Computer network application based device remote control system and method

Abstract

The application discloses a computer network application-based device remote control system and method, and belongs to the cross field of computer network application and educational informatization technology.The system comprises a student client, an identity authentication module, a device state query module, an instruction forwarding module, a data flow synchronization module, an operation log recording module, a double-channel monitoring system and an intelligent scheduling center.The student client is used for sending a device operation request to the system and receiving data flow and video flow from the system.The identity authentication module is used for verifying the identity information and course access authority of students.The application can not only realize remote control of teaching devices, but also can realize efficient utilization of teaching resources, reliable tracing of a teaching process and accurate improvement of teaching effect through deep integration of identity authentication and learning review, construction of a double-channel monitoring system, introduction of intelligent scheduling and implementation of fine teaching evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of computer network application and educational informatization technology, in particular to a device remote control system and method based on computer network application. BACKGROUND

[0002] In current college teaching practice, experimental courses are the key link to cultivate students' practical ability and innovative spirit. However, the traditional laboratory teaching mode faces many challenges: first, the number of teaching equipment (such as high-end oscilloscopes, spectrum analyzers, experimental robots, etc.) is limited, and the price is expensive, which is difficult to realize one for each student, resulting in low equipment utilization and insufficient students' operation opportunities. Second, experimental teaching is limited by fixed time and physical space, students cannot conduct experiments in spare time or from remote locations, teaching form is rigid and flexibility is poor. Third, the monitoring and evaluation of students' experimental process mostly rely on teachers' subjective observation and post-reporting, lack of objective and comprehensive data support, and it is difficult to accurately evaluate and individually guide students' operation skills.

[0003] In the prior art, some device remote control schemes have appeared, but they are usually single-function, mostly only realizing simple instruction forwarding and video viewing, which cannot meet the deep needs of modern teaching management, and the identity verification is usually limited to account password verification, which cannot be combined with students' learning progress and review needs, and the security and teaching effect cannot be unified. Therefore, the technical personnel in this field provide a device remote control system and method based on computer network application to solve the problems raised in the above background technology. SUMMARY

[0004] The purpose of the present application is to provide a device remote control system and method based on computer network application, which not only realizes remote control of teaching equipment, but also realizes efficient utilization of teaching resources, reliable tracing of teaching process and accurate improvement of teaching effect by deeply integrating identity verification with learning review, building a double-channel monitoring system, introducing intelligent scheduling and implementing fine teaching evaluation, to solve the problems raised in the above background technology.

[0005] To achieve the above purpose, the present application provides the following technical solutions:

[0006] The application discloses a computer network application-based device remote control system, which is arranged in a campus network in a college teaching field and is used for constructing an open virtual experiment platform and realizing remote control of teaching devices, teaching management and resource scheduling, and is characterized in that the system comprises a student client, an identity authentication module, a device state query module, an instruction forwarding module, a data stream synchronization module, an operation log recording module, a double-channel monitoring system, an intelligent scheduling center and a teaching evaluation module; the student client is connected with the system through the campus network, is used for sending a device operation request to the system and receiving data stream and video stream from the system; the identity authentication module is used for verifying identity information and course access authority of a student, extracting key features in a last remote control operation record of the student in a verification process, the key features comprising operation parameters and experiment results, performing additional identity authentication based on the key features, and providing review content of the last operation to the student client; the device state query module is used for querying current running states and device reservation queue information of a target device after identity authentication is passed; the instruction forwarding module is used for forwarding verified operation instructions to the target device through the campus network; the data stream synchronization module is used for receiving real-time data stream and video stream returned by the target device and synchronously transmitting the real-time data stream and the video stream to the student client; the operation log recording module is used for recording all log data of the student in an operation process, including instruction sending time, device response data and user interactive events; the double-channel monitoring system comprises a control channel and a monitoring channel, the control channel is used for issuing control instructions to the target device, the monitoring channel is used for collecting running state parameters and environment video information of the target device in real time, and the control instructions, the device state parameters and the environment video information are strictly synchronized in a time stamp and a logical relationship to generate an unforgeable operation black box record; and the intelligent scheduling center is used for receiving and managing device control requests from a plurality of student clients, dynamically sorting, merging and resource allocating the requests through built-in scheduling strategies and optimization algorithms, so as to improve device utilization and user experience.

