curve and the hit point displacement trend, and use the hit number as the index, including the attitude angle value, change slope, direction increase and decrease trend, and associated hit coordinate displacement data, as the input basis for the next direction consistency analysis to obtain the dynamic change sequence of the attitude angles.

[0033] Based on the dynamic change sequence of the attitude angles, the direction consistency sub-module extracts the corresponding relationship between the attitude angle change direction and the hit point coordinate change direction, determines whether the adjacent attitude angle direction changes and the hit point offset direction are consistent, adjusts the direction weight distribution of the coordinate group of the stable hit area on the target surface, and obtains the updated point of the target reporting mapping center; Extract the relationship between the changing direction of the attitude angle and the changing direction of the hit point coordinates in each group of data, and determine whether the changing direction of the attitude angle and the offset direction of the hit point coordinates are consistent within two adjacent time points. The system first calculates the moving direction vector of the hit point between each hit, and performs direction encoding processing on the increasing and decreasing directions of the attitude angle. Set the angle increase as the positive direction and the angle decrease as the negative direction. Then convert the changing trend of the horizontal or vertical coordinates of the hit point into the same encoding format for direction comparison. If the encoding results of the two are consistent, it is considered that the directions are consistent, otherwise they are inconsistent. Count the proportion of the number of hit points with consistent directions in all the data, calculate the consistency score, and reallocate the direction weight values of each point in the stable hit area coordinate group of the target surface according to the consistency result. Assign high weights to the areas with high consistency. Based on this, the system recalculates the weighted geometric center of the entire hit area. This updated point is used to train the system to output the hit center annotation and training evaluation content, and synchronously update the center coordinate position information of the target surface visualization display layer as the center update point for target reporting mapping.

[0034] Specifically, as Figure 2 shown, the mode switching module includes: The frequency extraction sub-module, based on the center update point of the target reporting mapping, records adjacent shooting time nodes, detects the shooting trigger time interval sequence within the detection period, arranges the changes in frequency in cycles, and obtains the periodic shooting frequency curve; Obtain the timestamps corresponding to two or more consecutive hit events, establish a time series list, and calculate the time difference between every two adjacent shooting hit events after sorting in chronological order. Organize all the time intervals into a shooting trigger interval sequence. Then set an analysis period window with a fixed length, set each 30 seconds as a cycle, count all the shooting trigger intervals within this cycle and calculate the number of shootings per unit time as the frequency value of this cycle. By analogy, calculate the shooting frequency in multiple cycle segments during the entire shooting process, and finally form a complete periodic shooting frequency curve. The curve uses the cycle number as the abscissa and the unit frequency as the ordinate. The frequency value of each cycle reflects the shooting density level at this stage. If the frequency value significantly increases or decreases within a certain cycle, it indicates that the shooting behavior has changed during this stage. The frequency extraction process also synchronously records the hit coordinates and attitude information corresponding to each trigger event to ensure the correlation between frequency data and spatial data, and stores them in the form of a data point sequence to obtain the periodic shooting frequency curve.

[0035] The trend detection sub-module calls the periodic shooting frequency curve, extracts the target moving position coordinates corresponding to the shooting period, analyzes the target moving distance sequence in consecutive cycles, performs a paired comparison of the changing direction of the frequency and the changing direction of the distance within the same cycle, identifies the interval where the changing direction reverses and determines whether there is a trend crossover, and obtains the frequency and moving trend crossover segment morphology group; Retrieve the target movement trajectory data corresponding to each shooting period, extract the starting and ending coordinate points of the target position in each cycle, calculate the actual movement distance of the target in each cycle, form a target movement distance sequence, which records the target displacement amount and direction change information in each cycle, perform pairing processing on the frequency change direction and the movement distance change direction, the system determines whether the shooting frequency increases or decreases between two cycles, and then determines whether the target displacement amount rises or falls, combine and classify the change directions of the two, if in two consecutive cycles, the frequency change direction and the target displacement change direction change from being consistent to opposite, it is identified as a trend direction reversal interval, further determine whether there is a crossover phenomenon between the frequency change trend and the target movement trend, set the frequency to change from rising to falling while the target movement changes from falling to rising, this crossover process is regarded as a trend crossover segment, the system records the cycle segment number where the crossover point is located and the corresponding curve segment shape, and analyzes the change rate and slope change situation in this interval, extract the interval set with an obvious crossover shape as the frequency and movement trend crossover segment shape group for shooting behavior pattern recognition and visualization processing, and obtain the frequency and movement trend crossover segment shape group.

