Student dormitory management system, method and computer storage medium

By using wireless audio devices and cloud systems to analyze noise and broadcast alarms in student dormitories, the problem of low efficiency in manual patrols in dormitory management has been solved, and remote, precise supervision and efficient management have been achieved.

CN116248726BActive Publication Date: 2025-12-23GUANGXI GUANBIAO TECH CO LTD
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Patent Information

Application Number
CN202211107256.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-09
Publication Date
2025-12-23
Estimated Expiration
2042-09-09

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Abstract

The application provides a student dormitory management system, method and computer storage medium, wherein the system comprises a wireless audio device installed in each dormitory, a central receiving device responsible for forwarding information for the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application. The student dormitory management system provided by the application can realize precise management of the dormitory through remote information sending or shouting in the case of excessive noise in the dormitory, without investing a large amount of human resources for dormitory patrol, which is beneficial to improving the dormitory management efficiency. In the information transmission, compression coding is adopted to reduce the data size, and forward error correction coding is performed on the compressed digital signal, which is beneficial to improving the anti-interference ability of the signal in the transmission process and reducing the possibility of packet loss, so as to realize the ultra-long distance transmission of information.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information transmission, and in particular to a student dormitory management system and method and computer storage medium. BACKGROUND

[0002] With the deepening of the process of education informatization, digital networks are increasingly entering all aspects of campus teaching, life and management. The traditional analog campus broadcast is lagging behind and being eliminated in terms of application mode and supporting functions, and far cannot meet the needs of modern campus digitization and network construction. For example, in the management of school dormitories, loud shouting may still occur in student dormitories after the lights are turned off, which seriously affects the rest of the students in the same dormitory and the surrounding dormitories, and further affects the learning of everyone. At present, the traditional solution is to invest a large number of manpower for daily inspection, but in the face of numerous dormitories, the manpower is under great pressure, and the inspection efficiency is low, which further leads to poor dormitory management efficiency. SUMMARY

[0003] In view of the above problems, the present application provides a student dormitory management system, method and computer storage medium, which can realize accurate information sending and shouting in student dormitories, and can realize the management of all dormitories without a large number of human resources, thereby improving the efficiency of dormitory management.

[0004] To achieve the above purpose, a first aspect of an embodiment of the present application provides a student dormitory management system, which comprises a wireless audio device installed in each dormitory, a central receiving device responsible for forwarding information for the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application program;

[0005] The wireless audio device is configured to, in the case of obtaining student authorization corresponding to a target dormitory, collect first audio information of the target dormitory, analyze the first audio information to obtain a noise analysis result, and obtain an encoded first digital signal based on the noise analysis result through multiple encoding, and send the first digital signal to the central receiving device;

[0006] The central receiving device is configured to receive the first digital signal and forward the first digital signal to the cloud device through a wireless communication protocol;

[0007] The cloud device is configured to receive the first digital signal sent by the central receiving device, obtain a noise analysis result based on the first digital signal through multiple decodings, determine whether the target dormitory has noise exceeding the standard according to the noise analysis result, and send an alarm information to the user device in the case that the target dormitory has noise exceeding the standard; receive the warning information sent by the user through the user device, obtain the second digital signal after encoding based on the warning information through multiple encodings, and send the second digital signal to the central receiving device;

[0008] The central receiving device is further configured to receive the second digital signal, and forward the second digital signal to the wireless audio device through a wireless communication protocol.

[0009] The wireless audio device is further configured to receive the second digital signal, and obtain the warning audio information based on the second digital signal through multiple decodings, and broadcast the warning audio information.

[0010] With reference to the first aspect, in a possible implementation, in the process of obtaining the first digital signal after encoding based on the noise analysis result through multiple encodings, the wireless audio device is specifically configured to:

[0011] convert the noise analysis result into a third digital signal;

[0012] perform compression encoding on the third digital signal, and perform forward error correction encoding on the digital signal after compression encoding to obtain the first digital signal.

[0013] With reference to the first aspect, in a possible implementation, in the process of obtaining the second digital signal after encoding based on the warning information through multiple encodings, the cloud device is specifically configured to:

[0014] convert the warning information into a fourth digital signal;

[0015] perform compression encoding on the fourth digital signal, and perform forward error correction encoding on the digital signal after compression encoding to obtain the second digital signal.

[0016] With reference to the first aspect, in a possible implementation, the warning information includes second audio information or text information input by the user, and in the process of obtaining the warning audio information based on the second digital signal through multiple decodings, the wireless audio device is specifically configured to:

[0017] perform forward error correction decoding on the second digital signal to obtain a decoded digital signal;

[0018] perform decompression operation on the decoded digital signal to obtain the fourth digital signal;

[0019] convert the fourth digital signal into the second audio information or the text information;

[0020] The second audio information is determined as the warning audio information, or the text information is converted into voice to obtain the warning audio information.

[0021] With reference to the first aspect, in a possible implementation, in the noise analysis on the first audio information to obtain the noise analysis result, the wireless audio device is specifically configured to:

[0022] The noise estimation algorithm is used to estimate the noise of the first audio information to obtain a plurality of noise estimation values of a plurality of time windows, and the plurality of time windows correspond to the plurality of noise estimation values one by one.

