Teaching equipment management system based on remote control of Internet of Things

Abstract

The invention provides a teaching equipment management system based on remote control of the Internet of Things, and the system comprises a data monitoring module which is used for monitoring the operation state of each node, converting the operation state of each node into a digital signal, and transmitting the digital signal to a data processing center through a data transmission module; the data transmission module is used for receiving data information transmitted by the data monitoring module, the data processing center and the user side, processing the received data information and then respectively sending the processed data information to the data processing center, the user side and the equipment control module; the data processing center is used for carrying out operation processing on the data transmitted by the data monitoring module; the equipment control module is used for executing the control instruction issued by the user side; and the user side is used for centrally managing the operation state of each node. According to the invention, the teaching equipment is accessed to the Internet for centralized management, so that the teaching equipment is more convenient to manage, the use request or maintenance demand of the teaching equipment is quickly responded, and the downtime of the teaching equipment is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching equipment management, and in particular to a teaching equipment management system based on remote control of the Internet of Things. Background Art

[0002] With the popularization and rapid development of smart classrooms, in order to standardize the remote management of teaching equipment, it is found in the study that there are still some problems in the management of teaching equipment in colleges and universities. For example, the maintenance and procurement of multimedia equipment and electronic equipment in smart classrooms are often the responsibility of staff from various departments. This phenomenon causes the lack of a unified plan for the management of teaching equipment. Under the traditional teaching equipment management method, due to the scattered data in the management, the information exchange between departments is not smooth, resulting in the lack of close relationship between classroom users, managers and maintainers, resulting in low utilization rate and high consumption of teaching equipment. In the process of remote control of teaching equipment, the security and stability of data transmission are two major technical challenges. There may be problems of data tampering during the transmission process, which makes teachers and students unable to use teaching equipment normally and affects the teaching progress. Secondly, the judgment of signal strength is equally important to ensure the stability and reliability of remote control. If the signal strength is insufficient, the control command may be lost or delayed, affecting the effect of remote control. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a teaching equipment management system based on remote control of the Internet of Things. By monitoring the teaching equipment, managers can obtain the status information of the teaching equipment in real time and safely, thereby realizing rapid response to teaching equipment usage requests or maintenance needs.

[0004] To achieve the above-mentioned purpose of the invention, the present invention provides a teaching equipment management system based on remote control of the Internet of Things, the system comprising:

[0005] A data monitoring module is used to monitor the operating status of each node and convert the operating status of each node into a digital signal and send it to the data processing center through the data transmission module. The nodes are various teaching devices in the classroom;

[0006] The data transmission module is used to receive data information transmitted by the data monitoring module, the data processing center and the user end, and process the received data information and send it to the data processing center, the user end and the device control module respectively;

[0007] The data processing center is used to perform calculations and processing on the data transmitted by the data monitoring module;

[0008] The device control module is used to execute the control instructions issued by the user end;

[0009] The user side is used to centrally manage the operating status of each node.

[0010] Furthermore, the data monitoring module includes several acquisition units and data conversion units, and the acquisition units are data-connected to the data conversion units. Each classroom includes at least one acquisition unit and data conversion unit. The acquisition unit is used to collect the operating status of each node in the classroom, and the data conversion unit is used to convert the operating status of the node into a digital signal.

[0011] Furthermore, the data transmission module includes:

[0012] The first data transceiver unit is used to read the digital signal transmitted by the data monitoring module, and encrypt and package the digital signal and send it to the data processing center in real time by wireless transmission;

[0013] A second data transceiver unit is used to receive the analysis data transmitted by the data processing center and send the analysis data to the user end;

[0014] The third data transceiver unit is used to receive the decision instruction from the user end and transmit the decision instruction to the device control module in real time.

