Teaching informatization management system and method

Abstract

The invention provides a teaching informatization management system and method, and the method comprises the steps: determining function features based on teaching information management function requirements, building a rule engine based on the function features, building a digital model based on the rule engine in combination with a teaching information management process, and uploading data parameters related to the digital model. The method comprises the following steps: operating a digital model based on data parameters to obtain a teaching information management dynamic process, obtaining related data from the teaching information management dynamic process based on management requirements, and managing the related data according to a corresponding management scheme, so that standard management and comprehensive management of teaching information are realized, and education management informatization is better realized.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching information management, and in particular to a teaching information management system and method. Background Art

[0002] Educational informatization is an important symbol of educational modernization. It aims to promote educational modernization through the application of information technology, narrow the "digital divide" between regions, and promote coordinated development among regions.

[0003] With the rapid development of information technology, significant progress has been made in the construction of educational management informatization, including the construction of the education and scientific research network, the establishment of national, provincial and municipal education data centers, the establishment of important infrastructure such as off-site disaster recovery for the education system, and the widespread deployment of basic education databases and management information systems. However, with the advancement of information technology, educational management informatization also faces some problems, such as insufficient investment in informatization, insufficient data efficiency, and a lack of norms and standards. These problems have restricted the development of educational management informatization and measures need to be taken to address them. Summary of the Invention

[0004] The present invention provides a teaching information management system and method to solve the problems raised in the background technology.

[0005] A teaching information management system, comprising: A rule building module is used to determine functional features based on the requirements of teaching information management functions, and to build a rule engine based on the functional features; Model building module, used to build digital models based on rule engines and combined with teaching information management processes; A data communication module is used to upload data parameters related to the digital model, run the digital model based on the data parameters, and obtain a dynamic process for teaching information management; The data management module is used to obtain relevant data from the teaching information management dynamic process based on management needs, and manage the relevant data according to the corresponding management plan.

[0006] Preferably, it also includes an early warning module, which is used to obtain the management data under the management plan and issue early warning reminders based on the management data; The early warning module includes: An acquisition unit, configured to acquire management data under the management scheme and obtain a standard data management threshold corresponding to the digital model; A judging unit, configured to judge whether the management data exceeds a standard data management threshold; If so, determine that the teaching information management data is abnormal and issue an early warning reminder; Otherwise, make sure that the teaching information management data is normal.

[0007] Preferably, the rule establishment module includes: A numbering unit is used to create unique numbers for all engine units based on the category characteristics of the engine units and obtain an engine unit table; A splitting unit, configured to split the functional characteristics based on the functional units, obtain functional unit characteristics that satisfy the functional units, and obtain a number sequence that implements the functional unit characteristics from the engine unit table; a combining unit, configured to combine the engine units based on the numbering sequence, determine the basic data structure of the rule according to the combination result, and determine the correspondence between the basic data structure of the rule and the numbering sequence; An establishment unit is used to divide the basic data structure of the rule based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, to obtain multiple category rule groups, and establish a rule list based on the category rule groups; An adding unit, configured to add rules to the engine in order according to the rule list to obtain an initial rule engine; A testing unit, configured to collect historical teaching data based on teaching information management function requirements, create test data that satisfies the initial rule engine, test the initial rule engine based on the test data, and obtain a test result; The adjustment unit is used to adjust the initial rule engine based on the test results to obtain the final rule engine.

[0008] Preferably, the adjustment unit includes: The operation analysis unit is used to obtain the operation correctness and operation smoothness of the initial rule engine from the test results; The first adjustment unit is configured to reorder the number sequence when the running smoothness of the initial rule engine does not meet the requirements, and obtain a final rule engine based on the latest ordering result; The second adjustment unit is used to reselect the numbering sequence when the running correctness of the initial rule engine does not meet the requirements, and obtain the final rule engine based on the latest selection result.

[0009] Preferably, the model building module includes: An information determination unit, for determining established model attributes and construction features based on a teaching information management process; The model building unit is used to build the model based on the model attributes and construction features using the rule engine to obtain a digital model.

