A basketball training intelligent scheduling system

Abstract

The present application relates to the technical field of training scheduling, in particular to a basketball training intelligent scheduling system, which comprises a performance deviation analysis module, a health condition evaluation module, a training scheduling adjustment module and a training effect analysis module. The present application analyzes the training performance data of athletes, identifies their specific weaknesses in skills, reasonably evaluates the importance of each skill according to the role played by athletes in the team, sorts the training priorities, ensures the optimal allocation of training resources, discovers health problems or potential injury risks in time by comparing the physiological data of athletes with the average level of athletes in the same position, makes the training adjustment more scientific and safe, continuously monitors the training effect and analyzes the effect, enables the coach to quickly capture possible problems in training, adjusts the strategy in time, effectively avoids excessive or insufficient training, and improves the safety and effectiveness of training.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of training scheduling, and particularly relates to a basketball training intelligent scheduling system. BACKGROUND

[0002] The technical field of training scheduling involves the use of information technology and system management tools to optimize the planning, implementation, and monitoring of sports training. This field integrates knowledge from multiple disciplines such as exercise science, data analysis, systems engineering, and software development to improve the efficiency and effectiveness of training. Training scheduling systems can dynamically adjust training plans based on physical feedback, health data, and training load of athletes. The system usually includes algorithms and models for predicting athletic performance, managing risks, and optimizing training cycles and recovery times, aiming to maximize the performance and potential of athletes through scientific management.

[0003] The basketball training intelligent scheduling system aims to improve training effectiveness and management efficiency through intelligent means. The system uses physiological and performance data of athletes to intelligently adjust training plans and recovery strategies to adapt to individual differences and real-time performance of athletes. The use includes automatic generation of training schedules, real-time adjustment of training content, and provision of visual feedback of athlete performance and health status, improving the accuracy of coaches' strategy formulation, helping athletes more effectively achieve their training goals, reducing the risk of injury, and thus gaining an advantage in competitive sports.

[0004] Traditional training scheduling systems rely on the experience and intuition of coaches, lacking precise understanding of individual differences and real-time performance of athletes, leading to uniformity and patternization of training plans, making it difficult to optimize for each athlete's specific needs, resulting in fluctuations in training effectiveness. For example, without accurate assessment of athletes' individual skill weaknesses and health status, excessive training intensity can lead to overwork or injury of athletes, and training scheduling systems lacking real-time feedback mechanisms are difficult to adjust training content in a timely manner to adapt to athletes' immediate performance and recovery status, resulting in suboptimal training effectiveness and potential reversal of training effectiveness, affecting athletes' overall performance and career development. SUMMARY

[0005] The purpose of the present application is to solve the problems existing in the prior art, and a basketball training intelligent scheduling system is proposed.

[0006] In order to achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows: a basketball training intelligent scheduling system, the system comprises:

[0007] The performance deviation analysis module extracts the current performance data of each training item based on the basketball player's training records, evaluates the deviation between the current performance data and the target performance data, identifies the basketball player's weak items, and evaluates the training priority of each item according to the importance of each training item to the basketball player's position, and obtains the priority evaluation results.

[0008] The health status assessment module is based on the training process of basketball players. It collects the physiological index data of basketball players in real time through wearable devices, compares it with the average physiological index of normal basketball players of the same position, assesses the deviation of physiological index, and combines the feedback data of basketball players' mental health status to assess the health status of basketball players and obtain health status assessment information.

[0009] Based on the priority assessment results and health status assessment results, the training scheduling adjustment module adjusts the training duration of basketball players according to their health status, and allocates the training duration of each training item according to the training priority of each item, thus obtaining the training allocation scheduling result.

[0010] Based on the training allocation and scheduling results, the training effect analysis module extracts the training performance data of basketball players in each item over a period of time, evaluates the changing trend of training effect, compares it with the preset abnormal threshold, identifies abnormal trends, determines whether the training volume needs to be increased, and promptly reminds the coaches to obtain training effect analysis information.

[0011] The present invention is improved in that the step of identifying the weaknesses of basketball players is as follows:

[0012] Based on the training records of basketball players, the current performance data of each training item is extracted, including shooting percentage, three-point shooting percentage, passing accuracy and defensive skills rating, to obtain a training performance dataset.

[0013] Based on the training performance dataset, it is compared with the target performance data set by the coach, using the formula:

[0014] ;

[0015] Calculate the performance deviation index for each item;

[0016] in, Represents the target score. Representing current performance, This is the logarithmic adjustment factor. The project's performance deviation index;

[0017] Based on the performance deviation index of each item, it is compared with the preset performance deviation threshold. Items with performance deviation indices exceeding the preset performance deviation threshold are marked as weak items, thus obtaining the weak item identification result.

