A Data Monitoring Method for Remote Teaching Management Based on Digital Twins

By generating a digital twin blueprint for teaching supervision and instantiating configuration packages, the problem of inconsistent monitoring standards in remote teaching management data monitoring was solved, a unified and verifiable monitoring process was achieved, and data integrity and audit availability were improved.

CN122492404APending Publication Date: 2026-07-31JIANGSU XUHE EDUCATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU XUHE EDUCATION TECH CO LTD
Filing Date
2026-03-26
Publication Date
2026-07-31

AI Technical Summary

Technical Problem

Existing remote teaching management data monitoring solutions struggle to establish a unified and verifiable monitoring input, resulting in a lack of traceable mapping between management rules and actual data. This leads to high costs for problem identification and responsibility definition, and limited comparability of cross-class indicators and audit availability.

Method used

By generating a digital twin blueprint for education and supervision, instantiating the configuration package of the education and supervision twin instance, and driving the management credentials to perform consistency verification on the remote monitoring terminal, a deviation package is generated, and the running status of the education and supervision twin is output, thus realizing closed-loop monitoring of deviation handling and escalation paths.

Benefits of technology

It has achieved unified standards and verifiable monitoring in the teaching management process, improved the comparability, auditability and data integrity under cross-network fluctuation scenarios, and formed a closed-loop monitoring process of "discovery-handling-review-recording".

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Abstract

This invention discloses a remote teaching management data monitoring method based on digital twins, relating to the field of digital twins. The method includes: at the remote monitoring end, generating a teaching supervision digital twin blueprint by pre-setting a remote teaching management link chain; obtaining a teaching supervision twin instance configuration package by instantiating the teaching supervision digital twin blueprint; at the on-site teaching end, generating management vouchers according to the teaching management cycle and uploading the management vouchers to the remote monitoring end; using the management vouchers to drive the teaching supervision digital twin blueprint at the remote monitoring end, outputting the teaching supervision twin's operational status; and updating the teaching supervision twin's operational status by executing handling actions at the remote monitoring end based on deviation packets. This invention solidifies the teaching management link chain and management clause list into a teaching supervision digital twin blueprint and instantiates and distributes the configuration package, making the start conditions, management outputs, and achievement criteria of each link form a unified and executable management approach.
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Description

Technical Field

[0001] This invention relates to the field of digital twins, and in particular to a remote teaching management data monitoring method based on digital twins. Background Technology

[0002] Remote teaching management data monitoring technology has been continuously evolving along with the development of online education platforms and teaching management systems: from LMS data collection centered on course scheduling, attendance, homework and test records, it has gradually expanded to the aggregation of multi-source data combining live / recorded broadcasts, learning behavior trajectories and terminal operating status, and realizes process monitoring and teaching quality assessment through event streams, rule engines and visualization dashboards; at the same time, the traceability mechanism for compliance and auditing has also gradually moved from simple logs to structured evidence and chain evidence storage.

[0003] However, existing solutions often rely on scattered logs, platform events, or manual spot checks as monitoring inputs, resulting in difficulties in unifying monitoring standards, insufficient verifiability of evidence, and a lack of traceable mapping between management rules and actual data. This further manifests as the difficulty in forming a unified and verifiable monitoring input and achieving consistency verification of management clauses and closed-loop handling of deviations, leading to high costs for problem identification and responsibility definition, and limited comparability of cross-class indicators and audit availability. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a remote teaching management data monitoring method based on digital twins to solve the problem of difficulty in forming a unified and verifiable monitoring input.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a remote teaching management data monitoring method based on digital twins, comprising, Based on the remote teaching management chain preset at the remote monitoring terminal, a digital twin blueprint for teaching supervision is generated. The teaching supervision twin instance configuration package is obtained by instantiating the teaching supervision digital twin blueprint and then distributed to the on-site teaching terminal. The on-site teaching terminal receives the configuration package of the teaching supervision twin instance and establishes a teaching management cycle. The on-site teaching terminal generates management vouchers according to the teaching management cycle and uploads the management vouchers to the remote monitoring terminal. Using management credentials, the digital twin blueprint of the teaching and monitoring system is driven at the remote monitoring terminal. The management credentials are then used to perform consistency verification, generate deviation packages, and output the running status of the teaching and monitoring twin. Based on the deviation packet, offset processing is performed at the remote monitoring end, and the operational status of the teaching and monitoring twin is updated.

