Data governance management method and system oriented to sports of middle school exam

Abstract

The data governance management system comprises a metadata acquisition module, the output end of the metadata acquisition module is bidirectionally and electrically connected with a terminal processor, and the output end of the terminal processor is bidirectionally and electrically connected with a data governance model establishment system for the sports of the Chinese school exam. Student information, physical fitness test scores and physical education course scores are collected through the metadata collection module, data are transmitted to the terminal processor, the terminal processor processes the data and transmits the data to the middle school examination physical education data management model building system, and the middle school examination physical education data management model building system builds a model. According to the system and the method, the operation mode of mastering the physical test state of the student in the middle school examination through a manual screening mode can be replaced, time and labor are saved, a large amount of time can be saved in the statistical process, and measurement and calculation errors are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of data management for physical education in senior high school entrance examinations, and specifically to a data management method and system for physical education in senior high school entrance examinations. Background Art

[0002] The data governance management of physical education in the senior high school entrance examination requires the establishment of a scientific, standardized and secure data governance mechanism. Through in-depth analysis and mining of data, it can provide strong support for teaching and examination decisions, promote the healthy physical growth of students and the high-quality and balanced development of physical education, establish a scientific, standardized and secure data governance system, clarify the responsibilities and authorities of all parties, and formulate unified data governance processes and specifications to ensure the normalization and standardization of data.

[0003] For example, the patent number published on the China Patent Network is: 201811644961.0, and the patent name is: Data governance management method and system for education, including: establishing a data model management platform; establishing data standards, and uniformly implemented by the data model management platform; establishing a data quality management system, performing quality checks on data, and forming a data quality report. The present invention also discloses a data governance management system for education, including a data model management module, a data standard management module, and a data quality management module: the data model management module is used to establish a data model management platform; the data standard management module is used to establish data standards; the data quality management module is used to establish a data quality management system. The present invention can solve the problems encountered in the current education industry, such as inconsistent data standards, low data quality, unclear data management responsibilities, lack of data full life cycle management, and data traceability.

[0004] However, the existing data governance and management methods for physical education in the senior high school entrance examination are relatively simple, and students' physical education test status is mainly grasped through manual screening, which is time-consuming and labor-intensive, and requires a lot of time in the statistical process, and is prone to measurement errors.

[0005] Therefore, it is necessary to design and transform the data governance management methods and systems for physical education in the senior high school entrance examination. Summary of the invention

[0006] In order to solve the problems raised in the above-mentioned background technology, the purpose of the present invention is to provide a data governance management method and system for physical education of senior high school entrance examination, which has the advantage of improving the efficiency of data governance management of physical education of senior high school entrance examination, and solves the problem that the existing data governance management method of physical education of senior high school entrance examination is relatively single, and mainly grasps the test status of students' physical education of senior high school entrance examination through manual screening, which is time-consuming and labor-intensive, and requires a lot of time in the statistical process, and is prone to measurement errors.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a data governance management method and system for high school entrance examination physical education, including a metadata collection module; The output end of the metadata acquisition module is bidirectionally electrically connected to the terminal processor, the output end of the terminal processor is bidirectionally electrically connected to the system for establishing the physical education data governance model for the senior high school entrance examination, the output end of the system for establishing the physical education data governance model for the senior high school entrance examination is bidirectionally electrically connected to the data storage module, the output end of the system for establishing the physical education data governance model for the senior high school entrance examination is bidirectionally electrically connected to the report output module, and the output end of the report output module is bidirectionally electrically connected to the input end of the data storage module.

[0008] As a preferred embodiment of the present invention, the high school entrance examination physical education data management model establishment system includes a model establishment unit, the input end of the model establishment unit is bidirectionally electrically connected to the output end of the terminal processor, the output end of the model establishment unit is bidirectionally electrically connected to a multidimensional convolutional neural network, the output end of the multidimensional convolutional neural network is bidirectionally electrically connected to a coding data module, the output end of the coding data module is bidirectionally electrically connected to a self-noise reduction encoder, the output end of the self-noise reduction encoder is bidirectionally electrically connected to long-term and short-term data, and the long-term and short-term data are stored inside the data storage module.