[0018] The present invention is improved in that the step of obtaining the priority evaluation result is as follows:

[0019] Based on the identification results of the weak points, according to the basketball position of the athlete and the corresponding standard training method, the coach sets the importance score of each training item for the basketball player, and obtains the importance score dataset.

[0020] Based on the aforementioned importance score dataset, using the formula:

[0021] ;

[0022] Calculate the priority index for each training item;

[0023] in, The project's performance deviation index. Rate the importance of the project. For balance coefficient, Priority index;

[0024] Based on the priority index of each training item, the training items are prioritized according to the size of the priority index to obtain the priority evaluation result.

[0025] The present invention is improved in that the step of assessing the deviation of physiological indicators is as follows:

[0026] Based on the training process of basketball players, wearable devices are used to collect real-time physiological data of basketball players, including heart rate, blood oxygen saturation and muscle activity potential, to obtain real-time physiological datasets.

[0027] Based on the aforementioned real-time physiological dataset, average physiological index data of athletes in the same basketball position are extracted, using the formula:

[0028] ;

[0029] Calculate the physiological deviation index to obtain the physiological deviation analysis results;

[0030] in, This is a physiological deviation index. This represents the total number of physiological indicators. Indicates the first Real-time collected physiological data, Indicates the first Average physiological indicators of a normal athlete in the same position. a weight coefficient representing a first physiological index.

[0031] The application improves that the acquiring step of the health condition assessment information is:

[0032] Based on the physiological deviation analysis result, the psychological health condition data of the basketball player is collected through questionnaire survey, psychological test and feedback of the player, and a psychological health data set is obtained;

[0033] Based on the psychological health data set, the health index is calculated through the formula:

[0034] ;

[0035] The health condition assessment information is obtained by evaluating the health state of the basketball player through the health index.

[0036] Among them, the health index, the physiological deviation index, the psychological health index, and respectively the weight coefficient of physiological and psychological health, the deviation tolerance threshold.

[0037] The application improves that the step of adjusting the training duration of the basketball player is:

[0038] Based on the priority evaluation result and the health condition assessment result, the standard training data corresponding to the position of the basketball player is extracted according to the position of the basketball player, including the benchmark training intensity and the benchmark training duration, and the training association data is obtained.

[0039] Based on the training association data, the adjusted total training duration is calculated through the formula:

[0040] ;

[0041] The training duration adjustment information is obtained by calculating the adjusted total training duration.

[0042] Among them, the benchmark training duration, the health index, the logarithmic adjustment coefficient, the target training intensity, the benchmark training intensity, the adjusted total training duration.

[0043] The application improves that the acquiring step of the training allocation scheduling result is:

[0044] Based on the priority evaluation result, the priority index of each training project is extracted, the total priority index of all projects is calculated, and the total priority index statistical result is obtained;

[0045] Based on the total priority index statistical result and the training duration adjustment information, the formula is:

[0046] ;

[0047] The training duration allocated to a single project is calculated;

[0048] Wherein, is the training duration allocated to a single project, is the adjusted total training duration, is the priority index of a single training project, is the sum of the priority indexes of all projects, is the reserved redundancy time;

[0049] Based on the training duration allocated to a single project, the training duration of each project is summarized and sent to the coaching team for implementation, and the training allocation scheduling result is obtained.

[0050] The present application improves that the training effect analysis information acquisition step is:

[0051] Based on the training allocation scheduling result, the training data set in a specified time period is extracted, and the trend correlation data is obtained;

[0052] Based on the trend correlation data, the formula is:

[0053] ;

[0054] The change trend index of the training effect is calculated;

[0055] Wherein, is the change trend index of the training effect, is the score of the current training project, is the average value of the training project score, is the standard deviation of the score of the training project, is the weight coefficient of the project, is the total number of training projects;

[0056] Based on the change trend index of the training effect, the preset trend threshold is compared, the abnormal trend is identified, it is judged whether the training amount needs to be increased, and the coaching personnel is reminded in time, and the training effect analysis information is obtained.