[0036] The panel allocation sub-module calls the frequency and movement trend crossover segment shape group, makes a joint classification judgment on the continuous cycle number of the crossover paragraph and the movement trend curvature, calculates the frequency change amplitude, matches the preset stage display panel number according to the classification result, and assigns the corresponding number label in the cycle sequence to obtain the shooting mode recognition label; The formula for calculating the frequency change amplitude is as follows: ; Among them, F represents the frequency change amplitude, N represents the total number of crossover paragraphs, represents the frequency change value of the a-th group of crossover paragraphs, represents the time difference of the a-th group of crossover paragraphs; Parameter meaning and formula calculation derivation process: N represents the total number of crossover paragraphs, obtained according to the data set division method. In actual operation, N is divided from the collected frequency data according to a preset time period. Set the data to be obtained from a certain measurement point, and there are 50 data points in total. Each data point represents a crossover paragraph, so N = 50; represents the frequency change value of the a-th group of crossover paragraphs, which reflects the difference in frequency between a specific crossover paragraph and the previous paragraph. In actual calculation, is obtained through the following method: ; Among them, is the frequency of the a-th crossover paragraph, is the frequency of the previous cross-section. Set the frequency of the second group of cross-sections to 10 Hz and the frequency of the first group of cross-sections to 8 Hz, then: ; represents the time difference of the a-th group of cross-sections. This value reflects the time interval between two adjacent cross-sections and is obtained through measurement or calculation. In actual operation, it can be calculated in the following way: ; where, and represent the timestamps of the a-th group of cross-sections and the previous group of cross-sections respectively. Set the timestamp of the second group of cross-sections to 5 seconds and the timestamp of the first group of cross-sections to 4 seconds, then: ; is the adjustment coefficient. The purpose is to adjust the influence of frequency change through the reciprocal of the square root of the time difference. Its function is that when the time difference is small (i.e., the frequency change is fast), the adjustment coefficient increases to emphasize the influence of frequency change; when the time difference is large, the adjustment coefficient decreases to reduce the influence of frequency change; For = 1 s, the adjustment coefficient is: ; Formula calculation example: Set for the first to third groups of cross-sections, the measured frequency changes and time differences are as follows: The first group: frequency = 8 Hz, time = 4 s; The second group: frequency = 10 Hz, time = 5 s; The third group: frequency = 12 Hz, time = 7 s; Then the frequency changes and time differences are respectively = 10 - 8 = 2; = 5 - 4 = 1; Adjustment coefficient: ; For the third group: = 12 - 10 = 2; = 7 - 5 = 2; Adjustment coefficient: ; Substitute the results obtained above into the formula: ; The results show that in these three cross - sections, the fluctuation range of the frequency is 2.47 Hz. This value is calculated from the frequency change amount and time interval of each cross - section, reflecting the frequency change trend in the data sequence.

[0037] Specifically, as Figure 2 shown, the terminal output module includes: The panel call sub - module, based on the shooting mode recognition label, combines the interface output panel numbers corresponding to multiple stages, refers to the mapping between the numbers and the preset output panels, extracts the corresponding interface structure parameters, display element layout formats, and layer combination configurations, and obtains an output panel parameter group; In the system, a mapping relationship table between the preset multi - stage output panel numbers and each mode label is loaded. Each mode label is associated and matched with its corresponding interface number. Set the panel number corresponding to label A1 as P01 and label A2 as P02. After the system traverses all labels and matches the panel numbers one by one, it retrieves the output panel configuration parameter file corresponding to this number. This file contains interface structure parameters for display such as coordinate system ratio, window size, scale interval of the ruler, etc. At the same time, it also contains display element layout formats for visual presentation, such as graphic module layout, hit point icon style, position distribution of the statistical information bar. There are also multiple layer combination configuration relationships set, including the stacking order and transparency settings of the background layer, real - time data layer, and instruction prompt layer. The system integrates and encapsulates all the above interface content parameters into a complete output panel parameter group. This parameter group is stored in a structured format and is called in real - time by the interface update module to ensure that in different shooting mode stages, the corresponding interface styles can be automatically matched according to the mode characteristics and dynamic switching operations can be completed, obtaining the output panel parameter group.