[0009] As a preferred embodiment of the present invention, the output end of the model building unit is bidirectionally electrically connected to a linear programming model, the output end of the linear programming model is bidirectionally electrically connected to a Monte Carlo algorithm model, the output end of the Monte Carlo algorithm model is bidirectionally electrically connected to a data fitting unit, the input end of the data fitting unit is bidirectionally electrically connected to the output end of the multidimensional convolutional neural network, the output end of the data fitting unit is bidirectionally electrically connected to a backtracking search unit, the output end of the backtracking search unit is bidirectionally electrically connected to a comparison unit, the input end of the comparison unit is bidirectionally electrically connected to the output end of long-term and short-term data, and the output end of the comparison unit is bidirectionally electrically connected to the input end of a report output module.

[0010] As a preferred embodiment of the present invention, the output end of the long-term and short-term data is bidirectionally electrically connected to a data processing module, the output end of the data processing module is bidirectionally electrically connected to the input end of a data storage module, the input end of the data processing module is bidirectionally electrically connected to the output end of a report output module, and the data processing module consists of a data compression module and a data sorting module.

[0011] As a preferred embodiment of the present invention, the output end of the data storage module is bidirectionally electrically connected to a remote transceiver module, the output end of the remote transceiver module is bidirectionally electrically connected to a cloud database, and the input end of the remote transceiver module is bidirectionally electrically connected to the output end of the report output module.

[0012] As a preferred embodiment of the present invention, the metadata collection module is composed of physical education course scores, physical fitness test scores and student information.

[0013] As a preferred embodiment of the present invention, the output end of the metadata acquisition module is bidirectionally electrically connected to a data cache module, and the output end of the data cache module is bidirectionally electrically connected to the input end of the terminal processor.

[0014] The data governance management method and system for high school entrance examination physical education include the following steps: S1: The metadata collection module collects student information, physical fitness test scores and physical education course scores and transmits the data to the data cache module. The terminal processor processes the data and transmits it to the high school entrance examination physical education data governance model establishment system; S2: The model building unit can use the physical engine, logical model building module and conceptual model building module to build the model. At the same time, it can clean, organize and convert the collected data for subsequent model training. According to the type of problem and the characteristics of the data, the linear programming model and the multidimensional convolutional neural network are used to build the model respectively. The linear programming model can use the Monte Carlo algorithm model to provide a wider range of data science functions, including data preprocessing, model selection and evaluation, while the multidimensional convolutional neural network can integrate and process different sources and different types of high school entrance examination physical education data, including data extraction, conversion, loading and other functions, to provide a unified data view and data service; S3: The model data processed by the two are imported into the data fitting unit, and the comparison unit can compare the data model with the long-term and short-term data and pass the results to the report production module. The report production module uses the data processing module to compress the data model and then stores it in the data storage module. At the same time, the report production module can use the remote transceiver module to pass the results to the cloud database. Users can use mobile terminals to manage and use the internal data of the cloud database.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects student information, physical fitness test scores and physical education course scores through a metadata collection module and transmits the data to a terminal processor. The terminal processor processes the data and transmits the data to a high school entrance examination physical education data management model establishment system. The high school entrance examination physical education data management model establishment system establishes a model and stores the model inside a data storage module. The present invention can replace the operation method of grasping the physical education test status of students for the high school entrance examination by manual screening, which saves time and effort, and can save a lot of time in the statistical process and avoid measurement errors.

[0016] 2. The present invention can establish a model using a physical engine, a logical model building module and a conceptual model building module through a model building unit. At the same time, the collected data can be cleaned, sorted and converted for subsequent model training. According to the type of problem and the characteristics of the data, the multidimensional convolutional neural network can integrate and process physical education data from different sources and different types for the senior high school entrance examination, including data extraction, conversion, loading and other functions to provide a unified data view and data service, which can improve the deep learning effect of model building and improve the efficiency of model building.

[0017] 3. The present invention can provide a wider range of data science functions by using the Monte Carlo algorithm model through the linear programming model, including data preprocessing, model selection and evaluation. The comparison unit can compare the data model with the long-term and short-term data and pass the results to the report output module, and can perform secondary establishment processing on the data. At the same time, in the process of comparing the data, it can achieve the effect of reducing the model establishment error.

