Intelligent individual soldier target reporting system and method

Abstract

The present invention relates to the field of intelligent target reporting technology, specifically an intelligent individual target reporting system and method thereof, wherein the system includes a target surface calibration module, a hit recognition module, an offset mapping module, a mode switching module, and a terminal output module. In the present invention, by collecting temperature data of a target surface sensor and analyzing a 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 are inconsistent with the preset angle consistency are screened out, effectively improving the authenticity and reliability of the shooting data, monitoring the changes in the shooter's gun holding posture during continuous shooting, correlating the posture changes with the hit offset, helping to adjust the shooting posture, improving the overall accuracy of the shooting, and dynamically adjusting the shooting mode, so that the shooter can better adapt to different shooting environments, significantly improving the pertinence and effect of the training.

Description

Technical Field

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

[0002] The field of intelligent target reporting technology encompasses automated target detection and analysis for shooting training and assessment. This area utilizes various sensors and image processing techniques to monitor and evaluate shooting results in real time, providing instant feedback to the shooter. Core elements include target recognition, automatic impact point calculation, and instantaneous display of shooting results. Developments in this overall technology area aim to improve the efficiency and accuracy of shooting training through automation, reduce manual intervention, and provide customized training recommendations and progress assessments through data analysis.

[0003] The "Intelligent Individual Target Reporting System" is a shooting training system designed specifically for individual soldiers, integrating automatic target detection and shooting result reporting. The patent addresses the automatic identification of targets and the precise calculation of firing points. Specifically, this system utilizes a combination of embedded sensors and a microprocessor to collect shooting data, perform basic data analysis, and then report shooting results directly on a user interface. This system utilizes simple and effective data processing methods, relying on fixed algorithms for rapid result calculation and display.

[0004] Existing shooting training systems rely heavily on manual judgment and simple sensor feedback, limiting the precision and adaptability of shooting training. Without temperature gradient analysis, errors caused by subtle target deformation or environmental factors are difficult to correct in a timely manner, directly impacting shooting accuracy. The lack of analysis directly linking shooting posture to hit outcomes makes it difficult for shooters to receive specific feedback on the impact of their shooting habits, leading them to unknowingly repeat incorrect shooting movements. These shortcomings limit the efficiency and effectiveness of traditional shooting training in improving individual shooter skills, hindering rapid skill improvement and precision training. Summary of the Invention

[0005] In order to solve the problem of insufficient precision and adaptability of shooting training in the existing technology, in the absence of temperature gradient analysis, errors caused by slight deformation of the target surface or environmental factors are difficult to be corrected in time, which directly affects the improvement of shooting accuracy. The lack of analysis of the direct correlation between shooting posture and hit effect makes it difficult for shooters to obtain specific feedback on the impact of their shooting habits, and they repeat incorrect shooting actions unknowingly. The shortcomings limit the efficiency and effectiveness of traditional shooting training in improving the individual skills of shooters, which is not conducive to the rapid improvement of shooter skills and accurate training. In order to solve the technical problem, an embodiment of the present invention provides an intelligent individual target reporting system and method. The technical solution is as follows:

[0006] On the one hand, an intelligent individual target reporting system is provided, the system comprising:

[0007] 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 measurement 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;

[0008] The hit recognition module calls the target surface calibration annotation layer, records the target surface force vibration peak and the ballistic incident angle time point characteristics, evaluates the consistency of the peak duration period and the incident angle reverse characteristics, filters the hit points that do not meet the angle consistency judgment conditions, and obtains the hit distribution coordinate set;

[0009] The offset mapping module monitors the posture angle curve sequence of the individual soldier's gun holding posture during the continuous burst shooting training based on the hit distribution coordinate set, analyzes the offset direction consistency between the posture angle and the hit point position, and outputs the target reporting mapping center update point;

[0010] 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 a real-time stage display panel number to form a shooting mode identification label.

[0011] As a further solution of the present invention, 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 movement trend intersection.

[0012] As a further solution of the present invention, the target surface calibration module includes:

[0013] 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;

[0014] The thermal expansion analysis submodule monitors the temperature and thermal expansion trend of the end of the main channel based on the thermal expansion main channel record, analyzes the offset direction of the main channel at the reference center point, compares the end offset value with the reference center point position, and generates the target surface thermal expansion spatial offset trend;

[0015] The impact point calibration submodule calls the target surface thermal expansion space offset trend, monitors the impact point offset area, analyzes the coincidence rate between the offset vector direction and the area center point, determines the impact point positioning offset interval, and generates a target surface calibration annotation layer.