[0023] The sound insulation amount of the window of the target dormitory is obtained.

[0024] Based on the plurality of noise estimation values and the sound insulation amount, a plurality of indoor noise estimation values of the target dormitory are obtained.

[0025] The noise analysis result is obtained according to the plurality of indoor noise estimation values.

[0026] With reference to the first aspect, in a possible implementation, in the obtaining of the sound insulation amount of the window of the target dormitory, the wireless audio device is specifically configured to:

[0027] The first average sound pressure level in a preset range outside the target dormitory is obtained.

[0028] The second average sound pressure level of the target dormitory is obtained.

[0029] The sound insulation amount of the window of the target dormitory is calculated by using the total area of the window of the target dormitory, the total internal surface area of the target dormitory, the preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level.

[0030] With reference to the first aspect, in a possible implementation, in the obtaining of the plurality of indoor noise estimation values of the target dormitory based on the plurality of noise estimation values and the sound insulation amount, the wireless audio device is specifically configured to:

[0031] For any one time window A in the plurality of time windows, the average value of at least two of the traffic transportation noise estimation value, the industrial machinery noise estimation value, the urban building noise social life and public place noise estimation value corresponding to the time window A in the history time is obtained.

[0032] The indoor noise estimation value corresponding to the time window A is calculated by using the noise estimation value corresponding to the time window A, the sound insulation amount, and the average value.

[0033] After processing the plurality of time windows, the plurality of indoor noise estimation values corresponding to the plurality of time windows are obtained.

[0034] The second aspect of the embodiments of the present application provides a student dormitory management method, applied to a student dormitory management system, the student dormitory management system comprising a wireless audio device installed in each dormitory, a central receiving device responsible for forwarding information for the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application program;

[0035] The method comprises:

[0036] The wireless audio device collects first audio information of the target dormitory under the condition of obtaining student authorization corresponding to the target dormitory, analyzes the first audio information to obtain a noise analysis result, and obtains an encoded first digital signal based on the noise analysis result through multiple encodings, and sends the first digital signal to the central receiving device;

[0037] The central receiving device receives the first digital signal and forwards the first digital signal to the cloud device through a wireless communication protocol;

[0038] The cloud device receives the first digital signal sent by the central receiving device, obtains the noise analysis result based on the first digital signal through multiple decodings, determines whether the target dormitory has noise exceeding the standard according to the noise analysis result, sends an alarm information to the user device in the case of noise exceeding the standard, receives the warning information sent by the user through the user device, and obtains an encoded second digital signal based on the warning information through multiple encodings, and sends the second digital signal to the central receiving device;

[0039] The central receiving device receives the second digital signal and forwards the second digital signal to the wireless audio device through a wireless communication protocol;

[0040] The wireless audio device receives the second digital signal, and obtains warning audio information based on the second digital signal through multiple decodings, and broadcasts the warning audio information.

[0041] In combination with the second aspect, in a possible implementation manner, the encoded first digital signal based on the noise analysis result through multiple encodings comprises:

[0042] The noise analysis result is converted into a third digital signal;

[0043] The third digital signal is compressed and encoded, and the compressed and encoded digital signal is forward error correction encoded to obtain the first digital signal.

[0044] In combination with the second aspect, in a possible implementation manner, the encoded second digital signal based on the warning information through multiple encodings comprises:

[0045] The warning information is converted into a fourth digital signal;

[0046] The fourth digital signal is compressed and encoded, and the compressed and encoded digital signal is forward error correction encoded to obtain a second digital signal.

[0047] In combination with the second aspect, in a possible implementation, the warning information includes second audio information or text information input by a user, and the warning audio information is obtained based on the second digital signal through multiple decodings, including:

[0048] The second digital signal is forward error correction decoded to obtain a decoded digital signal;

[0049] The decoded digital signal is decompressed to obtain the fourth digital signal;

[0050] The fourth digital signal is converted into the second audio information or the text information;

[0051] The second audio information is determined as the warning audio information, or the text information is converted into speech to obtain the warning audio information.

[0052] In combination with the second aspect, in a possible implementation, noise analysis is performed on the first audio information to obtain a noise analysis result, including:

[0053] The first audio information is noise estimated by using a minimum value tracking noise estimation algorithm to obtain a plurality of noise estimation values of a plurality of time windows, and the plurality of time windows and the plurality of noise estimation values are in one-to-one correspondence;

[0054] The sound insulation of a window of the target dormitory is obtained;

[0055] Based on the plurality of noise estimation values and the sound insulation, a plurality of indoor noise estimation values of the target dormitory are obtained;

[0056] The noise analysis result is obtained according to the plurality of indoor noise estimation values.

[0057] In combination with the second aspect, in a possible implementation, the sound insulation of the window of the target dormitory is obtained, including:

[0058] A first average sound pressure level in a preset range outside the target dormitory is obtained;

[0059] A second average sound pressure level of the target dormitory is obtained;

[0060] The sound insulation of the window of the target dormitory is calculated by using a total area of the window of the target dormitory, a total internal surface area of the target dormitory, a preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level.

