Digital informatization physical education comprehensive management system

Abstract

The invention relates to the technical field of physical education management, and particularly discloses a digital informatization physical education comprehensive management system, which comprises a user interaction module, a data acquisition module, a data processing module, a system optimization module and a distributed database, the data acquisition module acquires teaching content, motion completion degree and user physiological data through a camera, a motion capture sensor and wearable equipment; the data processing module cleans and converts the data, and quantitatively evaluates whether the learning results of the students are qualified or not by using a constructed education evaluation coefficient mathematical model; the system optimization module calculates a scene optimization coefficient by analyzing a user favorable comment trend and multimedia loading performance, and automatically identifies a teaching scene needing to be optimized; the distributed database adopts a master-slave replication and fragmentation technology to improve data access efficiency and fault tolerance, digital management of physical education is achieved, and therefore the quality and efficiency of physical education are improved.

Description

Technical Field

[0001] This invention relates to the field of sports education management technology, specifically a digital and information-based comprehensive sports education management system. Background Technology

[0002] With the advancement of educational informatization, physical education, as an important component of quality education, is gradually undergoing a digital transformation in its management model.

[0003] In existing technologies, most sports management systems suffer from the following problems: 1. They focus only on a single function, such as venue reservation or score entry, and have limited data processing capabilities, making it impossible to achieve intelligent analysis and decision support; 2. They are difficult to quickly identify teaching scenarios with poor experience or ineffective results in the system, accurately identify specific scenarios that need optimization, and make resource optimization more targeted and efficient; Therefore, this invention proposes a digital and information-based comprehensive sports education management system. Summary of the Invention

[0004] The purpose of this invention is to provide a digital and information-based comprehensive management system for physical education, thereby solving the above-mentioned technical problems: The objective of this invention can be achieved through the following technical solutions: A digital and information-based comprehensive management system for physical education, the system comprising a user interaction module, a data acquisition module, a data processing module, a system update module, and a distributed database; The user interaction module is used to enable interaction between users and the system, and the users include teachers, students and administrators; The data acquisition module is used to collect data related to physical education teaching, including teaching content data, assessment data, and physiological data. The data processing module is used to clean and transform the acquired sports teaching-related data, and to evaluate whether the learning outcomes of student users in different teaching scenarios are satisfactory. The system optimization module is used to obtain content performance parameters and user behavior parameters for different teaching scenarios, and to evaluate whether all teaching scenarios need to be optimized based on the content performance parameters and user behavior parameters. The distributed database is connected to the user interaction module, the data acquisition module, and the data processing module, respectively, and is used to store various types of data and system configuration information.

[0005] As a further description of the technical solution of the present invention, the data acquisition module includes a resource acquisition unit and a motion monitoring unit; The working process of the resource acquisition unit includes: numbering all teaching scenarios in the system according to different teaching content, with the numbers being 1, 2, ..., n in sequence; Cameras and motion capture sensors are deployed on the sports field, and video analysis algorithms are used to identify students' movements and obtain the students' movement completion rate in each teaching scenario. The working process of the motion monitoring unit includes: acquiring various physiological data of student users during exercise in real time through wearable devices.

[0006] As a further description of the technical solution of the present invention, the working process of the data processing module includes: Data cleaning is used to preprocess the collected raw data, remove outliers and missing values, standardize data format and units, and ensure data accuracy. The data conversion module is used to convert different types of data to the same standard, ensuring data accuracy.

[0007] As a further description of the technical solution of the present invention, the working process of the data processing module also includes: Obtain the completion rate, completion time, and number of actions completed for each action by the student user in the i-th teaching scenario; Construct a mathematical model for the student user education evaluation coefficient in the i-th teaching scenario, with the following expression: ; In the formula, Let be the action completion index of the student user during the current movement process in the i-th teaching scenario. Let represent the physiological indicators of a student user during their current movement in the i-th teaching scenario. and These are the weighting coefficients corresponding to the action completion indicators and physiological indicators, respectively; The student user education evaluation coefficient in the i-th teaching scenario Compared with the threshold set by the system, if If the learning outcome is greater than or equal to the corresponding threshold set by the system, it indicates that the student's learning outcome in the i-th teaching scenario is satisfactory. If the result is less than the corresponding threshold set by the system, it means that the student's learning outcome in the i-th teaching scenario is unsatisfactory.