[0007] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the remote teaching management process chain is preset, and the specific steps are as follows: The remote monitoring terminal summarizes teaching management matters related to remote teaching management; Based on the chronological order of teaching management matters on the timeline, the prerequisite dependencies between teaching management matters are used as connection rules to link teaching management matters one by one, forming a chain of remote teaching management links.

[0008] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the aforementioned prerequisite refers to breaking down each teaching management item into a starting condition, a management action, and a management output, with the management output of the previous teaching management item serving as the starting condition for the next teaching management item.

[0009] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps for generating the digital twin blueprint for teaching supervision are as follows: Read the text list of the remote teaching management link chain at the remote monitoring terminal and write the text list into a blank management terms list; Based on the attribution of responsibility and scope of influence in the remote teaching management chain, determine the appropriate actions and escalation paths; Each management clause in the management clause list is associated with a corresponding action and escalation path; Based on the binding relationship between the action and the management terms, generate role routing rules for transmitting the action and escalation path to the remote teaching management chain; The remote teaching management process chain, management terms and conditions list, handling actions, upgrade paths, and role routing rules are written into the corresponding positions of the teaching supervisor digital twin blueprint, and a virtual-real correspondence is established to complete the construction of the teaching supervisor digital twin blueprint.

[0010] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps for instantiating the teaching monitoring digital twin blueprint are as follows: Define course instance identifiers and operational scope, and write them into the teaching supervision digital twin blueprint; The remote teaching management process is mapped to each item in the management terms list within the operational scope and then encapsulated to obtain the teaching supervisor twin instance configuration package.

[0011] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps for generating management vouchers according to the teaching management cycle are as follows: Create a cycle context at the start of the teaching management cycle; Accumulate and update the required fields of management credentials through the cycle context; Based on the field structure and field order of the management vouchers in the configuration package of the teaching supervisor twin instance, the required fields of the management vouchers accumulated in the periodic context are solidified into management vouchers, and a generation timestamp is written for the management vouchers.

[0012] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps of using management credentials to drive the teaching supervisor's digital twin blueprint at the remote monitoring terminal are as follows: Based on the generation timestamp of the management voucher, the management vouchers are sorted and used as classroom instance-driven queues to input into the teaching supervisor's digital twin blueprint. Based on the type of management voucher, match the implementation rules of each management link in the digital twin blueprint of the education and supervision department, and promote each management link.

[0013] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the management process advancement rule refers to the order in which each management process is performed in the remote teaching management process chain.

[0014] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps for performing management consistency verification on management credentials are as follows: Read the triggering events, expected receipts, and closed windows of each management clause in the digital twin blueprint of the education supervision system; locate the occurrence time of the triggering events in the evidence chain ledger of the digital twin blueprint of the education supervision system; and search the evidence chain ledger to see if there are expected receipts within the closed windows. If a receipt for delivery is available and the management clause number matches the step position, the management clause is considered closed. If there is no acknowledgement receipt, or if the management clause number, stage location, and acknowledgement receipt are inconsistent with those of the acknowledgement receipt, then the management clause is deemed to have deviated.