[0016] As a further solution of the present invention, the hit identification module includes:

[0017] 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, and generates a hit point feature set based on the ballistic incident angle time point features;

[0018] The feature consistency assessment 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, and evaluates the degree of synchronization between the vibration peak period and the incident angle change sequence to obtain a peak angle consistency data set;

[0019] 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, eliminates hit points that do not meet the consistency conditions, and generates a hit distribution coordinate set.

[0020] As a further solution of the present invention, the offset mapping module includes:

[0021] The hit extraction submodule uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequences 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;

[0022] The formula for calculating the hit point stability eigenvalue is as follows:

[0023] ;

[0024] 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;

[0025] The posture monitoring submodule, based on the target surface stable hit area coordinate group, calls the time series data of the individual soldier's gun posture angle recorded during training, matches the posture angle change trends corresponding to multiple time periods with the coordinate changes, evaluates the corresponding relationship between the posture angle change sequence and the burst hit time, and obtains the posture angle dynamic change sequence;

[0026] The direction consistency submodule extracts the correspondence between the direction of attitude angle change and the direction of hit point coordinate change based on 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 on the target surface, and obtains the target reporting mapping center update point.

[0027] As a further solution of the present invention, the mode switching module includes:

[0028] The frequency extraction submodule records adjacent shooting time nodes based on the target reporting map 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;

[0029] The trend detection submodule calls the periodic shooting frequency curve, extracts the target movement position coordinates corresponding to the shooting period, analyzes the target movement distance sequence in the continuous period, compares the frequency change direction and the distance change direction in the same period, identifies the change direction reversal interval and determines whether there is a trend intersection, and obtains the frequency and movement trend intersection segment morphology group;

[0030] 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.

[0031] As a further solution of the present invention, the formula for calculating the frequency variation amplitude is as follows:

[0032] ;

[0033] Among them, F represents the frequency change amplitude, N represents the total number of cross-sections, Represents the frequency change value of the cross-section of group a, Represents the time difference of the a-th group of cross sections.

[0034] As a further solution of the present invention, the system further includes a terminal output module:

[0035] 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 outline extension of the target reporting terminal, synchronously marks the hit coordinate position after mapping and displays the hit sequence trajectory, and obtains a layer-linked hit trajectory image;

[0036] The layer linkage hit trajectory image includes center point coordinates, contour extension parameters, trajectory sequence data, and synchronous annotation positions.

[0037] As a further solution of the present invention, the terminal output module includes:

[0038] 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 and the interface output panel numbers corresponding to the multiple stages, and refers to the mapping between the numbers and the preset output panels to obtain the output panel parameter group;

[0039] The interface update submodule calls the output panel parameter group and the target mapping center update point, identifies the interface coordinate segment 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 outline extension layer, and extends the edge pixel area according to the panel parameters to obtain the hit interface layer update structure;

[0040] The trajectory drawing submodule calls the hit coordinate time series corresponding to the target 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.

[0041] On the other hand, the intelligent individual target reporting system method is executed based on the above-mentioned intelligent individual target reporting system, comprising the following steps:

[0042] S1: Acquire the target surface sensor array point temperature data, extract the heat gradient direction between the measurement points, analyze the spatial displacement trend of the main channel end offset direction at the reference center point, and correct the impact point positioning reference area range based on the displacement trend to generate the target surface calibration annotation layer;

[0043] S2: Calling the hit point area boundary of the target surface calibration annotation layer, recording the target surface force vibration peak 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;

[0044] S3: Using the hit distribution coordinate set, monitor the posture angle curve sequence of the individual soldier holding the gun, evaluate the consistency between the posture angle and the offset direction of the hit point, and generate the target reporting mapping center update point in combination with the center coordinates of the target surface offset mapping area;

[0045] S4: Based on the target reporting mapping center update point, analyzing the cross-section morphology of the shooting frequency change curve and the target movement distance trend, assigning a display panel number corresponding to the shooting mode state, and generating a shooting mode identification tag;

[0046] 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.