[0015] Further, encrypting and packaging the digital signal specifically includes:

[0016] S11, segmenting the digital signal to obtain segmented digital signals, and randomly extracting the segmented digital signals to obtain a first random digital signal;

[0017] S12, performing a bit operation according to the segmented digital signal, the first random digital signal and the encryption key to obtain a first ciphertext digital signal;

[0018] S13, performing a bit operation on the encryption key and the first random digital signal to obtain a second random digital signal;

[0019] S14, inserting the second random digital signal into the first ciphertext digital signal to obtain a second ciphertext digital signal;

[0020] S15, performing a bit inversion operation on the second ciphertext digital signal to obtain an encrypted segmented digital signal;

[0021] S16, adding a frame header, the length of the segmented digital signal and the length of the encrypted segmented digital signal before the encrypted segmented digital signal, and adding a frame tail after the encrypted segmented digital signal for packaging to obtain a packaged encrypted segmented digital signal.

[0022] Furthermore, the data processing center includes:

[0023] A data receiving unit, used for receiving the data sent by the first data transceiver unit, determining whether the received data needs to be further processed, and if so, allocating the data to the data processing unit, otherwise allocating the data to the storage unit for storage;

[0024] A data processing unit, used for analyzing and processing the segmented digital signal, obtaining device analysis data and storing it in a data storage unit;

[0025] A data storage unit, used to store data of the data receiving unit and the data processing unit respectively;

[0026] The data sending unit is used to receive the query instruction of the user end, retrieve the storage data of the corresponding data storage unit, and send the retrieved data to the user end through the data transmission module.

[0027] Further, the data is decrypted and unpacked, specifically including:

[0028] S21, obtaining an encryption key, performing a bit reversal operation on the packaged encrypted segmented digital signal, and obtaining a fourth ciphertext digital signal;

[0029] S22, extracting a second random digital signal from the fourth ciphertext digital signal to obtain a fifth ciphertext digital signal;

[0030] S23, performing a bit operation on the second random digital signal and the encryption key to obtain a first random digital signal;

[0031] S24. Perform bit operation according to the fifth ciphertext digital signal, the first random digital signal and the encryption key to obtain the original segmented digital signal.

[0032] Furthermore, the decision instructions are transmitted to the equipment control module in real time, specifically including:

[0033] S31, when receiving a decision instruction transmission request, performing quality analysis on the transmission signal to identify whether the transmission signal has insufficient transmission quality during the transmission process;

[0034] S32, if yes, input the phase error information and background noise intensity information of the transmission signal into a pre-trained machine learning model to obtain transmission quality analysis data, if no, directly transmit to the device control module;

[0035] S33, comparing the transmission quality analysis data with a preset transmission quality threshold to obtain a feedback signal, if the transmission quality analysis data is greater than or equal to the transmission quality threshold, it is classified as a positive feedback transmission signal, if the transmission quality analysis data is less than the transmission quality threshold, it is classified as a negative feedback transmission signal;

[0036] S34. If the feedback signal is a negative feedback signal, it is necessary to retransmit and repeat steps S21 to S23 until the decision instruction is transmitted to the device control module.

[0037] Furthermore, the device control module executes the control instruction issued by the user terminal, specifically including:

[0038] S41. The control instruction is represented as D, and the execution process of D is represented as E. Then the expression for executing D is:

[0039] D=d i ,i=1,2...,E=e j ,j=1,2...

[0040] Wherein, d represents the driving instruction, i represents the i-th instruction, j represents the j-th execution, and e represents the driving execution;

[0041] S42, if the node of the control instruction cannot be completed, the management instruction is replaced by node fitting of the control instruction, the behavior variable of the management instruction at the node is represented by B, and the linear change at the node is represented by C, then the expression of the node driving execution process of the driver is:

[0042]

[0043] Among them, A is the driver execution process of the node to the driver, and n is the instruction driver execution process;

[0044] S43. By setting the node logic conversion process, delay and deviation of key information in the instruction during transmission and format conversion are avoided. The expression of the node logic conversion process is as follows:

[0045]

[0046] Among them, S is the node logic conversion process, and s is the IoT node sampling delay.

