A campus restroom bullying warning method, system, device and medium

By collecting real-time audio data in campus bathrooms and using large-scale models to analyze, alarm information is generated for synchronous early warnings, the problem of campus bathrooms being unable to effectively monitor bullying behavior is solved, and precise monitoring and timely intervention are achieved, taking into account privacy protection.

CN119763270APending Publication Date: 2025-04-04兰鼎钰
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Patent Information

Application Number
CN202411649374.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-19
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

Due to the inability to effectively monitor the campus bathroom, it has become a high incidence of bullying incidents. Traditional video surveillance cannot be installed, making it difficult to intervene and prevent bullying in a timely manner.

Method used

By collecting real-time audio data in the bathroom, using large models to perform data analysis, generating alarm information and synchronous early warning of multiple devices, and semantic analysis is carried out in combination with speech recognition technology and generative artificial intelligence to achieve automatic judgment and intervention in bullying behavior.

Benefits of technology

Accurate monitoring and timely intervention in campus bullying is achieved, privacy protection is taken into account, costs are reduced, and the accuracy and response speed of early warning are improved.

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Abstract

The present invention provides a bullying warning method, system, device and medium for campus restrooms, which collects real-time audio data in the restroom and sends it to a first device. The audio data is used by the first device to perform data analysis based on a large model, generate alarm information and send it to a second device. The alarm information is used by the second device to perform synchronous warnings on multiple devices; synchronous warnings are performed based on the alarm information received from the second device. Using a large model to accurately and effectively analyze real-time audio data to judge bullying behavior can not only accurately and effectively monitor campus bullying, but also take into account privacy protection, achieving significantly better results at a relatively high cost, and at the same time has broad development prospects and huge cost reduction space.
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Description

Technical Field

[0001] The present invention relates to the field of pattern recognition, and in particular to a bullying early warning method, system, equipment and medium for a campus restroom. Background Art

[0002] School bullying prevention is not an isolated case, it is more common than we think. A global report on school bullying released by UNESCO shows that about 246 million children and adolescents are bullied in schools every year.

[0003] As a relatively private and closed space on campus, campus restrooms are often the hotspots for bullying. According to surveys and interviews with teachers and students in many schools, about 21.39% of bullying occurs in restrooms. One important reason is that traditional video surveillance cannot be installed in restrooms, resulting in the inability to effectively monitor the interior of the restroom, making it difficult to intervene and prevent bullying in a timely manner, and bullies are most likely to succeed.

[0004] Therefore, there is an urgent need for a campus restroom bullying warning method, system, equipment and medium to improve the above-mentioned problems. Summary of the invention

[0005] The purpose of the present invention is to provide a campus restroom bullying warning method, system, device and medium, which can accurately and effectively monitor campus bullying while taking into account privacy protection.

[0006] In a first aspect, the present invention provides a method for early warning of bullying in a campus restroom, comprising:

[0007] Collect real-time audio data in the restroom and send it to the first device. The audio data is used by the first device to perform data analysis based on a large model, generate alarm information and send it to the second device. The alarm information is used by the second device to perform synchronous early warning of multiple devices.

[0008] A synchronous early warning is performed based on the alarm information received from the second device.

[0009] The method of the present invention has the following beneficial effects: by collecting real-time audio data in the restroom and sending it to the first device, the audio data is used by the first device to perform data analysis based on the large model, generate alarm information and send it to the second device, the alarm information is used by the second device to perform synchronous warning of multiple devices; synchronous warning is performed based on the alarm information received from the second device. Using the large model to accurately and effectively analyze real-time audio data to judge bullying behavior can not only accurately and effectively monitor campus bullying, but also take into account privacy protection, achieving significantly better results at a relatively high cost, and at the same time has broad development prospects and huge cost reduction space.

[0010] Optionally, data analysis is performed based on the large model to generate alarm information including:

[0011] The audio data is converted into text information based on speech recognition technology, and semantic analysis and understanding are performed based on generative artificial intelligence of a large language model to generate alarm information. The beneficial effect is that speech recognition technology and generative artificial intelligence are combined, and the natural language processing ability of the model is used to perform a comprehensive semantic analysis of the context of the conversation in the restroom, thereby realizing automatic judgment and intervention of bullying behavior.