[0010] Preferably, the data communication module includes: The standardization unit is used to obtain all data generated in the teaching information management system, standardize all data based on the data standard of the digital model, and obtain standard data; an extraction unit, configured to obtain target data related to the digital model from the standard data based on the management characteristics of the digital model, and extract data parameters from the target data; An operating unit, configured to operate the digital model based on the data parameters to obtain dynamic result data corresponding to the digital model; The association unit is used to associate the dynamic result data based on the model association among all digital models to obtain the dynamic process of teaching information management.

[0011] Preferably, the association unit includes: An attribute marking unit is used to obtain a process digital model from all digital models, traverse the model structure of the process digital model based on the model attributes of other digital models, obtain structure positions related to the model attributes, and perform attribute marking on the structure positions based on the model attributes to obtain an attribute marking result of the model structure; An embedding unit, configured to embed dynamic result data of other digital models into the process digital model based on the attribute labeling result, to obtain process impact data; The embedding unit is further configured to embed the dynamic result data of other digital models into the dynamic result data of the process digital model based on the association between the data attributes in the dynamic result data of the process digital model and the data attributes of the dynamic result data of other digital models to obtain result impact data; a correction unit, configured to obtain comprehensive influence data between other digital models, correct the process influence data based on the comprehensive influence data to obtain target process influence data, and correct the result influence data based on the comprehensive influence data to obtain target result influence data; The data enrichment unit is used to enrich the dynamic result data of the process digital model based on the target process impact data and the target result impact data to obtain the dynamic process of teaching information management.

[0012] Preferably, the data management module includes: A data acquisition unit is used to obtain a data acquisition target from management requirements, obtain a target data extraction method from a preset data extraction method library, and obtain relevant data from the teaching information management dynamic process according to the target data extraction method; The management unit is used to obtain a management plan for relevant data, manage the relevant data based on the management plan, and start the early warning module when it is determined that the relevant data is greater than a threshold in the management plan.

[0013] A management method for a teaching information management system, comprising: S1: Based on the functional requirements of teaching information management, determine the functional characteristics and establish a rule engine based on the functional characteristics; S2: Based on the rule engine and combined with the teaching information management process, a digital model is established; S3: Uploading data parameters related to the digital model, running the digital model based on the data parameters, and obtaining a dynamic process for teaching information management; S4: Based on management needs, relevant data is obtained from the teaching information management dynamic process, and the relevant data is managed according to the corresponding management plan.

[0014] Preferably, in S1, based on the teaching information management function requirements, functional features are determined, and based on the functional features, a rule engine is established, including: Based on the category characteristics of the engine units, unique numbers are created for all engine units and an engine unit table is obtained; Based on the functional units, the functional characteristics are split to obtain functional unit characteristics that satisfy the functional units, and a number sequence that realizes the functional unit characteristics is obtained from the engine unit table; Combining the engine units based on the numbering sequence, determining a basic data structure of the rule according to the combination result, and determining a correspondence between the basic data structure of the rule and the numbering sequence; Based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, the basic data structure of the rule is divided to obtain multiple category rule groups, and a rule list is established based on the category rule groups; According to the rule list, the rules are added to the engine in order to obtain an initial rule engine; Based on the teaching information management function requirements, historical teaching data is collected to create test data that satisfies the initial rule engine, and the initial rule engine is tested based on the test data to obtain test results; Based on the test results, the initial rule engine is adjusted to obtain the final rule engine.

[0015] Compared with the prior art, the present invention has achieved the following beneficial effects: By determining the functional characteristics based on the functional requirements of teaching information management, establishing a rule engine based on the functional characteristics, establishing a digital model based on the rule engine and combining it with the teaching information management process, uploading data parameters related to the digital model, running the digital model based on the data parameters, and obtaining the dynamic process of teaching information management, based on management needs, obtaining relevant data from the dynamic process of teaching information management, and managing the relevant data according to the corresponding management plan, achieving standard management and comprehensive management of teaching information, and better realizing the informatization of education management.