[0047] Furthermore, the user terminal includes:

[0048] The device management unit is used to process the request data of the device request unit and the device maintenance unit, and manage the node according to the information fed back by the data processing center obtained from the request data;

[0049] A device request unit, used to send a device use application to the device management unit;

[0050] The equipment maintenance unit is used to send equipment maintenance applications to the equipment management unit.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] The present invention provides a teaching equipment management system based on remote control of the Internet of Things. The data monitoring module collects the running status of the node and converts the collected data into digital signals for transmission. The data transmission module encrypts the digital signal and then sends it to the data processing center for calculation and processing, and obtains the query instruction issued by the user end from the data processing center, and sends the control instruction of the user end to the equipment control module. The present invention realizes the unified management of teaching equipment, promotes the information exchange between classroom users, managers and maintainers, so that the teaching equipment can be fully utilized. In the process of data transmission, the collected signal is encrypted and transmitted to prevent the data from being tampered with during the transmission process, and the stability of the control instruction is monitored to prevent the loss of the control instruction and ensure the normal use of the teaching equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0054] Figure 1 The present invention is a schematic diagram of the structure of a teaching equipment management system based on remote control of the Internet of Things proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0056] Reference Figure 1 This embodiment provides a teaching equipment management system based on remote control of the Internet of Things, the system comprising:

[0057] The data monitoring module is used to monitor the operating status of each node and convert the operating status of each node into a digital signal and send it to the data processing center through the data transmission module. The node is each teaching device in the classroom. The data monitoring module ensures that the operating status of each teaching device in the classroom can be monitored efficiently and accurately, and the status information is converted into a digital signal for further processing and analysis.

[0058] The data monitoring module includes several acquisition units and data conversion units, and the acquisition units are data-connected with the data conversion units. Each classroom includes at least one acquisition unit and data conversion unit. The acquisition unit is used to collect the operating status of each node in the classroom, and the data conversion unit is used to convert the operating status of the node into a digital signal.

[0059] In this embodiment, the acquisition unit is responsible for collecting the operating status of each node in the classroom in real time. The data conversion unit is connected to the acquisition unit and is responsible for converting the collected node operating status information into digital signals. The conversion process encodes the discrete device status into digital form. Through the collaborative work of the acquisition unit and the data conversion unit, the data monitoring module can provide real-time and accurate device status information, realizing effective monitoring of the operating status of teaching equipment in the classroom. The converted digital signal is sent to the data processing center through the data transmission module for centralized processing and analysis.

[0060] The data transmission module is used to receive data information transmitted by the data monitoring module, the data processing center and the user end, and process the received data information and send it to the data processing center, the user end and the device control module respectively. The data transmission module includes:

[0061] The first data transceiver unit is used to read the digital signal transmitted by the data monitoring module, and encrypt and package the digital signal and send it to the data processing center in real time by wireless transmission.

[0062] The second data transceiver unit is used to receive the analysis data transmitted by the data processing center and send the analysis data to the user end.

[0063] The third data transceiver unit is used to receive the decision instruction from the user end and transmit the decision instruction to the device control module in real time.

[0064] In this embodiment, the data transmission module can optimize the data receiving and sending process, reduce the delay of data transmission between different modules, facilitate monitoring and maintenance, and improve the response speed and processing efficiency of the overall system. At the same time, the centralized data transmission point can more easily implement security, monitoring and diagnostic measures, such as encryption and access control, and real-time monitoring of the status of data flow, thereby protecting the security of data during transmission and quickly locating and solving problems.

[0065] Encrypting and packaging the digital signal specifically includes:

[0066] S11, segmenting the digital signal to obtain segmented digital signals, and randomly extracting the segmented digital signals to obtain a first random digital signal.

[0067] S12. Perform bit operation according to the segmented digital signal, the first random digital signal and the encryption key to obtain a first ciphertext digital signal.

[0068] S13. Perform a bit operation on the encryption key and the first random digital signal to obtain a second random digital signal.

[0069] S14. Insert the second random digital signal into the first ciphertext digital signal to obtain a second ciphertext digital signal.

[0070] S15. Perform a bit inversion operation on the second ciphertext digital signal to obtain an encrypted segmented digital signal.

[0071] S16, adding a frame header, the length of the segmented digital signal and the length of the encrypted segmented digital signal before the encrypted segmented digital signal, and adding a frame tail after the encrypted segmented digital signal for packaging to obtain a packaged encrypted segmented digital signal.

