College international overseas student accommodation management system and method

Abstract

The invention discloses a college international overseas student accommodation management system and method, and relates to the field of signal analysis management, and the system comprises an identity recognition sequence sending module, an identity recognition sequence receiving module, an identity recognition sequence feedback module and an identity recognition sequence analysis module. The optimal communication frequency band is selected through performance detection, and secondary detection is performed according to the error code diagnosis result, so that a more appropriate frequency band is selected again, and the flexibility and robustness of the system are enhanced. The data analysis and recognition accuracy is improved through error code diagnosis, the transmission frequency band is automatically adjusted, error codes are automatically repaired, recognition failures are reduced, and the experience of overseas students is improved. And the system calculates an error code repair pointing coefficient, automatically selects an optimal repair strategy, performs graded repair according to the severity of error codes, and optimizes resource use. According to the method, effective repair under different error rates is ensured, and resource waste is avoided.

Description

Technical Field

[0001] The present invention relates to the field of signal analysis and management, and specifically to a housing management system and method for international students in colleges and universities. Background Art

[0002] With the advancement of globalization and the increasing depth of international academic exchanges, more and more colleges and universities have attracted a large number of international students. However, the accommodation management of international students faces many challenges in terms of language and living habits, and the traditional accommodation management method can no longer meet the needs. In order to improve the convenience of international students in learning and living, a more efficient accommodation management system is needed.

[0003] The prior art, such as the invention patent with the publication number: CN118504829B, is a whole-life cycle operation and maintenance management system for houses, belonging to the field of information management technology. The maintenance module of the whole-life cycle operation and maintenance management system for houses is used to perform the following steps: based on the two-dimensional design drawing and panoramic image of the house, establish a three-dimensional model of the house; perform finite element analysis based on the three-dimensional model of the house to obtain multiple regions where the stress of the house is greater than the stress threshold, denoted as weak regions; obtain the building materials and their proportions in the weak regions; obtain the through ultrasonic signals in the weak regions, and perform preprocessing of noise reduction, filtering and enhancement on the through ultrasonic signals to obtain preprocessed signals; extract the feature matrix of the preprocessed signals, and fuse it with the material vector to form a fusion matrix; use the pre-trained ultrasonic signal stability model, input the fusion matrix, and obtain the stability index of the weak regions; if the stability index is lower than the stability index threshold, output a maintenance reminder to the user, achieving the effect of non-destructive monitoring and high-precision evaluation.

[0004] The prior art, such as the invention patent with the publication number: CN115796668B, is a signal quality management system for control cables, including a control cable detection terminal, a quality analysis terminal and a management terminal; the control cable is used to connect between the control end and the controlled end; the control cable detection terminal is used to detect the output signals of all control ends and the received signals of all controlled ends in a preset area; the quality analysis terminal is used to analyze all paired output signals and received signals to judge the signal quality of the corresponding control cable and generate signal quality information; the management terminal is used to generate management prompt information according to the signal quality information of all control cables.

[0005] Based on the above technical solutions, it can be seen that in the field of signal analysis and management technology, the prior art often focuses on the quality analysis and repair of signals themselves. However, in the process of signal transmission, the selection of transmission frequency bands is also crucial. Different transmission frequency bands will bring different transmission effects. Only performing quality analysis and repair on the signals themselves may consume a large amount of computing power and reduce the transmission efficiency in practical applications. Therefore, it is necessary to comprehensively consider the influence of other factors on signal transmission. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a housing management system and method for international students in colleges and universities. To achieve the above objectives, the present invention is realized through the following technical solutions: A student housing management system and method, including: A student housing management system, including:

[0007] An identity recognition sequence sending module, configured to perform a first performance detection on each signal transmission frequency band in the target environment through a student terminal, and select a signal transmission frequency band based on the first performance detection value to send the student's identity recognition sequence to the target usage device terminal, where the student is preferably an international student;

[0008] An identity recognition sequence receiving module, configured to perform error code diagnosis on the identity recognition sequence after the target usage device terminal receives the identity recognition sequence, and obtain the error code diagnosis result of the identity recognition sequence;

[0009] An identity recognition sequence feedback module, configured to determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment based on the error code diagnosis result of the identity recognition sequence. If so, reselect a signal transmission frequency band to send the international student's identity recognition sequence to the target usage device terminal again, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result;

[0010] An identity recognition sequence parsing module, configured to repair the identity recognition sequence with a qualified error code diagnosis result, the target usage device terminal decodes the repaired identity recognition sequence, and performs identity recognition of the corresponding result based on the decoding result.

[0011] As a preferred technical solution, the process of performing the first performance detection on each signal transmission frequency band in the target environment through the international student terminal is as follows:

[0012] Record the matching range area of the target usage device signal receiver as the target environment. When an international student enters the target environment, the international student terminal automatically pops up a device selection request. The international student terminal receives the device selection request, and the international student terminal scans each signal transmission frequency band in the target environment to obtain the real-time communication parameters of each signal transmission frequency band in the target environment.

[0013] The international student terminal retrieves the historical communication parameters of each signal transmission frequency band in the target environment.

[0014] Perform mean processing on the real-time communication parameters of each signal transmission frequency band in the target environment to obtain the real-time average communication parameters of the signal transmission frequency band in the target environment, and obtain the deviation value between the real-time communication parameters and the real-time average communication parameters of each signal transmission frequency band in the target environment. Through the introduction of a weight factor for coupled association processing, obtain the real-time communication performance detection value of each signal transmission frequency band.

[0015] Compare the historical communication verification parameters extracted from the database built into the international student terminal with the historical communication parameters of each signal transmission frequency band in the target environment, obtain the deviation value between the historical communication parameters and the historical communication verification parameters of each signal transmission frequency band in the target environment, and through the introduction of a weight factor, perform correction and coupling processing on the deviation value between the historical communication parameters and the historical communication verification parameters one by one to obtain the historical communication performance detection value of each signal transmission frequency band.

[0016] Based on the real-time communication performance detection value and the historical communication performance detection value of each signal transmission frequency band in the target environment, perform coupling processing through an activation function to obtain the first performance detection value of each signal transmission frequency band.