[0018] 4. The present invention can reduce the space occupied by data and facilitate data collection and extraction by setting up a data compression module and a data sorting module.

[0019] 5. The present invention can back up data by setting up a remote transceiver module and a cloud database, including the management of data generation, processing, storage, archiving and destruction, so as to ensure timely processing and effective use of data.

[0020] 6. The present invention can improve the accuracy of data collection by setting physical education course scores, physical fitness test scores and student information, making it easier for teachers to centrally grasp the data.

[0021] 7. The present invention can improve data access speed, reduce database load, improve system performance, and enhance system availability by setting up a data cache module. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] like Figure 1 As shown, the data governance management method and system for high school entrance examination physical education provided by the present invention include a metadata collection module; The output end of the metadata acquisition module is bidirectionally electrically connected to the terminal processor, the output end of the terminal processor is bidirectionally electrically connected to the high school entrance examination physical education data management model establishment system, the output end of the high school entrance examination physical education data management model establishment system is bidirectionally electrically connected to the data storage module, the output end of the high school entrance examination physical education data management model establishment system is bidirectionally electrically connected to the report output module, and the output end of the report output module is bidirectionally electrically connected to the input end of the data storage module.

[0025] refer to Figure 1 The high school entrance examination physical education data governance model establishment system includes a model establishment unit, the input end of the model establishment unit is bidirectionally electrically connected to the output end of the terminal processor, the output end of the model establishment unit is bidirectionally electrically connected to a multi-dimensional convolutional neural network, the output end of the multi-dimensional convolutional neural network is bidirectionally electrically connected to a coding data module, the output end of the coding data module is bidirectionally electrically connected to a self-noise reduction encoder, the output end of the self-noise reduction encoder is bidirectionally electrically connected to long-term and short-term data, and the long-term and short-term data are stored inside the data storage module.

[0026] As a technical optimization solution of the present invention, the model can be established by using the physical engine, the logical model building module and the conceptual model building module through the model building unit. At the same time, the collected data can be cleaned, sorted and converted for subsequent model training. According to the type of problem and the characteristics of the data, the multi-dimensional convolutional neural network can integrate and process the physical education data of the high school entrance examination from different sources and different types, including data extraction, conversion, loading and other functions, to provide a unified data view and data service, which can improve the deep learning effect of model building and improve the efficiency of model building.

[0027] refer to Figure 1 The output end of the model building unit is bidirectionally electrically connected to the linear programming model, the output end of the linear programming model is bidirectionally electrically connected to the Monte Carlo algorithm model, the output end of the Monte Carlo algorithm model is bidirectionally electrically connected to the data fitting unit, the input end of the data fitting unit is bidirectionally electrically connected to the output end of the multidimensional convolutional neural network, the output end of the data fitting unit is bidirectionally electrically connected to the backtracking search unit, the output end of the backtracking search unit is bidirectionally electrically connected to the comparison unit, the input end of the comparison unit is bidirectionally electrically connected to the output end of the long-term and short-term data, and the output end of the comparison unit is bidirectionally electrically connected to the input end of the report output module.

[0028] As a technical optimization solution of the present invention, the Monte Carlo algorithm model can be used through the linear programming model to provide a wider range of data science functions, including data preprocessing, model selection and evaluation. The comparison unit can compare the data model with long-term and short-term data and pass the results to the report output module. It can perform secondary establishment processing on the data. At the same time, in the process of comparing the data, it can achieve the effect of reducing the model establishment error.

[0029] refer to Figure 1 The output end of the long-term and short-term data is bidirectionally electrically connected to the data processing module, the output end of the data processing module is bidirectionally electrically connected to the input end of the data storage module, the input end of the data processing module is bidirectionally electrically connected to the output end of the report output module, and the data processing module is composed of a data compression module and a data sorting module.

[0030] As a technical optimization solution of the present invention, by setting a data compression module and a data sorting module, the space occupied by data can be reduced and data collection and extraction can be facilitated.

[0031] refer to Figure 1 The output end of the data storage module is bidirectionally electrically connected to the remote transceiver module, the output end of the remote transceiver module is bidirectionally electrically connected to the cloud database, and the input end of the remote transceiver module is bidirectionally electrically connected to the output end of the report output module.