[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a structural diagram of a teaching information management system in an embodiment of the present invention; Figure 2 1 is a structural diagram of the early warning module in an embodiment of the present invention; Figure 3 This is a flow chart of a teaching information management method according to an embodiment of the present invention; Figure 4 This is a display diagram of a digital model in an embodiment of the present invention; Figure 5 This is an example diagram of a course management display in an embodiment of the present invention; Figure 6 Another example diagram of course management display in an embodiment of the present invention; Figure 7 A diagram showing model status parameters of a digital model running in an embodiment of the present invention; Figure 8 This is a diagram showing the display interface of the digital model operation results in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] Example 1 The embodiment of the present invention provides a teaching information management system, such as Figure 1 Shown, including: A rule building module is used to determine functional features based on the requirements of teaching information management functions, and to build a rule engine based on the functional features; Model building module, used to build digital models based on rule engines and combined with teaching information management processes; A data communication module is used to upload data parameters related to the digital model, run the digital model based on the data parameters, and obtain a dynamic process for teaching information management; The data management module is used to obtain relevant data from the teaching information management dynamic process based on management needs, and manage the relevant data according to the corresponding management plan.

[0021] In this embodiment, the teaching information management function requirements include, for example, student information management, student homework management, student online examination management and other functions.

[0022] In this embodiment, Figure 4 As shown, the digital model includes a process digital model, a material digital model, an equipment digital model, a product digital model, a process digital model, an environment digital model and a personnel digital model.

[0023] In this embodiment, Figure 5 As shown in the figure, an example of the dynamic process of teaching information management is obtained based on the model, which is a course management display diagram.

[0024] In this embodiment, Figure 6 As shown, an example of the dynamic process of teaching information management is obtained based on the model establishment, which is a test question management display diagram. In this embodiment, the dynamic process of teaching information management is dynamically managed according to the real-time changes of data parameters.

[0025] The beneficial effects of the above design scheme are: by determining functional characteristics based on the functional requirements of teaching information management, establishing a rule engine based on the functional characteristics, establishing a digital model based on the rule engine and combining it with the teaching information management process, uploading data parameters related to the digital model, running the digital model based on the data parameters, and obtaining a dynamic process of teaching information management. Based on management needs, relevant data is obtained from the dynamic process of teaching information management, and the relevant data is managed according to the corresponding management plan, thereby achieving standard management and comprehensive management of teaching information and better realizing the informatization of education management.

[0026] Example 2 Based on Example 1, the present invention provides a teaching information management system, such as Figure 2As shown, it also includes an early warning module for obtaining the management data under the management plan and issuing early warning reminders based on the management data; The early warning module includes: An acquisition unit, configured to acquire management data under the management scheme and obtain a standard data management threshold corresponding to the digital model; A judging unit, configured to judge whether the management data exceeds a standard data management threshold; If so, determine that the teaching information management data is abnormal and issue an early warning reminder; Otherwise, make sure that the teaching information management data is normal.

[0027] The beneficial effects of the above design scheme are: by obtaining the management data under the management scheme and issuing early warning reminders based on the management data, timely warnings can be issued when management problems occur, thereby ensuring the efficiency and timeliness of information management.

[0028] Example 3 Based on Example 1, this embodiment of the present invention provides a teaching information management system, wherein the rule establishment module includes: A numbering unit is used to create unique numbers for all engine units based on the category characteristics of the engine units and obtain an engine unit table; A splitting unit, configured to split the functional characteristics based on the functional units, obtain functional unit characteristics that satisfy the functional units, and obtain a number sequence that implements the functional unit characteristics from the engine unit table; a combining unit, configured to combine the engine units based on the numbering sequence, determine the basic data structure of the rule according to the combination result, and determine the correspondence between the basic data structure of the rule and the numbering sequence; An establishment unit is used to divide the basic data structure of the rule based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, to obtain multiple category rule groups, and establish a rule list based on the category rule groups; An adding unit, configured to add rules to the engine in order according to the rule list to obtain an initial rule engine; A testing unit, configured to collect historical teaching data based on teaching information management function requirements, create test data that satisfies the initial rule engine, test the initial rule engine based on the test data, and obtain a test result; The adjustment unit is used to adjust the initial rule engine based on the test results to obtain the final rule engine.

[0029] In this embodiment, the number sequence for realizing the functional unit characteristics obtained in the engine unit table is specifically a combination of multiple engine units realizing the functional unit characteristics.

[0030] In this embodiment, the purpose of establishing the engine unit table is to facilitate querying and retrieving the engine units.

[0031] In this embodiment, the purpose of establishing the rule list is to facilitate querying and calling the rules.