[0072] In a specific implementation, the digital signal to be encrypted can be divided into multiple segments, or the digital signal to be encrypted can be used as one segment. The segmented digital signal can first perform a bit operation with the first random digital signal to obtain a third ciphertext, and the bit operation includes but is not limited to an XOR operation. Then the third ciphertext is subjected to a bit operation with the encryption key to obtain the first ciphertext digital signal. It is conceivable that the segmented digital signal can also first perform a bit operation with the encryption key to obtain a third ciphertext, and then the third ciphertext is subjected to a bit operation with the first random digital signal to obtain the first ciphertext digital signal. The encryption key is subjected to the first random digital signal to obtain a second random digital signal, and the length of the second random digital signal is the same as the length of the first random digital signal. In order to prevent data expansion, the length value should not be too large. The second random digital signal can also be obtained by performing a bitwise XOR operation on each byte of the first random digital signal, except the last byte, with the following byte. A frame header, such as a synchronization signal, is added before the encrypted segmented digital signal, and the length of the segmented digital signal and the length of the encrypted segmented digital signal are added, which helps the receiving end to correctly parse the data, and a frame tail is added after the encrypted segmented digital signal to mark the end of the packaging. After the packaging is completed, the final packaged encrypted segmented digital signal is generated and is ready for transmission.

[0073] Transmit decision instructions to the equipment control module in real time, including:

[0074] S31. When a decision instruction transmission request is received, quality analysis is performed on the transmission signal to identify whether the transmission signal has insufficient transmission quality during the transmission process.

[0075] S32. If yes, the phase error information and background noise intensity information of the transmission signal are input into a pre-trained machine learning model to obtain transmission quality analysis data. If no, the data is directly transmitted to the device control module.

[0076] S33. Compare the transmission quality analysis data with the preset transmission quality threshold to obtain a feedback signal. If the transmission quality analysis data is greater than or equal to the transmission quality threshold, it is classified as a positive feedback transmission signal. If the transmission quality analysis data is less than the transmission quality threshold, it is classified as a negative feedback transmission signal.

[0077] S34. If the feedback signal is a negative feedback signal, it is necessary to retransmit and repeat steps S21 to S23 until the decision instruction is transmitted to the device control module.

[0078] As a preferred embodiment, real-time transmission signal strength data is collected to analyze whether there is signal attenuation or interference. The transmission signal strength change information collected in real time under the target transmission request time window is obtained. The signal strength change information includes the signal strength data at each moment. The signal strength standard deviation is calculated based on the signal strength data at each moment, and the change interval of the signal strength data is obtained. Then, the change interval of the signal strength data is compared with the preset standard strength change range, and the signal strength standard deviation is compared with the preset signal strength standard fluctuation threshold. If the intersection of the signal strength data change interval and the preset standard strength change range is the signal strength data change interval and the signal strength standard deviation is less than the preset signal strength standard fluctuation threshold, the transmission signal is a normal signal, otherwise the transmission signal has insufficient transmission quality.

[0079] Among them, the signal strength variation range refers to the range of the maximum and minimum signal strength within a certain time window. This indicator is used to reflect the fluctuation of signal strength. If the signal strength variation range exceeds the pre-set standard strength variation range, it may indicate that the network signal is highly unstable during transmission. The signal strength standard deviation reflects the degree of dispersion of the signal strength over a period of time. If the standard deviation is large, it means that the signal strength is unstable and susceptible to external interference, and there is a hidden danger of insufficient transmission quality.

[0080] It should be noted that if it is a normal signal, the device control module can directly perform the corresponding device control operation according to the control instruction it receives, such as controlling the teaching equipment to turn on and off. Otherwise, it needs to be re-transmitted through the data transmission module. Use signal analysis tools or software to extract the phase error and background noise data of the transmission signal with insufficient transmission quality, and substitute them into the pre-trained machine learning model to obtain transmission quality analysis data. The machine learning model is not specifically limited here, and any model that can perform comprehensive analysis of the phase error index and background noise index to generate a transmission quality coefficient is acceptable. The positive feedback signal indicates that the communication quality meets the requirements and the system does not need to be adjusted. The negative feedback signal indicates that there is a problem with the communication quality, and the system needs to be adjusted and optimized, such as switching channels, increasing transmission power, etc., to improve the communication quality.