[0008] As a further description of the technical solution of the present invention, the process of obtaining the action completion index of the student user during the current movement in the i-th teaching scenario includes: Obtain the completion rate of the j-th action of the student user in the i-th teaching scenario. The completion time of the j-th action in the i-th teaching scenario and the number of actions completed in the i-th teaching scenario ; Construct a mathematical model for the action completion index of a student user during the current movement process in the i-th teaching scenario, with the expression as follows: ; In the formula, The number of actions set for the i-th teaching scenario. Let be the weight coefficient corresponding to the j-th action, where j belongs to .

[0009] As a further description of the technical solution of the present invention, the process of obtaining the physiological indicators of the student user during the current movement in the i-th teaching scenario includes: Obtain the changes in various physiological data of a student user after the current exercise in the i-th teaching scenario, relative to the beginning of the exercise. ; Construct a mathematical model of the physiological indicators of a student user during the current movement process in the i-th teaching scenario, with the expression: ; In the formula, y represents the number of physiological data items monitored, and x belongs to y. The standard value for the change in the xth physiological data item set by the system. This is the reference value for the deviation of the xth physiological data item. is the weighting coefficient corresponding to the xth physiological data item.

[0010] As a further description of the technical solution of the present invention, the working process of the system optimization module includes: Obtain the data on the change in the number of positive user reviews over time within a set time period for the i-th teaching scenario, and fit a function of the number of positive user reviews over time within the set time period for the i-th teaching scenario. Simultaneously, obtain the loading time of all multimedia content in the i-th teaching scenario at the current moment, and construct a mathematical model for the optimization coefficients of the i-th teaching scenario, with the expression: ; In the formula, Define a function for the number of positive user reviews over time within a given time period for the i-th teaching scenario. - To set a time period, q represents the number of multimedia content items to load. Let p be the loading time of the p-th multimedia content item at the current time, where p belongs to q; The optimization coefficient of the i-th teaching scenario Compared with the threshold set by the system, if If the value is less than the corresponding threshold set by the system, it indicates that there is an optimization pointer for the i-th teaching scenario.

[0011] As a further description of the technical solution of the present invention, the distributed database adopts a master-slave replication architecture, with the master database used for data writing and the slave database used for data reading. Furthermore, data sharding technology is used to store different types of data on different nodes, thereby improving data access efficiency and system fault tolerance.

[0012] The beneficial effects of this invention are: Attached Figure Description The invention will now be further described with reference to the accompanying drawings.

[0013] Figure 1 This is a schematic diagram of the structure of the digital information-based comprehensive management system for physical education of this invention. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] Please see Figure 1 As shown, a digital information-based comprehensive management system for physical education includes a user interaction module, a data acquisition module, a data processing module, a system update module, and a distributed database. The user interaction module is used to enable interaction between users and the system, and the users include teachers, students and administrators; The data acquisition module is used to collect data related to physical education teaching, including teaching content data, assessment data, and physiological data. The data processing module is used to clean and transform the acquired sports teaching-related data, and to evaluate whether the learning outcomes of student users in different teaching scenarios are satisfactory. The system optimization module is used to obtain content performance parameters and user behavior parameters for different teaching scenarios, and to evaluate whether all teaching scenarios need to be optimized based on the content performance parameters and user behavior parameters. The distributed database is connected to the user interaction module, the data acquisition module, and the data processing module, respectively, and is used to store various types of data and system configuration information.