[0032] The beneficial effects of the above-mentioned scheme are: by establishing unique numbers for all engine units based on the category characteristics of the engine units and obtaining an engine unit table, based on the functional units, the functional characteristics are split to obtain functional unit characteristics that meet the functional units, and the numbering sequence that implements the functional unit characteristics is obtained from the engine unit table, the engine units are combined based on the numbering sequence, the basic data structure of the rules is determined according to the combination result, and the correspondence between the basic data structure of the rules and the numbering sequence is determined, based on the correspondence between the basic data structure of the rules and the numbering sequence, combined with the category characteristics of the engine units, the basic data structure of the rules is divided to obtain multiple category rule groups, and based on the category rule groups, a rule list is established, according to the rule list, the rules are added to the engine in sequence to obtain an initial rule engine, based on the teaching information management function requirements, historical teaching data is collected, test data that meets the initial rule engine is created, the initial rule engine is tested based on the test data to obtain test results, based on the test results, the initial rule engine is adjusted to obtain the final rule engine, providing a functional basis for the customization and implementation of subsequent management standards and specifications.

[0033] Example 4 Based on Example 3, this embodiment of the present invention provides a teaching information management system, wherein the adjustment unit includes: The operation analysis unit is used to obtain the operation correctness and operation smoothness of the initial rule engine from the test results; The first adjustment unit is configured to reorder the number sequence when the running smoothness of the initial rule engine does not meet the requirements, and obtain a final rule engine based on the latest ordering result; The second adjustment unit is used to reselect the numbering sequence when the running correctness of the initial rule engine does not meet the requirements, and obtain the final rule engine based on the latest selection result.

[0034] Example 5 Based on Example 1, this embodiment of the present invention provides a teaching information management system, wherein the model building module includes: An information determination unit, for determining established model attributes and construction features based on a teaching information management process; The model building unit is used to build the model based on the model attributes and construction features using the rule engine to obtain a digital model.

[0035] In this embodiment, the model state parameters of the digital model operation are displayed as follows: Figure 7 .

[0036] In this embodiment, the display interface of the digital model operation result is as follows: Figure 8 .

[0037] The beneficial effects of the above design scheme are: based on the teaching information management process, the model attributes and construction features are determined, and based on the model attributes and construction features, the model is established using the rule engine to obtain a digital model, providing a basis for realizing the various functions of the teaching information management system.

[0038] Example 6 Based on Example 1, this embodiment of the present invention provides a teaching information management system, wherein the data communication module includes: The standardization unit is used to obtain all data generated in the teaching information management system, standardize all data based on the data standard of the digital model, and obtain standard data; an extraction unit, configured to obtain target data related to the digital model from the standard data based on the management characteristics of the digital model, and extract data parameters from the target data; An operating unit, configured to operate the digital model based on the data parameters to obtain dynamic result data corresponding to the digital model; The association unit is used to associate the dynamic result data based on the model association among all digital models to obtain the dynamic process of teaching information management.

[0039] In this embodiment, the dynamic process of teaching information management allows administrators to comprehensively manage the course system and experimental content in the platform. The functions provided include: Create, modify, and delete courses, and specify learning directions and tags for courses; Create, modify, and delete experiments, specify the corresponding course, bound virtual machine image, and upload the corresponding experiment guide.

[0040] The beneficial effects of the above design scheme are: through the management characteristics of the digital model, the target data related to the digital model is obtained from the standard data, and the data parameters are extracted from the target data. The digital model is run based on the data parameters to obtain the dynamic result data corresponding to the digital model. Based on the model association between all digital models, the dynamic result data is associated to obtain the dynamic process of teaching information management, realize the dynamic management of teaching information, and provide standards and specifications for teaching management.

[0041] Example 7 Based on Example 6, this embodiment of the present invention provides a teaching information management system, wherein the association unit includes: An attribute marking unit is used to obtain a process digital model from all digital models, traverse the model structure of the process digital model based on the model attributes of other digital models, obtain structure positions related to the model attributes, and perform attribute marking on the structure positions based on the model attributes to obtain an attribute marking result of the model structure; An embedding unit, configured to embed dynamic result data of other digital models into the process digital model based on the attribute labeling result, to obtain process impact data; The embedding unit is further configured to embed the dynamic result data of other digital models into the dynamic result data of the process digital model based on the association between the data attributes in the dynamic result data of the process digital model and the data attributes of the dynamic result data of other digital models to obtain result impact data; a correction unit, configured to obtain comprehensive influence data between other digital models, correct the process influence data based on the comprehensive influence data to obtain target process influence data, and correct the result influence data based on the comprehensive influence data to obtain target result influence data; The data enrichment unit is used to enrich the dynamic result data of the process digital model based on the target process impact data and the target result impact data to obtain the dynamic process of teaching information management.