[0081] The data processing center is used to perform operations on the data transmitted by the data monitoring module. The original data is processed to analyze and understand the meaning of the data, thereby extracting information that can help managers make decisions. The data processing center includes:

[0082] The data receiving unit is used to receive the data sent by the first data transceiver unit, determine whether the received data needs to be further processed, and if so, allocate the data to the data processing unit, otherwise, allocate the data to the storage unit for storage. The data processing unit is used to analyze and process the segmented digital signal, obtain the device analysis data and store it in the data storage unit. The data storage unit is used to store the data of the data receiving unit and the data processing unit respectively. The data sending unit is used to receive the query instruction of the user end, retrieve the storage data of the corresponding data storage unit, and send the retrieved data to the user end through the data transmission module.

[0083] Determining whether the received data needs further processing can avoid unnecessary processing of all data, thereby saving computing resources and time and improving the efficiency of the overall system. The analysis and processing of segmented digital signals can extract useful information from the original data, such as equipment status, performance indicators, fault diagnosis, etc. The processed data provides decision support for managers to help them make decisions based on the data, such as equipment maintenance plans, resource allocation, etc. Storing the data separately can ensure that the integrity of the data is not destroyed during the receiving and processing stages. If an error occurs during the data processing, the original received data can still be used as a reference to facilitate error tracking and correction.

[0084] Decrypting and unpacking the data specifically includes:

[0085] S21. Obtain an encryption key, perform a bit reversal operation on the packaged encrypted segmented digital signal, and obtain a fourth ciphertext digital signal.

[0086] S22. Extract a second random digital signal from the fourth ciphertext digital signal to obtain a fifth ciphertext digital signal.

[0087] S23. Perform a bit operation on the second random digital signal and the encryption key to obtain a first random digital signal.

[0088] S24. Perform bit operation according to the fifth ciphertext digital signal, the first random digital signal and the encryption key to obtain the original segmented digital signal.

[0089] The insertion position of the second random digital signal in the fourth ciphertext digital signal is determined according to the second length value of the packed encrypted segmented digital signal, the checksum of the encryption key, and the fourth length value of the encryption key. The starting position of the bit reversal operation in the packed encrypted segmented digital signal is determined according to the insertion position and the fourth length value, and then one bit in each byte after the starting position in the packed encrypted segmented digital signal is reversed to obtain a fourth ciphertext digital signal, wherein the bit to be reversed in each byte is determined by at least three bits in the bit stream composed of the bytes preceding the byte. The second random digital signal is extracted from the fourth ciphertext digital signal according to the insertion position and at least one bit to obtain a fifth ciphertext digital signal. During the process of digital signal encryption and decryption, a first ciphertext digital signal is obtained by performing a bit operation on the plaintext digital signal, the encryption key and the first random digital signal, and a second random digital signal is obtained by performing a bit operation on the encryption key. The second random digital signal is then subjected to a bit operation on the first ciphertext digital signal to obtain a second ciphertext digital signal. Finally, the second ciphertext digital signal is subjected to a bit inversion operation to obtain the original plaintext digital signal, which solves the problem of poor security of digital signals during transmission and greatly increases the difficulty of cracking.

[0090] The device control module is used to execute the control instructions issued by the user. In the process of executing the control instructions issued by the user, all teaching devices in the classroom are connected to the Internet of Things, and the communication protocol and transmission logic of the Internet of Things are used to set various management instructions for different teaching devices.

[0091] The device control module executes the control instructions issued by the user terminal, specifically including:

[0092] S41. The control instruction is represented as D, and the execution process of D is represented as E. Then the expression for executing D is:

[0093] D=d i ,i=1,2...,E=e j ,j=1,2...

[0094] Among them, d represents the driving instruction, i represents the i-th instruction, j represents the j-th execution, and e represents the driving execution.

[0095] S42, if the node of the control instruction cannot be completed, the management instruction is replaced by node fitting of the control instruction, the behavior variable of the management instruction at the node is represented by B, and the linear change at the node is represented by C, then the expression of the node driving execution process of the driver is:

[0096]

[0097] Among them, A is the driver execution process of the node to the driver program, and n is the instruction driver execution process.