[0061] In combination with the second aspect, in a possible implementation, the multiple indoor noise estimation values of the target dormitory are obtained based on the multiple noise estimation values and the sound insulation amount, including:

[0062] For any one of the multiple time windows A, the average of at least two of the traffic transportation noise estimation value, the industrial machinery noise estimation value, the urban building noise social life and public place noise estimation value corresponding to each day in the historical time of the time window A is obtained;

[0063] The indoor noise estimation value corresponding to the time window A is calculated using the noise estimation value corresponding to the time window A, the sound insulation amount and the average value;

[0064] After processing the multiple time windows, the multiple indoor noise estimation values corresponding to the multiple time windows are obtained.

[0065] The third aspect of the embodiments of the present application provides a computer storage medium, the computer storage medium stores one or more instructions, the one or more instructions are suitable for being loaded and executed by a processor to perform the steps in all or part of the method of the second aspect.

[0066] The above scheme of the present application at least includes the following beneficial effects: compared with the prior art, the student dormitory management system provided by the embodiments of the present application sets wireless audio equipment, central receiving equipment, cloud equipment and user equipment running a student dormitory management application; the wireless audio equipment is used for audio information collection of the student dormitory, noise analysis of the audio information, obtaining of noise analysis results, compression encoding and forward error correction encoding of the noise analysis results, forwarding of the encoded digital signals to the cloud equipment through the central receiving equipment, obtaining of the noise analysis results by the cloud equipment performing corresponding decoding operations, determining whether the student dormitory where the wireless audio equipment is located exists noise exceeding standard according to the noise analysis results, and if so, sending different alarm information to different users, then the user can send warning information to the cloud equipment through the user equipment, the cloud equipment performs compression encoding and forward error correction encoding on the warning information, and forwards the encoded warning information to the wireless audio equipment through the central receiving equipment, and the wireless audio equipment performs corresponding decoding operations and broadcasts the warning information. In this way, in the case of excessive noise in the dormitory, the dormitory can be accurately supervised through remote information sending or shouting, without the need of investing a large amount of human resources to conduct dormitory patrol, which is conducive to improving the dormitory management efficiency. In addition, in information transmission, compression encoding is used to reduce the data size, and forward error correction encoding is performed on the compressed encoded digital signals, which is conducive to improving the anti-interference ability of the signal in the transmission process and reducing the possibility of packet loss, so as to realize ultra-long distance transmission of information. BRIEF DESCRIPTION OF DRAWINGS

[0067] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative effort based on these drawings.

[0068] Figure 1 A schematic diagram of a student dormitory management system provided by an embodiment of the present application;

[0069] Figure 2 A schematic diagram of an interface of a student dormitory management application provided by an embodiment of the present application;

[0070] Figure 3 A schematic diagram of an interface of another student dormitory management application provided by an embodiment of the present application;

[0071] Figure 4 A schematic diagram of dividing a first audio information into time windows provided by an embodiment of the present application;

[0072] Figure 5 A flowchart of a student dormitory management method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0073] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative effort based on these drawings.

[0074] The terms "comprising" and "having" and any variations thereof that appear in the specification, claims and drawings of the present application are intended to cover not exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units that are not listed, or can optionally include other steps or units inherent to the process, method, product or device. In addition, the terms "first", "second" and "third" and the like are used to distinguish different objects, and are not used to describe a specific order.

[0075] An embodiment of the present application provides a student dormitory management system 100, as shown in FIG. 1. Figure 1As shown, the student dormitory management system 100 includes a wireless audio device 101 installed in each dormitory, a central receiving device 102 responsible for forwarding information for the wireless audio device 101 of each dormitory building (i.e., each dormitory building is provided with a forwarding device), a cloud device 103 in wireless communication connection with the central receiving device 102, and a user device 104 running a student dormitory management application. The user device 104 includes but is not limited to a first terminal device, a second terminal device, a third terminal device, and a fourth terminal device. The first terminal device can be a device used by a student's parent, the second terminal device can be a device used by a class teacher, the third terminal device can be a device used by a grade director, and the fourth terminal device can be a device used by a dormitory manager, etc. The wireless audio device 101 and the central receiving device 102 can communicate through Long Range Radio (LoRa) wireless transmission technology or Narrow Band Internet of Things (NB-IoT). The central receiving device 102 is connected to the cloud device 103 through a wireless network, such as NB-IoT or a standard Cat.1 (LTE UE-Category 1) under the Long Term Evolution network. The student's parents, class teachers, etc. can interact with the cloud device 103 through the student dormitory management application running on the user device 104 they use, and issue information through the cloud device 103, thereby achieving the supervision or shouting of the student dormitory.

[0076] The wireless audio device 101 is configured to, in a case where a student authorization corresponding to a target dormitory is obtained, collect sound of the target dormitory to obtain first audio information, perform noise analysis on the first audio information to obtain a noise analysis result, and obtain an encoded first digital signal based on the noise analysis result through multiple encoding, and send the first digital signal to the central receiving device 102. The target dormitory can be any student dormitory in the dormitory building. Optionally, a button can be provided on the wireless audio device 101, which can be pressed by the students in the dormitory during the noon nap or at night when the lights are turned off, indicating that the students agree to collect the audio information in the dormitory.