[0042] In this embodiment, the model attributes are, for example, products, equipment, personnel, etc.

[0043] In this embodiment, the process impact data is data that affects the operation process of the process digital model, and the result impact data is data that affects the operation result of the process digital model.

[0044] In this embodiment, the method of obtaining comprehensive impact data between other digital models is the same as the method of obtaining impact data of the process digital model.

[0045] In this embodiment, the dynamic result data of the process digital model is enriched. For example, if a student is evaluated as "excellent", the data features of the "excellent" evaluation, such as classroom performance and grades, are specifically displayed.

[0046] The beneficial effects of the above design scheme are: by taking the process digital model as the main body, the result data of other digital models are embedded in the process digital model, and finally the dynamic result data of the process digital model is enriched to obtain the dynamic process of teaching information management, thereby ensuring the comprehensiveness and accuracy of the obtained dynamic process of teaching information management, realizing standard management and comprehensive management of teaching information, and better realizing the informatization of education management.

[0047] Example 8 Based on Example 1, this embodiment of the present invention provides a teaching information management system, wherein the data management module includes: A data acquisition unit is used to obtain a data acquisition target from management requirements, obtain a target data extraction method from a preset data extraction method library, and obtain relevant data from the teaching information management dynamic process according to the target data extraction method; The management unit is used to obtain a management plan for relevant data, manage the relevant data based on the management plan, and start the early warning module when it is determined that the relevant data is greater than a threshold in the management plan.

[0048] The beneficial effects of the above design scheme are: by obtaining data acquisition targets from management needs, and obtaining target data extraction methods from a preset data extraction method library, obtaining relevant data from the teaching information management dynamic process according to the target data extraction method, obtaining a management plan for the relevant data, and managing the relevant data based on the management plan. When it is determined that the relevant data is greater than the threshold in the management plan, the early warning module is activated to achieve standard management and comprehensive management of teaching information, thereby better realizing the informatization of education management.

[0049] Example 9 Based on Example 1, the present invention provides a management method for a teaching information management system, such as Figure 3 Shown, including: S1: Based on the functional requirements of teaching information management, determine the functional characteristics and establish a rule engine based on the functional characteristics; S2: Based on the rule engine and combined with the teaching information management process, a digital model is established; S3: Uploading data parameters related to the digital model, running the digital model based on the data parameters, and obtaining a dynamic process for teaching information management; S4: Based on management needs, relevant data is obtained from the teaching information management dynamic process, and the relevant data is managed according to the corresponding management plan.

[0050] In this embodiment, the teaching information management function requirements include, for example, student information management, student homework management, student online examination management and other functions.

[0051] In this embodiment, the digital model includes a process digital model, a material digital model, an equipment digital model, a product digital model, a process digital model, an environment digital model and a personnel digital model.

[0052] In this embodiment, the dynamic process of teaching information management is dynamically managed according to real-time changes in data parameters.

[0053] The beneficial effects of the above design scheme are: by determining functional characteristics based on the functional requirements of teaching information management, establishing a rule engine based on the functional characteristics, establishing a digital model based on the rule engine and combining it with the teaching information management process, uploading data parameters related to the digital model, running the digital model based on the data parameters, and obtaining a dynamic process of teaching information management. Based on management needs, relevant data is obtained from the dynamic process of teaching information management, and the relevant data is managed according to the corresponding management plan, thereby achieving standard management and comprehensive management of teaching information and better realizing the informatization of education management.

[0054] Example 10 Based on Example 1, this embodiment of the present invention provides a teaching information management method. In S1, based on the teaching information management function requirements, functional features are determined, and based on the functional features, a rule engine is established, including: Based on the category characteristics of the engine units, unique numbers are created for all engine units and an engine unit table is obtained; Based on the functional units, the functional characteristics are split to obtain functional unit characteristics that satisfy the functional units, and a number sequence that realizes the functional unit characteristics is obtained from the engine unit table; Combining the engine units based on the numbering sequence, determining a basic data structure of the rule according to the combination result, and determining a correspondence between the basic data structure of the rule and the numbering sequence; Based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, the basic data structure of the rule is divided to obtain multiple category rule groups, and a rule list is established based on the category rule groups; According to the rule list, the rules are added to the engine in order to obtain an initial rule engine; Based on the teaching information management function requirements, historical teaching data is collected to create test data that satisfies the initial rule engine, and the initial rule engine is tested based on the test data to obtain test results; Based on the test results, the initial rule engine is adjusted to obtain the final rule engine.