[0098] S43. By setting the node logic conversion process, delay and deviation of key information in the instruction during transmission and format conversion are avoided. The expression of the node logic conversion process is as follows:

[0099]

[0100] Among them, S is the node logic conversion process, and s is the IoT node sampling delay.

[0101] In the application of IoT technology, control instructions are used to directly operate or control the specific actions or states of teaching equipment, such as turning on or off multimedia devices. Management instructions focus more on the configuration, monitoring and maintenance of devices or systems, such as updating device firmware, configuring network settings, etc. There are many transmission nodes in the IoT. When some nodes cannot complete control instructions, that is, some logical instructions cannot be completed, management instructions are replaced by node fitting of instructions. In order to ensure the stability and reliability of the system, the instructions are adjusted through node fitting technology to adapt to the execution capabilities of the nodes, that is, the instructions are appropriately adjusted and optimized on the IoT nodes to adapt to the nodes that cannot complete the control instructions, so as to achieve effective management of the nodes. The purpose of this method is to avoid delays and deviations in the transmission and format conversion process of instructions, thereby bypassing those nodes that cannot execute the original instructions and ensuring that the instructions can be executed accurately.

[0102] The user terminal is used to centrally manage the operation status of each node. The user terminal includes:

[0103] The device management unit is used to process the request data of the device request unit and the device maintenance unit, and manage the node based on the information fed back by the data processing center obtained according to the request data.

[0104] The device request unit is used to send a device use application to the device management unit.

[0105] The equipment maintenance unit is used to send equipment maintenance applications to the equipment management unit.

[0106] The user end provides a centralized platform that can display the operating status of each node in real time. The teaching equipment administrator can manage all nodes through the equipment management unit, so that the administrator can timely understand the overall status of the teaching equipment, and quickly respond to the user and maintenance personnel's requests and maintenance needs for teaching equipment through the equipment request unit and equipment maintenance unit respectively, simplifying the management process and improving management efficiency. The user end is designed with an intuitive user interface, so that administrators can easily manage equipment even without professional technical background.

[0107] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A teaching equipment management system based on remote control of the Internet of Things, characterized in that: The system comprises: A data monitoring module is used to monitor the operating status of each node and convert the operating status of each node into a digital signal and send it to the data processing center through the data transmission module. The nodes are various teaching devices in the classroom; The data transmission module is used to receive data information transmitted by the data monitoring module, the data processing center and the user end, and process the received data information and send it to the data processing center, the user end and the device control module respectively; The data processing center is used to perform calculations and processing on the data transmitted by the data monitoring module; The device control module is used to execute the control instructions issued by the user end; The user side is used to centrally manage the operating status of each node.

2. According to claim 1, the teaching equipment management system based on remote control of the Internet of Things is characterized in that: The data monitoring module includes several acquisition units and data conversion units, and the acquisition units are data-connected with the data conversion units. Each classroom includes at least one acquisition unit and data conversion unit. The acquisition unit is used to collect the operating status of each node in the classroom, and the data conversion unit is used to convert the operating status of the node into a digital signal.

3. According to the teaching equipment management system based on Internet of Things remote control according to claim 1, it is characterized in that: Said number Data transmission module include: The first data transceiver unit is used to read the digital signal transmitted by the data monitoring module, and encrypt and package the digital signal and send it to the data processing center in real time by wireless transmission; A second data transceiver unit is used to receive the analysis data transmitted by the data processing center and send the analysis data to the user end; The third data transceiver unit is used to receive the decision instruction from the user end and transmit the decision instruction to the device control module in real time.