[0015] As a preferred embodiment of the remote teaching management data monitoring method based on digital twins described in this invention, the specific steps for updating the operational status of the teaching monitoring twin are as follows: Read the management clause number, link location, scope of impact, evidence chain ledger index and disposal action from the deviation package, execute the disposal action on the management link corresponding to the management clause, and generate the disposal result; Based on the management clause number and the management clause status corresponding to the step position in the deviation package, the consistency of the management clause is re-verified. If a deviation is determined, an upgrade path is triggered. If a closure is determined, subsequent management steps with deviations are processed. The results of all actions and escalation paths in the deviation package are used as receipts and written back to the evidence chain ledger to update the operational status of the education and supervision twin.

[0016] The beneficial effects of this invention are as follows: At the remote monitoring end, the teaching management process chain and management clause list are solidified into a digital twin blueprint for teaching supervision, and a configuration package is instantiated and distributed, so that the start conditions, management outputs, and compliance criteria of each process form a unified and executable governance approach. Furthermore, by using management credentials to drive the twin's operational state and perform consistency checks, a deviation package carrying the management clause number, process location, scope of impact, and ledger index can be generated when a deviation occurs, achieving near real-time positioning and interpretable conclusion output. The deviation package then drives the handling actions and escalation paths to generate receipts and write them back to the ledger, thus forming a closed-loop monitoring system of "discovery—handling—review—traceability," improving the comparability, auditability, and data integrity under cross-network fluctuation scenarios. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a remote teaching management data monitoring method based on digital twins.

[0019] Figure 2 This is a flowchart for pre-setting the remote teaching management process chain.

[0020] Figure 3 A flowchart for generating a digital twin blueprint for education supervision.

[0021] Figure 4 The flowchart for performing consistency verification. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides a remote teaching management data monitoring method based on digital twins, including the following steps: S1. At the remote monitoring end, a digital twin blueprint for teaching supervision is generated by pre-setting the remote teaching management link chain. The teaching supervision digital twin blueprint is instantiated to obtain the teaching supervision twin instance configuration package, which is then sent to the on-site teaching end.

[0026] All teaching management matters related to remote teaching management, such as class scheduling and learning progress, are aggregated at the remote monitoring terminal. According to the chronological order of the teaching management matters on the timeline, the dependency chaining method is used to connect the pre-dependencies between teaching management matters as connection rules. Each teaching management matter is broken down into initiation conditions, management actions, and management outputs. The management output of the previous teaching management matter is used as the initiation condition of the next teaching management matter. The teaching management matters are linked one by one to form a remote teaching management link chain, such as "class scheduling release - class opening confirmation - learning progress window - teaching practice window - test / assessment window - recording archive - grade archive - supervision review".

[0027] The remote monitoring terminal reads the text list of the remote teaching management link chain and writes the "course scheduling release, course opening confirmation, learning progress window, teaching practice window, test / assessment window, recording archive, grade archive, and supervision review" from the text list into a blank management clause list. The management clause list includes progress achievement clauses, teaching achievement clauses, assessment achievement clauses, terminal stability clauses, and archiving and record keeping clauses. Specifically, the text list of the remote teaching management link chain is read, and clause entries are created for each management item in the text list. The clause entries use the link name as a unique primary key to ensure name consistency. For each clause entry, a management result field, an evidence field, and a trigger field are added. The management result field is a statement that can be judged based on the conditions achieved in the management link. The evidence field is the voucher or record keeping evidence required for the management output. The trigger field is the entry point for the action to be triggered when the management output does not meet the completion conditions (such as teaching completion time / proportion, etc.). Using the sequential mapping method, according to the established order of the management links in the remote teaching management link chain, the clause entries of each management link are written into the blank management clause list.

[0028] Furthermore, the progress achievement clauses specify the achievement conditions for the learning progress window, the teaching achievement clauses specify the achievement conditions for the teaching practice window, the assessment achievement clauses specify the achievement conditions for the test / assessment window, the terminal stability clauses specify the terminal stability requirements in the remote teaching management process, and the archiving and record keeping clauses specify the record keeping requirements for recording and archiving, grade archiving, and supervision review. Among these, achievement conditions mean completing the corresponding task and outputting completion certificates within the time limit. For example, the progress achievement clause means completing the teaching / learning progress and outputting teaching completion certificates within the time limit set by the school / educational institution.

