Team ball game tactical cooperation intelligent analysis method and system

Abstract

This invention discloses an intelligent analysis method and system for tactical coordination in team ball games, comprising: a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the following steps: acquiring trajectory data of the target team during the game; constructing a dynamic spatiotemporal pressure field of the target team during the offensive or defensive process; constructing a tactical chain of the target team in a single offensive or defensive round, the tactical chain consisting of multiple tactical events arranged in chronological order; calculating a coherence evaluation index of the tactical chain based on the evolutionary characteristics of the dynamic spatiotemporal pressure field on the tactical chain; and when a tactical chain interruption is detected, diagnosing the breakpoint in the tactical chain based on a preset diagnostic rule base, and outputting a diagnostic report including the breakpoint type, responsible member, and time of occurrence. Thus, a holistic analysis of the tactical chain can be achieved, systematically reflecting the dynamic progression and smoothness of tactical coordination.

Description

Technical Field

[0001] This invention relates to the field of sports competition, specifically to an intelligent analysis method and system for tactical coordination in team ball games. Background Technology

[0002] In the field of tactical analysis for team ball games, the widespread adoption of motion capture and positioning technologies has enabled the acquisition of high-precision spatiotemporal trajectory data of athletes and the ball during matches. Based on this data, those skilled in the art are dedicated to developing intelligent analysis systems to objectively and quantitatively evaluate a team's tactical performance, thereby assisting coaching teams in making training and match decisions.

[0003] Currently, typical intelligent analysis systems for tactical coordination mainly involve manually or automatically marking key events in a match and calculating statistical indicators such as the frequency, success rate, and location of these events. Alternatively, they may predefine several typical tactical coordination patterns and identify whether these specific routines have appeared in the match by matching the geometric or temporal characteristics of player trajectories with the preset patterns, and then count the number of times they are executed and their success rate.

[0004] It is clear from the above that existing methods cannot provide a holistic and coherent quantitative assessment and automated root cause diagnosis of the tactical chain formed by multiple continuous, dynamic, and progressive tactical coordinations in a complete offensive or defensive operation. Summary of the Invention

[0005] I. Technical Issues

[0006] Existing methods cannot provide a holistic and coherent quantitative assessment and automated root cause diagnosis of the tactical chain formed by multiple continuous, dynamic, and progressive tactical coordinations during a complete offensive or defensive operation. Consequently, they cannot systematically reflect the dynamic progressive effect and smoothness of tactical coordination, making it difficult to support coaching teams in completing precise tactical optimization and training guidance.

[0007] II. Technical Solution

[0008] Therefore, this invention discloses an intelligent analysis method for tactical coordination in team ball games, comprising the following steps:

[0009] Obtain the target team's trajectory data during the game;

[0010] Based on the trajectory data, a dynamic spatiotemporal pressure field is constructed for the target team during the offensive or defensive process.

[0011] Based on the trajectory data and the dynamic spatiotemporal pressure field, a tactical chain is constructed for the target team in a single offensive round or a single defensive round. The tactical chain consists of multiple tactical events arranged in chronological order.

[0012] Based on the evolution characteristics of the dynamic spatiotemporal pressure field on the tactical chain, the coherence evaluation index of the tactical chain is calculated.

[0013] When the tactical chain is detected to be interrupted, the breakpoint in the tactical chain is diagnosed based on a preset diagnostic rule base, and a diagnostic report is output, including the breakpoint type, responsible member, and time of occurrence.

[0014] In addition, the intelligent analysis method for team ball game tactical coordination disclosed in this invention may also have the following additional technical features:

[0015] Furthermore, a dynamic spatiotemporal pressure field is constructed for the target team during the offensive or defensive process, for any member of the target team. At any moment The spatiotemporal pressure index it experiences in the dynamic spatiotemporal pressure field Specifically:

[0016] ,in, For members and the opposing team The distance between them For members and the opposing team The relative speed between them For members The direction of attack or defense relative to the opponent's members Towards members The angle of the direction For the comprehensive pressure function, For members Compared to the opposing members The weighting coefficients.

[0017] Furthermore, members Compared to the opposing members Weighting coefficients Specifically:

[0018] When the opposing members Member On the passing path Conversely .