[0032] As a technical optimization solution of the present invention, by setting up a remote transceiver module and a cloud database, data can be backed up, including the management of data generation, processing, storage, archiving and destruction, so as to ensure timely processing and effective use of data.

[0033] refer to Figure 1 ,The metadata collection module is composed of physical education course scores, physical fitness test scores and student information.

[0034] As a technical optimization solution of the present invention, by setting physical education course scores, physical fitness test scores and student information, the accuracy of data collection can be improved, making it easier for teachers to centrally grasp the data.

[0035] refer to Figure 1 The output end of the metadata acquisition module is bidirectionally electrically connected to the data cache module, and the output end of the data cache module is bidirectionally electrically connected to the input end of the terminal processor.

[0036] As a technical optimization solution of the present invention, by setting up a data cache module, it is possible to increase data access speed, reduce database load, improve system performance, and enhance system availability.

[0037] refer to Figure 1 , a data governance management method and system for high school entrance examination physical education, including the following steps: S1: The metadata collection module collects student information, physical fitness test scores and physical education course scores and transmits the data to the data cache module. The terminal processor processes the data and transmits it to the high school entrance examination physical education data governance model establishment system; S2: The model building unit can use the physical engine, logical model building module and conceptual model building module to build the model. At the same time, it can clean, organize and convert the collected data for subsequent model training. According to the type of problem and the characteristics of the data, the linear programming model and the multidimensional convolutional neural network are used to build the model respectively. The linear programming model can use the Monte Carlo algorithm model to provide a wider range of data science functions, including data preprocessing, model selection and evaluation, while the multidimensional convolutional neural network can integrate and process different sources and different types of high school entrance examination physical education data, including data extraction, conversion, loading and other functions, to provide a unified data view and data service; S3: The model data processed by the two are imported into the data fitting unit, and the comparison unit can compare the data model with the long-term and short-term data and pass the results to the report production module. The report production module uses the data processing module to compress the data model and then stores it in the data storage module. At the same time, the report production module can use the remote transceiver module to pass the results to the cloud database. Users can use mobile terminals to manage and use the internal data of the cloud database.

[0038] The working principle and use process of the present invention are as follows: when in use, the metadata collection module collects student information, physical fitness test scores and physical education course scores and transmits the data to the data cache module. The terminal processor processes the data and transmits it to the high school entrance examination physical education data management model establishment system. The model establishment unit can use the physical engine, the logical model establishment module and the conceptual model establishment module to establish the model. At the same time, the collected data can be cleaned, sorted and converted for subsequent model training. According to the type of problem and the characteristics of the data, the linear programming model and the multidimensional convolutional neural network are used to establish the model respectively. The linear programming model can use the Monte Carlo algorithm model to provide a wider range of data science functions, including Including data preprocessing, model selection and evaluation, and the multidimensional convolutional neural network can integrate and process different sources and different types of high school entrance examination physical education data, including data extraction, conversion, loading and other functions, to provide a unified data view and data service, the model data processed by the two is imported into the data fitting unit, and the comparison unit can compare the data model with the long-term and short-term data and pass the results to the report output module. The report output module uses the data processing module to compress the data model and then stores it in the data storage module. At the same time, the report output module can use the remote transceiver module to pass the results to the cloud database, and users can use mobile terminals to manage and use the internal data of the cloud database.

[0039] To sum up: the data governance management method and system for physical education of senior high school entrance examination, collects student information, physical fitness test scores and physical education course scores through the metadata collection module and transmits the data to the terminal processor, the terminal processor processes the data and transmits it to the physical education data governance model establishment system of senior high school entrance examination, the physical education data governance model establishment system of senior high school entrance examination establishes the model and stores the model inside the data storage module. The present invention can replace the operation mode of grasping the physical education test status of students in senior high school entrance examination through manual screening, which saves time and effort, and can save a lot of time in the statistical process and avoid measurement errors.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Data governance and management system for high school entrance physical education, including metadata collection module; Features: The output end of the metadata acquisition module is bidirectionally electrically connected to the terminal processor, the output end of the terminal processor is bidirectionally electrically connected to the system for establishing the physical education data governance model for the senior high school entrance examination, the output end of the system for establishing the physical education data governance model for the senior high school entrance examination is bidirectionally electrically connected to the data storage module, the output end of the system for establishing the physical education data governance model for the senior high school entrance examination is bidirectionally electrically connected to the report output module, and the output end of the report output module is bidirectionally electrically connected to the input end of the data storage module.