[0038] The interface update sub - module calls the output panel parameter group and the target - reporting mapping center update point, identifies the interface coordinate section within the calibration area where the update point is located, replaces the coordinates of the center point position of the hit display area, expands and adjusts the contour extension layer, and extends and covers the edge pixel area according to the panel parameters to obtain the updated structure of the hit interface layer; Call the latest target mapping center update point, identify the calibration area number where the update point is located in the current interface display area, and determine the specific coordinate segment of the area in the overall interface coordinate system according to the interface structure parameters. Set the update point to be located in the middle left area, and the interface coordinate segment range is 20% to 40% horizontally and 40% to 60% vertically. The system locates the center point of the hit display area in this area and replaces the original center coordinates with the spatial position coordinates of the update point to complete the real-time correction of the interface hit focus, adjust the outer boundary of the contour layer, determine the edge image extension range according to the edge control field in the panel parameters, set the layer edge width to expand by 5% and fill the extension area with grayscale background or translucent color blocks. The system fills the edge pixels by segment and ensures that the layer connection is smooth and without mutation. It integrates the center point correction information, the outer boundary update content and the idle layer channel for trajectory superposition, providing a complete and compatible data carrier for the subsequent trajectory visualization module to obtain the hit interface layer update structure.

[0039] The trajectory drawing submodule calls the hit coordinate time series corresponding to the target reporting mapping center update point according to the hit interface layer update structure, connects the hit point coordinates in chronological order, superimposes them to the interface update layer and sets the node style and trajectory transparency parameters to generate a layer-linked hit trajectory image; The hit coordinate time series associated with the target reporting mapping center update point is called. The sequence records the timestamps of each hit event and the corresponding coordinate points. The system sorts all hit points in chronological order, and connects adjacent points in sequence to form a complete hit trajectory path. The path connects the points in a broken line manner. The line segment connection style can be set between the nodes, such as solid line, dotted line or arrow direction prompt. At the same time, the identification graphics are superimposed at the node position to distinguish key hit events. A larger dot is set to represent the initial hit, and a triangle represents continuous and rapid hits. The transparency parameters of the trajectory segment are set to highlight the starting and ending areas of the path. The starting segment can be set to a lower transparency, and the ending segment is set to a high transparency to enhance the visual guidance. After the trajectory is superimposed, it is automatically bound to the hit display area in the update layer, and the coordinate scaling and position calibration are automatically performed according to the size ratio of the current panel. It not only supports the graphic presentation of continuous shooting behavior, but also can be linked with the training score evaluation, playback recording and other functions to generate a layer-linked hit trajectory image.

[0040] See also Figure 3 The intelligent individual target reporting system method is executed based on the above-mentioned intelligent individual target reporting system, and includes the following steps: S1: Obtain the point temperature data of the target surface sensor array, extract the heat gradient direction between measurement points, analyze the spatial displacement trend of the end offset direction of the main channel at the reference center point, and combine the displacement trend to correct the range of the impact point positioning reference area to generate a target surface calibration annotation layer; S2: Call the boundary of the hit point area of the target surface calibration annotation layer, record the characteristics of the peak value of the target surface force vibration and the time point of the ballistic incident angle, evaluate the consistency between the peak duration period and the reverse characteristic of the incident angle, and screen the hit point coordinates with the angle deviation exceeding the determination condition to generate a hit distribution coordinate set; S3: Use the hit distribution coordinate set to monitor the curve sequence of the single soldier's gun-holding posture angle, evaluate the consistency between the posture angle and the offset direction of the hit point, and combine the center of gravity coordinates of the target surface offset mapping area to generate an updated point of the target reporting mapping center; S4: Based on the updated point of the target reporting mapping center, analyze the cross-section shape of the intersection of the shooting frequency change curve and the target movement distance trend, assign the display panel number corresponding to the shooting mode state, and generate a shooting mode recognition label; S5: Call the interface panel number specified by the shooting mode recognition label, combine the calibration area coordinates of the updated point of the target reporting mapping center, update the hit display center point and the contour extension parameters, synchronously mark the position of the hit coordinates after mapping and overlay the trajectory sequence to generate a layer-linked hit trajectory image.