[0077] Optionally, in terms of obtaining the encoded first digital signal based on the noise analysis result through multiple encodings, the wireless audio device is specifically configured to: convert the noise analysis result into a third digital signal; compress encode the third digital signal; and forward error correction encode the compressed encoded digital signal to obtain the first digital signal. For example, the noise analysis result can be converted into a third digital signal through an analog-to-digital conversion module, and the Opus encoding technology can be used to compress encode the third digital signal to compress the size of the noise analysis result. The compressed encoded digital signal is forward error correction encoded (FEC), i.e., the first digital signal is obtained. Since the FEC encoding is beneficial to improve the anti-interference ability of the signal in the transmission process and reduce the possibility of packet loss, the super-long distance transmission of the noise analysis result can be realized.

[0078] The central receiving device 102 is configured to receive the first digital signal sent by the wireless audio device 101 and forward the first digital signal to the cloud device through a wireless communication protocol. For example, the wireless communication protocol can be NB-IoT or Cat. 1. Optionally, the central receiving device 102 can be a gateway, a repeater, a base station, etc. installed in each building. Optionally, the central receiving device 102 can unicast, multicast or broadcast the encoded first digital signal.

[0079] The cloud device 103 is configured to receive the first digital signal sent by the central receiving device, and obtain the noise analysis result based on the first digital signal through multiple decodings. The cloud device 103 determines whether the target dormitory has noise exceeding the standard based on the noise analysis result, and sends an alarm information to the user device 104 in the case of noise exceeding the standard. Corresponding to the encoding side, the cloud device 103 first performs forward error correction decoding on the first digital signal to obtain the compressed encoded third digital signal, then decompresses the third digital signal to obtain the third digital signal, and converts the third digital signal into the noise analysis result through an analog-to-digital conversion module. The cloud device 103 determines whether the target dormitory has noise exceeding the standard based on the noise analysis result, generates corresponding alarm information if there is noise exceeding the standard, and sends the alarm information to the user device 104 for alarm reminder. For example, the alarm information can be presented to the user in the form of vibration, pop-up window, voice, text, etc. For example, the cloud device 103 can also send different alarm information according to different roles such as students, parents, class teachers, grade directors, dormitory managers, etc. For example, the dormitory manager can be sent "X0X dormitory in X building is too noisy"; the class teacher can be sent "Your Class X0X dormitory has loud noise", etc. Optionally, the cloud device 103 can generate a noise analysis chart of each dormitory and display it on the interface of the student dormitory management application. Optionally, the background can perform permission management on roles such as students, parents, class teachers, dormitory managers, etc. based on the services provided by the cloud device 103.

[0080] The user device 104 is configured to receive the alarm information sent by the cloud device 103, and convey the alarm information to the corresponding user, and receive the warning information input by the user in response to the alarm information. For example, as shown in Figure 2 The student dormitory management application interface logged in by the dormitory manager displays a pop-up window to remind the dormitory manager. For example, as shown in Figure 3 As shown in the pop-up window of the student dormitory management application, a text / voice information input box can also be provided, in which the dormitory manager can input text information or voice information to remind (or warn) the students in the target dormitory. For example, the dormitory manager can also select the target dormitory on the student dormitory management application, and then shout at the target dormitory, or select a pre-stored prompt voice or prompt text.

[0081] The cloud device 103 is also configured to receive the warning information sent by the user through the user device 104, and obtain an encoded second digital signal based on the warning information through multiple encodings, and send the second digital signal to the central receiving device 102.

[0082] Optionally, in the aspect of obtaining the encoded second digital signal based on the warning information through multiple encodings, the cloud device is specifically configured to: convert the warning information into a fourth digital signal; compress and encode the fourth digital signal, and forward error correction encode the compressed and encoded digital signal to obtain the second digital signal. For example, the warning information can be converted into a fourth digital signal through an analog-to-digital conversion module, and the fourth digital signal can be compressed and encoded using Opus encoding technology to compress the size of the warning information. The compressed and encoded digital signal is FEC encoded to obtain the second digital signal. The central receiving device 102 is also configured to receive the second digital signal, and forward the second digital signal to the wireless audio device through a wireless communication protocol.

[0083] The wireless audio device 101 is also configured to receive the second digital signal forwarded by the central receiving device 102, and obtain warning audio information based on the second digital signal through multiple decodings, and broadcast the warning audio information. Optionally, the warning information includes second audio information or text information input by the user, that is, the warning information can be audio information or text information.

[0084] Optionally, warning audio information is obtained based on the second digital signal through multiple decoding steps, including: performing forward error correction decoding on the second digital signal to obtain a decoded digital signal; performing decompression on the decoded digital signal to obtain a fourth digital signal; converting the fourth digital signal into second audio information or text information; determining the second audio information as warning audio information, or performing a speech-to-text operation on the text information to obtain warning audio information. Corresponding to the encoding side, the wireless audio device 101 first performs forward error correction decoding on the second digital signal to obtain a compressed and encoded fourth digital signal, then performs a decompression operation to obtain the fourth digital signal, and converts the fourth digital signal into second audio information or text information through an analog-to-digital converter module. If the warning information is second audio information, the wireless audio device 101 can broadcast the second audio information as warning audio information; if the warning information is text information, the wireless audio device 101 can convert the text information into corresponding speech information, i.e., obtain warning audio information, and broadcast it.