[0017] As a preferred technical solution, the method of selecting a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target use device terminal specifically includes:

[0018] Based on the first performance detection value of each signal transmission frequency band, select the signal transmission frequency band with the highest value as the first signal transmission frequency band of the identity recognition sequence, and send the identity recognition sequence of the international student to the target use device terminal through the first signal transmission frequency band.

[0019] As a preferred technical solution, after the target use device terminal receives the identity recognition sequence, perform error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence, specifically including:

[0020] After the target use device terminal receives the identity recognition sequence of the international student, perform error code diagnosis on the identity recognition sequence of the international student. The specific process is as follows:

[0021] The target use device terminal diagnoses the sequence structure characteristics of the identity recognition sequence of the international student, and determines whether there are errors in the synchronization header, payload, and sequence check code of the identity recognition sequence. If any sequence structure characteristic has an error, the error code diagnosis result is an unqualified sequence.

[0022] If no error occurs in the sequence structure characteristics of the identity recognition sequence, the target use device terminal obtains the error code diagnosis parameters of the identity recognition sequence of the international student, including the bit error rate, frame error rate, signal-to-noise ratio, and signal strength of the identity recognition sequence.

[0023] Extract error code diagnosis verification parameters from the built-in database of the target usage device terminal, including bit error rate verification value, error frame rate verification value, signal-to-noise ratio verification value, and signal strength verification value.

[0024] Based on the error code diagnosis parameters and error code diagnosis verification parameters of the identity recognition sequence of international students, compare them to obtain the deviation value between the error code diagnosis parameters and the error code diagnosis verification parameters. After introducing the weight factor, correct the deviation values of the error code diagnosis parameters and the error code diagnosis verification parameters one by one, and then perform coupling processing to obtain the error code diagnosis value of the identity recognition sequence. Compare it with the error code diagnosis threshold extracted from the built-in database of the target usage device terminal to obtain the error code diagnosis result of the identity recognition sequence.

[0025] The error code diagnosis value of the identity recognition sequence is used to characterize the degree of damage suffered by the identity recognition sequence during transmission.

[0026] As a preferred technical solution, based on the error code diagnosis result of the identity recognition sequence, determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment. Specifically, it includes:

[0027] If the error code diagnosis result of the identity recognition sequence is a qualified sequence, it is determined that the international student terminal does not need to perform a second performance detection on each signal transmission frequency band in the target environment, and repair the identity recognition sequence based on the error code diagnosis value of the identity recognition sequence.

[0028] If the error code diagnosis result of the identity recognition sequence is an unqualified sequence, it is determined that the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment, and the target usage device terminal sends a demand for the second performance detection signal to the international student terminal.

[0029] As a preferred technical solution, re-select the signal transmission frequency band, send the identity recognition sequence of international students to the target usage device terminal again, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result. Specifically, it includes:

[0030] The international student terminal receives the demand for the second performance detection signal, simulates a spectrum analyzer through the built-in wireless communication module, scans each signal transmission frequency band in the target environment again, obtains the real-time communication parameters of each signal transmission frequency band in the target environment, and analyzes again to obtain the real-time communication performance detection value of each signal transmission frequency band.

[0031] Based on the real-time communication performance detection value and the historical communication performance detection value of each signal transmission frequency band in the target environment, analyze and process to obtain the second performance detection value of each signal transmission frequency band.

[0032] After the target usage device terminal receives the identity recognition sequence of the international student again, it performs error code diagnosis on the identity recognition sequence of the international student to obtain the error code diagnosis result of the identity recognition sequence. If the error code diagnosis result of the identity recognition sequence is a qualified sequence, the identity recognition sequence is repaired based on the error code diagnosis value of the identity recognition sequence.

[0033] If the error code diagnosis result of the identity recognition sequence is an unqualified sequence, the identity verification method is switched.

[0034] As a preferred technical solution, the repair of the identity recognition sequence with a qualified error code diagnosis result specifically includes:

[0035] The difference between the error code diagnosis value of the identity recognition sequence and the error code diagnosis threshold is processed to obtain the error code repair pointing coefficient of the identity recognition sequence. Based on the error code repair pointing coefficient of the identity recognition sequence, it is mapped and matched with the sequence repair factors corresponding to each error code repair pointing coefficient in the built-in database of the target usage device terminal to obtain the sequence repair factor of the identity recognition sequence, and the identity recognition sequence is repaired.

[0036] As a preferred technical solution, the target usage device terminal decodes the repaired identity recognition sequence, and the specific processing conditions are:

[0037] The target usage device terminal converts the binary data of the repaired identity recognition sequence into an identity identifier, and compares and matches the identity identifier with the hash values of each identity in the built-in database of the target usage device terminal to obtain the comparison and matching result of the repaired identity recognition sequence.

[0038] As a preferred technical solution, the identity recognition corresponding to the decoding result is performed, and the specific processing conditions are:

[0039] If the comparison and matching result of the repaired identity recognition sequence is a successful match, the decoding result is the identity information corresponding to the hash value of the identity recognition sequence. Based on this identity information, the usage instructions of the target usage device in the corresponding language are extracted and sent to the international student usage terminal.

[0040] If the comparison and matching result of the repaired identity recognition sequence is a failed match, the repaired identity recognition sequence is sent to the cloud processor through the TSL channel to be matched again with the identity verification label in the cloud database. If the match is successful, the decoding result is the identity information corresponding to the identity verification label. Based on this identity information, the usage instructions of the target usage device in the corresponding language are extracted and sent to the international student usage terminal. If the match fails, the identity verification method is switched, and at the same time, an identity recognition error message is sent to the management terminal.

[0041] In addition, a method for managing the accommodation of international students in colleges and universities includes:

[0042] S1. Perform a first performance detection on each signal transmission frequency band in the target environment through the international student terminal, and select a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal.

[0043] S2. After the target usage device terminal receives the identity recognition sequence, perform an error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence.

[0044] S3. Based on the error code diagnosis result of the identity recognition sequence, determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment. If so, reselect a signal transmission frequency band to send the identity recognition sequence of the international student to the target usage device terminal again, and perform an error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result.