[0029] The handling actions and escalation paths are determined by the responsibility and scope of influence of the management links in the remote teaching management chain. These include automatic remedial actions, instructor supervision actions, administrator operation and maintenance actions, and audit and archiving actions. When management terms deviate, the corresponding management link's handling action, i.e., the automatic remedial action, is triggered first. If the management terms are still not closed after the automatic remedial action is executed, the escalation path is in the order of responsibility hierarchy: "automatic remedial action → instructor supervision task → administrator operation and maintenance action → audit and archiving action".

[0030] For each management clause in the management clause list, a handling action and an escalation path are bound together. Specifically, each management clause and handling action in the management clause list are numbered, and an escalation path table is created and numbered for each management clause. The management clause number, handling action number, and escalation path table number are written into the management clause list to complete the binding. When a management clause deviates (i.e., the management output does not meet the completion conditions), a handling action is triggered. If the deviation is not closed after the handling action is executed, an escalation path is triggered.

[0031] It should be noted that the action and the escalation path are two different levels of configuration: the action addresses "what to do immediately", while the escalation path addresses "what to do if the target is still not met after completion". For example, if the action for the progress target clause is the instructor supervision action, then the escalation path is instructor supervision action → audit archiving action. This means that if the action for the progress target clause is ineffective or the risk is higher, the next step is to transfer it to the archiving and record keeping clause and trigger the audit archiving action.

[0032] The chain of steps, the list of management terms, the actions to be taken, the escalation path, and the role routing rules are used as the components of the digital twin blueprint for education supervision. Among them, the role routing rules are used to carry the routing rules between actions to be taken.

[0033] The remote teaching management process chain, management clause list, handling actions, escalation paths, and role routing rules are written into the corresponding positions in the digital twin blueprint of the teaching supervisor, and a virtual-physical correspondence is established. The specific steps are as follows: Each management step in the remote teaching management chain is written into the chain section of the teaching supervision digital twin blueprint, and a virtual-real correspondence is established. Specifically, the on-site teaching end uses management credentials as evidence input, and the remote monitoring end uses the status of the management steps in the chain as the presentation output. For example, when the remote monitoring end completes the course scheduling and release, the result of the course scheduling and release success receipt serve as evidence input for the teaching supervision digital twin blueprint. In the on-site teaching end's chain, the status of the course scheduling and release step is "completed". At the same time, each management step can only be updated based on management credentials, which include learning progress credentials, teaching completion credentials, assessment score credentials, terminal operation anomaly summary credentials, and handling receipt credentials.

[0034] The management terms list is written item by item in the management terms list section of the digital twin blueprint for teaching supervision. Each management term in the management terms list is configured and mapped to each management link in the remote teaching management link chain. For example, the progress achievement term is bound to the learning progress window, the teaching achievement term is bound to the teaching practice window, the assessment achievement term is bound to the test / assessment window, the terminal stability term is bound to any link in the course confirmation, learning progress window, teaching practice window, test / assessment window, recording archive, grade archive, and supervision review, and the archiving and traceability term is bound to the recording archive, grade archive, and supervision review, and the binding relationship is saved.

[0035] Write the corresponding management voucher for each management clause in the management terms list. At the same time, write the management voucher into the evidence chain ledger and write the correspondence between the management clauses and management vouchers into the management terms list section of the education supervision digital twin blueprint.

[0036] Write the corresponding handling actions and upgrade path tables for each management clause into the handling action and upgrade path sections of the education supervision digital twin blueprint, and at the same time write the binding relationship between the handling action and upgrade path tables into the handling action and upgrade path sections of the education supervision digital twin blueprint.