4. According to claim 3, the teaching equipment management system based on remote control of the Internet of Things is characterized in that: Encrypting and packaging the digital signal specifically includes: S11, segmenting the digital signal to obtain segmented digital signals, and randomly extracting the segmented digital signals to obtain a first random digital signal; S12, performing bit operation according to the segmented digital signal, the first random digital signal and the encryption key to obtain a first ciphertext digital signal; S13, performing a bit operation on the encryption key and the first random digital signal to obtain a second random digital signal; S14, inserting the second random digital signal into the first ciphertext digital signal to obtain a second ciphertext digital signal; S15, performing a bit inversion operation on the second ciphertext digital signal to obtain an encrypted segmented digital signal; S16, adding a frame header, the length of the segmented digital signal and the length of the encrypted segmented digital signal before the encrypted segmented digital signal, and adding a frame tail after the encrypted segmented digital signal for packaging to obtain a packaged encrypted segmented digital signal.

5. According to claim 4, the teaching equipment management system based on remote control of the Internet of Things is characterized in that: The data processing center includes: A data receiving unit, used for receiving the data sent by the first data transceiver unit, determining whether the received data needs to be further processed, and if so, allocating the data to the data processing unit, otherwise allocating the data to the storage unit for storage; A data processing unit, used for analyzing and processing the segmented digital signal, obtaining the device analysis data and storing it in the data storage unit; A data storage unit, used for storing data of the data receiving unit and the data processing unit respectively; The data sending unit is used to receive the query instruction of the user end, retrieve the storage data of the corresponding data storage unit, and send the retrieved data to the user end through the data transmission module.

6. According to claim 5, the teaching equipment management system based on remote control of the Internet of Things is characterized in that: Decrypting and unpacking the data specifically includes: S21, obtaining an encryption key, performing a bit reversal operation on the packaged encrypted segmented digital signal, and obtaining a fourth ciphertext digital signal; S22, extracting a second random digital signal from the fourth ciphertext digital signal to obtain a fifth ciphertext digital signal; S23, performing a bit operation on the second random digital signal and the encryption key to obtain a first random digital signal; S24. Perform a bit operation according to the fifth ciphertext digital signal, the first random digital signal and the encryption key to obtain the original segmented digital signal.

7. The teaching equipment management system based on remote control of the Internet of Things according to claim 3 is characterized in that: Transmit decision instructions to the equipment control module in real time, including: S31, when receiving a decision instruction transmission request, performing quality analysis on the transmission signal to identify whether the transmission signal has insufficient transmission quality during the transmission process; S32, if yes, input the phase error information and background noise intensity information of the transmission signal into a pre-trained machine learning model to obtain transmission quality analysis data, if no, directly transmit to the device control module; S33, comparing the transmission quality analysis data with a preset transmission quality threshold to obtain a feedback signal, if the transmission quality analysis data is greater than or equal to the transmission quality threshold, it is classified as a positive feedback transmission signal, if the transmission quality analysis data is less than the transmission quality threshold, it is classified as a negative feedback transmission signal; S34. If the feedback signal is a negative feedback signal, it is necessary to retransmit and repeat steps S21 to S23 until the decision instruction is transmitted to the device control module.

8. The teaching equipment management system based on remote control of the Internet of Things according to claim 1 is characterized in that: The device control module executes the control instructions issued by the user terminal, specifically including: S41. The control instruction is represented as D, and the execution process of D is represented as E. Then the expression for executing D is: D=d i ,i=1,2...,E=e j ,j=1,2... Wherein, d represents the driving instruction, i represents the i-th instruction, j represents the j-th execution, and e represents the driving execution; S42, if the node of the control instruction cannot be completed, the management instruction is replaced by node fitting of the control instruction, the behavior variable of the management instruction at the node is represented by B, and the linear change at the node is represented by C, then the expression of the node driving execution process of the driver is: Among them, A is the driver execution process of the node to the driver, and n is the instruction driver execution process; S43. By setting the node logic conversion process, delay and deviation of key information in the instruction during transmission and format conversion are avoided. The expression of the node logic conversion process is as follows: Among them, S is the node logic conversion process, and s is the IoT node sampling delay.

9. The teaching equipment management system based on remote control of the Internet of Things according to claim 1 is characterized in that: The user terminal comprises: The device management unit is used to process the request data of the device request unit and the device maintenance unit, and manage the node according to the information fed back by the data processing center obtained from the request data; A device request unit, used to send a device use application to the device management unit; The equipment maintenance unit is used to send equipment maintenance applications to the equipment management unit.

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