[0019] Furthermore, the dynamic spatiotemporal pressure field includes:

[0020] Based on members and the opposing team Distance between Generate distance pressure component Specifically:

[0021] ,in, For reference distance, The standard deviation of the reference distance;

[0022] Based on members and the opposing team relative velocity between Generation velocity pressure component Specifically:

[0023] ,in, For reference relative velocity, For reference, the standard deviation of relative velocity;

[0024] member The direction of attack or defense relative to the opponent's members Towards members Angle of direction Generate angular pressure component Specifically:

[0025] ,in, For indicating parameters.

[0026] Furthermore, the evaluation metrics for the coherence of the tactical chain include:

[0027] Pressure Flow Index Specifically:

[0028] ,in, The number of the tactical events. The average spatiotemporal pressure index for two adjacent tactical events is given. The maximum spatiotemporal pressure index of the tactical event;

[0029] Decision window utilization rate index Specifically:

[0030] ,in, For the ball-handling member Spatiotemporal pressure index At that moment, For the ball-handling member Spatiotemporal pressure index The moment;

[0031] Tactical progress efficiency index Specifically:

[0032] ,in, The number of tactical events that advance the course of events. To advance the net displacement, The total length of the opponent's court.

[0033] Furthermore, the diagnostic rule base specifically includes:

[0034] When the player with the ball The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds a first preset threshold, it is marked as a breakpoint in the tactical chain;

[0035] When the non-ball player The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the second preset threshold, it is marked as a breakpoint in the tactical chain;

[0036] When the receiving member The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the third preset threshold, it is marked as a breakpoint in the tactical chain.

[0037] Furthermore, another aspect of the present invention discloses an intelligent analysis system for tactical coordination in team ball games, comprising:

[0038] Memory, used to store computer programs;

[0039] A processor is used to implement the intelligent analysis method for team ball game tactical coordination when executing the computer program.

[0040] III. Beneficial Effects

[0041] The intelligent analysis method and system for team ball game tactical coordination disclosed in this invention can realize the overall analysis of the tactical chain composed of continuous tactical events in a single offensive or defensive round. By constructing a dynamic spatiotemporal pressure field based on trajectory data and combining the evolution characteristics of the pressure field, the system calculates the evaluation index of tactical chain coherence, reflecting the dynamic progressive effect and smoothness of tactical coordination.

[0042] Additional features and advantages of this invention will be set forth in the description which follows, or may be learned by practicing the invention. Attached Figure Description

[0043] The technical solution and beneficial effects of the present invention will become apparent and readily understood from the following description in conjunction with the accompanying drawings, wherein:

[0044] Figure 1The flowchart is a process for the intelligent analysis method of team ball game tactics coordination in this invention.

[0045] Figure 2 This is a flowchart illustrating the construction of the dynamic spatiotemporal pressure field in the intelligent analysis method for team ball game tactical coordination in this invention.

[0046] Figure 3 This is a flowchart of the pressure component calculation in the intelligent analysis method for team ball game tactical coordination in the present invention.

[0047] Figure 4 This is a flowchart of the coherence evaluation process in the intelligent analysis method for team ball game tactics coordination of the present invention. Detailed Implementation

[0048] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0049] The intelligent analysis method and system for team ball game tactics and coordination disclosed in this invention will now be described with reference to the accompanying drawings.

[0050] It should be noted that:

[0051] The dynamic spatiotemporal pressure field refers to a spatiotemporal dynamic field constructed based on the trajectory data of the target team during the game, used to quantitatively characterize the real-time offensive and defensive pressure experienced by the players on the field during the offensive or defensive process of the target team. This field can calculate the real-time pressure quantification value frame by frame and player by player, fully reflecting the dynamic situation of offensive and defensive confrontation throughout the entire game, and is the core basic model of the tactical analysis in this application.

[0052] The spatiotemporal pressure index, the core quantitative indicator of the dynamic spatiotemporal pressure field, refers to the normalized value of the comprehensive offensive and defensive pressure from all opposing members on any member i in the target team at time t. This value is calculated by weighted summation of the pressure components in three dimensions: distance, relative speed, and relative angle of attack and defense between the opposing members and the target members. It is the core basic data for the tactical coordination assessment and failure diagnosis of this application.

[0053] A tactical chain refers to a complete tactical execution sequence consisting of multiple tactical events arranged in chronological order within a single complete offensive or defensive round for a target team. It is a structured breakdown of the entire tactical execution process of a single offensive or defensive round, used to achieve a holistic and coherent analysis and evaluation of team tactical coordination.