[0045] S4. Repair the identity recognition sequence with a qualified error code diagnosis result. The target usage device terminal decodes the repaired identity recognition sequence and performs identity recognition of the corresponding result based on the decoding result.

[0046] Compared with the prior art, the embodiments of the present invention at least have the following beneficial effects:

[0047] (1) The present invention provides a university international student accommodation management system. By performing a performance detection on the signal transmission frequency band in the target environment and selecting the optimal frequency band for communication, the reliability and efficiency of signal transmission are improved. By selecting to trigger the second performance detection of the frequency band based on the error code diagnosis result and reselecting a more suitable signal transmission frequency band, the flexibility and robustness of the system are increased.

[0048] (2) The identity recognition sequence receiving module performs an error code diagnosis on the received sequence, timely discovers errors in the transmission process, improves the efficiency and accuracy of data analysis, and avoids analysis errors caused by a high sequence error rate in subsequent data analysis. By automatically adjusting the transmission frequency band and repairing error codes, the system reduces the identity recognition failure caused by signal problems, thereby improving the experience of international students.

[0049] (3) By calculating the error code repair pointing coefficient, the system automatically selects the most suitable repair strategy according to the actual error code situation instead of using a fixed repair method. The pertinence and efficiency of repair are improved. The repair means are classified, and different repair methods are selected according to the severity of the error code, ensuring effective repair under different error rate conditions. By selecting an appropriate repair method, excessive resources can be avoided being used under unnecessary circumstances, thereby optimizing the use of system resources.

[0050] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. Brief Description of the Drawings

[0051] Figure 1 It is a schematic diagram of the system modules of the present invention.

[0052] Figure 2 It is a schematic diagram of the method flow involved in the embodiment of the present invention. Detailed Embodiment

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "periphery", etc. indicating the orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be construed as a limitation of the present invention.

[0055] Please refer to Figure 1 As shown, the embodiment of the present invention provides a housing management system for international students in colleges and universities, including:

[0056] An identity recognition sequence sending module, configured to perform a first performance detection on each signal transmission frequency band in the target environment through the international student terminal, and select a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal.

[0057] After the international student terminal receives a device selection request and selects a target usage device, the international student terminal performs a first performance detection on each signal transmission frequency band in the target environment. The specific process is as follows:

[0058] Record the matching range of the signal receiver of the target usage device as the target environment. When the international student enters the target environment, the international student terminal automatically pops up a device selection request. After the international student selects the target usage device on the international student terminal, the international student terminal simulates a spectrum analyzer through the built-in wireless communication module, installs a driver program and an application programming interface (API) for the wireless communication module, scans each signal transmission frequency band in the target environment, and obtains the real-time communication parameters of each signal transmission frequency band in the target environment.

[0059] At the same time, the international student terminal retrieves the historical communication parameters of each signal transmission frequency band in the target environment from the network record log.

[0060] The real-time communication parameters of each signal transmission frequency band in the target environment include real-time bandwidth, real-time latency, and real-time noise level.

[0061] It should be noted that real-time bandwidth refers to the ability of a signal transmission frequency band to transmit data within a specific time, quantified in bits per second (bps). Real-time bandwidth determines the amount of data that can be transmitted within a given time. By monitoring the real-time bandwidth, the performance of the signal transmission frequency band can be evaluated.

[0062] Real-time latency refers to the time required for data to travel from the sender to the receiver, usually measured in milliseconds (ms).

[0063] Real-time noise level refers to the intensity of background noise present during signal transmission, usually measured in decibels (dB). The noise level affects the clarity and reliability of the signal. A high noise level may result in data transmission errors.

[0064] The real-time communication parameters of each signal transmission frequency band in the target environment are averaged to obtain the real-time average communication parameters of each signal transmission frequency band in the target environment, including real-time average bandwidth, real-time average latency, and real-time average noise level. The deviation values between the real-time communication parameters and the real-time average communication parameters of each signal transmission frequency band in the target environment are obtained, and through the introduction of weight factors for coupled correlation processing, the real-time communication performance detection values of each signal transmission frequency band are obtained, specifically including:

[0065]

[0066] Where, PD i is the real-time communication performance detection value of the i-th signal transmission frequency band, Bandwidth i is the real-time bandwidth of the i-th signal transmission frequency band, Latency i is the real-time latency of the i-th signal transmission frequency band, NL i is the real-time noise level of the i-th signal transmission frequency band, is the real-time average bandwidth, is the real-time average latency, is the real-time average noise level, ω1 is the bandwidth weight factor, ω2 is the latency weight factor, ω3 is the noise level weight factor, i is the signal transmission frequency band number, i = 1, 2, 3,..., N, and N is the total number of signal transmission frequency bands.

[0067] It should be noted that the bandwidth weight factor, delay weight factor, and noise level weight factor all have a value range between 0 and 1, and satisfy ω1 + ω2 + ω3 = 1. The bandwidth weight factor is the influence factor of the pre-stored bandwidth in the built-in database of the overseas student terminal, indicating the degree of influence of the bandwidth on the real-time communication performance detection value of each signal transmission frequency band; the delay weight factor is the influence factor of the pre-stored delay in the built-in database of the overseas student terminal, indicating the degree of influence of the delay on the real-time communication performance detection value of each signal transmission frequency band; the noise level weight factor is the influence factor of the pre-stored noise level in the built-in database of the overseas student terminal, indicating the degree of influence of the noise level on the real-time communication performance detection value of each signal transmission frequency band. When used, it is directly extracted from the built-in database of the overseas student terminal. For example, after inputting the bandwidth, delay, and noise level of a certain signal transmission frequency band into the preset mapping set in the built-in database of the overseas student terminal, the bandwidth weight factor, delay weight factor, and noise level weight factor of each signal transmission frequency band are obtained, and their corresponding mapping relationships are one-to-one.