[0007] As a further scheme of the present application: when the identity verification module extracts the key features, the number of key features is dynamically calculated based on the historical data of the student's previous five remote control experiments, the historical data including the duration of each experiment, the success or failure status of the experiment result, and the interval length between adjacent experiments; wherein the longer the experiment duration, the more the failure of the experiment result, and the longer the interval length between adjacent experiments, the more the number of key features extracted; the number of key features is calculated by a preset threshold and weight, for example, when the experiment duration exceeds the preset threshold, the number of key features is increased, or when the experiment result is continuously failed, the number of extracted features is adaptively adjusted to ensure the accuracy of the verification process and the review effect; in addition, after the key features are extracted, the key features are compared with the records in the student history database, if the comparison is inconsistent, the verification fails, and the forced learning process is started.

[0008] As a further scheme of the present application: when the identity verification module extracts the key features, the number of key features is dynamically calculated based on the historical data of the student's previous five remote control experiments, the historical data including the duration of each experiment, the success or failure status of the experiment result, and the interval length between adjacent experiments; wherein the longer the experiment duration, the more the failure of the experiment result, and the longer the interval length between adjacent experiments, the more the number of key features extracted; the number of key features is calculated by a preset threshold and weight, for example, when the experiment duration exceeds the preset threshold, the number of key features is increased, or when the experiment result is continuously failed, the number of extracted features is adaptively adjusted to ensure the accuracy of the verification process and the review effect; in addition, after the key features are extracted, the key features are compared with the records in the student history database, if the comparison is inconsistent, the verification fails, and the forced learning process is started.

[0009] As a further scheme of the present application: the control channel and the monitoring channel in the dual-channel monitoring system are strictly synchronized during operation, wherein each instruction issued by the control channel has a precise time stamp, and the device state parameters and environmental video stream collected by the monitoring channel in real time also have corresponding time stamps; the system aligns the instruction time stamp, the device response data time stamp and the video stream time stamp through a time synchronization algorithm to ensure that the three are consistent on the time axis, thereby forming a complete operation black box record; the operation black box record is stored in an encrypted format to prevent tampering and support post-playback and audit; in addition, the dual-channel monitoring system also integrates an abnormality detection function, when the data collected by the monitoring channel does not match the expected instruction of the control channel, an alarm is automatically triggered and the abnormal event is recorded for analysis by the teaching evaluation module.

[0010] As a further scheme of the present application: the dual-channel monitoring system further comprises an operation process recording module for recording a composite picture of the user operation interface, the device real-time video stream and the device data stream; the composite picture is formed by superimposing multiple source streams through video processing technology, wherein the user operation interface is displayed on the left side of the composite picture, the device real-time video stream is displayed on the right side, and the device data stream is embedded at the bottom of the picture in the form of text or chart; the operation process recording module synchronizes the time stamps of each source stream in real time during the recording process to ensure the time sequence consistency of the composite picture; the recorded video file is stored in association with the operation black box record and can be used for teaching playback, error analysis and skill assessment; at the same time, the system allows authorized users to replay the composite picture through the student client to review the operation details and improve the experimental method.

[0011] As a further scheme of the present application: the system further comprises an instruction interception and security sandbox module integrated before the instruction forwarding module for security evaluation of the operation instructions from the student client; the instruction interception and security sandbox module identifies dangerous instructions through a rule library, the dangerous instructions including commands that cause damage to the device, data loss or security risks, and performs soft interception on these instructions, i.e. suspends the instruction forwarding and sends warning information to the student client; for suspected dangerous instructions, the module imports them into a virtual sandbox environment for simulation running, the virtual sandbox simulates the running environment of the target device, evaluates the influence after executing the instructions, and if the simulation result confirms safety, the instruction forwarding module actually forwards the instructions to the target device, otherwise, refuses to execute and records the event; this mechanism effectively prevents misoperation and device failure, and improves the safety and reliability of the system.