[0047] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0048] By collecting temperature data from the target surface sensor and analyzing thermal expansion trends, the target surface can be more accurately calibrated, the impact point can be corrected, the target's positioning can be optimized, and the accuracy of shooting results can be enhanced. By recording the force vibration and ballistic characteristics of the target surface during shooting, hit points that do not conform to the preset angle can be screened out, effectively improving the authenticity and reliability of the shooting data. By monitoring the shooter's gun holding posture changes during continuous shooting and correlating posture changes with hit deviations, the shooter is provided with personalized feedback to help adjust their shooting posture and improve overall shooting accuracy. By analyzing the relationship between shooting frequency and target movement in real time, the shooting mode can be dynamically adjusted, allowing the shooter to better adapt to different shooting environments. This comprehensive and detailed analysis mechanism significantly improves the relevance and effectiveness of training. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 This is a schematic diagram of an intelligent individual target reporting system provided by an embodiment of the present invention;

[0051] Figure 2 Schematic diagram of the system framework of the present invention;

[0052] Figure 3 The present invention provides a flowchart of an intelligent individual target reporting system method. DETAILED DESCRIPTION

[0053] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0054] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0055] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.

[0056] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0057] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0058] The embodiment of the present invention provides an intelligent individual target reporting system, such as Figure 1-2 The schematic diagram of the intelligent individual target reporting system shown in FIG. 1 includes:

[0059] 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 based on the heat gradient direction between the measurement points in the array, analyzes the spatial displacement trend of the main channel end offset direction at the target surface reference center point, corrects the impact point positioning reference area range based on the offset trend, and generates the target surface calibration annotation layer;

[0060] The hit recognition module calls the boundary of the corresponding hit point area in the target surface calibration annotation layer, records the target surface force vibration peak and the ballistic incident angle time point characteristics, evaluates the consistency of the peak duration period and the incident angle reverse characteristics, filters out the hit points that do not meet the angle consistency judgment conditions, and obtains the hit distribution coordinate set;

[0061] The offset mapping module monitors the posture angle curve sequence of an individual soldier holding a gun during continuous burst shooting training based on the hit distribution coordinate set, analyzes the offset direction consistency between the posture angle and the hit point position, calculates the directional matching ratio of the posture disturbance intensity and the center of gravity of the target surface offset mapping area, and outputs the target reporting mapping center update point;

[0062] The mode switching module determines the intersection 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 a real-time stage display panel number to form a shooting mode identification label;

[0063] 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 outline extension of the target reporting terminal, synchronously marks the hit coordinate position after mapping and displays the hit sequence trajectory, and obtains a layer-linked hit trajectory image;

[0064] 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 segment, and movement trend intersection point; the layer-linked hit trajectory image includes center point coordinates, contour extension parameters, trajectory sequence data, and synchronous annotation position.

[0065] Specifically, if Figure 2 As shown, the target surface calibration module includes:

[0066] 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;

[0067] Before laying out the target surface sensor array in the shooting training ground, it is necessary to plan the points according to the target surface size. After determining the sensor layout density, thermocouples or infrared temperature sensor nodes are laid out on the target surface manually or mechanically. Each node must have a unique code and coordinate identification. After the sensor is tested, it is connected to the centralized control module and the sampling cycle is set. The temperature data is collected once per second. After each collection, the control module reads the data of each sensor node in sequence and marks the timestamp in real time. After transmitting it to the central processing unit, the temperature changes between each node are processed differentially. The temperature difference between adjacent measuring points can be judged according to the node distribution spacing, and the temperature data is collected one by one. The temperature distribution diagram of the entire target surface is drawn in the first step. The data matrix of temperature change over time is established through the temperature data of multiple periods obtained by continuous sampling. The matrix is ​​traversed and the areas with a continuous temperature increase trend are identified. The temperature difference and distribution direction between the areas are further used to determine the temperature expansion direction. The direction with a more obvious heat propagation path from the starting point to the outside is extracted from multiple directions. This direction is used as the preliminary candidate path for the main channel of thermal expansion. Then, by observing the stability of the continuous node temperature data on this path, it is verified whether it can be used as the main channel of thermal expansion. The channel direction and endpoint coordinates are marked to obtain the record of the main channel of thermal expansion.