[0068] It also should be noted that there is a certain correlation among the three parameters of real-time bandwidth, real-time delay, and real-time noise level, which specifically includes: The relationship between real-time bandwidth and real-time noise level can be reflected by the signal-to-noise ratio. The signal-to-noise ratio is the ratio of signal power to noise power. The higher the signal-to-noise ratio, the better the signal quality, and the communication link can support a higher bandwidth. On the contrary, if the noise level is too high, it will reduce the signal-to-noise ratio, thereby limiting the available bandwidth. An increase in the noise level will lead to an increase in the bit error rate, which will reduce the effective bandwidth. In the case of limited bandwidth, data may queue up during transmission, which will increase the delay. On the contrary, if the bandwidth is sufficient, data can be transmitted faster, reducing the delay. A high noise level may cause signal transmission errors, which will trigger the retransmission mechanism.

[0069] The historical communication parameters of each signal transmission frequency band in the target environment include historical communication success rate, historical average delay, and historical average noise level.

[0070] The historical communication verification parameters extracted from the built-in database of the overseas student terminal, including: historical communication success rate verification value, historical average delay verification value, and historical average noise level verification value, are compared with the historical communication parameters of each signal transmission frequency band in the target environment to obtain the deviation value between the historical communication parameters and the historical communication verification parameters of each signal transmission frequency band in the target environment. By introducing weight factors, the deviation values between the historical communication parameters and the historical communication verification parameters are corrected one by one and then coupled to obtain the historical communication performance detection value of each signal transmission frequency band, which specifically includes:

[0071]

[0072] Among them, LSPD iis the historical communication performance detection value of the i-th signal transmission frequency band, Cgl i is the historical communication success rate of the i-th signal transmission frequency band, is the historical average delay of the i-th signal transmission frequency band, is the historical average noise level of the i-th signal transmission frequency band, Cgl0 is the historical communication success rate verification value, Latency0 is the historical average delay verification value, NL0 is the historical average noise level verification value, is the communication success rate weight factor, is the historical average delay weight factor, is the historical average noise level weight factor, i is the signal transmission frequency band number, i = 1, 2, 3,..., N, N is the total number of signal transmission frequency bands.

[0073] It should be noted that the communication success rate weight factor, the historical average delay weight factor, and the historical average noise level weight factor all have a value range between 0 and 1 and satisfy The communication success rate weight factor is the influencing factor of the pre-stored communication success rate in the built-in database of the international student terminal, indicating the degree of influence of the communication success rate on the historical communication performance detection value of each signal transmission frequency band; the historical average delay weight factor is the influencing factor of the pre-stored historical average delay in the built-in database of the international student terminal, indicating the degree of influence of the historical average delay on the historical communication performance detection value of each signal transmission frequency band; the historical average noise level weight factor is the influencing factor of the pre-stored historical average noise level in the built-in database of the international student terminal, indicating the degree of influence of the historical average noise level on the historical communication performance detection value of each signal transmission frequency band. When used, it is directly extracted from the built-in database of the international student terminal. For example, after inputting the historical communication success rate, historical average delay, and historical average noise level of a certain signal transmission frequency band into the preset mapping set in the built-in database of the international student terminal, the communication success rate weight factor, historical average delay weight factor, and historical average noise level weight factor of each signal transmission frequency band are obtained, and their corresponding mapping relationships are one-to-one.

[0074] Based on the real-time communication performance detection value and historical communication performance detection value of each signal transmission frequency band in the target environment, the first performance detection value of each signal transmission frequency band is obtained through coupling processing by an activation function.

[0075]

[0076] Among them, N1 i is the first performance detection value of the i-th signal transmission frequency band, PD i is the real-time communication performance detection value of the i-th signal transmission frequency band, LSPD iIt is the historical communication performance detection value of the i-th signal transmission frequency band, where i is the signal transmission frequency band number, i = 1, 2, 3,..., N, and N is the total number of signal transmission frequency bands.

[0077] The method of selecting a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal specifically includes:

[0078] The first performance detection values of each signal transmission frequency band are used to select the signal transmission frequency band with the fastest transmission speed. Therefore, in the embodiments of the present invention, the weight factor of the parameter affecting the transmission speed in the calculated real-time communication performance detection value and the historical communication performance detection value is increased.

[0079] Based on the first performance detection values of each signal transmission frequency band, the signal transmission frequency band with the highest value is selected as the first signal transmission frequency band of the identity recognition sequence, and the identity recognition sequence of the international student is sent to the target usage device terminal through the first signal transmission frequency band.

[0080] The identity recognition sequence receiving module is used to perform error code diagnosis on the identity recognition sequence after the target usage device terminal receives the identity recognition sequence, and obtain the error code diagnosis result of the identity recognition sequence.

[0081] After the target usage device terminal receives the identity recognition sequence, performing error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence specifically includes:

[0082] After the target usage device terminal receives the identity recognition sequence of the international student, performing error code diagnosis on the identity recognition sequence of the international student. The specific process is as follows:

[0083] The target usage device terminal diagnoses the sequence structure characteristics of the identity recognition sequence of the international student, and determines whether there are errors in the synchronization header, payload, and sequence check code of the identity recognition sequence. If any sequence structure characteristic has an error, the error code diagnosis result is an unqualified sequence.

[0084] It should be noted that the synchronization header is a specific bit sequence located at the beginning of the data frame, which is used to help the receiving device identify and synchronize the data stream. The synchronization header enables the receiving device to synchronize with the clock of the sending device, ensuring that the data can be correctly received and parsed. The synchronization header helps the receiving device determine the starting position of the data frame, so as to correctly divide and extract each data frame. Searching for the predefined synchronization header at the receiving end and identifying whether there are errors specifically includes:

[0085] Store the received data stream in the buffer of the target usage device terminal, continuously monitor the input data stream, store the received bits or bytes in the buffer, and move a sliding window with the same sequence length as the synchronization header in the receive buffer. Each time the sliding window moves, compare the sequence within the window with the predefined synchronization header sequence. Once a matching sequence is found, the target usage device terminal confirms successful synchronization and prepares to receive the subsequent payload data.

[0086] The payload refers to the actual information or data part carried in the data frame, which usually contains information related to the identification of international students. The payload is the core part of data transmission and contains the key information to be transmitted. During the identification process, the payload includes the identity identifier, permission level, authentication information, etc. of international students, which are the key data for identity verification. Before sending, a CRC code is appended after the payload. The target usage device terminal calculates the CRC code and compares it with the received CRC code.