[0085] In one possible implementation, in terms of performing noise analysis on the first audio information and obtaining the noise analysis result, the wireless audio device 101 is specifically used to: perform noise estimation on the first audio information using a minimum tracking noise estimation algorithm to obtain multiple noise estimates for multiple time windows, wherein the multiple time windows correspond one-to-one with the multiple noise estimates; obtain the sound insulation of the windows of the target dormitory; obtain multiple indoor noise estimates of the target dormitory based on the multiple noise estimates and the sound insulation; and obtain the noise analysis result based on the multiple indoor noise estimates.

[0086] For example, please see Figure 4 The acquisition time of the first audio information is divided into five time windows: t1-t2, t2-t3, t3-t4, and t4-t5. Since the minimum tracking noise estimation algorithm typically requires a tracking time interval of 0.4-1 seconds, the time interval of each of the five time windows is between 0.4 and 1 second. For each time window, the minimum tracking noise estimation algorithm can be used to obtain its corresponding noise estimate, meaning that there will be five noise estimates for each of the five time windows.

[0087] In a possible implementation, in the process of obtaining the sound insulation of the window of the target dormitory, the wireless audio device 101 is specifically configured to: obtain a first average sound pressure level in a preset range outside the target dormitory; obtain a second average sound pressure level of the target dormitory; and obtain the sound insulation of the window of the target dormitory by using a total window area of the target dormitory, a total internal surface area of the target dormitory, a preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level. The wireless audio device 101 can obtain the sound pressure p in the preset range outside the target dormitory with a radius of 1 km, calculate the corresponding sound pressure level based on the sound pressure and a reference sound pressure, obtain the first average sound pressure level P1 in the preset range by averaging the sound pressure levels of the sound pressures, and obtain the first average sound pressure level P2 in the target dormitory by using the same method. The sound insulation of the window of the target dormitory is calculated by using the following formula:

[0088]

[0089] wherein R represents the sound insulation of the window of the target dormitory, S1 represents the total window area of the target dormitory, S2 represents the total internal surface area of the target dormitory, and γ represents the average sound absorption coefficient of the target dormitory, which is set to 0.2 according to the experience value. S1 and S2 can be pre-stored in a database.

[0090] In a possible implementation, in the process of obtaining the sound insulation of the window of the target dormitory, the wireless audio device 101 is specifically configured to: obtain a first average sound pressure level in a preset range outside the target dormitory; obtain a second average sound pressure level of the target dormitory; and obtain the sound insulation of the window of the target dormitory by using a total window area of the target dormitory, a total internal surface area of the target dormitory, a preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level. The wireless audio device 101 can obtain the sound pressure p in the preset range outside the target dormitory with a radius of 1 km, calculate the corresponding sound pressure level based on the sound pressure and a reference sound pressure, obtain the first average sound pressure level P1 in the preset range by averaging the sound pressure levels of the sound pressures, and obtain the first average sound pressure level P2 in the target dormitory by using the same method. The sound insulation of the window of the target dormitory is calculated by using the following formula:

[0091] N=N ′ +R-Δn;

[0092] wherein, N represents the indoor noise estimation value corresponding to the time window t2-t3, in decibel. In the same way, the indoor noise estimation values corresponding to the time windows t1-t2, t3-t4, t4-t5 can also be obtained.

[0093] In a possible implementation, in terms of obtaining the noise analysis result according to the plurality of indoor noise estimation values, the wireless audio device 101 is specifically configured to: calculate the average value of the plurality of indoor noise estimation values, take the average value as the noise value of the target dormitory, or take the median of the plurality of indoor noise estimation values as the noise value of the target dormitory, etc. Wherein, the noise analysis result includes the noise value of the target dormitory, etc. If the noise value is greater than or equal to a preset threshold (for example: 50 decibels), it is determined that the target dormitory has noise exceeding the standard, and the noise exceeding the standard is caused by indoor factors, and if the average value is less than the preset threshold, it is determined that the target dormitory does not have noise exceeding the standard. Or, the plurality of indoor noise estimation values are curve fitted, if the curve monotonically increases in the range of the minimum time point to the maximum time point of the plurality of time windows (for example: [t1, t5]), the monotonically increasing information is taken as the noise analysis result. Or, the number of times of monotonically increasing and the number of times of monotonically decreasing of the curve in the range of the minimum time point to the maximum time point of the plurality of time windows are taken as the noise analysis result, if the number of times of monotonically increasing is greater than the number of times of monotonically decreasing, it is determined that the target dormitory has noise exceeding the standard, otherwise, it is determined that the target dormitory does not have noise exceeding the standard, etc.