[0054] A tactical event is the smallest independent unit that constitutes a tactical chain. It refers to a series of independent tactical execution links in a single offensive or defensive round, which are divided in chronological order and have clear tactical objectives and complete execution actions. Multiple tactical events are completely linked in chronological order, which can cover the entire process from the initiation of an offensive or defensive round to its termination. It is the basic carrier for dissecting the tactical execution process and analyzing the tactical connection relationship.

[0055] Advancing tactical events, a subcategory of tactical events, refer to tactical events that, during the execution of offensive and defensive rounds, can effectively advance the offensive and defensive space and create positive tactical value for the team; they are core statistical indicators for evaluating the effectiveness of tactical execution and are used for the quantitative calculation of tactical progress efficiency.

[0056] The Tactical Chain Coherence Evaluation Index refers to a core indicator system calculated based on the evolutionary characteristics of the dynamic spatiotemporal pressure field on the tactical chain. It is used to quantify the dynamic progressive effect and execution smoothness of team tactical cooperation. Specifically, it includes three core sub-indicators: pressure smoothness index, decision window utilization rate index, and tactical progress efficiency index.

[0057] The decision window, defined in this application, is the optimal tactical decision-making time interval for the ball-handling player. It is opened when the ball-handling player's spatiotemporal pressure index is ≤0.5 (the player is in a low-pressure environment and has sufficient space for observation, decision-making, and technical action execution), and closed when the ball-handling player's spatiotemporal pressure index is ≥0.7 (the player enters a high-pressure blockade state and loses the optimal decision-making conditions).

[0058] A breakpoint refers to the core failure node that causes the tactical chain to break. Specifically, it refers to the tactical link, time and spatial location at which the spatiotemporal pressure index of a specific tactical role member continuously rises and exceeds the corresponding preset threshold when performing the corresponding tactical action. Through this node, the specific link, time and responsible party of the tactical failure can be accurately located.

[0059] Tactical chain interruption refers to a state in which the execution of a tactical chain is disrupted by one or more breakpoints, causing the tactical execution to fail to proceed as expected and ultimately resulting in the abnormal termination of the offensive and defensive rounds.

[0060] The diagnostic rule base refers to the set of rules pre-defined in this application for automatically diagnosing the root causes of breakpoints in the tactical chain. The rule base sets corresponding breakpoint judgment rules and root cause attribution logic for three different tactical roles: ball-handling member, non-ball-handling member, and receiving member. It can automatically output standardized diagnostic results based on the rules, including breakpoint type, responsible member, and time of occurrence.

[0061] like Figure 1 As shown, a method for intelligent analysis of tactical coordination in team ball games includes the following steps:

[0062] Obtain the target team's trajectory data during the game;

[0063] Based on trajectory data, construct a dynamic spatiotemporal pressure field of the target team during the offensive or defensive process;

[0064] Based on trajectory data and dynamic spatiotemporal pressure field, a tactical chain is constructed for the target team in a single offensive round or a single defensive round. The tactical chain consists of multiple tactical events arranged in chronological order.

[0065] Based on the evolution characteristics of the dynamic spatiotemporal pressure field on the tactical chain, the coherence evaluation index of the tactical chain is calculated.

[0066] When a tactical chain interruption is detected, the breakpoint in the tactical chain is diagnosed based on a preset diagnostic rule base, and a diagnostic report is output, including the breakpoint type, responsible member, and time of occurrence.

[0067] Example 1

[0068] like Figure 2 As shown, a dynamic spatiotemporal pressure field is constructed for the target team during the offensive or defensive process. For any member of the target team... At any moment The spatiotemporal pressure index it experiences in the dynamic spatiotemporal pressure field Specifically:

[0069] ,in, For members and the opposing team The distance between them For members and the opposing team The relative speed between them For members The direction of attack or defense relative to the opponent's members Towards members The angle of the direction For the comprehensive pressure function, For members Compared to the opposing members The weighting coefficients, when the opponent members Member On the passing path Conversely .