[0012] As a further scheme of the present application: when the intelligent scheduling center processes multiple user control requests through built-in scheduling strategies and optimization algorithms, it comprehensively considers the current load of the device, user priority, experiment urgency, historical usage mode and resource fairness factors; the scheduling strategies include first-come-first-served, priority queue and dynamic resource allocation, wherein the user priority is determined based on course level, student performance or teacher settings; the optimization algorithm adopts a heuristic method, such as greedy algorithm or genetic algorithm, to sort and merge the requests to minimize the average waiting time and maximize the device utilization; at the same time, the intelligent scheduling center monitors the device state and reservation queue in real time, dynamically adjusts the scheduling plan, and triggers automatic resource release when the device is idle; the scheduling result is notified to the user through the student client, including the expected waiting time and operation time window.

[0013] As a further scheme of the present application: the system further comprises a teaching evaluation module for analyzing the data in the operation log recording module, decomposing the operation process into multiple sub-actions, independently evaluating each sub-action, then analyzing the relevance between sub-actions, and generating targeted teaching suggestions based on the relevance analysis results.

[0014] As a further scheme of the present application: when analyzing the operation process, the teaching evaluation module first parses the data in the operation log recording module, identifies multiple sub-actions, each sub-action corresponding to a basic operation unit such as device startup, parameter setting, data acquisition or result analysis; then, the teaching evaluation module independently analyzes each sub-action, the evaluation indicators including execution time, error rate, operation sequence and result accuracy; next, the teaching evaluation module analyzes the timing relationship, logical dependency and influence degree between sub-actions through a relevance analysis algorithm, identifies the key nodes and potential problem areas in the operation; based on the relevance analysis results, the teaching evaluation module generates targeted teaching suggestions, including strengthening the training of sub-actions with problems identified in the relevance analysis, adjusting the operation sequence or providing personalized learning resources; in addition, the teaching evaluation module compares the evaluation results with historical data, tracks the progress of students, and generates a visual report for teachers to refer to.

[0015] The present application also discloses a device remote control method based on computer network application, which adopts a device remote control system based on computer network application, comprising the following steps:

[0016] The student client sends a device operation request to the system and receives data stream and video stream from the system;

[0017] The identity verification module verifies the student's identity information and course access rights, and extracts key features in the student's last remote control operation record during the verification process, the key features including operation parameters and experimental results, performs additional identity verification based on the key features, and provides review content of the last operation to the student client;

[0018] The device state query module queries the current running state and device reservation queue information of the target device after the identity verification is passed;

[0019] The instruction forwarding module forwards the verified operation instructions to the target device through the campus network;

[0020] The data stream synchronization module receives real-time data stream and video stream returned by the target device and synchronously transmits them to the student client;

[0021] The operation log recording module records all log data of the student during the operation process, including instruction sending time, device response data and user interaction events;

[0022] The double-channel monitoring system comprises a control channel and a monitoring channel, the control channel issues control instructions to a target device, the monitoring channel collects running state parameters and environmental video information of the target device in real time, and strictly synchronizes the control instructions, the device state parameters and the environmental video information in time stamp and logical relationship to generate an unalterable operation black box record;

[0023] The intelligent scheduling center receives and manages device control requests from multiple student clients, and dynamically sorts, merges and allocates resources to the requests through built-in scheduling strategies and optimization algorithms.

[0024] Compared with the prior art, the beneficial effects of the present application are:

[0025] The present application has multiple significant beneficial effects by constructing an open virtual experiment platform integrating dynamic identity verification, double-channel monitoring, intelligent scheduling and fine evaluation. In terms of security, it deeply integrates identity verification and learning review, and introduces a security sandbox mechanism to realize "learning through verification" and active protection; in terms of credibility, it generates time-stamped synchronized and unalterable "operation black box" and composite video to provide objective evidence for the whole teaching process; in terms of efficiency, it optimizes resource allocation through an intelligent scheduling center to greatly improve the utilization rate of expensive teaching equipment and user satisfaction; in terms of teaching effect, it atomizes the operation process and performs correlation analysis to accurately evaluate student skills and generate personalized teaching suggestions, thereby ultimately realizing intensive sharing of teaching resources, flexible development of teaching process and effective improvement of teaching quality. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 It is a structural block diagram of the device remote control system based on computer network application. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0028] As mentioned in the background of the present application, research has found that existing device remote control schemes are usually single-function, mostly only realizing simple instruction forwarding and video viewing, and cannot meet the deep needs of modern teaching management, and identity verification is usually limited to account password verification, cannot be combined with student learning progress and review needs, and security and teaching effect are not unified, which has certain defects.