[0037] The role routing rules are written into the role routing rules section of the digital twin blueprint of the teaching supervisor. According to the role routing rules, different disposal actions are routed to the execution entry of the corresponding management link, generating management vouchers and writing back the evidence chain ledger. The role routing rules are the distribution rules for transmitting disposal actions and escalation paths to the corresponding remote teaching management link chain, based on the binding relationship between disposal action, management terms, and management link.

[0038] Set the course instance identifier and scope of operation. Specifically, the course instance identifier is a composite key that combines the course number and the course sequence number published in the scheduling. The scope of operation includes the start and end times of the remote course, the set of student IDs, the set of instructor IDs, and the set of terminal IDs (such as student terminal and instructor terminal).

[0039] By replacing placeholders with course instance identifiers and operational scopes in the digital twin blueprint of the teaching supervisor, the course instance identifiers and operational scopes are written into the teaching supervisor digital twin blueprint. By corresponding each item of the remote teaching management link chain within the operational scope and the management clause list, and by solidifying governance credentials, receipt requirements, evidence chain ledger index requirements, and deviation package generation conditions, the management clause list and handling actions are bound item by item, and role routing rules are written. The link chain, management clause list, handling actions, upgrade path, role routing rules, course instance identifiers, and operational scope are encapsulated to obtain the teaching supervisor twin instance configuration package, which is then distributed to the on-site teaching terminal.

[0040] By solidifying remote teaching management requirements (such as course confirmation, progress targets, demonstration targets, assessment targets, recording and archiving, and terminal stability) into an executable chain of steps and a list of management clauses, subsequent monitoring has a unified standard and clear boundaries, avoiding inconsistencies in goals and requirements between different classes or teachers. Each clause clearly corresponds to a verifiable management data item (number of class hours completed, number of demonstrations completed, grade receipts, archiving receipts, number of anomalies, etc.) as well as triggering time limits and handling paths, thereby improving the comparability and auditability of monitoring indicators from the source.

[0041] S2. The on-site teaching terminal receives the configuration package of the teaching supervision twin instance and establishes a teaching management cycle. The on-site teaching terminal generates management vouchers according to the teaching management cycle and uploads the management vouchers to the remote monitoring terminal.

[0042] On the on-site teaching end, the start and end times of the course are used as the teaching management cycle based on the operating scope in the teaching supervision twin instance configuration package.

[0043] Within the same teaching management cycle, the student ID, terminal ID, course instance ID, and cycle ID are used as indexes. A cycle context is created at the beginning of the teaching management cycle. During the teaching management cycle, the generated management vouchers are written into the cycle context. At the end of the teaching management cycle, a generation timestamp is written for each management voucher, and the cycle context is terminated.

[0044] The cycle context is the minimum set of states necessary to generate management credentials. It is used to continuously accumulate and update the key count / status fields required for management credentials within the teaching management cycle. For example, the learning progress credential represents the number of learning hours completed and the number of learning hours to be completed within the teaching management cycle. Based on the field structure and field order of the management credentials in the teaching supervisor twin instance configuration package, the key count / status fields required for management credentials accumulated in the cycle context are solidified into management credentials.

[0045] At the end of the teaching management cycle, the management voucher with the generated timestamp will be packaged and reported to the remote monitoring terminal.

[0046] By periodically summarizing and signing key management data in the form of "vouchers / receipts" at the lower level, and writing it into the evidence chain ledger after verification at the remote monitoring end, the monitoring input is transformed from "scattered logs or subjective feedback" into "verifiable management data evidence". The platform can reliably obtain structured results of management data such as learning progress, teaching completion, assessment results, and terminal anomalies, and can trace them back to the corresponding classroom instance and teaching management cycle. At the same time, it can still continuously supplement the monitoring data link in units of vouchers in the event of remote network fluctuations or offline retransmission.

[0047] S3. Use management credentials to drive the digital twin blueprint of the teaching and monitoring system on the remote monitoring terminal, perform consistency verification on the management credentials, generate deviation packets, and output the running status of the teaching and monitoring twin.