[0068] The thermal expansion analysis submodule monitors the temperature and thermal expansion trend of the end of the main channel based on the thermal expansion main channel record, analyzes the offset direction of the main channel at the reference center point, compares the end offset value with the reference center point position, and generates the target surface thermal expansion spatial offset trend;

[0069] After acquiring the main channel path and its start and end coordinates, the system receives temperature samples from the main channel's end nodes in real time and monitors their temperature trends at fixed intervals. If a continuous temperature increase is observed at the end region, the main channel is determined to be in the active thermal expansion phase. Simultaneously, temperature change information is collected at the midpoints of the path. The path midpoint is used as a reference point for comparison with the main channel's end points to infer the direction of heat shift in space. This shift is determined based on the temperature changes between the nodes and the angular relationship between the path directions. If the expansion direction of the path's end point differs from the direction of the line connecting the midpoints, and the offset distance exceeds a set threshold, the system identifies a shift in the main channel's thermal expansion direction. This shift is caused by environmental interference or structural reflection. The system then redraws the path based on the offset angle and distance, using the current end point of the main channel as the new end point coordinate. The system then combines the path trajectory and temperature data to construct a channel expansion model. A spatial trend graph, including the channel shift direction and path updates, is generated on a two-dimensional coordinate map of the target surface for subsequent use and impact point error correction. This ensures that the data has time tags, coordinate alignment, and visual annotation properties, generating a spatial shift trend for target surface thermal expansion.

[0070] The impact point calibration submodule calls the target surface thermal expansion spatial offset trend, monitors the impact point offset area, analyzes the coincidence rate between the offset vector direction and the area center point, determines the impact point positioning offset interval, and generates a target surface calibration annotation layer;

[0071] Perform layer alignment processing, spatially superimpose the thermal channel path map and the current impact point coordinate map, complete layer registration through coordinate reference point positioning, identify the impact point concentration area and extract its center point coordinates, and further determine the spatial coincidence relationship between the center point and the thermal expansion channel center path. After identifying multiple impact point concentration areas, calculate the distribution shape and density parameters of each area, identify impact point clusters with obvious directional offsets, and compare their directional offset directions with the main offset directions of the thermal channel. If the directions are basically consistent 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 reversely adjust the impact point position, determine the corrected displacement direction based on the thermal channel offset direction, and set the correction amplitude based on the offset distance. The corrected impact point coordinates are re-annotated to the layer. The new layer includes the original coordinates, corrected coordinates, corrected difference vectors and corresponding node numbers. The spatial position calibration of all impact points on the target surface can be completed in batches to generate a target surface calibration annotation layer.

[0072] Specifically, if Figure 2 As shown, the hit identification module includes:

[0073] 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, and generates a hit point feature set based on the ballistic incident angle time point features;

[0074] The coordinates of the marked area boundary of each hit point in the layer are loaded, and the spatial position information and corresponding number of each hit point are extracted. At the same time, combined with the force vibration data recorded by the target surface sensor, the time point at which the vibration peak appears at each hit point position is screened out, and its vibration amplitude, duration when the vibration occurs, and response frequency characteristics are marked. Then, the ballistic incident angle information recorded by the shooting is aligned with the sensor detection time axis to determine whether the time point of each vibration peak coincides with the time point of the ballistic incident angle. If the time point difference is within the set time window, for example, within ±10 milliseconds, the vibration signal is considered to be a valid hit response. At the same time, the ballistic incident angle value, hit point coordinates, vibration amplitude and duration corresponding to the time point are extracted as the feature information of the hit. The hit points that meet the conditions are processed one by one and summarized into a feature data list. The list includes the two-dimensional coordinates, hit time, vibration peak size, duration period, incident angle value and number of each hit point, forming a hit point feature set.

[0075] The feature consistency assessment 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, and evaluates the degree of synchronization between the vibration peak period and the incident angle change sequence to obtain a peak angle consistency data set;

[0076] A vibration peak period analysis is performed on each set of hit point data, and the complete time period from the appearance to the disappearance of the vibration signal is extracted. The continuous values ​​of the vibration intensity changing with time are recorded to form a vibration period curve. At the same time, the trend trajectory of the incident angle of the hit point changing with time is compared to check whether there is an obvious angle reversal phenomenon, that is, whether the shooting trajectory reverses or deflects in direction when approaching the hit point. If there is a continuous change in the incident angle and a reverse offset occurs near the hit point, the angle change sequence is extracted and aligned with the vibration period on the time axis. The synchronization relationship between the two is analyzed to determine whether the rising phase 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 overlap in time, the hit point is considered to have good angle consistency. The system records data with high synchronization overlap as samples with high consistency scores, otherwise it is recorded as poor consistency. By performing this type of analysis on the hit points, a peak angle consistency data set is generated.