[0012] Optionally, the speech recognition technology is based on the iFlytek conversion model. The beneficial effect is that by adopting the iFlytek conversion model, the accuracy of audio-to-text conversion can be improved.

[0013] Optionally, the large language model is based on a transformer model, and / or is assisted by a speech emotion recognition module. The beneficial effect is that by using a transformer model for semantic analysis and understanding, adding a speech emotion recognition model for assistance, and by identifying emotions to assist in judging possible bullying behaviors, it is possible to identify emotions to assist in judging possible bullying behaviors, further reduce false alarms, and improve the accuracy of early warnings.

[0014] Optionally, when the first device of the audio data performs data analysis and determines that there is no risk, it will be overwritten by the subsequent audio data, and the current audio data will not be archived, and the corresponding text will be stored in a buffer that is cleared regularly. The beneficial effect is that the privacy risk of human monitoring is avoided by using artificial intelligence interpretation, and the privacy of students can be protected while ensuring correct alarm.

[0015] Optionally, the synchronous early warning of multiple devices includes:

[0016] The first device, the second device and the third device are synchronously warned, and the third device is a teacher terminal. The beneficial effect is that the teacher terminal is set to perform synchronous warning so that the on-duty teacher of the security center can respond immediately and arrive at the scene in time for processing.

[0017] In a second aspect, the present invention provides a campus restroom bullying warning system, including a terminal device, a first device, and a second device;

[0018] The terminal device is connected to the first device, and the second device is connected to the first device and the second device respectively;

[0019] The terminal device is used to collect audio data in the restroom and send it to the first device; and to perform synchronous warning based on the alarm information received from the second device;

[0020] The first device is used to perform data analysis on the audio data based on the large model, generate alarm information and send it to the second device;

[0021] The second device is used to perform synchronous early warning of multiple devices based on the alarm information.

[0022] The beneficial effects of the system of the present invention are as follows: by setting a terminal device, a first device and a second device; the terminal device is connected to the first device, and the second device is connected to the first device and the second device respectively; the terminal device is used to collect audio data in the toilet and send it to the first device; the first device is used to perform data analysis on the audio data based on a large model, generate alarm information and send it to the second device; the second device is used to perform synchronous warning of multiple devices based on the alarm information. Using real-time audio data, school bullying can be accurately and effectively monitored while taking into account privacy protection.

[0023] Optionally, the terminal device includes an electrically connected controller, a microphone, an alarm button, an alarm light and a buzzer;

[0024] and / or the system further comprises an alarm button installed outside the toilet, the alarm button being connected to the first device, and / or the alarm button outside the toilet is located within the coverage of the video surveillance;

[0025] And / or the system also includes an intelligent sensor, which is used to detect whether there is someone in the toilet. If no one is there, the system enters a standby state. Its beneficial effect is that the terminal device includes an electrically connected controller, a microphone, an alarm button, an alarm light and a buzzer. When the alarm is triggered, the warning light in the toilet will immediately light up and the buzzer alarm will sound to deter the bully; the alarm button outside the toilet is set within the coverage of the video surveillance, which not only allows other students to intervene in time and safely alarm when they find bullying behavior, but also effectively suppresses the occurrence of false alarms or random alarms; an intelligent sensor is set to determine whether there is someone in the toilet. If no one is there, the system will enter a standby state, saving computing power and power consumption.

[0026] In a third aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a program that can be run on the processor, and when the program is executed by the processor, the electronic device implements a method for executing any possible design of any of the above aspects.

[0027] In a fourth aspect, the present invention provides a readable storage medium, wherein the readable storage medium stores a program, and when the program is executed, it implements any possible design method of any of the above aspects.