[0016] Through the above technical solution, this invention achieves comprehensive digital management of the physical education process by integrating user interaction, data acquisition and processing, system optimization, and distributed database functional modules. The user interaction module enables interaction between users (teachers, students, and administrators) and the system, providing a user interface for inputting commands and receiving feedback. The data acquisition module includes a resource acquisition unit and a motion monitoring unit. The resource acquisition unit deploys cameras and motion capture sensors on the sports field, identifies students' movements through video analysis algorithms, and obtains the degree of completion of the movements. The motion monitoring unit acquires various physiological data of students during exercise in real time through wearable devices, such as heart rate, steps, and calorie consumption. The data processing module first processes the data... The system performs data cleaning and transformation, then constructs a mathematical model of educational assessment coefficients, integrating movement completion indicators and physiological indicators to evaluate whether students' learning outcomes are satisfactory. The system optimization module acquires content performance parameters (such as the number of positive user reviews over time) and user behavior parameters (such as multimedia content loading time) for different teaching scenarios, constructs a mathematical model of teaching scenario optimization coefficients, and determines whether the teaching scenario needs optimization. The distributed database uses data sharding technology to store different types of data on different nodes, improving data access efficiency and system fault tolerance. This system can collect and analyze students' movement and physiological data in real time, evaluate learning outcomes, and optimize teaching scenarios based on feedback, thereby improving the quality and efficiency of physical education.

[0017] As a further description of the technical solution of the present invention, the data acquisition module includes a resource acquisition unit and a motion monitoring unit; The working process of the resource acquisition unit includes: numbering all teaching scenarios in the system according to different teaching content, with the numbers being 1, 2, ..., n in sequence; Cameras and motion capture sensors are deployed on the sports field, and video analysis algorithms are used to identify students' movements and obtain the students' movement completion rate in each teaching scenario. The operation of the motion monitoring unit includes: acquiring various physiological data of student users during exercise in real time through wearable devices, including heart rate, steps, and calorie consumption. Through the above technical solution, this embodiment assigns numbers to all teaching scenarios within the system according to the different teaching content, numbered sequentially as 1, 2, ..., n. Cameras and motion capture sensors are deployed on the sports field. Video analysis algorithms are used to identify students' movements, thereby obtaining the students' movement completion rate in each teaching scenario. Specifically, the system analyzes the movements in the video and compares them with preset standard movements to determine the standardization and completion rate of the movements. Wearable devices worn by students (such as smart bracelets, heart rate monitors, etc.) are used to acquire various physiological data of students during exercise in real time. Through the collaborative work of the resource acquisition unit and the motion monitoring unit, the data acquisition module can comprehensively collect relevant data during the physical education teaching process, providing a rich data source for subsequent data processing and analysis. This data includes not only the students' movement standardization and completion rate but also their physiological data, thus providing strong support for evaluating students' learning outcomes and optimizing teaching scenarios.

[0018] As a further description of the technical solution of the present invention, the working process of the data processing module includes: Data cleaning is used to preprocess the collected raw data, remove outliers and missing values, standardize data format and units, and ensure data accuracy; for example, peak outliers in student heart rate data can be smoothed using a sliding window algorithm. The data conversion module is used to convert different types of data to the same standard, ensuring data accuracy.

[0019] Through the above technical solutions, this embodiment preprocesses the collected raw physical education teaching-related data to remove outliers: for example, for peak outliers in student heart rate data, the system uses a sliding window algorithm for smoothing to eliminate noise and errors in the data; remove missing values: for missing parts of the data, the system may use interpolation methods or directly delete records containing missing values, depending on the nature of the data and the analysis requirements; unify data format and units: ensure that all data are on the same scale, facilitating subsequent data analysis and comparison. Through data cleaning and data transformation, the data processing module can ensure the accuracy and consistency of the input data, providing a reliable data foundation for subsequent student learning outcome evaluation and teaching scenario optimization.

[0020] As a further description of the technical solution of the present invention, the working process of the data processing module also includes: Obtain the completion rate, completion time, and number of actions completed for each action by the student user in the i-th teaching scenario; Construct a mathematical model for the student user education evaluation coefficient in the i-th teaching scenario, with the following expression: ; In the formula, Let be the action completion index of the student user during the current movement process in the i-th teaching scenario. Let represent the physiological indicators of a student user during their current movement in the i-th teaching scenario. and These are the weighting coefficients corresponding to the action completion indicators and physiological indicators, respectively; The student user education evaluation coefficient in the i-th teaching scenario Compared with the threshold set by the system, if If the learning outcome is greater than or equal to the corresponding threshold set by the system, it indicates that the student's learning outcome in the i-th teaching scenario is satisfactory. If the result is less than the corresponding threshold set by the system, it means that the student's learning outcome in the i-th teaching scenario is unsatisfactory.