[0057] Compared with the prior art, the application has the advantages and positive effects that:

[0058] In the application, by analyzing the training performance data of the athletes, the specific weaknesses of the athletes in skills are identified, the importance of each skill is reasonably evaluated according to the role played by the athletes in the team, the training priorities are sorted, the optimal allocation of training resources is ensured, the improvement of the athletes in key skills is accelerated, the health problems or potential injury risks are found in time by comparing the physiological data of the athletes with the average level of athletes in the same position, the training adjustment is more scientific and safe, the continuous monitoring of training effectiveness and the effect analysis make the coach quickly capture the possible problems in training, timely adjust the strategy, effectively avoid the training excess or deficiency, and improve the safety and effectiveness of the training. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 The system flowchart of the application is shown in the following figure:

[0060] Figure 2 The flowchart of identifying the weak items of the basketball athletes in the application is shown in the following figure:

[0061] Figure 3 The flowchart of obtaining the priority evaluation result in the application is shown in the following figure:

[0062] Figure 4 The flowchart of evaluating the physiological index deviation in the application is shown in the following figure:

[0063] Figure 5 The flowchart of obtaining the health status evaluation information in the application is shown in the following figure:

[0064] Figure 6 The flowchart of adjusting the training duration of the basketball athletes in the application is shown in the following figure:

[0065] Figure 7 The flowchart of obtaining the training allocation scheduling result in the application is shown in the following figure:

[0066] Figure 8 The flowchart of obtaining the training effectiveness analysis information in the application is shown in the following figure. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical scheme and advantages of the application more clear, the application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the application, and are not used to limit the application.

[0068] In the description of the present application, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0069] Please refer to Figure 1 The present application provides a technical solution: a basketball training intelligent scheduling system, the system comprises:

[0070] The performance deviation analysis module extracts the current performance data of each training item of the basketball player based on the training record of the basketball player, including the shooting accuracy, the three-point shooting accuracy, the passing accuracy and the defense skill, evaluates the deviation of the current performance data and the target performance data, identifies the weak items of the basketball player, and evaluates the training priority of each item according to the importance of each training item to the position of the basketball player, to obtain the priority evaluation result;

[0071] The health status evaluation module collects the physiological index data of the basketball player in real time through the wearable device based on the training process of the basketball player, compares the physiological index with the average physiological index of the normal basketball player in the same position, evaluates the physiological index deviation, combines the psychological health status feedback data of the basketball player, evaluates the health status of the basketball player, and obtains the health status evaluation information;

[0072] The training scheduling adjustment module adjusts the training duration of the basketball player according to the health status of the basketball player based on the priority evaluation result and the health status evaluation result, and allocates the training duration of each training item according to the training priority of each item, to obtain the training allocation scheduling result;

[0073] The training effect analysis module extracts the training performance data of the basketball player in each item for a period of time based on the training allocation scheduling result, evaluates the change trend of the training effect, compares it with the preset abnormal threshold, identifies the abnormal trend, judges whether the training amount needs to be increased, and reminds the coach in time, to obtain the training effect analysis information.

[0074] The priority evaluation result includes the training item importance rating and the priority sorting information, the health status evaluation information includes the heart rate abnormality, the blood oxygen saturation abnormality, the psychological health index, the training allocation scheduling result includes the training duration adjustment value and the item duration allocation information, and the training effect analysis information is specifically the training effect change trend, the abnormal trend point information and the training amount adjustment information.

[0075] Please refer to Figure 2 , the steps to identify the weaknesses of basketball players are:

[0076] Based on the training records of basketball players, the current performance data of each training project is extracted, including shooting accuracy, three-point shooting accuracy, passing accuracy and defense skill score, to obtain the training performance data set;

[0077] Based on the training records of basketball players, data collection and extraction are carried out through basketball training management records, and data are collected from sensors and video analysis equipment in training venues, for example, passing accuracy is recorded by sensors to record the number of passes and successful passes, and the accuracy of passing is automatically identified by video analysis system, shooting and three-point shooting accuracy are calculated by identifying whether the basketball is successfully entered the net, after each training, the training data of the day is automatically summarized, and the training performance data set is generated, the data set not only includes basic score information, but also includes time stamp and duration of each attempt, so as to carry out more in-depth time series analysis.

[0078] Based on the training performance data set, the target performance data set is compared with the target performance data set set by the coach, through the formula:

[0079] ;

[0080] Calculate the performance deviation index of each project;

[0081] Among them, represents the target performance, represents the current performance, is the logarithmic adjustment coefficient, is the performance deviation index of the project;

[0082] The formula is:

[0083] ;

[0084] The advantage of the formula is that through the combination of the logarithmic adjustment coefficient and the logarithmic function, the influence of performance change can be effectively smoothed, so that the deviation index will not fluctuate sharply because of extreme value, which helps the coach to evaluate the performance of the player more objectively.