[0029] In order to solve the above-mentioned defects, the application discloses a device remote control system and method based on computer network application, which can not only realize remote control of teaching equipment, but also can realize efficient utilization of teaching resources, reliable traceability of teaching process and precise improvement of teaching effect by deeply integrating identity authentication and learning review, constructing a double-channel monitoring system, introducing intelligent scheduling and implementing fine teaching evaluation.

[0030] The scheme of the application will be described in detail below in combination with the drawings on how to solve the above-mentioned technical problems.

[0031] Please refer to Figure 1The computer network application-based device remote control system in the embodiment of the application is deployed in a campus network in a college teaching field, is used for constructing an open virtual experiment platform, and realizes remote control of teaching equipment, teaching management and resource scheduling, and is characterized in that the system comprises a student client, an identity authentication module, a device state query module, an instruction forwarding module, a data stream synchronization module, an operation log recording module, a double-channel monitoring system, an intelligent scheduling center and a teaching evaluation module; the student client is connected with the system through the campus network, is used for sending a device operation request to the system and receiving data stream and video stream from the system; the identity authentication module is used for verifying identity information and course access authority of a student, and extracting key features in a last remote control operation record of the student in a verification process, the key features comprising operation parameters and experiment results, performing additional identity authentication based on the key features, and providing review content of the last operation to the student client; the device state query module is used for querying current running state and device reservation queue information of a target device after identity authentication passes; the instruction forwarding module is used for forwarding a verified operation instruction to the target device through the campus network; the data stream synchronization module is used for receiving real-time data stream and video stream returned by the target device, and synchronously transmitting the real-time data stream and the video stream to the student client; the operation log recording module is used for recording all log data of the student in an operation process, comprising instruction sending time, device response data and user interactive events; the double-channel monitoring system comprises a control channel and a monitoring channel, the control channel is used for issuing a control instruction to the target device, the monitoring channel is used for collecting running state parameters and environment video information of the target device in real time, and strictly synchronizes the control instruction, the device state parameters and the environment video information in a time stamp and a logical relationship, and generates an unalterable operation black box record; the intelligent scheduling center is used for receiving and managing device control requests from a plurality of student clients, dynamically sorts, combines and allocates resources to the requests through a built-in scheduling strategy and an optimization algorithm, so as to improve device utilization and user experience. The application constructs a core framework of an integrated remote control system, organically integrates the identity authentication, state query, instruction forwarding, data synchronization, log recording and double-channel monitoring modules, establishes basic operation logic of the system, and provides basic framework support for realizing intensification, sharing of teaching equipment and controllability and traceability of a teaching process.

[0032] In the present embodiment, the identity verification module dynamically calculates the number of key features when extracting the key features based on the historical data of the student's previous five remote control experiments, including the duration of each experiment, the success or failure status of the experiment result, and the interval length between adjacent experiments; wherein the longer the experiment duration, the more the experiment result fails, and the longer the interval between adjacent experiments, the more the number of key features extracted; the number of key features is calculated by a pre-set threshold and weight, for example, when the experiment duration exceeds the pre-set threshold, the number of key features is increased, or when the experiment result is continuously failed, the number of extracted features is adaptively adjusted to ensure the accuracy of the verification process and the review effect; in addition, after the identity verification module extracts the key features, the key features are compared with the records in the student history database, if the comparison is inconsistent, the verification fails, and the forced learning process is started. The setting gives the identity verification module the ability of dynamic adaptation, by intelligently adjusting the verification intensity (number of key features) according to the student's historical experimental performance (duration, result, interval), so that the verification process not only ensures safety, but also has the teaching function of review guidance, realizing the personalized and intelligent combination of security verification and learning process.

[0033] In the present embodiment, when the key feature verification in the identity verification module fails, the system automatically sends the complete data stream and video stream of the student's last remote control experiment to the student client through the data stream synchronization module, and requires the student to perform forced learning on the client interface; forced learning includes watching the video playback of the last experiment, viewing the data stream analysis report, and completing the interactive review test; only after the student passes the review test, the identity verification module allows it to submit the verification request again, and after the verification is passed, it can enter the device reservation link; at the same time, the operation log recording module records the process and result of forced learning for subsequent teaching evaluation and analysis; this mechanism not only strengthens identity security, but also promotes the student's review of previous experiment content, improves learning continuity and teaching effect. The setting establishes a "verification-learning-reverification" closed-loop forced review mechanism. When the verification fails, the system forces the student to review the complete process of the last experiment and complete the test, ensuring that the student has fully understood and consolidated the previous knowledge before conducting a new experiment, thereby converting the security interception point into an effective teaching intervention point, and strengthening the learning effect.