[0070] Specifically:

[0071] Spatiotemporal pressure index By weighted integration of multi-dimensional confrontation parameters, the dynamic quantification of players' real-time offensive and defensive pressure is achieved, including distance parameters. Directly related to the degree of pressure on offensive and defensive space, relative speed Capture the dynamic trend of the opponent approaching or moving away, angle parameters Used to demonstrate the effectiveness of offensive and defensive postures;

[0072] Weighting coefficient The differentiated design dynamically adjusts the influence weight of competitors to avoid the distortion of stress assessment caused by indiscriminate weighting;

[0073] Comprehensive pressure function By integrating the distance, velocity, and angle components using a linear superposition method, it is possible to ensure the spatiotemporal pressure index. The computational efficiency, while realizing the membership The integration of spatiotemporal dimensions, dynamic confrontation, and key relationships.

[0074] It should be noted that the members Compared to the opposing members Weighting coefficients When a defensive player is within the effective interception range of an offensive player's passing path, the passing success rate drops by an average of over 62%. This defensive player's influence on offensive decisions is significantly higher than that of defensive players outside the passing path. Furthermore, defensive players within the passing path occupy over 70% of the ball handler's decision-making attention, requiring weighting to highlight their core influence. If a defensive player is within the passing path, then... Compared to the opposing members Weighting coefficients Can be set to If the defending player is not on a passing path, then the members Compared to the opposing members Weighting coefficients Can be set to .

[0075] In addition, it should be noted that the passing path is defined by the line connecting the ball carrier's passing target point. When the vertical distance between the defensive player's body coverage area and the passing path is ≤1.5 times the player's wingspan, the player is considered to be on the passing path. In basketball, the default weight for passing path is 2.0 and for non-path is 0.8; in football, the default weight for passing path is 2.5 and for non-path is 0.5; in volleyball, the default weight for passing path is 1.8 and for non-path is 0.9. In fast break and counter-attack scenarios, the weight for passing path is increased by 10%-20%; in static offensive scenarios in positional play, the weight for non-path is decreased by 10%-20%.

[0076] For the remaining technical details of this embodiment, please refer to the above technical details, which will not be repeated here.

[0077] Example 2

[0078] like Figure 3 As shown, for a dynamic spatiotemporal pressure field, it includes:

[0079] Based on members and the opposing team Distance between Generate distance pressure component Specifically:

[0080] ,in, For reference distance, The standard deviation of the reference distance;

[0081] Based on members and the opposing team relative velocity between Generation velocity pressure component Specifically:

[0082] ,in, For reference relative velocity, For reference, the standard deviation of relative velocity;

[0083] member The direction of attack or defense relative to the opponent's members Towards members Angle of direction Generate angular pressure component Specifically:

[0084] ,in, For indicating parameters.

[0085] Specifically:

[0086] For distance pressure component The Sigmoid function is also used to fit the exponentially increasing pressure in ball games when an opponent approaches within a critical distance; reference distance. The distance can be dynamically configured based on the type of ball; for example, it can be set to 1.5m for basketball and 3m for soccer, while also taking into account the standard deviation of the distance. You can also use a reference distance. Half of;

[0087] velocity-pressure components The Sigmoid function is used to fit the confrontation situation where the larger the absolute value of the relative velocity (the faster the opponent approaches), the more significant the pressure; the relative velocity is used as a reference. The speed is set to 1.1 times the player's average reaction speed, which in this embodiment can be set to 3 m / s. The same reference relative speed standard deviation is used. Take reference relative velocity Half of;

[0088] Angular pressure component By indicating parameters and The combination of indicators Only It takes effect immediately, accurately filtering out effective confrontation angles of the opponent facing the target member, excluding non-oppressive postures such as facing away or to the side; This achieves a smooth mapping where the smaller the angle (facing the opponent), the greater the pressure.

[0089] Through distance pressure component Velocity and pressure components and angular pressure components It can effectively quantify and map the pressure intensity of players under different confrontational scenarios on the field.

[0090] It should be noted that the reference distance Based on statistical data on the effective interference range of professional players in various sports, the critical interference distance for the average wingspan and lateral movement coverage of professional basketball players is 1.5m, and the effective coverage distance for the interception action of professional football players is 3m.

[0091] Reference distance standard deviation Based on the sigmoid function smoothness optimization logic, taking half of the reference distance can ensure that the pressure function presents a smooth and gradual trend near the critical distance, avoiding step pressure sudden changes.