[0085] Formula details and formula calculation derivation process:

[0086] represents the target performance, which is determined according to the pre-season setting value of the coach team, and the target performance of each project is adjusted according to the summary session of the previous season; represents the current performance, which is directly obtained from the training performance data set, and the data is the actual performance of the player in the last training; is a logarithmic adjustment coefficient, set by the statistical team according to the amplitude of change and volatility of historical data, usually varying between 0.05 and 0.15 to ensure the smoothing effect of the logarithmic part; is the performance deviation index of the project, which is calculated by standardizing the difference between the actual performance and the target performance of each project and adjusting the sensitivity through the logarithmic function. For example, assuming that the shooting target performance of a basketball player is 80%, the current performance 75%, the adjustment coefficient 0.1, the formula is calculated as follows:

[0087] ;

[0088] The result shows that the deviation of the current performance is small relative to the set target, with a deviation index of 0.0207, indicating that the player is close to the target performance in this training project, but still has room for improvement.

[0089] Based on the performance deviation index of each project, compare it with the preset performance deviation threshold, mark the projects whose performance deviation index exceeds the preset performance deviation threshold as weak projects, and get the weak project identification result;

[0090] Based on the performance deviation index of each project, by statistically analyzing the performance deviation index of each project, compare it with the preset performance deviation threshold, the threshold is adjusted according to the overall performance of the team in the last season and the improvement target, for example, if the threshold is set to 0.02, all training projects whose performance deviation index exceeds this value will be automatically marked and recorded as weak projects, the coaching team will receive immediate notification to remind the player to pay attention to these projects, and adjust the training plan according to the actual situation, the weak project identification result generated lists all training projects that need extra attention, including the specific performance deviation index of each project and the comparison result with the threshold.

[0091] Please refer to Figure 3 , the priority evaluation result acquisition step is:

[0092] Based on the weak project identification result, according to the basketball position of the player and the corresponding standard training method, the coach sets the importance score of each training project for the basketball player, and gets the importance score data set;

[0093] Based on the weak project identification result, according to the basketball position of the athlete and the corresponding standard training method, the coach needs to evaluate the influence of each training project such as shooting, passing and defense on the athlete's position according to the athlete's professional position such as point guard, shooting guard and small forward. Each position has different training needs, for example, point guards may need higher passing accuracy, while shooting guards may focus more on shooting accuracy. The coach sets the importance score of each training by analyzing the performance needs of the athlete in the position and combining the performance in training, and assigns a score from 1 to 10 for each training, providing basic data for the next priority assessment.

[0094] Based on the importance score dataset, the priority index of each training project is calculated by the formula:

[0095] ;

[0096]

[0097]

[0098] The formula is:

[0099] ;

[0100] The advantage of the formula is that through the weight distribution of the balance coefficient and the importance score of the project , the current performance of the project and its importance to the athlete's position can be effectively combined to determine the priority index of each training project, which helps the coach to reasonably allocate training resources and prioritize improving the most critical skill areas for the athlete's development.

[0101] Formula details and formula calculation derivation process:

[0102] In this formula, represents the performance deviation index of the project, which is directly obtained from the performance deviation calculation result mentioned above; is the importance score of the project, which is set by the coach based on the specific needs of each athlete's position, and the score of each project varies between 1 and 10; is the balance coefficient, which is adjusted according to the stage of the training period and the immediate performance of the athlete, usually between 0.5 and 0.7, to ensure that both performance deviation and project importance have appropriate influence; is the priority index, for example, if the performance deviation index of a project is 0.02 and the importance score is 8, the priority index is calculated as follows:​​​​​​ is 8, the balance coefficient is 0.6, and is substituted into the formula to calculate:

[0103] ;

[0104] The result shows that, considering the performance deviation and importance of the project, the priority index is 3.212, which is in the middle priority, and the coach should adjust the subsequent training plan according to this result to ensure that resources are effectively utilized.

[0105] Based on the priority index of each training project, the training projects are prioritized according to the size of the priority index, and the priority evaluation result is obtained;

[0106] Based on the priority index of each training project, all training projects are arranged from high to low according to the input priority index, and the priority index of each project is displayed beside it, so that the coach can quickly identify which training projects need the most attention and which can temporarily reduce the frequency, helping the coach to develop a more effective training plan, and also ensuring that the athlete can get enough training time and resources in the areas that need the most improvement, the priority evaluation result will directly affect the training arrangement in the next few weeks, ensuring that the team performs at its best in the competition.