[0048] At the remote monitoring end, each management credential is mapped to the digital twin blueprint of the education and supervision system, which drives the digital twin blueprint and outputs the running status of the education and supervision twin. The specific steps are as follows. Based on the configuration package of the teaching supervisor twin instance, a classroom instance index is established in the teaching supervisor digital twin blueprint. The classroom instance index includes a process chain, a list of management terms and conditions, and a mapping table of display fields in the student area, teacher area, and administrator area.

[0049] The student area—instructor area—administrator area display field mapping table is a set of display fields that different management credentials need to write in the teaching and supervision twin's running state. It includes the student area display field set, the instructor area display field set, and the administrator area display field set. Each field set contains only the display items directly corresponding to the management credentials. For example, the student area display field set includes the learning progress display field and the handling receipt display field; the instructor area display field set includes the teaching progress display field, the assessment score display field, and the handling receipt display field; and the administrator area display field set includes the terminal stability display field and the handling receipt display field.

[0050] Based on the generation timestamp of the management voucher, the management vouchers are sorted and used as classroom instance-driven queues input into the teaching supervisor's digital twin blueprint. According to the type of management voucher, the management process is advanced by matching the management process advancement rules in the teaching supervisor's digital twin blueprint. The management process advancement rules are the order of execution of each management clause in the management clause list. For example, the course scheduling release voucher triggers the course start state, the teaching completion voucher triggers the teaching state, and the recording and archiving receipt triggers the archiving state, etc.

[0051] Each time a management step is advanced, a record of the change in the management step location in the teaching and supervision twin operation is saved, including the management step location, the triggered management credential identifier, and the trigger timestamp, thus obtaining the management step advancement record in the teaching and supervision twin operation.

[0052] The digital twin blueprint for education supervision reads the status of each management clause according to the list of management clauses (e.g., whether it has been approved), and reads the actual status of the management clauses from the management vouchers. It then compares and verifies each clause, outputs and summarizes the management clauses with deviations, the location of the deviation, the scope of the deviation, the evidence chain ledger index, and the handling actions, and outputs the deviation package.

[0053] Specifically, the system reads the triggering events, expected receipts, and closing windows of each management clause in the digital twin blueprint of the education supervision system. It locates the occurrence time of the triggering event in the evidence chain ledger and searches the evidence chain ledger to see if there is an expected receipt within the closing window. If there is an expected receipt and the management clause number matches the stage position, the management clause is determined to be closed. If there is no expected receipt, or the expected receipt does not match the management clause number / stage position, the management clause is determined to be deviated from its intended purpose.

[0054] According to the field mapping table of student area—teacher area—administrator area, the display fields of the management voucher are written one by one. Specifically, the learning progress voucher, teaching completion voucher, and assessment score voucher are written to the display field set of the student area and simultaneously written to the display field set of the teacher area. The terminal exception summary voucher is written to the display field of the administrator area, and the handling receipt voucher is written to the display field sets of the teacher area and the administrator area. In addition, the classroom instance index is used as the association key to write the current stage position in the display fields of student area—teacher area—administrator area, and shares the same classroom instance index with the stage progress record, thus completing the binding of the display fields of student area—teacher area—administrator area with the management stage progress record, and outputting the teaching and supervision twin running state.

[0055] By using management credentials to advance management processes at the remote monitoring end and verifying consistency against the management clause list, the system achieves "real-time / near real-time monitoring and positioning" of remote teaching management data. This means that it not only knows that a certain indicator has not been met, but also can locate the corresponding process and evidence. When the learning progress is below the threshold, the teaching is insufficient, the assessment is below the requirements, the archiving is missing, or the terminal exceeds the limit abnormally, the system outputs a deviation packet. The deviation packet carries the management clause number, the location of the process, the scope of impact, and the evidence chain ledger index, thereby bringing the monitoring results to an interpretable and traceable management data conclusion.