[0041] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An intelligent individual target reporting system, characterized in that: The system comprises: The target surface calibration module obtains the target surface sensor array point temperature data set in the shooting training field, extracts the target surface thermal expansion main channel record according to the heat gradient direction between the measuring points in the array, analyzes the spatial displacement trend of the main channel end offset direction at the target surface reference center point, and generates the target surface calibration annotation layer; The hit recognition module calls the target surface calibration annotation layer, records the target surface force vibration peak value and the ballistic incident angle time point characteristics, evaluates the consistency of the peak duration period and the incident angle reverse characteristics, screens the hit points that do not meet the angle consistency judgment conditions, and obtains the hit distribution coordinate set; The offset mapping module monitors the posture angle curve sequence of a single soldier holding a gun during continuous burst shooting training according to the hit distribution coordinate set, analyzes the consistency of the offset direction between the posture angle and the hit point position, and outputs the target reporting mapping center update point; The mode switching module determines the cross-section morphology of the shooting frequency change curve and the target movement distance change trend within the real-time period based on the target reporting mapping center update point, analyzes the shooting mode status and assigns the real-time stage display panel number to form a shooting mode identification label.

2. The intelligent individual target reporting system according to claim 1 is characterized in that: The target surface calibration annotation layer includes the reference area range, thermal expansion main channel recording parameters, and center offset trend parameters; the hit distribution coordinate set includes coordinate screening conditions, peak consistency parameters, and incident angle deviation range; the target reporting mapping center update point includes disturbance intensity index, direction matching ratio, and center of gravity mapping parameter; the shooting mode identification label includes panel number, frequency change paragraph, and moving trend intersection.

3. The intelligent individual target reporting system according to claim 1 is characterized in that: The target surface calibration module comprises: The temperature monitoring submodule obtains the target surface sensor array point temperature data in the shooting training field, collects multi-point temperatures in real time, analyzes the temperature change trend between measurement points, monitors the direction of heat gradient, and obtains the main channel record of thermal expansion; The thermal expansion analysis submodule monitors the terminal temperature and thermal expansion trend of the main channel based on the thermal expansion main channel record, analyzes the offset direction of the main channel on the reference center point, compares the terminal offset value with the reference center point position, and generates the target surface thermal expansion spatial offset trend; The impact point calibration submodule calls the target surface thermal expansion space offset trend, monitors the impact point offset area, analyzes the coincidence rate of the offset vector direction and the area center point, determines the impact point positioning offset interval, and generates a target surface calibration annotation layer.

4. The intelligent individual target reporting system according to claim 3 is characterized in that: The hit identification module comprises: The hit point detection submodule calls the hit point area boundary in the target surface calibration annotation layer, extracts the hit point coordinates, monitors the target surface force vibration peak value, and generates a hit point feature set in combination with the ballistic incident angle time point features; The feature consistency evaluation submodule analyzes the target surface vibration peak duration period based on the hit point feature set, monitors the reverse change trend of the trajectory incident angle, evaluates the synchronization degree of the vibration peak period and the incident angle change sequence, and obtains the peak angle consistency data set; The hit point screening submodule calls the peak angle consistency data set, screens the hit points that do not meet the angle consistency judgment conditions, marks abnormal hit points, removes hit points that do not meet the consistency conditions, and generates a hit distribution coordinate set.

5. The intelligent individual target reporting system according to claim 4 is characterized in that: The offset mapping module comprises: The hit extraction submodule uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequence of each shot hit point, calculates the hit point stability characteristic value, selects the coordinate set within the stable hit point interval, and generates a target surface stable hit area coordinate group; The formula for calculating the hit point stability characteristic value is as follows: ； Among them, DA represents the characteristic value of hit point stability, Represents the horizontal coordinate value of the i-th hit point, Represents the vertical coordinate value of the i-th hit point, represents the mean of the horizontal coordinates of the hit points, represents the mean of the vertical coordinates of the hit points, and n represents the total number of hit points; The posture monitoring submodule calls the time series data of the posture angle of a single soldier holding a gun recorded during training based on the coordinate group of the stable hit area of ​​the target surface, pairs the posture angle change trend corresponding to multiple time periods with the coordinate change, evaluates the corresponding relationship between the posture angle change sequence and the burst hit time, and obtains the posture angle dynamic change sequence; The direction consistency submodule extracts the correspondence between the direction of attitude angle change and the direction of hit point coordinate change according to the dynamic change sequence of attitude angle, determines whether the direction changes of adjacent attitude angles are consistent with the offset direction of the hit point, adjusts the direction weight distribution of the coordinate group of the stable hit area of ​​the target surface, and obtains the target reporting mapping center update point.