[0107] Please refer to Figure 4 , the steps for evaluating physiological index deviation are:

[0108] Based on the training process of a basketball player, real-time physiological index data of the basketball player is collected through a wearable device, including heart rate, blood oxygen saturation, and muscle activity potential, to obtain a real-time physiological data set;

[0109] Based on the training process of a basketball player, real-time physiological index data of the basketball player is collected through a wearable device, the device is fixed on the key parts of the player's body, real-time monitoring of heart rate, blood oxygen saturation and muscle activity potential, each data is converted into digital signal through sensor's electrical signal, uploaded to central processing unit, heart rate monitoring uses photoelectric pulse wave sensing technology, blood oxygen saturation is obtained by infrared spectrum analysis method, muscle activity potential is measured by surface electromyography sensor, data is updated every second and recorded in cloud server, providing real-time physiological data set for subsequent data analysis, real-time collection of data provides decision support for coaches to adjust training plan to adapt to the immediate physiological state of athletes, while also providing important health monitoring information for medical team.

[0110] Based on the real-time physiological data set, the average physiological index data of athletes with the same position is extracted according to the basketball position of the athlete, through the formula:

[0111] ;

[0112] Computing physiological deviation index , obtaining physiological deviation analysis result;

[0113] wherein, is physiological deviation index, is total number of physiological indicators, represents the i-th real-time collected physiological data, represents the i-th average physiological indicator data of normal athletes in the same position, represents the i-th weight coefficient of physiological indicator; ;

[0114] Formula:

[0115] ;

[0116] The advantage of the formula is that by calculating the deviation of real-time data and average data and weighting the influence of different physiological indicators, the physiological state of the athlete can be accurately evaluated whether there is abnormal fluctuation, and then the coach can provide the basis to adjust the training intensity or recovery plan, and ensure the healthy and continuous training process of the athlete.

[0117] Formula details and formula calculation derivation process:

[0118] In this formula, represents physiological deviation index, which is calculated by comparing real-time physiological data and average physiological data of athletes in the same position; is the total number of monitored physiological indicators, for example, 3 (heart rate, blood oxygen saturation, muscle activity potential); is the i-th real-time collected physiological data, for example, the current heart rate of an athlete is 120 bpm; is the average value corresponding to the physiological indicator, and the average heart rate calculated according to historical data is 100 bpm; is the weight coefficient corresponding to the physiological indicator, which is allocated according to the research of sports physiology, for example, the weight of heart rate may be 0.5. Calculation example: assuming that the real-time data of heart rate is 120 bpm, the average data is 100 bpm, the weight is 0.5, the real-time data of muscle activity potential is 3 mV, the average data is 2.8 mV, and the weight is 0.3, the real-time data of blood oxygen saturation is 94%, the average data is 98%, and the weight is 0.2, then:

[0119]

[0120] ;

[0121] ​​​The results show that the current physiological state of the athlete deviates from the average value, and the coach needs to consider whether to reduce the training load or take necessary medical intervention.

[0122] Please refer to Figure 5 , the health assessment information acquisition step is:

[0123] Based on the physiological deviation analysis results, through the questionnaire survey, psychological test and feedback of the athletes, the psychological health data of the basketball players are collected, and the psychological health data set is obtained;

[0124] Based on the physiological deviation analysis results, the questionnaire survey, psychological test and feedback of the athletes are used as data collection tools to collect the psychological health data of the basketball players. The questionnaire survey focuses on identifying the stress level, emotional fluctuation and psychological resilience of the athletes. The psychological test is conducted through standardized tests such as anxiety self-rating scale and depression self-rating scale to assess the psychological state and possible psychological problems of the athletes. The feedback is obtained through direct communication between the coach and the athlete, focusing on the self-reported feelings and psychological reactions of the athletes. The data is coded and input into the athlete health management record to provide the original data basis for subsequent data analysis, ensuring that the coach team can understand the psychological health status of each athlete and adjust the training plan or provide necessary psychological counseling accordingly.

[0125] Based on the psychological health data set, the health index is calculated through the formula:

[0126] ;

[0127] The health index is calculated to evaluate the health status of the basketball players, and the health assessment information is obtained;

[0128] wherein, is the health index, is the physiological deviation index, is the psychological health index, and are the weight coefficients of physiological and psychological health respectively, is the deviation tolerance threshold;

[0129] The formula is:

[0130] ;

[0131] The advantage of the formula is that by integrating the physiological deviation index and the psychological health index, the physiological and psychological factors are considered in a weighted manner, which more comprehensively evaluates the overall health status of the athletes, making the health management more accurate and personalized, and facilitating the coach and medical team to develop more effective training and recovery plans.

[0132] Formula details and formula calculation derivation process:

[0133] is the health index, a numerical representation of overall health assessment, obtained by weighted average of physiological and psychological health data; is the physiological deviation index, obtained by the aforementioned calculation, reflecting the changes in physiological state; is the psychological health index, obtained according to psychological tests and athlete feedback scores; and are weight coefficients, determined according to sports psychology and sports medicine research, for example, can be set as and ; is the deviation tolerance threshold, determined according to long-term health data statistics, set to 0.1. Set , , the calculation is as follows:

[0134] ;

[0135] The results show that, considering physiological and psychological factors, the health of the athletes is good, the coaching coach can continue to maintain the current training intensity, and at the same time pay close attention to the physiological and psychological feedback of the athletes, in order to make necessary adjustments.