[0087] The sequence check code is a bit sequence appended at the end of the data frame, usually calculated by an algorithm (such as cyclic redundancy check CRC) and used to detect whether errors occur during data transmission. The sequence check code allows the receiving device to detect whether the data has been tampered with or damaged during transmission. Before sending, a CRC code is appended at the end of the data frame. The target usage device terminal calculates the CRC code and compares it with the received CRC code.

[0088] If the synchronization header is incorrect, the receiving device may not be able to correctly parse the data frame, resulting in the entire frame being misprocessed or discarded. Any error in the payload may lead to failed identification or incorrect authentication. If the check code does not match, it indicates that errors may have occurred during data transmission.

[0089] If there are no errors in the sequence structure features of the identity recognition sequence, the target usage device terminal obtains the error code diagnosis parameters of the identity recognition sequence of international students, including the bit error rate, frame error rate, signal-to-noise ratio, and signal strength of the identity recognition sequence.

[0090] By decoding the transmitted identity recognition sequence and comparing it with the original transmitted sequence, count the number of bits in error to obtain the bit error rate of the identity recognition sequence.

[0091] Use CRC to check each frame, count the number of frames with check errors during reception, and calculate the ratio of the number of received error frames to the total number of frames to obtain the frame error rate of the identity recognition sequence.

[0092] Use the built-in spectrum analysis software to measure the signal power of the received identity recognition sequence, and at the same time calculate the power of the background noise to obtain the ratio of the signal power to the noise power, and obtain the signal-to-noise ratio of the identity recognition sequence.

[0093] Obtain the signal strength of the identity recognition sequence based on the signal power of the identity recognition sequence.

[0094] It should be noted that the bit error rate refers to the ratio of the number of error bits to the total number of bits during data transmission within a certain period of time. It is usually expressed in decimal. For example, 10^-6 means one bit error per million bits.

[0095] The bit error rate is a key indicator for measuring communication quality. A low bit error rate means high communication quality, while a high bit error rate indicates poor communication quality.

[0096] The frame error rate refers to the ratio of the number of received error frames to the total number of frames within a certain period of time. A frame is the basic unit of data transmission and usually contains multiple bits. The frame error rate reflects the integrity of data transmission. A high frame error rate means that data packets are frequently lost or damaged during transmission.

[0097] The signal-to-noise ratio is the ratio of the signal power to the noise power, usually expressed in decibels (dB). A high signal-to-noise ratio means that the signal is stronger than the noise and the communication is more reliable. A low signal-to-noise ratio may lead to a higher bit error rate.

[0098] The signal strength refers to the received signal power level, expressed in decibels milliwatt (dBm).

[0099] The signal strength can reflect the communication quality. A strong signal usually means better communication performance.

[0100] Extract the bit error diagnosis verification parameters from the built-in database of the target user device terminal, including the bit error rate verification value, the frame error rate verification value, the signal-to-noise ratio verification value, and the signal strength verification value.

[0101] Based on the bit error diagnosis parameters and the bit error diagnosis verification parameters of the identity recognition sequence of international students, compare them to obtain the deviation values of the bit error diagnosis parameters and the bit error diagnosis verification parameters. After introducing the weight factor, correct the deviation values of the bit error diagnosis parameters and the bit error diagnosis verification parameters one by one and then perform coupling processing to obtain the bit error diagnosis value of the identity recognition sequence, and compare it with the bit error diagnosis threshold extracted from the built-in database of the target user device terminal to obtain the bit error diagnosis result of the identity recognition sequence, specifically including:

[0102]

[0103] Wherein, WM is the error diagnosis value of the identity recognition sequence, BER is the bit error rate of the identity recognition sequence, FER is the frame error rate of the identity recognition sequence, SNR is the signal-to-noise ratio of the identity recognition sequence, SS is the signal strength of the identity recognition sequence, BER0 is the bit error rate verification value, FER0 is the frame error rate verification value, SNR0 is the signal-to-noise ratio verification value, SS0 is the signal strength verification value, α1 is the bit error rate weight factor, α2 is the frame error rate weight factor, α3 is the signal-to-noise ratio weight factor, and α4 is the signal strength weight factor.

[0104] It should be noted that the value ranges of the bit error rate weight factor, the frame error rate weight factor, the signal-to-noise ratio weight factor, and the signal strength weight factor are all between 0 and 1, and satisfy α1 + α2 + α3 + α4 = 1. The bit error rate weight factor is the influencing factor of the pre-stored bit error rate in the built-in database of the target usage device terminal, indicating the degree of influence of the bit error rate on the error diagnosis value of the identity recognition sequence; the frame error rate weight factor is the influencing factor of the pre-stored frame error rate in the built-in database of the target usage device terminal, indicating the degree of influence of the frame error rate on the error diagnosis value of the identity recognition sequence; the signal-to-noise ratio weight factor is the influencing factor of the pre-stored signal-to-noise ratio in the built-in database of the target usage device terminal, indicating the degree of influence of the signal-to-noise ratio on the error diagnosis value of the identity recognition sequence; the signal strength weight factor is the influencing factor of the pre-stored signal strength in the built-in database of the target usage device terminal, indicating the degree of influence of the signal strength on the error diagnosis value of the identity recognition sequence. When in use, it is directly extracted from the built-in database of the target usage device terminal. For example, after inputting the bit error rate, frame error rate, signal-to-noise ratio, and signal strength of the identity recognition sequence into the preset mapping set in the built-in database of the target usage device terminal, the bit error rate weight factor, frame error rate weight factor, signal-to-noise ratio weight factor, and signal strength weight factor of the identity recognition sequence are obtained, and their corresponding mapping relationships are one-to-one.