[0056] S4. Based on the deviation packet, perform offset processing at the remote monitoring end and update the teaching and monitoring twin's operating status.

[0057] The system reads the management clause number, stage location, scope of impact, evidence chain ledger index, and handling action from the deviation package, executes one handling action, and generates a handling result, including the handling action execution status and the handling result (the status of the management clause after execution). For example, in the learning progress window, when the corresponding management clause is "learning not met" or "teaching not met", the handling action is an automatic remedial action, which includes generating an instructor supervision task sheet and writing it into the instructor area prompt, as well as generating a mandatory supplementary task prompt for the student within the cycle. The handling result is shown as a record of successful generation of instructor supervision task sheet, a record of successful writing of instructor area prompt, a record of successful generation of mandatory supplementary task prompt, and records of learning and teaching met, or it may still be "learning not met" or "teaching not met".

[0058] Based on the management clause number and the status of the management clause corresponding to the step position in the deviation package, the consistency of the management clause is re-verified. If a deviation is determined, an upgrade path is triggered; otherwise, if a closure is determined, subsequent management steps with deviations are processed.

[0059] The results of all actions and upgrade paths in the deviation package are used as receipts and written back to the evidence chain ledger. The teaching and supervision twin's running status is updated by rewriting the management vouchers into the display fields of the student area - teacher area - administrator area.

[0060] By directly driving deterministic actions with monitoring results (deviation packages) and generating a logistic evidence chain ledger, monitoring extends from "discovering problems" to "verifying whether actions have occurred and been completed," forming a closed-loop process monitoring system.

[0061] This embodiment also provides a computer device applicable to the remote teaching management data monitoring method based on digital twins, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the remote teaching management data monitoring method based on digital twins as proposed in the above embodiment.

[0062] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0063] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements the remote teaching management data monitoring method based on digital twins as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0064] In summary, this invention achieves the following: First, it solidifies the teaching management process chain and management clause list into a digital twin blueprint for teaching supervision at the remote monitoring end, and instantiates and distributes configuration packages. This ensures that the activation conditions, management outputs, and compliance criteria for each process form a unified and executable governance framework. Second, it utilizes management credentials to drive the twin's operational state and perform consistency checks. When a deviation occurs, a deviation package is generated, carrying the management clause number, process location, scope of impact, and ledger index, achieving near real-time positioning and interpretable conclusion output. The deviation package then drives the handling actions and escalation paths to generate receipts and write them back to the ledger, thus forming a closed-loop monitoring system of "discovery—handling—review—record," improving the comparability, auditability, and data integrity across network fluctuation scenarios.

[0065] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A remote teaching management data monitoring method based on digital twinning, characterized by: include, Based on the remote teaching management chain preset at the remote monitoring terminal, a digital twin blueprint for teaching supervision is generated. The teaching supervision twin instance configuration package is obtained by instantiating the teaching supervision digital twin blueprint and then distributed to the on-site teaching terminal. The on-site teaching terminal receives the configuration package of the teaching supervision twin instance and establishes a teaching management cycle. The on-site teaching terminal generates management vouchers according to the teaching management cycle and uploads the management vouchers to the remote monitoring terminal. Using management credentials, the digital twin blueprint of the teaching and monitoring system is driven at the remote monitoring terminal. The management credentials are then used to perform consistency verification, generate deviation packages, and output the running status of the teaching and monitoring twin. Based on the deviation packet, offset processing is performed at the remote monitoring end, and the operational status of the teaching and monitoring twin is updated.

2. The digital-twin-based remote teaching management data monitoring method of claim 1, wherein: The pre-set remote teaching management process chain includes the following specific steps. The remote monitoring terminal summarizes teaching management matters related to remote teaching management; Based on the chronological order of teaching management matters on the timeline, the prerequisite dependencies between teaching management matters are used as connection rules to link teaching management matters one by one, forming a chain of remote teaching management links.