[0136] Please refer to Figure 6 , the steps for adjusting the training duration of basketball players are:

[0137] Based on the priority evaluation results and health condition evaluation results, according to the position of the basketball player, the standard training data corresponding to the position is extracted, including the benchmark training intensity and the benchmark training duration, to obtain the training correlation data;

[0138] Based on the priority evaluation results and health condition evaluation results, for each specific position of the basketball player, the standard training data corresponding to the position is extracted, including the benchmark training intensity and the benchmark training duration customized for each position, for example, for the position of the guard, the benchmark training duration may be set as 120 minutes of ball skill and physical training per day, while the benchmark training intensity includes moderate to high intensity endurance training and speed training. The standard training data is updated and verified through cooperation with sports science experts, using the latest sports performance research data, to ensure that it meets the current sports science standards and the actual needs of the athletes. Through data collection, a training correlation data set is formed, which provides a scientific basis for the next training adjustment, so that the training plan can be accurately adjusted according to the individual differences and specific needs of the athletes, thereby improving the effectiveness and efficiency of the training, and ensuring the health and safety of the athletes.

[0139] Based on the training correlation data, according to the target training intensity, through the formula:

[0140] ;

[0141] calculating the adjusted total training duration to obtain training duration adjustment information;

[0142] wherein, is the baseline training duration, is the health index, is the logarithmic adjustment coefficient, is the target training intensity, is the baseline training intensity, is the adjusted total training duration;

[0143] Formula:

[0144] ;

[0145] The advantage of the formula is that by comprehensively considering the adjustment coefficient of the health index and the training intensity, the adjustment of the training duration is more personalized and scientific, adapting to the current health status and training goals of the athlete, thereby optimizing the training effect and preventing overtraining.

[0146] Formula details and formula calculation derivation process: is the baseline training duration, set to 90 minutes, which is set according to the standard duration of the athlete's regular training arrangement, is the health index, obtained through health status evaluation, set to 0.85, representing that the athlete's current health status is good and close to the best state, is the logarithmic adjustment coefficient, an adjustment factor obtained from past training data analysis, set to 0.05, used to adjust the training duration based on the health index, is the target training intensity, set to moderate intensity, with a value of 1.2, is the baseline training intensity, set to 1.0, indicating standard intensity.

[0147] Calculation process:

[0148] ;

[0149] Calculate the logarithmic part:

[0150] Calculate the product of the logarithmic adjustment part: ;

[0151] Calculate the adjusted multiplier: ;

[0152] Calculate the adjusted total training duration:

[0153] ;

[0154] The results show that, based on the adjustment of health index and the increase of target training intensity, the recommended training duration is 111.25 minutes. This result is calculated based on the athlete's health status and training needs and is applicable to the optimized arrangement within the current training cycle.

[0155] Please see Figure 7 The steps to obtain the training allocation and scheduling results are as follows:

[0156] Based on the priority evaluation results, the priority index of each training item is extracted, the total priority index of all items is calculated, and the total priority index statistics are obtained.

[0157] Priority indices for each training item are extracted from the priority assessment results. The priority of each training item is obtained through database query and analysis software. Then, the total priority index is obtained by arithmetic summation. Through actual data calculation, the balance and scientific nature of each item are ensured. The acquisition of the total priority index provides a scientific basis for the subsequent training arrangement, thereby making the training plan more targeted and effective.

[0158] Based on the overall priority index statistics and training duration adjustment information, the formula is used:

[0159] ;

[0160] Calculate the training duration allocated to a single project;

[0161] in, The training time allocated to a single project, This is the adjusted total training duration. This is a priority index for a single training item. The sum of the priority indices of all projects. Redundancy time is reserved for future needs;

[0162] formula:

[0163] ;

[0164] The advantage of the formula is that by comparing the priority of each item with the overall priority and adjusting the actual available training time, the time allocated to each training item is more reasonable, ensuring that key items receive sufficient training time while non-critical items are reduced accordingly, thus making the training more scientific and efficient.

[0165] Detailed explanation of the formula and its calculation derivation:

[0166] The priority index for a single training item is set to 2.0, obtained by analyzing historical training data and athlete performance. The sum of priority indices for all items is set to 10.0, obtained by adding the priority indices of each item. The adjusted total training duration is calculated to be 111.25 minutes using the previous formula. The reserved redundancy time is set to 15 minutes to handle unexpected events or additional rest time.