6. The intelligent individual target reporting system according to claim 5 is characterized in that: The mode switching module comprises: The frequency extraction submodule records adjacent shooting time nodes based on the target reporting mapping center update point, detects the shooting trigger time interval sequence within the cycle, arranges the frequency changes according to the cycle, and obtains the periodic shooting frequency curve; The trend detection submodule calls the periodic shooting frequency curve, extracts the target moving position coordinates corresponding to the shooting period, analyzes the target moving distance sequence in the continuous period, pairs and compares the frequency change direction and the distance change direction in the same period, identifies the change direction reversal interval and determines whether the trend crosses, and obtains the frequency and moving trend cross segment morphology group; The panel allocation submodule calls the frequency and movement trend intersection segment morphology group, jointly classifies and judges the number of continuous cycles of the intersection segment and the movement trend curvature, calculates the frequency change amplitude, matches the preset stage display panel number according to the classification result, allocates the corresponding number label in the periodic sequence, and obtains the shooting mode identification label.

7. The intelligent individual target reporting system according to claim 6 is characterized in that: The formula for calculating the frequency variation amplitude is as follows: ； Among them, F represents the frequency change amplitude, N represents the total number of cross-sections, Represents the frequency change value of the a-th group of cross-sections, Represents the time difference of the ath group of intersection segments.

8. The intelligent individual target reporting system according to claim 1 is characterized in that: The system also includes a terminal output module: The terminal output module calls the interface output panel number specified by the shooting mode identification tag, combines the calibration area corresponding to the target reporting mapping center update point, updates the interface of the hit display center point and the contour extension of the target reporting terminal, synchronously marks the hit coordinate position after mapping and displays the hit sequence trajectory, and obtains the layer linkage hit trajectory image; The layer linkage hit trajectory image includes center point coordinates, contour extension parameters, trajectory sequence data, and synchronous annotation positions.

9. The intelligent individual target reporting system according to claim 8, characterized in that: The terminal output module comprises: The panel calling submodule extracts the corresponding interface structure parameters, display element layout format and layer combination configuration based on the shooting mode identification tag, combined with the interface output panel numbers corresponding to the multiple stages, and with reference to the mapping between the numbers and the preset output panels, to obtain the output panel parameter group; The interface update submodule calls the output panel parameter group and the target mapping center update point, identifies the interface coordinate segment in the calibration area where the update point is located, replaces the coordinates of the center point position of the hit display area, expands and adjusts the outline extension layer, and extends the edge pixel area according to the panel parameters to obtain the hit interface layer update structure; The trajectory drawing submodule calls the hit coordinate time series corresponding to the target reporting mapping center update point according to the hit interface layer update structure, connects the hit point coordinates in chronological order, superimposes them on the interface update layer, sets the node style and trajectory transparency parameters, and generates a layer-linked hit trajectory image.

10. An intelligent individual target reporting system method, characterized in that: The method is used to implement the intelligent individual target reporting system according to any one of claims 1 to 9, and comprises the following steps: S1: Obtain the target surface sensor array point temperature data, extract the heat gradient direction between the measuring points, analyze the spatial displacement trend of the main channel end offset direction at the reference center point, correct the impact point positioning reference area range based on the displacement trend, and generate the target surface calibration annotation layer; S2: calling the hit point area boundary of the target surface calibration annotation layer, recording the target surface force vibration peak value and the ballistic incident angle time point characteristics, evaluating the consistency of the peak duration period and the incident angle reverse characteristics, screening the hit point coordinates whose angle deviation exceeds the judgment condition, and generating a hit distribution coordinate set; S3: using the hit distribution coordinate set, monitoring the posture angle curve sequence of a single soldier holding a gun, evaluating the consistency between the posture angle and the offset direction of the hit point, and combining the centroid coordinates of the target surface offset mapping area to generate a target reporting mapping center update point; S4: Based on the target reporting mapping center update point, analyzing the cross-section morphology of the shooting frequency change curve and the target moving distance trend, assigning a display panel number corresponding to the shooting mode state, and generating a shooting mode identification tag; S5: Call the interface panel number specified by the shooting mode identification tag, combine the calibration area coordinates of the target reporting mapping center update point, update the hit display center point and contour extension parameters, synchronously mark the hit coordinate position after mapping and superimpose the trajectory sequence to generate a layer-linked hit trajectory image.

Images