[0077] 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, eliminates hit points that do not meet the consistency conditions, and generates a hit distribution coordinate set;

[0078] The consistency judgment standard is set. The synchronization delay shall not exceed 15 milliseconds. The angle change trend must be continuous and uninterrupted. The hit point records are traversed and the consistency score of each data is compared one by one according to the set threshold. If a hit point has obvious deviation in the synchronization of the vibration cycle and the angle change, such as the time offset exceeds the threshold or the angle reverse trend is not obvious, it will be identified as an abnormal point. The system sets such data as abnormal hit points through the marking mechanism and makes a significant mark in the layer for manual review or automatic removal. The removal operation does not affect the original layer structure. Only data that does not meet the consistency conditions is removed from the hit set to be analyzed. The remaining eligible hit points are summarized, including the spatial positions of the hit points that have been calibrated, verified, and screened, and can be used for subsequent accuracy evaluation, hit rate statistics, and automatic scoring function calls for training to generate a hit distribution coordinate set.

[0079] Specifically, if Figure 2 As shown, the offset mapping module includes:

[0080] The hit extraction submodule uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequences 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;

[0081] The formula for calculating the hit point stability eigenvalue is as follows:

[0082] ;

[0083] 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;

[0084] Parameter meaning and formula calculation derivation process:

[0085] Represents the lateral coordinate value of the i-th hit point, obtained through the lateral data of each shooting point on the target surface;

[0086] represents the longitudinal coordinate value of the i-th hit point, obtained through the longitudinal data of each shooting point on the target surface;

[0087] Represents the mean of the horizontal coordinates of the hit point, which is obtained by averaging the horizontal coordinates of the hit point. The formula is:

[0088] ;

[0089] 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:

[0090] ;

[0091] In the formula, the first term It reflects the absolute value of the product of the horizontal and vertical coordinate deviations of each hit point relative to the mean. This item evaluates the stability of the hit point by quantifying the deviation of the horizontal and vertical coordinates.

[0092] Item 2 The standard deviation of the horizontal coordinates of the hit points was calculated to reflect the dispersion of the horizontal data;

[0093] Item 3 The variance of the vertical coordinates of the hit points was calculated to reflect the degree of dispersion of the vertical data;

[0094] There are five hit points, and the horizontal and vertical coordinate data are as follows:

[0095] Hit point 1: =2, =3;

[0096] Hit point 2: =4, =2;

[0097] Hit point 3: =5, =6;

[0098] Hit point 4: =7, =5;

[0099] Hit point 5: =8, =7;

[0100] Calculate the mean and :

[0101] ;

[0102] ;

[0103] Calculate the first term:

[0104] Calculate the second term:

[0105] ;

[0106] Calculate the third term:

[0107] ;

[0108] Compute stability eigenvalues:

[0109] ;

[0110] The results show 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 that the hit point has a large dispersion on the horizontal and vertical coordinates and poor stability.

[0111] The posture monitoring submodule, based on the target surface stable hit area coordinate group, calls the time series data of the individual soldier's gun posture angle recorded during training, matches the posture angle change trends corresponding to multiple time periods with the coordinate changes, evaluates the corresponding relationship between the posture angle change sequence and the burst hit time, and obtains the posture angle dynamic change sequence;

[0112] The system retrieves time series data of individual soldier's gun posture angles recorded during training, including the continuous changes in pitch, yaw, and roll angles sampled per second. The system compares the timestamps corresponding to the hit coordinates with similar time points in the posture angle time series. A sliding window method is used to retrieve posture data points within ±1 second, matching the hit time with the time point of the posture angle change. The attitude angle change trend over multiple time periods is obtained and paired with the spatial change trend of the hit point coordinates for analysis. The system determines whether the spatial offset of each burst hit point corresponds to the direction of the attitude angle change at that moment. If the hit point shifts leftward in the lateral direction and the yaw angle at the corresponding time shows a leftward trend, it is recorded as a directionally consistent sample. This matching process is performed on the hit points, and a correlation table of attitude angle change curves and hit point displacement trends is compiled. The table, indexed by the hit number, includes the attitude angle value, change slope, directional increase or decrease trend, and associated hit coordinate displacement data. This data is used as input for the next step of direction consistency analysis to obtain a dynamic attitude angle change sequence.