[0034] In this embodiment, the control channel and the monitoring channel in the dual-channel monitoring system are strictly synchronized during operation, where each instruction issued by the control channel is accompanied by an accurate timestamp, and the device state parameters and environmental video stream collected by the monitoring channel in real time are also accompanied by corresponding timestamps; the system aligns the instruction timestamp, device response data timestamp and video stream timestamp through a time synchronization algorithm, ensuring that the three are consistent on the time axis, thereby forming a complete operation black box record; the operation black box record is stored in an encrypted format to prevent tampering and support post-playback and auditing; in addition, the dual-channel monitoring system also integrates an anomaly detection function, which automatically triggers an alarm and records an abnormal event when the data collected by the monitoring channel does not match the expected instruction from the control channel, for analysis by the teaching evaluation module. This setup ensures the completeness and tamper-proof nature of the operation process record, strictly synchronizes the control instruction, device data and video stream through timestamps, generates a trusted "operation black box", and provides highly credible technical evidence for post-tracing of problems, definition of responsibilities and review of processes, fundamentally ensuring the transparency and credibility of the operation process.

[0035] In this embodiment, the dual-channel monitoring system also includes an operation process video recording module for recording a composite picture of the user operation interface, device real-time video stream and device data stream; the composite picture superimposes multiple source streams through video processing technology to form a unified video output, where the user operation interface is displayed on the left side of the composite picture, the device real-time video stream is displayed on the right side, and the device data stream is embedded at the bottom of the picture in the form of text or charts; the operation process video recording module synchronizes the timestamps of each source stream in real time during recording to ensure the temporal consistency of the composite picture; the recorded video file is stored in association with the operation black box record and can be used for teaching playback, error analysis and skill evaluation; at the same time, the system allows authorized users to play back the composite picture through the student client to review operation details and improve experimental methods. This setup provides an intuitive and comprehensive operation process visualization recording scheme, which integrates abstract operation instructions, device states and specific visual pictures through the generation of a composite picture of multiple source information (operation interface, device video, data stream), greatly facilitating teaching playback, error analysis and skill evaluation, making review and guidance more efficient and accurate.

[0036] In the present embodiment, the system further comprises an instruction interception and security sandbox module integrated before the instruction forwarding module, for security assessment of operation instructions from the student client; the instruction interception and security sandbox module identifies dangerous instructions through a rule library, dangerous instructions including commands that cause damage to the device, data loss or security risks, and performs soft interception of these instructions, i.e. suspending instruction forwarding and sending warning information to the student client; for suspected dangerous instructions, the module imports them into a virtual sandbox environment for simulation running, the virtual sandbox simulates the running environment of the target device, assesses the impact after executing the instructions, and if the simulation result confirms safety, the instruction forwarding module actually forwards the instructions to the target device, otherwise refuses to execute and records the event; this mechanism effectively prevents misoperation and device failure, and improves the security and reliability of the system. The setting adds an active security protection layer to the system, through the dual mechanism of "rule library identification + virtual sandbox simulation", the system can identify and intercept potential dangerous operations before the instructions are actually executed, which can effectively prevent damage to the device and data loss caused by student misoperation, and also provides a safe trial-and-error learning environment for students.

[0037] In the present embodiment, when the intelligent scheduling center processes multiple user control requests through built-in scheduling strategies and optimization algorithms, it comprehensively considers the current load of the device, user priority, experiment urgency, historical usage patterns, and resource fairness factors; the scheduling strategies include first-come-first-served, priority queue, and dynamic resource allocation, among which the user priority is determined based on course level, student performance, or teacher settings; the optimization algorithm uses a heuristic method, such as a greedy algorithm or a genetic algorithm, to sort and merge requests to minimize average waiting time and maximize device utilization; at the same time, the intelligent scheduling center monitors device status and reservation queues in real time, dynamically adjusts scheduling plans, and triggers automatic resource release when the device is idle; the scheduling results are notified to the user through the student client, including estimated waiting time and operation time window. This setting realizes efficient and fair allocation of device resources in a multi-user environment, by considering multiple factors (load, priority, urgency, etc.) and using optimization algorithms, the system can intelligently sort and merge user requests, thereby significantly improving the utilization and throughput of expensive experimental devices, while optimizing the waiting experience of users.