2. According to claim 1, the data management system for physical education in the high school entrance examination is characterized by: The system for establishing a model for managing physical education data for the senior high school entrance examination includes a model establishing unit, an input end of the model establishing unit is bidirectionally electrically connected to an output end of a terminal processor, an output end of the model establishing unit is bidirectionally electrically connected to a multidimensional convolutional neural network, an output end of the multidimensional convolutional neural network is bidirectionally electrically connected to a coding data module, an output end of the coding data module is bidirectionally electrically connected to a self-noise reduction encoder, an output end of the self-noise reduction encoder is bidirectionally electrically connected to long-term and short-term data, and the long-term and short-term data are stored inside a data storage module.

3. The data management system for physical education in the high school entrance examination according to claim 2 is characterized by: The output end of the model building unit is bidirectionally electrically connected to the linear programming model, the output end of the linear programming model is bidirectionally electrically connected to the Monte Carlo algorithm model, the output end of the Monte Carlo algorithm model is bidirectionally electrically connected to the data fitting unit, the input end of the data fitting unit is bidirectionally electrically connected to the output end of the multidimensional convolutional neural network, the output end of the data fitting unit is bidirectionally electrically connected to the backtracking search unit, the output end of the backtracking search unit is bidirectionally electrically connected to the comparison unit, the input end of the comparison unit is bidirectionally electrically connected to the output end of the long-term and short-term data, and the output end of the comparison unit is bidirectionally electrically connected to the input end of the report output module.

4. The data management system for physical education in the high school entrance examination according to claim 2 is characterized by: The output end of the long-term and short-term data is bidirectionally electrically connected to a data processing module, the output end of the data processing module is bidirectionally electrically connected to the input end of a data storage module, the input end of the data processing module is bidirectionally electrically connected to the output end of a report output module, and the data processing module consists of a data compression module and a data sorting module.

5. The data management system for physical education in the high school entrance examination according to claim 1 is characterized by: The output end of the data storage module is bidirectionally electrically connected to a remote transceiver module, the output end of the remote transceiver module is bidirectionally electrically connected to a cloud database, and the input end of the remote transceiver module is bidirectionally electrically connected to the output end of the report output module.

6. The data management system for physical education in the high school entrance examination according to claim 1 is characterized by: The metadata collection module consists of physical education course scores, physical fitness test scores and student information.

7. The data management system for physical education in the high school entrance examination according to claim 1 is characterized by: The output end of the metadata acquisition module is bidirectionally electrically connected to the data cache module, and the output end of the data cache module is bidirectionally electrically connected to the input end of the terminal processor.

8. The data governance management method for physical education in high school entrance examination according to any of the above claims is characterized by: The following steps are involved: S1: The metadata collection module collects student information, physical fitness test scores and physical education course scores and transmits the data to the data cache module. The terminal processor processes the data and transmits it to the high school entrance examination physical education data governance model establishment system; S2: The model building unit can use the physical engine, logical model building module and conceptual model building module to build the model. At the same time, it can clean, organize and convert the collected data for subsequent model training. According to the type of problem and the characteristics of the data, the linear programming model and the multidimensional convolutional neural network are used to build the model respectively. The linear programming model can use the Monte Carlo algorithm model to provide a wider range of data science functions, including data preprocessing, model selection and evaluation, while the multidimensional convolutional neural network can integrate and process different sources and different types of high school entrance examination physical education data, including data extraction, conversion, loading and other functions, to provide a unified data view and data service; S3: The model data processed by the two are imported into the data fitting unit, and the comparison unit can compare the data model with the long-term and short-term data and pass the results to the report production module. The report production module uses the data processing module to compress the data model and then stores it in the data storage module. At the same time, the report production module can use the remote transceiver module to pass the results to the cloud database. Users can use mobile terminals to manage and use the internal data of the cloud database.

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