[0105] It should also be noted that there is a certain correlation among the parameters of the error rate, error frame rate, signal-to-noise ratio, and signal strength of the identity recognition sequence. The error rate refers to the ratio of the number of error bits to the total number of bits in data transmission. The error frame rate refers to the ratio of the number of error frames to the total number of frames in data transmission. When one or more bits in a data frame are in error, it may cause the entire frame to be in error. Therefore, when the error rate is relatively high, the error frame rate is usually also relatively high. The error frame rate is the manifestation of the error rate at the frame level. The signal-to-noise ratio is the ratio of the signal power to the noise power, which directly affects the error rate of the communication link. A higher signal-to-noise ratio means better signal quality and usually a lower error rate; while a lower signal-to-noise ratio means poorer signal quality and usually a higher error rate. The signal strength refers to the received signal power level. The stronger the signal strength, usually the higher the signal-to-noise ratio, because the signal power is higher relative to the noise power. There is a proportional relationship between the signal strength and the signal-to-noise ratio. When the signal strength increases, the signal-to-noise ratio usually also increases, which helps to reduce the error rate. When the signal strength is strong, the signal is less affected by interference and attenuation during transmission, so the error rate is usually low. On the contrary, when the signal strength is weak, the signal is more easily affected by noise, resulting in an increase in the error rate.

[0106] The identity recognition sequence feedback module is used to determine whether the overseas student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment based on the error diagnosis result of the identity recognition sequence. If necessary, it reselects the signal transmission frequency band to resend the identity recognition sequence of the overseas student to the target use device terminal, and performs an error diagnosis on the identity recognition sequence again to obtain the error diagnosis result.

[0107] Based on the error diagnosis result of the identity recognition sequence, determining whether the overseas student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment specifically includes:

[0108] The error diagnosis result of the identity recognition sequence includes a qualified sequence and an unqualified sequence.

[0109] If the error diagnosis value of the identity recognition sequence is less than or equal to the error diagnosis threshold, the error diagnosis result of the identity recognition sequence is a qualified sequence, then it is determined that the overseas student terminal does not need to perform a second performance detection on each signal transmission frequency band in the target environment, and the identity recognition sequence is repaired based on the error diagnosis value of the identity recognition sequence.

[0110] If the error diagnosis value of the identity recognition sequence is greater than the error diagnosis threshold, the error diagnosis result of the identity recognition sequence is an unqualified sequence, then it is determined that the overseas student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment, and the target use device terminal sends a signal requesting a second performance detection to the overseas student terminal.

[0111] The reselected signal transmission frequency band resends the identity recognition sequence of the international student to the target device terminal, and performs error code diagnosis on the identity recognition sequence, specifically including:

[0112] The international student terminal receives the demand for the second performance detection signal, and through the built-in wireless communication module simulating a spectrum analyzer, scans each signal transmission frequency band in the target environment again to obtain the real-time communication parameters of each signal transmission frequency band in the target environment.

[0113] Perform mean processing on the real-time communication parameters of each signal transmission frequency band in the target environment to obtain the real-time average communication parameters of each signal transmission frequency band in the target environment again, including real-time average bandwidth, real-time average delay, and real-time average noise level, and obtain the deviation value between the real-time communication parameters and the real-time average communication parameters of each signal transmission frequency band in the target environment. Through introducing a weight factor for coupled correlation processing, obtain the real-time communication performance detection value of each signal transmission frequency band.

[0114] Based on the real-time communication performance detection values and historical communication performance detection values of each signal transmission frequency band in the target environment, analyze and process to obtain the second performance detection value of each signal transmission frequency band, and its calculation method is the same as that of the first performance detection value.

[0115] It should be noted that the second performance detection value of each signal transmission frequency band is used to select the signal transmission frequency band with the least interference during transmission. Therefore, in the embodiment of the present invention, the weight factor of the parameter related to the noise level in the real-time communication performance detection value and the historical communication performance detection value is up-regulated.

[0116] After the target device terminal receives the identity recognition sequence of the international student again, perform error code diagnosis on the identity recognition sequence of the international student, compare it with the error code diagnosis threshold to obtain the error code diagnosis result of the identity recognition sequence. If the error code diagnosis result of the identity recognition sequence is a qualified sequence, repair the identity recognition sequence based on the error code diagnosis value of the identity recognition sequence.

[0117] If the error code diagnosis result of the identity recognition sequence is an unqualified sequence, switch the identity verification method.

[0118] It should be noted that in the embodiment of the present invention, switching the identity verification method specifically includes:

[0119] The target device terminal sends a manual identity verification request to the international student terminal, and the international student manually uploads identity verification information for identity verification.

[0120] The identity recognition sequence parsing module is used to repair the identity recognition sequence with a qualified error code diagnosis result. The target device terminal decodes the repaired identity recognition sequence and performs identity recognition of the corresponding result based on the decoding result.

[0121] Repairing the identity recognition sequence with a qualified error code diagnosis result specifically includes:

[0122] Taking the difference between the error code diagnosis value of the identity recognition sequence and the error code diagnosis threshold to obtain the error code repair pointing coefficient of the identity recognition sequence. Based on the error code repair pointing coefficient of the identity recognition sequence, mapping and matching with the sequence repair factors corresponding to each error code repair pointing coefficient in the built-in database of the target usage device terminal to obtain the sequence repair factor of the identity recognition sequence, and repairing the identity recognition sequence.

[0123] It should be noted that repairing the identity recognition sequence specifically includes:

[0124] The sequence repair factors of the identity recognition sequence include mild repair factors, moderate repair factors, and high repair factors.

[0125] The repair method corresponding to the mild repair factor is single-bit error correction.

[0126] The repair method corresponding to the moderate repair factor is RS(255, 223) decoding.

[0127] The repair method corresponding to the high repair factor is LDPC iterative decoding.

[0128] Single-bit error correction is a simple error repair method that can detect and correct single-bit errors. This repair method is usually achieved by adding additional check bits, such as using parity bits or more complex Hamming codes. When a single-bit error is detected, the system can determine the location of the error and correct it.

[0129] RS(255, 223) is a Reed-Solomon code, which is a powerful linear error correction code. In this coding scheme, the original data (223 bits) is extended to a 255-bit codeword, where 32 bits are redundant check bits. These check bits enable the receiving end to correct multiple simultaneous errors. RS(255, 223) can correct up to 16 random errors, or fewer burst errors.