[0038] In this embodiment, the system further includes a teaching evaluation module for analyzing the data in the operation log recording module, breaking down the operation process into multiple sub-actions, independently evaluating each sub-action, then analyzing the relevance between sub-actions, and generating targeted teaching suggestions based on the relevance analysis results. This setting changes the teaching evaluation from result-oriented to fine-grained process-oriented. By breaking down continuous operations into atomized sub-actions and conducting independent and associated analysis, the system can accurately locate specific weak links in students' operation skills and provide technical possibilities for generating highly targeted, data-driven teaching suggestions.

[0039] In this embodiment, when analyzing the operation process, the teaching evaluation module first parses the data in the operation log recording module, identifies multiple sub-actions, each corresponding to a basic operation unit such as device startup, parameter setting, data acquisition or result analysis; then, the teaching evaluation module independently analyzes each sub-action, and the evaluation indicators include execution time, error rate, operation sequence and result accuracy; next, the teaching evaluation module analyzes the timing relationship, logical dependence and influence degree between sub-actions through relevance analysis algorithm, identifies key nodes and potential problem areas in the operation; based on the relevance analysis results, the teaching evaluation module generates targeted teaching suggestions, including strengthening the training of sub-actions with problems identified in the relevance analysis, adjusting the operation sequence or providing personalized learning resources; in addition, the teaching evaluation module compares the evaluation results with historical data, tracks students' progress, and generates visual reports for teachers to refer to. This setting deepens and refines the analysis capabilities of the teaching evaluation module, which specifically defines the analysis dimensions of sub-actions (time, error rate, sequence, etc.) and relevance analysis methods, so that the generated evaluation suggestions not only point out the problems, but also reveal the root causes of the problems (such as improper operation sequence), thereby achieving more accurate learning path planning and personalized guidance.

[0040] The application also discloses a device remote control method based on a computer network application, and adopts a device remote control system based on a computer network application, and comprises the following steps: a student client sends a device operation request to the system and receives data stream and video stream from the system; an identity verification module verifies identity information and course access permission of the student, and extracts key features in a last remote control operation record of the student in a verification process, the key features comprising operation parameters and experimental results, performs additional identity verification based on the key features, and provides review content of the last operation to the student client; a device state query module queries current running state and device reservation queue information of a target device after identity verification is passed; an instruction forwarding module forwards verified operation instructions to the target device through a campus network; a data stream synchronization module receives real-time data stream and video stream returned by the target device, and synchronously transmits the real-time data stream and the video stream to the student client; an operation log record module records all log data of the student in an operation process, comprising instruction sending time, device response data and user interaction events; a double-channel monitoring system comprises a control channel and a monitoring channel, the control channel issues control instructions to the target device, the monitoring channel collects running state parameters and environment video information of the target device in real time, and strictly synchronizes the control instructions, the device state parameters and the environment video information in time stamp and logical relationship, and generates an unalterable operation black box record; an intelligent scheduling center receives and manages device control requests from multiple student clients, and dynamically sorts, combines and allocates resources to the requests through built-in scheduling strategies and optimization algorithms.

[0041] The application has multiple significant beneficial effects by constructing an open virtual experiment platform integrating dynamic identity verification, double-channel monitoring, intelligent scheduling and refined evaluation. In terms of safety, the application deeply integrates identity verification and learning review, and introduces a security sandbox mechanism, thereby realizing "learning by verification" and active protection; in terms of reliability, the application generates time stamp synchronization and unalterable "operation black box" and synthetic video, thereby providing objective evidence for a whole-process traceable teaching process; in terms of efficiency, the application optimizes resource allocation through an intelligent scheduling center, thereby greatly improving utilization rate of expensive teaching devices and user satisfaction; in terms of teaching effect, the application atomizes an operation process and performs correlation analysis, thereby accurately evaluating student skills and generating individualized teaching suggestions, and finally realizing intensive sharing of teaching resources, flexible development of a teaching process and effective improvement of teaching quality.