[0167] Calculation process:

[0168] ;

[0169] The results show that approximately 19.45 minutes should be allocated for this training item, ensuring a reasonable allocation of time according to the importance of the item, making the entire training process more in line with the actual needs of the athlete and training goals.

[0170] Based on the training duration allocated to a single item, the training duration for each item is summarized and sent to the coaching team for implementation, resulting in a training allocation scheduling result;

[0171] After summarizing the training duration allocated to a single item, the results are summarized and sent to the coaching team for implementation. The process includes inputting the specific duration of each training item using the coach management software, which automatically generates a visual training schedule based on the provided duration. The coaching team adjusts the actual training content and sequence based on this schedule to ensure that each item can complete the predetermined training goal within the allocated time. The generated training allocation scheduling result serves as the basis for implementing training, ensuring that the implementation of the training plan is both scientific and in line with actual training needs.

[0172] Please refer to Figure 8 , the steps for obtaining training effect analysis information are:

[0173] Based on the training allocation scheduling result, extract the training data set within a specified time period to obtain trend-related data;

[0174] Based on the training allocation scheduling result, extract the training data for a specific time period and integrate the data to form a trend-related data set. The process involves extracting data from training management records, including the duration of each training item and the athlete's performance score. Statistical software is used to aggregate the data and analyze the performance changes of each training item in different time periods to obtain trend-related data.

[0175] Based on the trend-related data, the formula is:

[0176] ;

[0177] a change trend index of training effect is calculated;

[0178] wherein, a change trend index of training effect, a score of the current training project, an average of training project scores, a standard deviation of the training project scores, a weight coefficient of the project, a total number of training projects;

[0179] Formula:

[0180] ;

[0181] The advantage of the formula is that by standardizing each training project score, considering the standard deviation and weight of each training project, the change trend index of training effect can be more accurately calculated. This calculation method not only improves the sensitivity of data analysis, but also more accurately points out which training projects need attention and improvement.

[0182] Formula details and formula calculation derivation process:

[0183] a score of the current training project, for example, the score is 85. an average of training project scores, for example, the average score is 80. a standard deviation of the training project scores, set to 5. a weight coefficient of the project, set to 1.2, the weight is usually adjusted according to the importance of the project and the feedback of the athlete. a total number of training projects, set to 1.

[0184] Calculation process:

[0185] ;

[0186] The results show that the change trend index of training effect is 1.2, which represents that the overall training effect is slightly higher than the average level, indicating that the training adjustment basically meets the expected goal, but there is still room for improvement.

[0187] Based on the change trend index of training effect, compare with the preset trend threshold, identify abnormal trend, judge whether to increase training amount, and prompt the coach immediately, get training effect analysis information;

[0188] The trend index of the training effect is compared with a preset trend threshold, and by this method, it can be identified which training project does not perform as expected, and the software will issue a reminder according to the trend index and the preset threshold, if the trend index of the training effect is lower than the threshold, the trainer will be prompted to increase the training amount of the project, in this way, the training quality is ensured and the training plan is adjusted in time, the training effect analysis information is formed after the information is summarized, the training team adjusts the training strategy according to the analysis result, and ensures that the athletes can get more effective guidance and support in the next training.

[0189] The above is only a preferred embodiment of the present application, and does not limit the present application in other forms. Any skilled person in the art can use the disclosed technical content to make changes or modifications into equivalent embodiments applied to other fields, but any simple modification, equivalent change and modification made to the above embodiments without departing from the technical solution content of the present application, according to the technical essence of the present application, still belongs to the protection scope of the technical solution of the present application.