[0055] In this embodiment, the number sequence for realizing the functional unit characteristics obtained in the engine unit table is specifically a combination of multiple engine units realizing the functional unit characteristics.

[0056] In this embodiment, the purpose of establishing the engine unit table is to facilitate querying and retrieving the engine units.

[0057] In this embodiment, the purpose of establishing the rule list is to facilitate querying and calling the rules.

[0058] The beneficial effects of the above-mentioned scheme are: by establishing unique numbers for all engine units based on the category characteristics of the engine units and obtaining an engine unit table, based on the functional units, the functional characteristics are split to obtain functional unit characteristics that meet the functional units, and the numbering sequence that implements the functional unit characteristics is obtained from the engine unit table, the engine units are combined based on the numbering sequence, the basic data structure of the rules is determined according to the combination result, and the correspondence between the basic data structure of the rules and the numbering sequence is determined, based on the correspondence between the basic data structure of the rules and the numbering sequence, combined with the category characteristics of the engine units, the basic data structure of the rules is divided to obtain multiple category rule groups, and based on the category rule groups, a rule list is established, according to the rule list, the rules are added to the engine in sequence to obtain an initial rule engine, based on the teaching information management function requirements, historical teaching data is collected, test data that meets the initial rule engine is created, the initial rule engine is tested based on the test data to obtain test results, based on the test results, the initial rule engine is adjusted to obtain the final rule engine, providing a functional basis for the customization and implementation of subsequent management standards and specifications.

[0059] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of this application document and its equivalents, the present invention is intended to include these modifications and variations.

Claims

1. A teaching information management system, characterized in that: include: A rule building module is used to determine the functional characteristics based on the teaching information management functional requirements, and to build a rule engine based on the functional characteristics; Model building module, used to build digital models based on rule engines and combined with teaching information management processes; A data communication module, used to upload data parameters related to the digital model, run the digital model based on the data parameters, and obtain a dynamic process of teaching information management; The data management module is used to obtain relevant data from the teaching information management dynamic process based on management needs, and manage the relevant data according to the corresponding management plan.

2. A teaching information management system according to claim 1, characterized in that: It also includes an early warning module, which is used to obtain the management data under the management plan and issue early warning reminders based on the management data; The early warning module comprises: An acquisition unit, used to acquire the management data status under the management scheme, and acquire the standard data management threshold corresponding to the digital model; A judging unit, used to judge whether the management data situation exceeds a standard data management threshold; If so, determine that the teaching information management data is abnormal and issue an early warning reminder; Otherwise, it is determined that the teaching information management data is normal.

3. A teaching information management system according to claim 1, characterized in that: The rule establishment module comprises: A numbering unit is used to establish unique numbers for all engine units based on the category characteristics of the engine units and obtain an engine unit table; A splitting unit, used to split the functional characteristics based on the functional units, obtain the functional unit characteristics that meet the functional units, and obtain the number sequence that realizes the functional unit characteristics from the engine unit table; A combining unit, used for combining the engine units based on the numbering sequence, determining the basic data structure of the rule according to the combination result, and determining the corresponding relationship between the basic data structure of the rule and the numbering sequence; An establishing unit is used to divide the basic data structure of the rule based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, to obtain multiple category rule groups, and to establish a rule list based on the category rule groups; An adding unit, used to add the rules to the engine in order according to the rule list to obtain an initial rule engine; A testing unit, which is used to collect historical teaching data based on the teaching information management function requirements, create test data that satisfies the initial rule engine, test the initial rule engine based on the test data, and obtain a test result; The adjustment unit is used to adjust the initial rule engine based on the test result to obtain the final rule engine.