[0113] The direction consistency submodule extracts the correspondence between the attitude angle change direction and the hit point coordinate change direction based on the attitude angle dynamic change sequence, determines whether the adjacent attitude angle direction changes are consistent with the hit point offset direction, adjusts the direction weight distribution of the target surface stable hit area coordinate group, and obtains the target reporting mapping center update point;

[0114] The relationship between the direction of change of the attitude angle and the direction of change of the hit point coordinates in each set of data is extracted to determine whether the direction of change of the attitude angle within two adjacent time points is consistent with the offset direction of the hit point coordinates. The system first calculates the moving direction vector of the hit point between each hit, and performs direction encoding on the direction of increase or decrease of the attitude angle, setting the angle increase as the positive direction and the angle decrease as the negative direction. Then, the horizontal or vertical coordinate change trend of the hit point is converted into the same encoding format for direction comparison. If the encoding results of the two are consistent, they are considered to be consistent in direction, otherwise they are inconsistent. The proportion of hit points with consistent directions in all data is counted, and the consistency score is calculated. Based on the consistency result, the direction weight value of each point in the coordinate group of the stable hit area of ​​the target surface is redistributed, and high weights are given to areas with high degree of direction consistency. On this basis, the system recalculates the weighted geometric center of the entire hit area. This update point is used for the training system to output the hit center annotation and training evaluation content, and synchronously updates the center coordinate position information of the target surface visualization display layer as the center update point of the target reporting mapping.

[0115] Specifically, if Figure 2 As shown, the mode switching module includes:

[0116] The frequency extraction submodule records adjacent shooting time nodes based on the target reporting map 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;

[0117] Obtain the timestamps corresponding to two or more consecutive hit events, establish a time series list, and calculate the time difference between each two adjacent shooting hit events after sorting them in chronological order. Organize all time intervals into a shooting trigger interval sequence, then set a fixed-length analysis period window, setting every 30 seconds as a period. Within this period, count all shooting trigger intervals and calculate the number of shots per unit time as the frequency value of the period. Similarly, calculate the shooting frequency in multiple period segments during the entire shooting process, and finally form a complete periodic shooting frequency curve. The curve uses the period number as the horizontal axis and the unit frequency as the vertical axis. The frequency value of each period reflects the shooting density level of that stage. If the frequency value in a period increases or decreases significantly, it indicates that the shooting behavior in that stage has changed. The frequency extraction process also synchronously records the hit coordinates and posture information corresponding to each trigger event to ensure the correlation between frequency data and spatial data. The data is stored as a data point sequence to obtain the periodic shooting frequency curve.

[0118] The trend detection submodule calls the periodic shooting frequency curve, extracts the target movement position coordinates corresponding to the shooting period, analyzes the target movement distance sequence in the continuous period, compares the frequency change direction and the distance change direction in the same period, identifies the change direction reversal interval and determines whether there is a trend intersection, and obtains the frequency and movement trend intersection segment morphology group;

[0119] The target movement trajectory data corresponding to each shooting period is retrieved, and the starting and ending coordinates of the target position within each cycle are extracted. The actual movement distance of the target within each cycle is calculated to form a target movement distance sequence. This sequence records the target displacement and direction change information within each cycle. The frequency change direction is paired with 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 increases or decreases. The two change directions are combined and classified. If the frequency change direction and the target displacement change direction change from consistent to opposite in two consecutive cycles, it is identified as a trend direction reversal interval. Further determination is made as to whether the frequency change trend and the target movement trend intersect. If the frequency changes from increasing to decreasing and the target movement changes from decreasing to increasing, this intersection process is considered a trend intersection segment. The system records the cycle segment number and corresponding curve segment morphology of the intersection point, and analyzes the change rate and slope of the interval. The set of intervals with obvious intersection morphology is extracted as a frequency and movement trend intersection segment morphology group for shooting behavior pattern recognition and visualization processing, and the frequency and movement trend intersection segment morphology group is obtained.

[0120] The panel allocation submodule calls the frequency and movement trend intersection segment morphology group, performs joint classification and judgment on 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;

[0121] The formula for calculating the frequency variation is as follows:

[0122] ;

[0123] Among them, F represents the frequency change amplitude, N represents the total number of cross-sections, Represents the frequency change value of the cross-section of group a, Represents the time difference of the cross-section of group a;

[0124] Parameter meaning and formula calculation derivation process:

[0125] N represents the total number of cross-sections, which is obtained based on the way the data set is divided. In actual operation, N is divided by the collected frequency data according to the preset time period. Set the data to be obtained from a certain measurement point, with a total of 50 data points, each data point represents a cross-section, then N=50;