Claims

1. A basketball training intelligent scheduling system, characterized in that, The system comprises: The performance deviation analysis module extracts the current performance data of each training item of the basketball player based on the training record of the basketball player, evaluates the deviation of the current performance data from the target performance data, identifies the weak items of the basketball player, and evaluates the training priority of each item according to the importance of each training item to the position of the basketball player, to obtain a priority evaluation result; The health condition evaluation module collects the physiological index data of the basketball player in real time through a wearable device based on the training process of the basketball player, compares the physiological index data with the average physiological index of the normal basketball player in the same position, evaluates the physiological index deviation, combines the psychological health condition feedback data of the basketball player, evaluates the health condition of the basketball player, and obtains health condition evaluation information; The training scheduling adjustment module adjusts the training duration of the basketball player according to the health condition of the basketball player based on the priority evaluation result and the health condition evaluation result, and allocates the training duration of each training item according to the training priority of each item, to obtain a training allocation scheduling result; The training effect analysis module extracts the training performance data of the basketball player on each item within a period of time based on the training allocation scheduling result, evaluates the change trend of the training effect, compares the change trend with a preset abnormal threshold, identifies the abnormal trend, judges whether the training amount needs to be increased, and reminds the coach in real time, to obtain training effect analysis information; The step of identifying the weak items of the basketball player is: Based on the training record of the basketball player, the current performance data of each training item is extracted, including the shooting accuracy, the three-point shooting accuracy, the passing accuracy and the defense skill score, to obtain a training performance data set; Based on the training performance data set, the target performance data set is compared with the target performance data set set by the coach, and the performance deviation index of each item is calculated through the formula: ； Based on the performance deviation index of each item, the performance deviation index exceeding the preset performance deviation threshold is marked as a weak item, and a weak item identification result is obtained; wherein, represents the target score, represents the current score, is a logarithmic adjustment coefficient, is a score bias index for the item; The priority evaluation result is obtained by: Based on the weak item identification result, the importance score of each training item to the basketball player is set by the coach according to the basketball position of the player and the corresponding standard training method, to obtain an importance score data set; Based on the importance score data set, the priority index of each training item is calculated through the formula: Based on the priority index of each training item, the training items are prioritized according to the size of the priority index, to obtain the priority evaluation result. ； The step of evaluating the physiological index deviation is: wherein, is a performance bias index for the item, is an importance score for the item, is a balancing coefficient, is a priority index; Based on the training process of the basketball player, the physiological index data of the basketball player is collected in real time through a wearable device, including the heart rate, the blood oxygen saturation and the muscle activity potential, to obtain a real-time physiological data set; 2. The intelligent scheduling system for basketball training of claim 1, wherein, Based on the real-time physiological data set, the average physiological index data of the players in the same position is extracted according to the basketball position of the player, and the physiological deviation index is calculated through the formula: The health condition evaluation information is obtained by: ​ ； ​ in, This is a physiological deviation index. This represents the total number of physiological indicators. Indicates the first Real-time collected physiological data, Indicates the first Average physiological indicators of a normal athlete in the same position. Indicates the first The weighting coefficients of each physiological indicator.

3. The intelligent scheduling system for basketball training of claim 2, wherein, ​ Based on the physiological deviation analysis result, the psychological health status data of the basketball player is collected through questionnaire survey, psychological test and feedback of the player, and a psychological health data set is obtained; Based on the psychological health data set, a health index is calculated through a formula: ； to evaluate the health status of the basketball player and obtain health status evaluation information; wherein, is a health index, is a physiological bias index, is a mental health index, and are weight coefficients for the physiological and mental health, respectively, is a bias tolerance threshold.

4. The intelligent scheduling system for basketball training of claim 1, wherein, The step of adjusting the training duration of the basketball player is: Based on the priority evaluation result and the health status evaluation result, the standard training data corresponding to the position of the basketball player is extracted according to the position of the basketball player, including the benchmark training intensity and the benchmark training duration, and training correlation data is obtained; Based on the training correlation data, the adjusted total training duration is calculated through a formula: ； according to the target training intensity, and training duration adjustment information is obtained; wherein, is a reference training duration, is a health index, is a logarithmic adjustment coefficient, is a target training intensity, is a reference training intensity, is an adjusted total training duration.

5. The intelligent scheduling system for basketball training of claim 4, wherein, The step of obtaining the training allocation scheduling result is: Based on the priority evaluation result, the priority index of each training project is extracted, the total priority index of all projects is calculated, and the total priority index statistical result is obtained; Based on the total priority index statistical result and the training duration adjustment information, the training duration allocated to a single project is calculated through a formula: ； ; Based on the training duration allocated to a single project, the training duration of each project is summarized and sent to the coaching team for implementation, and the training allocation scheduling result is obtained. wherein, is the training duration assigned to a single project, is the adjusted total training duration, is the priority index of a single training project, is the sum of the priority indices of all projects, is the reserved redundancy time; The step of obtaining the training effect analysis information is:

6. The intelligent scheduling system for basketball training of claim 1, wherein, Based on the training allocation scheduling result, the training data set in a specified time period is extracted, and trend correlation data is obtained; Based on the trend correlation data, the change trend index of the training effect is calculated through a formula: ; Based on the change trend index of the training effect, the preset trend threshold is compared to identify abnormal trends, determine whether the training amount needs to be increased, and remind the coaching personnel in time, and obtain the training effect analysis information. ； ​ wherein, is an index of the trend of the training effect, is the score of the current training item, is the average of the training item scores, is the standard deviation of the training item scores, is the weight coefficient of the item, is the total number of training items; ​

Images