[0042] Obviously, those skilled in the art can make various modifications and variations to the application without departing from the spirit and scope of the application. Thus, if these modifications and variations of the application belong to the scope of the claims of the application and equivalent technologies thereof, the application also intends to include these modifications and variations.

[0043] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art, according to the technical solution and inventive concept of the present application, makes equivalent replacement or change within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A remote control system for equipment based on computer network applications, characterized in that, It includes a student client, an identity verification module, a device status query module, a command forwarding module, a data stream synchronization module, an operation log recording module, a dual-channel monitoring system, and an intelligent dispatch center; The student client is used to send device operation requests to the system and receive data streams and video streams from the system; the authentication module is used to verify the student's identity information and course access permissions, and extracts key features from the student's last remote control operation record during the verification process, performs additional authentication based on the key features, and provides the student client with review content of the last operation; the device status query module is used to query the current operating status of the target device and the device reservation queue information after the authentication is successful. The instruction forwarding module forwards verified operation instructions to the target device via the campus network; the data stream synchronization module receives real-time data and video streams from the target device and transmits them synchronously to the student client; the operation log recording module records all log data during the student's operation, including instruction sending time, device response data, and user interaction events; the dual-channel monitoring system includes a control channel and a monitoring channel. The control channel issues control instructions to the target device, and the monitoring channel collects the target device's operating status parameters and environmental video information in real time, strictly synchronizing the control instructions, device status parameters, and environmental video information in terms of timestamps and logical relationships to generate an unalterable operation black box record; the intelligent scheduling center receives and manages device control requests from multiple student clients, dynamically sorting, merging, and allocating resources for the requests through built-in scheduling strategies and optimization algorithms. When extracting key features, the identity verification module dynamically calculates the number of key features based on the student's historical data from five previous remote control experiments. This historical data includes the duration of each experiment, the success or failure status of the experiment, and the interval between adjacent experiments. The longer the experiment duration, the more likely the experiment is to fail, and the longer the interval between adjacent experiments, the more key features are extracted. The calculation of the number of key features is performed using preset thresholds and weights. Furthermore, after extracting the key features, the identity verification module compares them with records in the student's historical database. If the comparison is inconsistent, a verification failure status is triggered, and a forced learning process is initiated.

2. The remote control system for equipment based on computer network applications according to claim 1, characterized in that, When the key feature verification in the identity verification module fails, the system automatically sends the complete data stream and video stream of the student's previous remote control experiment to the student's client through the data stream synchronization module, and requires the student to perform mandatory learning on the client interface. The mandatory learning includes watching the video playback of the previous experiment, viewing the data stream analysis report, and completing an interactive review test. Only after the student passes the review test will the identity verification module allow them to submit a verification request again. Only after successful verification can they enter the device reservation process. At the same time, the operation log recording module will record the process and results of the mandatory learning for subsequent teaching evaluation and analysis.

3. The remote control system for equipment based on computer network applications according to claim 2, characterized in that, The control channel and monitoring channel in the dual-channel monitoring system are strictly synchronized during operation. Each instruction issued by the control channel has a precise timestamp, and the device status parameters and environmental video streams collected in real time by the monitoring channel also have corresponding timestamps. The system aligns the instruction timestamp, device response data timestamp, and video stream timestamp using a time synchronization algorithm to ensure consistency across the timeline, thus forming a complete operation black box record. This operation black box record is stored in an encrypted format to prevent tampering and supports post-event playback and auditing. Furthermore, the dual-channel monitoring system integrates anomaly detection functionality. When the data collected by the monitoring channel does not match the expected instructions from the control channel, an alarm is automatically triggered and the abnormal event is recorded for analysis by the teaching evaluation module.

4. The remote control system for equipment based on computer network applications according to claim 3, characterized in that, The dual-channel monitoring system also includes an operation process recording module, used to record a composite image of the user interface, real-time video stream from the device, and device data stream. This composite image uses video processing technology to overlay multiple source streams into a unified video output. The user interface is displayed on the left side of the composite image, the real-time video stream from the device is displayed on the right, and the device data stream is embedded at the bottom of the image as text or charts. The operation process recording module synchronizes the timestamps of each source stream in real time during recording to ensure the temporal consistency of the composite image. The recorded video file is stored in association with the operation black box record and can be used for teaching playback, error analysis, and skills assessment. Simultaneously, the system allows authorized users to replay the composite image through a student client to review operational details and improve experimental methods.