[0028] For the beneficial effects of the third to fourth aspects, reference may be made to the description of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of a method for early warning of bullying in a campus restroom provided by an embodiment of the present invention;

[0030] Figure 2 A schematic diagram of the structure of a campus restroom bullying warning system provided by an embodiment of the present invention;

[0031] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention;

[0032] Figure 4 A schematic diagram of the structure of another campus restroom bullying warning system provided by an embodiment of the present invention;

[0033] Figure 5 A schematic diagram of the principles of another campus restroom bullying warning system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein should be understood by people with general skills in the field to which the present invention belongs. "Including" and similar words used in this article mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0035] In view of the inconvenience of preventing bullying in current campus toilets, the campus toilet bullying warning method provided by the present invention can not only accurately and effectively monitor campus bullying, but also take into account privacy protection. The technical scheme in the embodiment of the present invention is described below in conjunction with the drawings in the embodiment of the present invention. Among them, in the description of the embodiment of the present invention, the terms used in the following embodiments are only for the purpose of describing specific embodiments, and are not intended to be used as limitations of the present invention. The singular expressions "a", "said", "above", "the" and "this" are intended to also include expressions such as "one or more", unless there is a clear contrary indication in the context. It should also be understood that in the following embodiments of the present invention, "at least one", "one or more" refer to one or more than two (including two). The term "and / or" is used to describe the association relationship of associated objects, indicating that three relationships can exist; for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0036] References to "one embodiment" or "some embodiments" described in this specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Thus, the statements "in one embodiment", "in some embodiments", "in some other embodiments", and "in some other embodiments" that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways. The term "connected" includes direct and indirect connections, unless otherwise stated. "First" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated.

[0037] In the embodiments of the present invention, "exemplarily" or "for example" is used to indicate an example, illustration or description. Any embodiment or design described as "exemplarily" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of "exemplarily" or "for example" is intended to present the relevant concepts in a specific way.

[0038] like Figure 1 As shown, the present invention provides a campus restroom bullying warning method, comprising:

[0039] S101, collect real-time audio data in the restroom and send it to the first device. The audio data is used by the first device to perform data analysis based on a large model, generate alarm information and send it to the second device. The alarm information is used by the second device to perform synchronous early warning of multiple devices.

[0040] S102: Perform synchronous warning based on the received alarm information of the second device. It is worth emphasizing that the first device and the second device can be two independent devices or the same device.

[0041] In some embodiments, in order to achieve automatic judgment and intervention of bullying behavior, data analysis is performed based on a large model to generate alarm information, including: converting the audio data into text information based on speech recognition technology, and performing semantic analysis and understanding based on generative artificial intelligence of a large language model to generate alarm information.

[0042] In some specific embodiments, in order to improve the accuracy of audio-to-text conversion, the speech recognition technology is based on the iFlytek conversion model.

[0043] In other specific embodiments, in order to identify emotions to assist in judging possible bullying behaviors, further reduce false alarms, and improve the accuracy of early warnings, the large language model is based on a transformer model, and / or is assisted by a speech emotion recognition module (such as emotion2vec).

[0044] In some embodiments, in order to protect student privacy while ensuring correct alarm, when the audio data is determined to be risk-free by the first device, it will be overwritten by subsequent audio data, the current audio data will not be archived, and the corresponding text will be stored in a buffer that is cleared regularly.

[0045] In some embodiments, in order to facilitate the on-duty teacher of the security center to respond immediately and arrive at the scene in time to handle the problem, the synchronous warning of multiple devices includes: synchronous warning of the first device, the second device and the third device, and the third device is the teacher terminal.

[0046] Figure 2As shown, based on the above-mentioned campus restroom bullying warning method, the present invention provides a campus restroom bullying warning system 200, including a terminal device 201, a first device 202 and a second device 203; the terminal device 201 is connected to the first device 202, and the second device 203 is connected to the first device 202 and the second device 203 respectively; the terminal device is used to collect audio data in the restroom and send it to the first device 202; the first device 202 is used to perform data analysis on the audio data based on a large model, generate alarm information and send it to the second device 203; the second device 203 is used to perform synchronous warning of multiple devices based on the alarm information. Among them, the terminal device 201 and the first device 202, and the first device 202 and the second device 203 can be connected by wire or by wireless.