[0130] LDPC iterative decoding is an advanced error correction code, which is implemented through a low-density parity-check matrix. In the iterative decoding process, the LDPC code uses a probability decoding algorithm (such as the belief propagation algorithm) to gradually approach the correct codeword. It can handle environments with high error rates. Through the iterative process, a large number of random errors can be corrected.

[0131] The target usage device terminal decodes the repaired identity recognition sequence, and the specific processing conditions are:

[0132] The target usage device terminal converts the binary data of the repaired identity recognition sequence into an identity identifier, and compares and matches the identity identifier with the hash values of each identity in the built-in database of the target usage device terminal to obtain the comparison and matching result of the repaired identity recognition sequence.

[0133] The conversion of the binary data of the repaired identity recognition sequence into an identity identifier specifically includes: splitting the binary data of the repaired identity recognition sequence according to a predefined protocol (such as the TLV format). After extracting the core identity field (such as the Value segment), the identity identifier is structured, and in the embodiment of the present invention, it is in the form of a UUID string as the identity identifier.

[0134] The identity recognition of the corresponding result based on the decoding result, the specific processing conditions are:

[0135] If the comparison and matching result of the repaired identity recognition sequence is a successful match, the decoding result is the identity information corresponding to the hash value, and the usage instructions of the target usage device in the corresponding language are extracted based on this identity information and sent to the international student usage terminal.

[0136] If the comparison and matching result of the repaired identity recognition sequence is a failed match, the repaired identity recognition sequence is sent to the cloud processor through the TSL channel to be matched again with the identity verification tag in the cloud database. If the matching result is a successful match, the decoding result is the identity information corresponding to the identity verification tag, and the usage instructions of the target usage device in the corresponding language are extracted based on this identity information and sent to the international student usage terminal. If the matching result is a failure, the identity verification method is switched, and at the same time, an identity recognition error message is sent to the management terminal.

[0137] The usage instructions of the target usage device in the corresponding language. In the embodiment of the present invention, the built-in database of the target usage device terminal stores usage instructions in multiple languages.

[0138] It should be noted that the hash value is a data digest with a fixed length, usually calculated through a hash function, and is used for quick search and comparison.

[0139] The TSL channel is a security protocol used to provide encrypted communication on the Internet to ensure the security of data transmission.

[0140] In this embodiment, the present invention provides a method for managing the accommodation of international students in colleges and universities, including:

[0141] S1. Perform a first performance detection on each signal transmission frequency band in the target environment through the international student terminal, and select a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal.

[0142] S2. After the target usage device terminal receives the identity recognition sequence, perform error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence.

[0143] S3. Based on the error code diagnosis result of the identity recognition sequence, determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment. If so, reselect the signal transmission frequency band, resend the identity recognition sequence of the international student to the target usage device terminal, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result.

[0144] S4. Repair the identity recognition sequence with a qualified error code diagnosis result. The target usage device terminal decodes the repaired identity recognition sequence and performs identity recognition of the corresponding result based on the decoding result.

[0145] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0146] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. As long as it does not deviate from the structure of the present invention or exceed the scope defined by the present invention, it should fall within the protection scope of the present invention.

Claims

1. An accommodation management system for international students in colleges and universities, characterized in that, Including: An identity recognition sequence sending module, which is used to perform a first performance detection on each signal transmission frequency band in the target environment through the international student terminal, and select a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal; An identity recognition sequence receiving module, which is used to perform error code diagnosis on the identity recognition sequence after the target usage device terminal receives the identity recognition sequence, and obtain the error code diagnosis result of the identity recognition sequence; An identity recognition sequence feedback module, which is used to determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment based on the error code diagnosis result of the identity recognition sequence. If so, re-select a signal transmission frequency band to send the identity recognition sequence of the international student to the target usage device terminal again, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result; An identity recognition sequence parsing module, which is used to repair the identity recognition sequence with a qualified error code diagnosis result. The target usage device terminal decodes the repaired identity recognition sequence and performs identity recognition of the corresponding result based on the decoding result.

2. The accommodation management system for international students in colleges and universities according to claim 1, characterized in that: The specific process of performing the first performance detection on each signal transmission frequency band in the target environment through the international student terminal is as follows: Denote the matching range area of the signal receiver of the target usage device as the target environment. When an international student enters the target environment, the international student terminal automatically pops up a device selection request. The international student terminal receives the device selection request, and the international student terminal scans each signal transmission frequency band in the target environment to obtain the real-time communication parameters of each signal transmission frequency band in the target environment; The international student terminal retrieves the historical communication parameters of each signal transmission frequency band in the target environment; Perform mean processing on the real-time communication parameters of each signal transmission frequency band in the target environment to obtain the real-time average communication parameters of the signal transmission frequency band in the target environment, and obtain the deviation value between the real-time communication parameters and the real-time average communication parameters of each signal transmission frequency band in the target environment. Through introducing a weight factor for coupling and correlation processing, obtain the real-time communication performance detection value of each signal transmission frequency band; Compare the historical communication verification parameters extracted from the built-in database of the international student terminal with the historical communication parameters of each signal transmission frequency band in the target environment to obtain the deviation value between the historical communication parameters and the historical communication verification parameters of each signal transmission frequency band in the target environment. Through introducing a weight factor, correct the deviation value between the historical communication parameters and the historical communication verification parameters one by one and then perform coupling processing to obtain the historical communication performance detection value of each signal transmission frequency band; Based on the real-time communication performance detection value and the historical communication performance detection value of each signal transmission frequency band in the target environment, perform coupling processing through an activation function to obtain the first performance detection value of each signal transmission frequency band.

3. The accommodation management system for international students in colleges and universities according to claim 1, wherein: The specific content of selecting a signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal includes: Based on the first performance detection values of each signal transmission frequency band, select the signal transmission frequency band with the highest numerical value as the first signal transmission frequency band of the identity recognition sequence, and send the identity recognition sequence of the international student to the target usage device terminal through the first signal transmission frequency band.