[0126] Indicates the frequency change value of the a-th group of cross-paragraphs. This value reflects the difference between the frequency of a specific cross-paragraph and the previous one. In actual calculation, Obtained through:

[0127] ;

[0128] in, is the frequency of the ath cross-section, is the frequency of the previous crossover segment. Set the frequency of the second crossover segment to 10Hz and the frequency of the first crossover segment to 8Hz. Then:

[0129] ;

[0130] Indicates the time difference of the a-th group of intersection segments. This value reflects the time interval between two adjacent intersection segments and is obtained by measurement or calculation. In actual operation, It can be calculated as follows:

[0131] ;

[0132] in, and Represent the timestamps of the ath group of cross-paragraphs and the previous group of cross-paragraphs respectively. Set the timestamp of the second group of cross-paragraphs to 5 seconds and the timestamp of the first group of cross-paragraphs to 4 seconds. Then:

[0133] ;

[0134] It is the adjustment coefficient, the purpose of which is to adjust the influence of frequency change by the inverse of the square root of the time difference. Its function is that when the time difference is small (that is, the frequency changes rapidly), the adjustment coefficient increases, emphasizing the influence of frequency change; when the time difference is large, the adjustment coefficient decreases, reducing the influence of frequency change;

[0135] for =1s, the adjustment factor is: ;

[0136] Formula calculation example:

[0137] For the 1st to 3rd set of cross sections, the measured frequency changes and time differences are as follows:

[0138] Group 1: Frequency =8Hz, time =4s;

[0139] Group 2: Frequency =10Hz, time =5s;

[0140] Group 3: Frequency =12Hz, time =7s;

[0141] The frequency change and time difference are =10-8=2; =5-4=1;

[0142] Adjustment factor: ;

[0143] For Group 3: =12-10=2; =7-5=2;

[0144] Adjustment factor: ;

[0145] Substitute the above results into the formula:

[0146] ;

[0147] The results show that the frequency fluctuation amplitude in these three cross sections is 2.47Hz. This value is calculated by the frequency change and time interval of each cross section, reflecting the frequency change trend in the data sequence.

[0148] Specifically, if Figure 2 As shown, the terminal output module includes:

[0149] 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 and the interface output panel numbers corresponding to the multiple stages, and refers to the mapping between the numbers and the preset output panels to obtain the output panel parameter group;

[0150] The system loads a preset mapping table of multi-stage output panel numbers and mode labels, associates and matches each mode label with its corresponding interface number, and sets the panel number corresponding to label A1 to P01, and label A2 to P02. After traversing all labels and matching panel numbers one by one, the system retrieves the output panel configuration parameter file corresponding to that number. This file contains interface structure parameters for display, such as coordinate system scale, window size, and ruler scale interval. It also includes the layout format of display elements for visual presentation, such as graphic module layout, hit point icon style, and the position distribution of statistical information columns. It also sets the configuration relationship of multiple layer combinations and sets the overlay order and transparency settings of the background layer, real-time data layer, and command prompt layer. The system integrates and encapsulates all of these interface content parameters into a complete output panel parameter group. This parameter group is stored in a structured format and can be called in real time by the interface update module, ensuring that the corresponding interface style can be automatically matched according to the mode characteristics in different shooting mode stages and dynamic switching operations can be completed, thus obtaining the output panel parameter group.

[0151] The interface update submodule calls the output panel parameter group and the target mapping center update point, identifies the interface coordinate segment 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 outline extension layer, and extends the edge pixel area according to the panel parameters to obtain the hit interface layer update structure;

[0152] The latest target mapping center update point is called, and the calibration area number of the update point in the current interface display area is identified. The system determines the specific coordinate segment of the area in the overall interface coordinate system based on the interface structure parameters. If the update point is set to the center left area, 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 within 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. The outer boundary of the contour layer is adjusted, and the edge image extension range is determined according to the edge control field in the panel parameters. The layer edge width is set to expand by 5% and a grayscale background or translucent color block is filled in the extension area. The system fills the edge pixels by segment and ensures that the layer connection is smooth and without abrupt changes. It integrates the center point correction information, the outer boundary update content and the idle layer channel for trajectory overlay, providing a complete and compatible data carrier for the subsequent trajectory visualization module to obtain the hit interface layer update structure.