[0094] For example, the student dormitory management system 100 can also be applied in important notification scenarios, for example, the class teacher needs to convey a message to the student Zhang San, and Zhang San is in the dormitory at this time. The class teacher can input the message content through the student dormitory management application on the user device 104, and the cloud device 103, the central receiving device 102 to the wireless audio device 101 in the dormitory of Zhang San, to realize the notification shouting to Zhang San.

[0095] It can be seen that the student dormitory management system 100 provided by the embodiment of the application is provided by setting the wireless audio device 101, the central receiving device 102, the cloud device 103 and the user device 104 running the student dormitory management application; the wireless audio device 101 is used for collecting audio information of the student dormitory, analyzing the audio information, obtaining a noise analysis result, and compressing and encoding the noise analysis result and forward error correction encoding; the encoded digital signal is forwarded to the cloud device 103 through the central receiving device 102, the cloud device 103 performs corresponding decoding operation, obtains the noise analysis result, and determines whether the student dormitory where the wireless audio device 101 is located exists noise exceeding standard according to the noise analysis result, if exists, sends different alarm information to different users, then the user can send warning information to the cloud device 103 through the user device 104, the cloud device 103 compresses and encodes the warning information and forward error correction encoding, and forwards the encoded warning information to the wireless audio device 101 through the central receiving device 102, the wireless audio device 101 performs corresponding decoding operation, and broadcasts the warning information. In this way, in the case of excessive noise in the dormitory, the dormitory can be accurately supervised through remote information sending or shouting, without investing a large amount of human resources to patrol the dormitory, which is conducive to improving the dormitory management efficiency. In addition, in the information transmission, compression encoding is used to reduce the data size, and forward error correction encoding is performed on the compressed and encoded digital signal, which is conducive to improving the anti-interference ability of the signal in the transmission process and reducing the possibility of packet loss, so as to realize the super long distance transmission of information.

[0096] The embodiment of the application also provides a student dormitory management method, which is applied to a student dormitory management system, the student dormitory management system comprising a wireless audio device installed in each dormitory, a central receiving device responsible for information forwarding of the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application; please see Figure 5 The student dormitory management method comprises steps S51-S55:

[0097] S51, the wireless audio device collects first audio information of the target dormitory under the condition of obtaining student authorization corresponding to the target dormitory, analyzes the first audio information, obtains a noise analysis result, and obtains an encoded first digital signal based on the noise analysis result through multiple encoding, and sends the first digital signal to the central receiving device;

[0098] S52, the central receiving device receives the first digital signal, and forwards the first digital signal to the cloud device through a wireless communication protocol;

[0099] S53, the cloud device receives the first digital signal sent by the central receiving device; and obtains a noise analysis result based on the first digital signal through multiple decodings, determines whether the target dormitory has noise exceeding the standard according to the noise analysis result, and sends an alarm information to the user device in the case that the target dormitory has noise exceeding the standard; receives the warning information sent by the user through the user device, and obtains the second digital signal after encoding based on the warning information through multiple encodings, and sends the second digital signal to the central receiving device;

[0100] S54, the central receiving device receives the second digital signal, and forwards the second digital signal to the wireless audio device through a wireless communication protocol;

[0101] S55, the wireless audio device receives the second digital signal, and obtains the warning audio information based on the second digital signal through multiple decodings, and broadcasts the warning audio information.

[0102] In a possible implementation, the first digital signal after encoding based on the noise analysis result through multiple encodings comprises:

[0103] The noise analysis result is converted into a third digital signal;

[0104] The third digital signal is compressed and encoded, and the digital signal after compression and encoding is forward error correction encoded to obtain the first digital signal.

[0105] In a possible implementation, the second digital signal after encoding based on the warning information through multiple encodings comprises:

[0106] The warning information is converted into a fourth digital signal;

[0107] The fourth digital signal is compressed and encoded, and the digital signal after compression and encoding is forward error correction encoded to obtain the second digital signal.

[0108] In a possible implementation, the warning information comprises second audio information or text information input by the user, and the warning audio information obtained based on the second digital signal through multiple decodings comprises:

[0109] The second digital signal is forward error correction decoded to obtain a decoded digital signal;

[0110] The decoded digital signal is decompressed to obtain the fourth digital signal;

[0111] The fourth digital signal is converted into the second audio information or the text information;

[0112] The second audio information is determined as the warning audio information, or the text information is converted into voice to obtain the warning audio information.

[0113] In a possible implementation, the noise analysis is performed on the first audio information to obtain a noise analysis result, including:

[0114] The noise estimation is performed on the first audio information by using a minimum value tracking noise estimation algorithm to obtain a plurality of noise estimation values of a plurality of time windows, the plurality of time windows corresponding to the plurality of noise estimation values one by one;

[0115] The sound insulation amount of the window of the target dormitory is obtained;

[0116] Based on the plurality of noise estimation values and the sound insulation amount, a plurality of indoor noise estimation values of the target dormitory are obtained;

[0117] The noise analysis result is obtained according to the plurality of indoor noise estimation values.

[0118] In a possible implementation, the sound insulation amount of the window of the target dormitory is obtained, including:

[0119] The first average sound pressure level in a preset range outside the target dormitory is obtained;

[0120] The second average sound pressure level of the target dormitory is obtained;

[0121] The sound insulation amount of the window of the target dormitory is calculated by using the total area of the window of the target dormitory, the total internal surface area of the target dormitory, the preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level.