[0092] In addition, it should be noted that, by default, the project's default configuration is 1.5m for basketball, 3m for soccer, and 2m for volleyball, with the standard deviation set to 0.5 times the reference distance. The reference distance for basketball inside players is... The reference distance for outside players has been lowered to 1.2m, while that for perimeter players has been raised to 1.8m; (This refers to the reference distance for football defenders.) The distance for forward players is adjusted upwards to 3.5m, and downwards to 2.5m; in high-sensitivity scenarios such as fast breaks or tackles, the standard deviation of the distance should be used as a reference. Take 0.3 times the reference distance For scenarios requiring smoothness, such as positional warfare and set pieces, refer to the standard deviation of distance. Take 0.8 times the reference distance .

[0093] For the remaining technical details of this embodiment, please refer to the above technical details, which will not be repeated here.

[0094] Example 3

[0095] like Figure 4As shown, the evaluation metrics for the coherence of the tactical chain include:

[0096] Pressure Flow Index Specifically:

[0097] ,in, For the number of tactical events, This represents the average spatiotemporal pressure index of two adjacent tactical events. The maximum spatiotemporal pressure index for tactical events;

[0098] Decision window utilization rate index Specifically:

[0099] ,in, For the ball-handling member Spatiotemporal pressure index At that moment, For the ball-handling member Spatiotemporal pressure index The moment;

[0100] Tactical progress efficiency index Specifically:

[0101] ,in, The number of tactical events that drive progress. To advance the net displacement, The total length of the opponent's court.

[0102] Specifically:

[0103] Pressure Flow Index The average spatiotemporal pressure index of two adjacent tactical events Normalization eliminates differences in pressure scale between different rounds and different teams, improving the pressure smoothness index. Value control within Between these values, a larger value indicates a smoother tactical transition, directly reflecting the continuity of the pressure environment created by the previous tactical event for the next event;

[0104] Decision window utilization rate index The opening and closing times of the decision window are defined by the spatiotemporal pressure index threshold. Based on this, a time window is set in which the player with the ball is in a low-pressure and decision-making state. The ratio of the difference between the actual decision time and the window opening time to the total window duration indicates whether the tactical decision is completed at the optimal time, avoiding tactical continuity breaks caused by decisions made too early or too late.

[0105] Tactical progress efficiency index The proportion of medium-propulsion tactical events Reflecting the effectiveness of tactical execution, the proportion of net displacement is advanced. The actual transformative effect of quantified tactics on offensive and defensive spaces, and the linear superposition of the two, result in an efficiency index for tactical progress. It can assess both the consistency of tactical execution and the ultimate value of tactics.

[0106] It should be noted that in team ball games, when the space-time pressure index is ≤0.5, the player with the ball is in a low-pressure environment, with ample space for observation, decision-making, passing, shooting, and shooting, and the success rate of decision-making is 47% higher than in a high-pressure environment; when the space-time pressure index is ≥0.7, the player with the ball enters a high-pressure blockade state, the decision-making error rate increases by 63%, and the optimal decision-making conditions are completely lost. Therefore, 0.5 and 0.7 are used as the critical values ​​for opening and closing the decision-making window.

[0107] For the remaining technical details of this embodiment, please refer to the above technical details, which will not be repeated here.

[0108] Example 4

[0109] The diagnostic rule base is as follows:

[0110] When the player with the ball The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the first preset threshold, it is marked as a breakpoint in the tactical chain;

[0111] When the non-ball player The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the second preset threshold, it is marked as a breakpoint in the tactical chain.

[0112] When the receiving member The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the third preset threshold, it is marked as a breakpoint in the tactical chain.

[0113] Specifically:

[0114] Each rule in the diagnostic rule base is designed for the functional positioning of a specific member in the tactical chain, enabling precise location of the breakpoint and root cause diagnosis.

[0115] For the player with the ball As the core of tactical initiation, the continuous rise of the spatiotemporal pressure index is set as a pressure increase of ≥0.1 for three consecutive time frames, and the first preset threshold is set at 0.8. The technical logic of this rule is that if the pressure of the ball-holding member continues to exceed the limit, it means that the ball control is about to be lost or the tactical initiation is blocked, which directly leads to the interruption of the tactical chain. The responsible member is clearly the ball-holding member, and the type of break point is determined to be the failure of the core initiation link.