[0153] The trajectory drawing submodule calls the hit coordinate time series corresponding to the target reporting map center update point according to the hit interface layer update structure, connects the hit point coordinates in chronological order, overlays them on the interface update layer, sets the node style and trajectory transparency parameters, and generates a layer-linked hit trajectory image;

[0154] The hit coordinate time series associated with the target 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 connection style between the nodes can be set, 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 represents the initial hit, and a triangle represents continuous and rapid hits. The trajectory segment sets the transparency parameter to highlight the starting and ending areas of the path. The starting segment can be set to a lower transparency and the ending segment 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 graphical 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.

[0155] See also Figure 3 The intelligent individual target reporting system method is based on the above-mentioned intelligent individual target reporting system and includes the following steps:

[0156] S1: Acquire the target surface sensor array point temperature data, extract the heat gradient direction between the measurement points, analyze the spatial displacement trend of the main channel end offset direction at the reference center point, and correct the impact point positioning reference area range based on the displacement trend to generate the target surface calibration annotation layer;

[0157] S2: Calling the hit point area boundary of the target surface calibration annotation layer, recording the target surface force vibration peak 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;

[0158] S3: Using the hit distribution coordinate set, monitor the posture angle curve sequence of the individual soldier holding the gun, evaluate the consistency between the posture angle and the offset direction of the hit point, and generate the target reporting mapping center update point in combination with the center coordinates of the target surface offset mapping area;

[0159] S4: Based on the target reporting mapping center update point, analyzing the cross-section morphology of the shooting frequency change curve and the target movement distance trend, assigning a display panel number corresponding to the shooting mode state, and generating a shooting mode identification tag;

[0160] 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.

[0161] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection 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 measurement 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 and the ballistic incident angle time point characteristics, evaluates the consistency of the peak duration period and the incident angle reverse characteristics, filters 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 the individual soldier's gun holding posture during the continuous burst shooting training based on the hit distribution coordinate set, analyzes the offset direction consistency 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 a real-time stage display panel number to form a shooting mode identification label.

2. The intelligent individual target reporting system according to claim 1, 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 parameters; the shooting mode identification label includes panel number, frequency change section, and movement trend intersection.

3. The intelligent individual target reporting system according to claim 1, characterized in that: The target surface calibration module includes: 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 temperature and thermal expansion trend of the end of the main channel based on the thermal expansion main channel record, analyzes the offset direction of the main channel at the reference center point, compares the end 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 between 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, characterized in that: The hit identification module includes: 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, and generates a hit point feature set based on the ballistic incident angle time point features; The feature consistency assessment 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, and evaluates the degree of synchronization between the vibration peak period and the incident angle change sequence to obtain a 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, eliminates 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, characterized in that: The offset mapping module includes: The hit extraction submodule uses the hit distribution coordinate set to detect the horizontal and vertical target surface coordinate value sequences 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 eigenvalue 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, based on the target surface stable hit area coordinate group, calls the time series data of the individual soldier's gun posture angle recorded during training, matches the posture angle change trends corresponding to multiple time periods with the coordinate changes, 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 based on 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 on the target surface, and obtains the target reporting mapping center update point.

6. The intelligent individual target reporting system according to claim 5, characterized in that: The mode switching module includes: The frequency extraction submodule records adjacent shooting time nodes based on the target reporting map 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 movement position coordinates corresponding to the shooting period, analyzes the target movement distance sequence in the continuous period, compares the frequency change direction and the distance change direction in the same period, identifies the change direction reversal interval and determines whether there is a trend intersection, and obtains the frequency and movement trend intersection 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, characterized in that: The formula for calculating the frequency variation 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 cross-section of group a, Represents the time difference of the a-th group of cross sections.

8. The intelligent individual target reporting system according to claim 1, 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 outline extension of the target reporting terminal, synchronously marks the hit coordinate position after mapping and displays the hit sequence trajectory, and obtains a layer-linked 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 includes: 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 and the interface output panel numbers corresponding to the multiple stages, and refers 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 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 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 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, comprising the following steps: S1: Acquire the target surface sensor array point temperature data, extract the heat gradient direction between the measurement points, analyze the spatial displacement trend of the main channel end offset direction at the reference center point, and correct the impact point positioning reference area range based on the displacement trend to 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 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, monitor the posture angle curve sequence of the individual soldier holding the gun, evaluate the consistency between the posture angle and the offset direction of the hit point, and generate the target reporting mapping center update point in combination with the center coordinates of the target surface offset mapping area; S4: Based on the target reporting mapping center update point, analyzing the cross-section morphology of the shooting frequency change curve and the target movement 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.

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