4. The accommodation management system for international students in colleges and universities according to claim 1, wherein: After the target usage device terminal receives the identity recognition sequence, perform error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence. Specifically, it includes: After the target usage device terminal receives the identity recognition sequence of the international student, perform error code diagnosis on the identity recognition sequence of the international student. The specific process is as follows: The target usage device terminal diagnoses the sequence structure characteristics of the identity recognition sequence of the international student, and judges whether there are errors in the sync header, payload, and sequence check code of the identity recognition sequence. If any sequence structure characteristic has an error, the error code diagnosis result is an unqualified sequence; If none of the sequence structure characteristics of the identity recognition sequence have errors, the target usage device terminal obtains the error code diagnosis parameters of the identity recognition sequence of the international student, including the bit error rate, frame error rate, signal-to-noise ratio, and signal strength of the identity recognition sequence; Extract the error code diagnosis verification parameters from the built-in database of the target usage device terminal, including the bit error rate verification value, frame error rate verification value, signal-to-noise ratio verification value, and signal strength verification value; Based on the error code diagnosis parameters and error code diagnosis verification parameters of the identity recognition sequence of the international student, compare to obtain the deviation values of the error code diagnosis parameters and error code diagnosis verification parameters. After introducing the weight factor, correct the deviation values of the error code diagnosis parameters and error code diagnosis verification parameters one by one and perform coupling processing to obtain the error code diagnosis value of the identity recognition sequence, and compare it with the error code diagnosis threshold extracted from the built-in database of the target usage device terminal to obtain the error code diagnosis result of the identity recognition sequence; The error code diagnosis value of the identity recognition sequence is used to characterize the degree of damage suffered by the identity recognition sequence during transmission.

5. The accommodation management system for international students in colleges and universities according to claim 1, characterized in that: Based on the error code diagnosis result of the identity recognition sequence, determine whether the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment. Specifically, it includes: If the error code diagnosis result of the identity recognition sequence is a qualified sequence, it is determined that the international student terminal does not need to perform a second performance detection on each signal transmission frequency band in the target environment, and repair the identity recognition sequence based on the error code diagnosis value of the identity recognition sequence; If the error code diagnosis result of the identity recognition sequence is an unqualified sequence, it is determined that the international student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment, and the target usage device terminal sends a second performance detection signal requirement to the international student terminal.

6. The accommodation management system for international students in colleges and universities according to claim 1, wherein: Re-select the signal transmission frequency band, send the identity recognition sequence of the international student to the target usage device terminal again, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result. Specifically, it includes: After the international student terminal receives the second performance detection signal requirement, simulate a spectrum analyzer through the built-in wireless communication module, scan each signal transmission frequency band in the target environment again, obtain the real-time communication parameters of each signal transmission frequency band in the target environment, and analyze again to obtain the real-time communication performance detection values of each signal transmission frequency band; Based on the real-time communication performance detection values and historical communication performance detection values of each signal transmission frequency band in the target environment, the second performance detection values of each signal transmission frequency band are obtained through analysis and processing; After the target usage device terminal receives the identity recognition sequence of the international student again, perform error code diagnosis on the identity recognition sequence of the international student to obtain the error code diagnosis result of the identity recognition sequence. If the error code diagnosis result of the identity recognition sequence is a qualified sequence, repair the identity recognition sequence based on the error code diagnosis value of the identity recognition sequence; If the error code diagnosis result of the identity recognition sequence is an unqualified sequence, switch the identity verification method.

7. The accommodation management system for international students in colleges and universities according to claim 1, characterized in that: The repair of the identity recognition sequence with a qualified error code diagnosis result specifically includes: Perform a difference operation between the error code diagnosis value of the identity recognition sequence and the error code diagnosis threshold to obtain the error code repair pointing coefficient of the identity recognition sequence. Based on the error code repair pointing coefficient of the identity recognition sequence, perform mapping and matching with the sequence repair factors corresponding to each error code repair pointing coefficient in the built-in database of the target usage device terminal to obtain the sequence repair factor of the identity recognition sequence, and repair the identity recognition sequence.

8. The accommodation management system for international students in colleges and universities according to claim 1, characterized in that: The target usage device terminal decodes the repaired identity recognition sequence. The specific processing conditions are: The target usage device terminal converts the binary data of the repaired identity recognition sequence into an identity identifier, and compares and matches the identity identifier with the hash values of each identity in the built-in database of the target usage device terminal to obtain the comparison and matching result of the repaired identity recognition sequence.

9. The accommodation management system for international students in colleges and universities according to claim 7, characterized in that: The identity recognition based on the decoding result for the corresponding result. The specific processing conditions are: If the comparison and matching result of the repaired identity recognition sequence is a successful match, the decoding result is the identity information corresponding to the hash value of the identity recognition sequence. Based on this identity information, extract the usage instructions of the target usage device in the corresponding language and send them to the international student usage terminal; If the comparison and matching result of the repaired identity recognition sequence is a failed match, send the repaired identity recognition sequence through the TSL channel to the cloud processor for another match with the identity verification label in the cloud database. If the match is successful, the decoding result is the identity information corresponding to the identity verification label. Based on this identity information, extract the usage instructions of the target usage device in the corresponding language and send them to the international student usage terminal. If the match fails, switch the identity verification method and send an identity recognition error message to the management terminal at the same time.

10. A method applied to the university international student accommodation management system described in any one of claims 1-9, characterized in that: S1. Perform the first performance detection on each signal transmission frequency band in the target environment through the international student terminal, and select the signal transmission frequency band based on the first performance detection value to send the identity recognition sequence of the international student to the target usage device terminal; S2. After the target usage device terminal receives the identity recognition sequence, perform error code diagnosis on the identity recognition sequence to obtain the error code diagnosis result of the identity recognition sequence; S3. Based on the error code diagnosis result of the identity recognition sequence, determine whether the overseas student terminal needs to perform a second performance detection on each signal transmission frequency band in the target environment. If so, reselect the signal transmission frequency band, resend the identity recognition sequence of the overseas student to the target usage device terminal, and perform error code diagnosis on the identity recognition sequence again to obtain the error code diagnosis result; S4. Repair the identity recognition sequence with a qualified error code diagnosis result. The target usage device terminal decodes the repaired identity recognition sequence and performs identity recognition corresponding to the decoding result.

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