[0116] For non-ball players Its tactical function is to create space for receiving the ball or to restrain the opponent. The second preset threshold is set at 0.65. The continuous increase judgment standard is that the pressure increase is ≥0.08 for three consecutive time frames. This rule is for scenarios where off-the-ball movement is continuously blocked by the opponent and cannot provide an effective connection node for the tactical chain. The break point type is the failure of the space creation link. The responsible members are the off-the-ball movement members and the cooperating members who fail to fill in in time.

[0117] For the receiving member It is the key to the connection of the tactical chain. The third preset threshold is set at 0.75. The continuous rise is judged as the pressure rises sharply by ≥0.15 in the 3 time frames before receiving the ball. This rule accurately captures the scenario where the opponent is close to the ball at the moment of receiving the ball, resulting in a passing error or failure to smoothly connect with the subsequent tactics. The break point type is the failure of the connection receiving link, and the responsible member is the receiving member or the passing member.

[0118] For the remaining technical details of this embodiment, please refer to the above technical details, which will not be repeated here.

[0119] Example 5

[0120] This embodiment is based on a single set offense round in an amateur 5v5 basketball exhibition game, fully demonstrating the entire process of the method of the present invention from data input to diagnostic report output, and verifying the feasibility and practicality of the solution.

[0121] The home team, Red Team, had a single positional attack round lasting 8.4 seconds, and the result was a pass error that went out of bounds.

[0122] The official motion capture system of the event was used, with a sampling rate of 25Hz (40ms per frame). A total of 210 frames of valid data were collected throughout the round. The data included the real-time two-dimensional coordinates (x,y) of the basketball, the motion velocity vector, the motion direction, and the timestamp of the 5 players of the red team and the 5 players of the blue team. The data accuracy was ±2cm.

[0123] Using the default parameters for basketball, specifically:

[0124] Weighting coefficient: 2.0 for passing paths, 0.8 for non-passing paths;

[0125] Reference distance Reference distance standard deviation ;

[0126] The decision window opening threshold is 0.5, and the closing threshold is 0.7.

[0127] Breakpoint diagnosis thresholds: First threshold for ball-handling members: 0.8; Second threshold for non-ball-handling members: 0.65; Third threshold for receiving members: 0.75.

[0128] The total length of the court is 28 meters.

[0129] Step 1: Input target data (trajectory data acquisition)

[0130] The system inputs the full trajectory data of this offensive possession, with a time range from 0.0s (Red Team's No. 1 point guard receives the ball at midcourt, initiating the offensive possession) to 8.4s (Red Team's No. 3 small forward makes a passing error, the ball goes out of bounds, and the possession ends). It includes the full-time spatiotemporal trajectory data of 10 players and the basketball, as well as ball possession information, and completes the preprocessing and noise filtering of the raw data.

[0131] Step 2: Construction of Dynamic Spatiotemporal Pressure Field

[0132] The system calculates the spatiotemporal stress index of each player on the red team frame by frame. Complete the construction of the dynamic spatiotemporal pressure field for the entire round, taking the core frame as an example:

[0133] Taking t=2.0s (frame 50) as an example, the red team's player number 1 with the ball is matched up against the blue team's player number 5. The real-time distance between the two players is... relative speed (Blue team's number 5 is approaching the ball handler from the front), offensive and defensive angle 30 degrees (defender is within the effective cone angle directly in front of the ball handler);

[0134] Component calculations are performed, including the distance pressure component. velocity and pressure components Angular pressure component The blue team's number 5 is on the ball handler's passing path, with a weight of 2.0;

[0135] The normalized spatiotemporal pressure index of the ball holder in this frame ;

[0136] The system calculates the pressure index of 10 players across 210 frames in the entire round according to the above logic, thus constructing a complete dynamic spatiotemporal pressure field.

[0137] Step 3: Building a Single-Turn Tactical Chain

[0138] Based on trajectory data and a dynamic spatiotemporal pressure field, the system breaks down the continuous tactical events of this offensive round in chronological order, forming a complete tactical chain:

[0139] Tactical Event 1 (0.0s-1.6s): Red Team's number 1 player dribbles the ball from midcourt to the three-point line, initiating the attack;

[0140] Tactical Event 2 (1.6s-3.2s): The Red Team's No. 2 shooting guard moves up to the top of the key to set an off-ball screen, and the Red Team's No. 1 player uses the screen to move to the right at a 45° angle to create passing space;

[0141] Tactical Event 3 (3.2s-5.6s): The Red Team's small forward #3 cuts from the left baseline to the free-throw line, while the Red Team's power forward #4 draws two defenders in the low post;

[0142] Tactical Event 4 (5.6s-8.4s): Red Team's number 1 player passes the ball to the cutting number 3 player, but the pass is intercepted, the ball goes out of bounds, and the offensive possession ends.