[0021] Through the above technical solution, this embodiment is used to evaluate whether the learning outcomes of student users in different teaching scenarios are satisfactory. A mathematical model of the educational evaluation coefficient for the student user in the i-th teaching scenario is constructed. This model integrates action completion indicators and physiological indicators, and a comprehensive educational evaluation coefficient is obtained through weighted summation. The calculated educational evaluation coefficient is compared with a threshold set by the system. If the educational evaluation coefficient is greater than or equal to the threshold set by the system, the student user's learning outcome in the i-th teaching scenario is deemed satisfactory; otherwise, it is deemed unsatisfactory. Through the above process, the data processing module can comprehensively and objectively evaluate the student's learning outcomes in different teaching scenarios, providing teachers with targeted teaching feedback, thereby helping students improve their actions and enhance learning effectiveness.

[0022] As a further description of the technical solution of the present invention, the process of obtaining the action completion index of the student user during the current movement in the i-th teaching scenario includes: Obtain the completion rate of the j-th action of the student user in the i-th teaching scenario. The completion time of the j-th action in the i-th teaching scenario and the number of actions completed in the i-th teaching scenario ; Construct a mathematical model for the action completion index of a student user during the current movement process in the i-th teaching scenario, with the expression as follows: ; In the formula, The number of actions set for the i-th teaching scenario. Let be the weight coefficient corresponding to the j-th action, where j belongs to .

[0023] Based on the above technical solution, this embodiment describes the process of obtaining the action completion index of a student user during the current movement in the i-th teaching scenario. The system first obtains the completion degree of the j-th action of the student user in the i-th teaching scenario. This refers to the accuracy or standard at which the student completes the action. Simultaneously, the system records the completion time of the j-th action in the i-th teaching scenario. This refers to the time required for the student to complete the action. In addition, the system also counts the total number of actions completed by the student in the i-th teaching scenario. Based on the collected data, the system constructs a mathematical model for the action completion indicators of student users during the current movement process in the i-th teaching scenario. In the formula, To achieve the required quantity ratio, assess whether the number of actions completed by students meets the standard. To assess the quality of each student's performance in completing each action, a completion ratio is used. Efficiency ratio is used to evaluate the efficiency of students in completing each action.

[0024] As a further description of the technical solution of the present invention, the process of obtaining the physiological indicators of the student user during the current movement in the i-th teaching scenario includes: Obtain the changes in various physiological data of a student user after the current exercise in the i-th teaching scenario, relative to the beginning of the exercise. ; Construct a mathematical model of the physiological indicators of a student user during the current movement process in the i-th teaching scenario, with the expression: ; In the formula, y represents the number of physiological data items monitored, and x belongs to y. The standard value for the change in the xth physiological data item set by the system. This is the reference value for the deviation of the xth physiological data item. is the weighting coefficient corresponding to the xth physiological data item.

[0025] Through the above technical solution, this embodiment describes the process of acquiring physiological indicators of a student user during their current exercise in the i-th teaching scenario. The system acquires various physiological data of the student in real time, such as heart rate, steps, and calorie consumption, through wearable devices before, during, or after exercise. Specifically, for the evaluation of physiological indicators, the system focuses on the changes in various physiological data after exercise relative to the beginning of exercise, such as changes in heart rate and increases in steps. Based on the collected changes in physiological data, the system constructs a mathematical model of the student user's physiological indicators during their current exercise in the i-th teaching scenario. The physiological state of students is comprehensively assessed by comparing actual physiological changes with standard changes and taking into account the importance (weighting coefficient) of various physiological data.

[0026] Suppose the teaching system has a 10th teaching scenario named "Basic Basketball Dribbling Instruction," which requires a certain number of actions to be completed. =3 (standing high and low dribbling, crossover dribbling, behind-the-back dribbling). The student actually completed two items: standing high and low dribbling and crossover dribbling. The standing high and low dribbling completion rate was 0.95, with an actual time of 58 seconds; the crossover dribbling completion rate was 0.8, with an actual time of 40 seconds. Substituting these into the mathematical model of the student's action completion index during the current movement process in the i-th teaching scenario, we obtain... =1.25; The system monitored two physiological data points: heart rate change and calorie consumption. The heart rate change was 70, and the calorie consumption was 60. These were substituted into the mathematical model of physiological indicators for the student user during the current exercise process in the i-th teaching scenario. =1.17; Comprehensive calculation =1.09, which is greater than the system's set passing threshold of 1.0. Therefore, the system determines that the student's learning outcome in teaching scenario 10 is qualified.