[0122] In a possible implementation, based on the plurality of noise estimation values and the sound insulation amount, the plurality of indoor noise estimation values of the target dormitory are obtained, including:

[0123] For any one time window A in the plurality of time windows, the average value of at least two of the traffic transportation noise estimation value, the industrial machinery noise estimation value, and the urban building noise social life and public place noise estimation value corresponding to the time window A in the historical time is obtained;

[0124] The indoor noise estimation value corresponding to the time window A is calculated by using the noise estimation value corresponding to the time window A, the sound insulation amount, and the average value;

[0125] After the plurality of time windows are processed, the plurality of indoor noise estimation values corresponding to the plurality of time windows are obtained.

[0126] Wherein, Figure 5 The implementation of each step in the method embodiment shown can be referred to the description of the system embodiment shown Figures 1-4 The same or similar beneficial effects can be achieved, and details are not described here.

[0127] It can be seen that the student dormitory management method provided by the embodiment of the application, through the wireless audio device, the student dormitory is subjected to audio information collection, noise analysis is performed on the audio information, noise analysis results are obtained, and the noise analysis results are subjected to compression encoding and forward error correction encoding. The encoded digital signal is forwarded to the cloud device through the central receiving device, the cloud device performs corresponding decoding operation to obtain the noise analysis results, determines whether the student dormitory where the wireless audio device is located exists noise exceeding standard according to the noise analysis results, if exists, sends different alarm information to different users, then the user can send warning information to the cloud device through the user device, the cloud device subjects the warning information to compression encoding and forward error correction encoding, and forwards the encoded warning information to the wireless audio device through the central receiving device, the wireless audio device performs corresponding decoding operation, and broadcasts the warning information. In this way, in the case of noise exceeding standard in the dormitory, the dormitory can be accurately supervised through the remote information sending or shouting mode, without investing a large amount of human resources to conduct dormitory patrol, which is beneficial to improving the dormitory management efficiency. In addition, in the information transmission, compression encoding is adopted to reduce the data size, and forward error correction encoding is performed on the compressed encoded digital signal, which is beneficial to improving the anti-interference ability of the signal in the transmission process, reducing the possibility of packet loss, and thus realizing the ultra-long distance transmission of information.

[0128] The computer storage medium provided by the embodiment of the application is a memory device in an information processing device or an information sending device or an information receiving device, and is used to store programs and data. It can be understood that the computer storage medium herein can include a built-in storage medium in the terminal, and of course can include an expansion storage medium supported by the terminal. The computer storage medium provides a storage space, and the storage space stores an operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory; optionally, the computer storage medium can also be at least one computer storage medium located away from the processor. In an embodiment, the processor can load and execute one or more instructions stored in the computer storage medium to implement the corresponding steps in the above-mentioned student dormitory management method.

[0129] The above has carried out the detailed introduction to the embodiment of the application, the principle and implementation mode of the application have been described by applying specific examples in this paper, the above embodiment explanation is only for helping understanding the method of the application and its core idea; at the same time, for the general technical personnel in the art, according to the idea of the application, there will be changes in specific implementation mode and application range, and the above is described, the content of the specification should not be understood as the limitation of the application.

Claims

1. A student dormitory management system characterized by, The system comprises a wireless audio device installed in each dormitory, a central receiving device responsible for information forwarding of the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application; The wireless audio device is configured to collect first audio information of a target dormitory if the student of the target dormitory is authorized, analyze the first audio information to obtain a noise analysis result, encode the noise analysis result based on multiple encodings to obtain a first digital signal, and send the first digital signal to the central receiving device; The central receiving device is configured to receive the first digital signal and forward the first digital signal to the cloud device through a wireless communication protocol; The cloud device is configured to receive the first digital signal sent by the central receiving device, and decode the first digital signal based on multiple decodings to obtain the noise analysis result, determine whether the target dormitory has noise exceeding the standard according to the noise analysis result, and send alarm information to the user device if the target dormitory has noise exceeding the standard; The user device is configured to receive the alarm information sent by the user, encode the alarm information based on multiple encodings to obtain a second digital signal, and send the second digital signal to the central receiving device; The central receiving device is further configured to receive the second digital signal and forward the second digital signal to the wireless audio device through a wireless communication protocol; The wireless audio device is further configured to receive the second digital signal, decode the second digital signal based on multiple decodings to obtain warning audio information, and broadcast the warning audio information; In the aspect of analyzing the first audio information to obtain a noise analysis result, the wireless audio device is specifically configured to: perform noise estimation on the first audio information by using a minimum value tracking noise estimation algorithm to obtain a plurality of noise estimation values of a plurality of time windows, the plurality of time windows corresponding to the plurality of noise estimation values one by one; obtain the sound insulation amount of the window of the target dormitory; obtain a plurality of indoor noise estimation values of the target dormitory based on the plurality of noise estimation values and the sound insulation amount; obtain the noise analysis result according to the plurality of indoor noise estimation values; In the aspect of obtaining a plurality of indoor noise estimation values of the target dormitory based on the plurality of noise estimation values and the sound insulation amount, the wireless audio device is specifically configured to: for any one time window A in the plurality of time windows, obtain an average value of at least two of the traffic transportation noise estimation value, the industrial machinery noise estimation value, the urban building noise social life and public place noise estimation value corresponding to the time window A in the historical time every day; calculate the indoor noise estimation value corresponding to the time window A by using the noise estimation value corresponding to the time window A, the sound insulation amount and the average value; after processing the plurality of time windows, obtain the plurality of indoor noise estimation values corresponding to the plurality of time windows one by one. ​ ​ 2. The system of claim 1, wherein, In terms of obtaining the encoded first digital signal based on the noise analysis result through multiple encodings, the wireless audio device is specifically configured to: convert the noise analysis result into a third digital signal; perform compression encoding on the third digital signal, and perform forward error correction encoding on the compression-encoded digital signal to obtain the first digital signal.