4. A teaching information management system according to claim 3, characterized in that: The adjustment unit comprises: The operation analysis unit is used to obtain the operation correctness and operation smoothness of the initial rule engine from the test results; A first adjustment unit is used to re-sort the number sequence when the running smoothness of the initial rule engine does not meet the requirements, and obtain a final rule engine based on the latest sorting result; The second adjustment unit is used to reselect the numbering sequence when the running correctness of the initial rule engine does not meet the requirements, and obtain the final rule engine based on the latest selection result.

5. A teaching information management system according to claim 1, characterized in that: The model building module comprises: An information determination unit, for determining established model attributes and construction features based on a teaching information management process; The model building unit is used to build the model based on the model attributes and construction features using the rule engine to obtain a digital model.

6. A teaching information management system according to claim 1, characterized in that: The data communication module comprises: The standardization unit is used to obtain all data generated in the teaching information management system, standardize all data based on the data standard of the digital model, and obtain standard data; An extraction unit, for acquiring target data related to the digital model from the standard data based on the management characteristics of the digital model, and extracting data parameters from the target data; An operation unit, used for operating the digital model based on the data parameters to obtain dynamic result data corresponding to the digital model; The association unit is used to associate the dynamic result data based on the model association among all digital models to obtain the dynamic process of teaching information management.

7. A teaching information management system according to claim 6, characterized in that: The association unit comprises: An attribute marking unit is used to obtain a process digital model from all digital models, traverse the model structure of the process digital model based on the model attributes of other digital models, obtain the structure position related to the model attribute, and perform attribute marking on the structure position based on the model attribute to obtain the attribute marking result of the model structure; An embedding unit, used to embed the dynamic result data of other digital models into the process digital model based on the attribute marking result to obtain process impact data; The embedding unit is further used to embed the dynamic result data of other digital models into the dynamic result data of the process digital model based on the association between the data attributes in the dynamic result data of the process digital model and the data attributes of the dynamic result data of other digital models to obtain the result impact data; A correction unit, used for obtaining comprehensive influence data between other digital models, correcting the process influence data based on the comprehensive influence data to obtain target process influence data, and correcting the result influence data based on the comprehensive influence data to obtain target result influence data; The data enrichment unit is used to enrich the dynamic result data of the process digital model based on the target process impact data and the target result impact data to obtain the dynamic process of teaching information management.

8. A teaching information management system according to claim 1, characterized in that: The data management module comprises: A data acquisition unit, used to acquire a data acquisition target from management requirements, and acquire a target data extraction method from a preset data extraction method library, and acquire relevant data from a teaching information management dynamic process according to the target data extraction method; The management unit is used to obtain a management plan for the relevant data, manage the relevant data based on the management plan, and start the early warning module when it is determined that the relevant data is greater than a threshold in the management plan.

9. A teaching information management method, used in the management system as claimed in claim 1, characterized in that: include: S1: Based on the functional requirements of teaching information management, determine the functional characteristics, and establish a rule engine based on the functional characteristics; S2: Based on the rule engine and combined with the teaching information management process, a digital model is established; S3: Upload data parameters related to the digital model, run the digital model based on the data parameters, and obtain a dynamic process of teaching information management; S4: Based on management needs, relevant data is obtained from the teaching information management dynamic process, and the relevant data is managed according to the corresponding management plan.

10. A teaching information management method according to claim 9, characterized in that: In S1, based on the teaching information management function requirements, the functional characteristics are determined, and based on the functional characteristics, a rule engine is established, including: Based on the category characteristics of the engine units, unique numbers are established for all engine units and an engine unit table is obtained; Based on the functional unit, the functional characteristics are split to obtain the functional unit characteristics that satisfy the functional unit, and the number sequence that realizes the functional unit characteristics is obtained from the engine unit table; Combining the engine units based on the numbering sequence, determining the basic data structure of the rule according to the combination result, and determining the corresponding relationship between the basic data structure of the rule and the numbering sequence; Based on the correspondence between the basic data structure of the rule and the numbering sequence, combined with the category characteristics of the engine unit, the basic data structure of the rule is divided to obtain multiple category rule groups, and a rule list is established based on the category rule groups; According to the rule list, the rules are added to the engine in order to obtain an initial rule engine; Based on the teaching information management function requirements, historical teaching data is collected to create test data that satisfies the initial rule engine, and the initial rule engine is tested based on the test data to obtain test results; Based on the test results, the initial rule engine is adjusted to obtain the final rule engine.

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