[0143] This tactical chain consists of four tactical events arranged in chronological order, fully covering the entire process of a single offensive round.

[0144] Step 4: Calculation of Tactical Chain Coherence Assessment Indicators

[0145] Based on the evolution characteristics of the dynamic spatiotemporal pressure field along the tactical chain, the system calculates three core coherence evaluation indicators:

[0146] Pressure Flow Index :

[0147] Number of tactical events this time The average pressure difference between adjacent tactical events was 0.12, 0.35, and 0.41, respectively, and the maximum pressure index for the entire round was 0.86. The pressure smoothness index was calculated. It is at a below-average level, with insufficient tactical fluidity.

[0148] Decision window utilization rate index :

[0149] The decision window for player number 1 on the red team opens at 3.6 seconds and closes at 6.4 seconds, resulting in an actual decision time of 7.8 seconds. The calculated decision window utilization rate is [indicator missing]. This indicates a severe delay in decision-making, missing the optimal decision-making window;

[0150] Tactical progress efficiency index :

[0151] Number of advancing tactical events in this offensive round (Event 1, Event 3), Total number of tactical events The offensive advance net displacement was 14 meters, and the tactical advance space efficiency met the standard, but the smoothness of the connection was insufficient.

[0152] Step 5: Tactical Chain Breakpoint Detection and Diagnosis

[0153] Based on the coherence assessment results and the preset diagnostic rule base, the system detected that the tactical chain was interrupted at t=7.8s and automatically completed the breakpoint diagnosis.

[0154] Breakpoint timing location: t=7.8s, corresponding to the 4th tactical event in the tactical chain, which is the passing decision and receiving execution stage;

[0155] Breakpoint type determination: In the three frames before receiving the ball (t=7.68s, 7.72s, 7.76s), the spatiotemporal pressure index of the red team's No. 3 receiving player continuously increased from 0.42 to 0.78, with an average increase of 0.12 per frame, exceeding the third preset threshold of 0.75, which is consistent with the breakpoint type of failure in the connection receiving link;

[0156] Determination of responsible players: The primary responsibility lies with player number 3 of the Red Team (who failed to break free after a cut and was continuously marked by the opposing defender before receiving the ball, causing a sudden increase in pressure that prevented him from receiving the ball); the secondary responsibility lies with player number 1 of the Red Team (who made a severely delayed decision, only passing the ball after the optimal decision window had closed, amplifying the defensive pressure during the receiving phase).

[0157] Precise location of the occurrence: t=7.8s, corresponding to 8s of remaining attack time in the game, corresponding to the 195th frame of motion capture data.

[0158] Step 6: Standardized Diagnostic Report Output

[0159] The system automatically generates a standardized diagnostic report for this offensive round, the core contents of which are as follows:

[0160] Basic information about the round:

[0161] The home team, Red Team, has an offensive possession lasting 8.4 seconds. The possession ends with a passing error, and the tactical chain consists of 4 consecutive tactical events.

[0162] Consistency assessment conclusion:

[0163] Pressure fluency 0.744 (unacceptable), decision window utilization 1.5 (severely lagging), tactical progress efficiency 1.0 (acceptable).

[0164] The overall tactical chain lacks coherence, with the core issues being delayed decision-making and ineffective ball-receiving coordination.

[0165] Breakpoint diagnosis results:

[0166] The break occurred at 7.8s, and the type was a failure of the connection receiving link. The primary responsible player was player number 3 of the red team, and the secondary responsible player was player number 1 of the red team.

[0167] Targeted optimization suggestions:

[0168] 1. After cutting to the basket, the Red Team's number 3 player needs to add a second move to get rid of the ball, reducing the defensive pressure when receiving the ball;

[0169] 2. The red team's number 1 player with the ball must complete the pass within the optimal decision window of 3.6s-6.4s to avoid decision lag;

[0170] 3. The Red Team needs to improve the timing and synchronization of passing and cutting in positional warfare to reduce the time lag in tactical transitions.