[0027] As a further description of the technical solution of the present invention, the working process of the system optimization module includes: Obtain the data on the change in the number of positive user reviews over time within a set time period for the i-th teaching scenario, and fit a function of the number of positive user reviews over time within the set time period for the i-th teaching scenario. Simultaneously, obtain the loading time of all multimedia content in the i-th teaching scenario at the current moment, and construct a mathematical model for the optimization coefficients of the i-th teaching scenario, with the expression: ; In the formula, Define a function for the number of positive user reviews over time within a given time period for the i-th teaching scenario. - To set a time period, q represents the number of multimedia content items to load. Let p be the loading time of the p-th multimedia content item at the current time, where p belongs to q; The optimization coefficient of the i-th teaching scenario Compared with the threshold set by the system, if If the value is less than the corresponding threshold set by the system, it indicates that there is an optimization pointer for the i-th teaching scenario.

[0028] Through the above technical solution, this embodiment automatically identifies teaching scenarios that need optimization, evaluates them from two dimensions: user feedback (subjective) and system performance (objective), obtains data on the change of the number of positive user reviews over time within a set time period for the i-th teaching scenario, and fits a function of the number of positive user reviews over time within the set time period for the i-th teaching scenario. Simultaneously, it obtains the loading time of all multimedia content in the i-th teaching scenario at the current moment, and constructs a mathematical model of the optimization coefficients for the i-th teaching scenario. , For user positive review points, As a performance penalty item, this mechanism allows the system to automatically and quantitatively identify teaching scenarios with poor user experience or potential problems, providing precise data support for administrators' optimization efforts.

[0029] Assume the system analyzes teaching scenario number 10 (basic basketball dribbling instruction): Time range: It was 30 days ago. It's today.

[0030] Positive review function: The fitted function Positive reviews are showing slow growth, and points are being earned. =500 (total positive reviews); Performance data: This scenario has q=5 videos, and the current loading times are [1200ms, 1500ms, 1800ms, 2000ms, 3000ms] respectively; Average loading time = (1200 + 1500 + 1800 + 2000 + 3000) / 5 = 1900ms ≈0.000526; Calculate the optimization coefficients: =500 * 0.000526 ≈ 0.263; The system's optimization threshold is set to 0.5. (0.263) < threshold (0.5) Conclusion: The system determined that teaching scenario number 10 needs optimization. The possible reason is that although it received some positive reviews, the video loading was extremely slow, severely impacting the user experience and resulting in a low optimization coefficient.

[0031] As a further description of the technical solution of the present invention, the distributed database adopts a master-slave replication architecture, with the master database used for data writing and the slave database used for data reading. Furthermore, data sharding technology is used to store different types of data on different nodes, thereby improving data access efficiency and system fault tolerance.

[0032] It should be noted that the formulas in this application are all dimensionless and numerical calculations. The formulas are obtained by software simulation based on a large amount of data and are the closest to the real situation. The thresholds, standard intervals and coefficients involved in this application are all empirical values ​​and are selected by those skilled in the art according to the actual situation.

[0033] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A digital and information-based comprehensive management system for physical education, characterized in that, The system includes a user interaction module, a data acquisition module, a data processing module, a system update module, and a distributed database; The user interaction module is used to enable interaction between users and the system, and the users include teachers, students and administrators; The data acquisition module is used to collect data related to physical education teaching, including teaching content data, assessment data, and physiological data. The data processing module is used to clean and transform the acquired sports teaching-related data, and to evaluate whether the learning outcomes of student users in different teaching scenarios are satisfactory. The system optimization module is used to obtain content performance parameters and user behavior parameters for different teaching scenarios, and to evaluate whether all teaching scenarios need to be optimized based on the content performance parameters and user behavior parameters. The distributed database is connected to the user interaction module, the data acquisition module, and the data processing module, respectively, and is used to store various types of data and system configuration information.