3. The system of claim 1 or 2, wherein, In terms of obtaining the encoded second digital signal based on the warning information through multiple encodings, the cloud device is specifically configured to: convert the warning information into a fourth digital signal; perform compression encoding on the fourth digital signal, and perform forward error correction encoding on the compression-encoded digital signal to obtain the second digital signal.

4. The system of claim 3, wherein, The warning information includes second audio information or text information input by a user, and in terms of obtaining warning audio information based on the second digital signal through multiple decodings, the wireless audio device is specifically configured to: perform forward error correction decoding on the second digital signal to obtain a decoded digital signal; perform decompression operation on the decoded digital signal to obtain the fourth digital signal; convert the fourth digital signal into the second audio information or the text information; determine the second audio information as the warning audio information, or perform speech conversion on the text information to obtain the warning audio information.

5. The system of claim 1, wherein, In terms of obtaining the sound insulation of the window of the target dormitory, the wireless audio device is specifically configured to: obtain a first average sound pressure level within a preset range outside the target dormitory; obtain a second average sound pressure level of the target dormitory; obtain a total area of windows of the target dormitory, a total internal surface area of the target dormitory, a preset sound absorption coefficient of the target dormitory, the first average sound pressure level, and the second average sound pressure level, and calculate the sound insulation of the window of the target dormitory.

6. A student dormitory management method characterized by comprising: The student dormitory management system includes a wireless audio device installed in each dormitory, a central receiving device responsible for forwarding information to the wireless audio device of each dormitory building, a cloud device wirelessly connected with the central receiving device, and a user device running a student dormitory management application; The method comprises: The wireless audio device collects first audio information of a target dormitory under the condition that a student is authorized to access the target dormitory, performs noise analysis on the first audio information to obtain a noise analysis result, and obtains an encoded first digital signal based on the first audio information through multiple encodings, and sends the first digital signal to the central receiving device; The central receiving device receives the first digital signal, and forwards the first digital signal to the cloud device through a wireless communication protocol; The cloud device receives the first digital signal sent by the central receiving device, and obtains the first audio information based on the first digital signal through multiple decodings, analyzes the first audio information to determine whether the target dormitory has excessive noise, and sends alarm information to the user device in the case of excessive noise; receives the warning information sent by the user through the user device, and obtains the encoded second digital signal based on the warning information through multiple encodings, and sends the second digital signal to the central receiving device; The central receiving device receives the second digital signal, and forwards the second digital signal to the wireless audio device through a wireless communication protocol; The wireless audio device receives the second digital signal, and obtains the warning audio information based on the second digital signal through multiple decodings, and broadcasts the warning audio information; The noise analysis of the first audio information obtains a noise analysis result, including: using a minimum value tracking noise estimation algorithm to estimate the noise of the first audio information to obtain a plurality of noise estimation values of a plurality of time windows, the plurality of time windows corresponding to the plurality of noise estimation values one by one; obtaining the sound insulation amount of the window of the target dormitory; obtaining a plurality of indoor noise estimation values of the target dormitory based on the plurality of noise estimation values and the sound insulation amount; obtaining the noise analysis result according to the plurality of indoor noise estimation values; The plurality of noise estimation values and the sound insulation amount are obtained, including: For any one time window A in the plurality of time windows, obtain the average value of at least two of the corresponding traffic transportation noise estimation value, industrial machinery noise estimation value, urban building noise social life and public place noise estimation value of the time window A in the historical time every day; Using the noise estimation value corresponding to the time window A, the sound insulation amount and the average value, the indoor noise estimation value corresponding to the time window A is calculated; After processing the plurality of time windows, the plurality of indoor noise estimation values corresponding to the plurality of time windows are obtained.

7. The method of claim 6, wherein, The first digital signal is obtained based on the first audio information through multiple encodings, including: The first audio information is converted into a third digital signal; The third digital signal is compressed and encoded, and the compressed and encoded digital signal is forward error correction encoded to obtain the first digital signal.

8. A computer storage medium, characterized in that The computer storage medium stores one or more instructions, and the one or more instructions are adapted to be loaded and executed by the processor to perform the method of any one of claims 6-7.

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