3. The digital-twin-based remote teaching management data monitoring method of claim 2, wherein: The aforementioned prerequisite dependency refers to breaking down each teaching management item into initiation conditions, management actions, and management outputs, with the management output of the previous teaching management item serving as the initiation condition for the next teaching management item.

4. The digital-twin-based remote teaching management data monitoring method of claim 1, wherein: The specific steps for generating the digital twin blueprint for the education supervisor are as follows: Read the text list of the remote teaching management link chain at the remote monitoring terminal and write the text list into a blank management terms list; Based on the attribution of responsibility and scope of influence in the remote teaching management chain, determine the appropriate actions and escalation paths; Each management clause in the management clause list is associated with a corresponding action and escalation path; Based on the binding relationship between the action and the management terms, generate role routing rules for transmitting the action and escalation path to the remote teaching management chain; The remote teaching management process chain, management terms and conditions list, handling actions, upgrade paths, and role routing rules are written into the corresponding positions of the teaching supervisor digital twin blueprint, and a virtual-real correspondence is established to complete the construction of the teaching supervisor digital twin blueprint.

5. The digital twin-based remote teaching management data monitoring method of claim 1, wherein: The specific steps for instantiating the digital twin blueprint of the education supervisor are as follows: Define course instance identifiers and operational scope, and write them into the teaching supervision digital twin blueprint; The remote teaching management process is mapped to each item in the management terms list within the operational scope and then encapsulated to obtain the teaching supervisor twin instance configuration package.

6. The digital-twin-based remote teaching management data monitoring method of claim 1, wherein: The specific steps for generating management vouchers based on the teaching management cycle are as follows: Create a cycle context at the start of the teaching management cycle; Accumulate and update the required fields of management credentials through the cycle context; Based on the field structure and field order of the management vouchers in the configuration package of the teaching supervisor twin instance, the required fields of the management vouchers accumulated in the periodic context are solidified into management vouchers, and a generation timestamp is written for the management vouchers.

7. The digital-twin-based remote teaching management data monitoring method of claim 1, wherein: The specific steps for using management credentials to drive the digital twin blueprint of the education supervisor at the remote monitoring terminal are as follows: Based on the generation timestamp of the management voucher, the management vouchers are sorted and used as classroom instance-driven queues to input into the teaching supervisor's digital twin blueprint. Based on the type of management voucher, match the implementation rules of each management link in the digital twin blueprint of the education and supervision department, and promote each management link.

8. The digital-twin-based remote teaching management data monitoring method of claim 7, wherein: The aforementioned management process advancement rules refer to the order in which each management step is performed within the remote teaching management process chain.

9. The digital-twin-based remote teaching management data monitoring method of claim 8, wherein: The specific steps for performing consistency verification on management vouchers are as follows. Read the triggering events, expected receipts, and closed windows of each management clause in the digital twin blueprint of the education supervision system; locate the occurrence time of the triggering events in the evidence chain ledger of the digital twin blueprint of the education supervision system; and search the evidence chain ledger to see if there are expected receipts within the closed windows. If a receipt for delivery is available and the management clause number matches the step position, the management clause is considered closed. If there is no acknowledgement receipt, or if the management clause number, stage location, and acknowledgement receipt are inconsistent with those of the acknowledgement receipt, then the management clause is deemed to have deviated.

10. The digital-twin-based remote teaching management data monitoring method of claim 9, wherein: The specific steps for updating the operational status of the teaching supervision twin are as follows. Read the management clause number, link location, scope of impact, evidence chain ledger index and disposal action from the deviation package, execute the disposal action on the management link corresponding to the management clause, and generate disposal result; Based on the management clause number and the management clause status corresponding to the step position in the deviation package, the consistency of the management clause is re-verified. If a deviation is determined, an upgrade path is triggered. If a closure is determined, subsequent management steps with deviations are processed. The results of all actions and escalation paths in the deviation package are used as receipts and written back to the evidence chain ledger to update the operational status of the education and supervision twin.