2. The digital information-based comprehensive management system for physical education according to claim 1, characterized in that, The data acquisition module includes a resource acquisition unit and a motion monitoring unit; The working process of the resource acquisition unit includes: numbering all teaching scenarios in the system according to different teaching content, with the numbers being 1, 2, ..., n in sequence; Cameras and motion capture sensors are deployed on the sports field, and video analysis algorithms are used to identify students' movements and obtain the students' movement completion rate in each teaching scenario. The working process of the motion monitoring unit includes: acquiring various physiological data of student users during exercise in real time through wearable devices.

3. The digital information-based comprehensive management system for physical education according to claim 1, characterized in that, The working process of the data processing module includes: Data cleaning is used to preprocess the collected raw data, remove outliers and missing values, standardize data format and units, and ensure data accuracy. The data conversion module is used to convert different types of data to the same standard, ensuring data accuracy.

4. The digital information-based comprehensive management system for physical education according to claim 1, characterized in that, The operation of the data processing module also includes: Obtain the completion rate, completion time, and number of actions completed for each action by the student user in the i-th teaching scenario; Construct a mathematical model for the student user education evaluation coefficient in the i-th teaching scenario, with the following expression: ； In the formula, Let be the action completion index of the student user during the current movement process in the i-th teaching scenario. Let represent the physiological indicators of a student user during their current movement in the i-th teaching scenario. and These are the weighting coefficients corresponding to the action completion indicators and physiological indicators, respectively; The student user education evaluation coefficient in the i-th teaching scenario Compared with the threshold set by the system, if If the learning outcome is greater than or equal to the corresponding threshold set by the system, it indicates that the student's learning outcome in the i-th teaching scenario is satisfactory. If the result is less than the corresponding threshold set by the system, it means that the student's learning outcome in the i-th teaching scenario is unsatisfactory.

5. The digital information-based comprehensive management system for physical education according to claim 4, characterized in that, The process of obtaining the action completion index of the student user during the current movement in the i-th teaching scenario includes: Obtain the completion rate of the j-th action of the student user in the i-th teaching scenario. The completion time of the j-th action in the i-th teaching scenario and the number of actions completed in the i-th teaching scenario ; Construct a mathematical model for the action completion index of a student user during the current movement process in the i-th teaching scenario, with the expression as follows: ； In the formula, The number of actions set for the i-th teaching scenario. Let be the weight coefficient corresponding to the j-th action, where j belongs to .

6. The digital information-based comprehensive management system for physical education according to claim 4, characterized in that, The process of acquiring physiological indicators of the student user during the current movement in the i-th teaching scenario includes: Obtain the changes in various physiological data of a student user after the current exercise in the i-th teaching scenario, relative to the beginning of the exercise. ; Construct a mathematical model of the physiological indicators of a student user during the current movement process in the i-th teaching scenario, with the expression: ； In the formula, y represents the number of physiological data items monitored, and x belongs to y. The standard value for the change in the xth physiological data item set by the system. This is the reference value for the deviation of the xth physiological data item. is the weighting coefficient corresponding to the xth physiological data item.

7. The digital information-based comprehensive management system for physical education according to claim 1, characterized in that, The working process of the system optimization module includes: Obtain the data on the change in the number of positive user reviews over time within a set time period for the i-th teaching scenario, and fit a function of the number of positive user reviews over time within the set time period for the i-th teaching scenario. Simultaneously, obtain the loading time of all multimedia content in the i-th teaching scenario at the current moment, and construct a mathematical model for the optimization coefficients of the i-th teaching scenario, with the expression: ； In the formula, Define a function for the number of positive user reviews over time within a given time period for the i-th teaching scenario. - To set a time period, q represents the number of multimedia content items to load. Let p be the loading time of the p-th multimedia content item at the current time, where p belongs to q; The optimization coefficient of the i-th teaching scenario Compared with the threshold set by the system, if If the value is less than the corresponding threshold set by the system, it indicates that there is an optimization pointer for the i-th teaching scenario.

8. The digital information-based comprehensive management system for physical education according to claim 1, characterized in that, The distributed database adopts a master-slave replication architecture, with the master database used for data writing and the slave database used for data reading. It also uses data sharding technology to store different types of data on different nodes, improving data access efficiency and system fault tolerance.

Images