[0171] For the remaining technical details of this embodiment, please refer to the above technical details, which will not be repeated here.

[0172] Furthermore, this invention also discloses an intelligent analysis system for tactical coordination in team ball games, comprising:

[0173] Memory, used to store computer programs;

[0174] The processor is used to implement the aforementioned intelligent analysis method for team ball game tactical coordination when executing computer programs.

[0175] In summary, the intelligent analysis method and system for team ball game tactical coordination disclosed in this invention can realize the overall analysis of the tactical chain composed of continuous tactical events in a single offensive or defensive round. By constructing a dynamic spatiotemporal pressure field based on trajectory data and combining the evolution characteristics of the pressure field, the system calculates the evaluation index of tactical chain coherence, thus reflecting the dynamic progressive effect and smoothness of tactical coordination.

[0176] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for intelligent analysis of tactical coordination in team ball games, characterized in that, Includes the following steps: Obtain the target team's trajectory data during the game; Based on the trajectory data, a dynamic spatiotemporal pressure field is constructed for the target team during the offensive or defensive process. Based on the trajectory data and the dynamic spatiotemporal pressure field, a tactical chain is constructed for the target team in a single offensive round or a single defensive round. The tactical chain consists of multiple tactical events arranged in chronological order. Based on the evolution characteristics of the dynamic spatiotemporal pressure field on the tactical chain, the coherence evaluation index of the tactical chain is calculated. When the tactical chain is detected to be interrupted, the breakpoint in the tactical chain is diagnosed based on a preset diagnostic rule base, and a diagnostic report is output, including the breakpoint type, responsible member, and time of occurrence.

2. The intelligent analysis method for team ball game tactical coordination as described in claim 1, characterized in that, Construct the dynamic spatiotemporal pressure field of the target team during the offensive or defensive process, for any member of the target team. At any moment The spatiotemporal pressure index it experiences in the dynamic spatiotemporal pressure field Specifically: ,in, For members and the opposing team The distance between them For members and the opposing team The relative speed between them For members The direction of attack or defense relative to the opponent's members Towards members The angle of the direction For the comprehensive pressure function, For members Compared to the opposing members The weighting coefficients.

3. The intelligent analysis method for team ball game tactical coordination as described in claim 2, characterized in that, member Compared to the opposing members Weighting coefficients Specifically: When the opposing members Member On the passing path Conversely .

4. The intelligent analysis method for team ball game tactical coordination as described in claim 3, characterized in that, The dynamic spatiotemporal pressure field includes: Based on members and the opposing team Distance between Generate distance pressure component Specifically: ,in, For reference distance, The standard deviation of the reference distance; Based on members and the opposing team relative velocity between Generation velocity pressure component Specifically: ,in, For reference relative velocity, For reference, the standard deviation of relative velocity; member The direction of attack or defense relative to the opponent's members Towards members Angle of direction Generate angular pressure component Specifically: ,in, For indicating parameters.

5. The intelligent analysis method for team ball game tactical coordination as described in claim 4, characterized in that, The evaluation metrics for the coherence of the tactical chain include: Pressure Flow Index Specifically: ,in, The number of the tactical events. The average spatiotemporal pressure index for two adjacent tactical events is given. The maximum spatiotemporal pressure index of the tactical event; Decision window utilization rate index Specifically: ,in, For the ball-handling member Spatiotemporal pressure index At that moment, For the ball-handling member Spatiotemporal pressure index The moment; Tactical progress efficiency index Specifically: ,in, The number of tactical events that advance the course of events. To advance the net displacement, The total length of the opponent's court.

6. The intelligent analysis method for team ball game tactical coordination as described in claim 5, characterized in that, The diagnostic rule base is specifically as follows: When the player with the ball The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds a first preset threshold, it is marked as a breakpoint in the tactical chain; When the non-ball player The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the second preset threshold, it is marked as a breakpoint in the tactical chain; When the receiving member The spatiotemporal pressure index experienced during positioning operations If the value continues to rise and exceeds the third preset threshold, it is marked as a breakpoint in the tactical chain.

7. A team ball game tactical coordination intelligent analysis system, characterized in that, include: Memory, used to store computer programs; A processor, configured to, when executing the computer program, implement the intelligent analysis method for team ball game tactical coordination as described in any one of claims 1 to 6.

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