5. The remote control system for equipment based on computer network applications according to claim 4, characterized in that, The system also includes an instruction interception and security sandbox module for security assessment of operation instructions from student clients. This module identifies dangerous instructions using a rule base, including commands that could cause device damage, data loss, or security risks. It performs soft interception on these instructions, suspending instruction forwarding and sending a warning message to the student client. For suspected dangerous instructions, the module imports them into a virtual sandbox environment for simulation. The virtual sandbox simulates the operating environment of the target device, evaluates the impact after instruction execution, and if the simulation confirms safety, the instruction forwarding module actually forwards the instruction to the target device; otherwise, it refuses execution and records the event.

6. The remote control system for equipment based on computer network applications according to claim 5, characterized in that, When processing multiple user control requests, the intelligent scheduling center comprehensively considers factors such as current equipment load, user priority, experiment urgency, historical usage patterns, and resource fairness through its built-in scheduling strategies and optimization algorithms. The scheduling strategies include first-come, first-served, priority queues, and dynamic resource allocation, where user priority is determined based on course level, student grades, or teacher settings. The optimization algorithm employs a heuristic approach to sort and merge requests to minimize average waiting time and maximize equipment utilization. Simultaneously, the intelligent scheduling center monitors equipment status and reservation queues in real time, dynamically adjusts the scheduling plan, and triggers automatic resource release when equipment is idle. Scheduling results, including estimated waiting time and operation time windows, are notified to users through student clients.

7. The remote control system for equipment based on computer network applications according to claim 6, characterized in that, The system also includes a teaching evaluation module, which analyzes the data in the operation log recording module, breaks down the operation process into multiple sub-actions, evaluates each sub-action independently, analyzes the correlation between the sub-actions, and generates targeted teaching suggestions based on the correlation analysis results.

8. The remote control system for equipment based on computer network applications according to claim 7, characterized in that, When analyzing the operation process, the teaching evaluation module first parses the data in the operation log recording module to identify multiple sub-actions, each corresponding to a basic operation unit. Then, the teaching evaluation module analyzes each sub-action independently, with evaluation indicators including execution time, error rate, operation sequence, and result accuracy. Next, the teaching evaluation module uses a correlation analysis algorithm to analyze the temporal relationship, logical dependency, and degree of influence between sub-actions, identifying key nodes and potential problem areas in the operation. Based on the correlation analysis results, the teaching assessment module generates targeted teaching suggestions, including strengthening training on sub-actions with problems identified in the correlation analysis, adjusting the order of operations, or providing personalized learning resources. In addition, the teaching assessment module compares the assessment results with historical data, tracks student progress, and generates visual reports for teachers' reference.

9. A method for remotely controlling equipment based on computer network applications, characterized in that: The device remote control system based on computer network applications as described in any one of claims 1-8 includes the following steps: The student client sends device operation requests to the system and receives data and video streams from the system; The identity verification module verifies the student's identity information and course access permissions, and extracts key features from the student's previous remote control operation record during the verification process. The key features include operation parameters and experimental results. Additional identity verification is performed based on the key features, and at the same time, the review content of the previous operation is provided to the student's client. After successful authentication, the device status query module queries the current operating status and device reservation queue information of the target device. The instruction forwarding module forwards verified operation instructions to the target device via the campus network; The data stream synchronization module receives the real-time data stream and video stream returned by the target device and transmits them synchronously to the student client; The operation log recording module records all log data of students during the operation process, including the time of instruction sending, device response data and user interaction events; The dual-channel monitoring system includes a control channel and a monitoring channel. The control channel sends control commands to the target device, while the monitoring channel collects the operating status parameters and environmental video information of the target device in real time. The control commands, device status parameters, and environmental video information are strictly synchronized in terms of timestamps and logical relationships to generate an unalterable operation black box record. The intelligent scheduling center receives and manages device control requests from multiple student clients, and dynamically sorts, merges, and allocates resources for these requests using built-in scheduling strategies and optimization algorithms.

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