[0047] In some embodiments, in order to stop bullying behavior promptly and quickly, the terminal device 201 includes an electrically connected controller, a microphone, an alarm button, an alarm light and a buzzer. When the alarm is triggered, the warning light in the restroom will immediately light up and a buzzer alarm will sound to deter the bully.

[0048] In some embodiments, in order to alleviate the problem of false alarms, the system also includes an alarm button installed on the outside of the restroom, which is connected to the first device and is located within the coverage of the video surveillance. This not only allows other students to intervene in time and safely report bullying behavior when they discover it, but also effectively prevents the occurrence of false alarms or random reports.

[0049] In some embodiments, in order to save resources, the system also includes a smart sensor, which is used to detect whether there is someone in the restroom. If no one is in the restroom, the system enters a standby state to save computing power and electricity consumption.

[0050] For ease of understanding, this embodiment further describes the specific implementation process of the above system in conjunction with a specific application scenario system. Figure 4 and Figure 5 As shown, in this embodiment, the terminal device 201 is a frontier terminal, the first device 202 is a processing terminal, and the second device 203 is a cloud server. Its functional characteristics and working principles are as follows:

[0051] 1. Frontier Terminal: Installed in the campus restroom, it is based on the ESP32 controller and includes an alarm button, LED alarm light, buzzer and microphone. It is responsible for collecting audio and sending it to the processing end for analysis, while controlling the alarm button and alarm device.

[0052] 2. Processing end: Installed in the campus security center, it connects the speech-to-text model and the generative artificial intelligence for semantic understanding, and is responsible for data processing and analysis. The speech-to-text conversion here uses the interface of iFlytek, and the semantic understanding is connected to Baidu's Wenxin intelligent body and simulated using a laptop computer.

[0053] 3. Cloud server: responsible for the exchange of alarm information.

[0054] 1. Speech recognition and semantic analysis: The system uses speech recognition technology to convert the conversation content in the restroom into text information, and uses generative artificial intelligence to perform semantic analysis and understanding, to achieve rapid identification and intelligent judgment of bullying behavior, thereby improving the level of campus safety management.

[0055] 2. Alarm prompts and timely intervention: When the system detects possible bullying behavior, it will automatically issue an alarm prompt and notify the responsible teacher of the alarm information as soon as possible so that they can quickly arrive at the scene to deal with it and stop school bullying in time.

[0056] 3. Emergency alarm mechanism: When students encounter bullying, they or others can press the emergency alarm button inside or outside the restroom to quickly start the alarm process. When someone presses the button, the LED in the restroom will immediately light up and the alarm will sound. At the same time, the teacher in charge will be notified, which will deter the bully in the first place and reduce the harm to the bullied.

[0057] The key points of the embodiments of the present invention are as follows:

[0058] 1. Considering that it is impossible to set up video surveillance in the restroom, the system uses voice recognition and large language models to confirm the internal situation of the restroom through real-time monitoring, and processes audio information instantly without archiving it to protect privacy.

[0059] 2. In order to improve the accuracy of the system in identifying bullying behaviors, the project uses generative artificial intelligence based on a large language model for identification. Unlike traditional keyword recognition technology solutions, it can perform semantic analysis on the content of the conversation, understand the content of the conversation and judge the possible risk of bullying, just like a human listener. At the same time, as an artificial intelligence, it does not have the privacy issues that human listeners usually have. In terms of specific implementation, the Wenxin intelligent agent based on Baidu Wenxin Big Model 4.0 is used for interpretation. The basic model is trained and open to use by Baidu, and is called through the relevant interfaces provided by Baidu. At the same time, the comprehensive performance of the model is optimized through the accumulated training records during the knowledge base mounting test. Through the core technology of generative artificial intelligence, the recognition of most bullying behaviors involving violent language is realized, and the comprehensive performance is significantly better than the keyword recognition technology solution.

[0060] At the same time, in order to ensure direct and effective assistance in emergency situations, in addition to the fully automated monitoring system, the system also has a manual alarm system that can be manually operated. Emergency alarm buttons are installed inside and outside the toilet, and the alarm process can be quickly activated with one button.

[0061] 3. In order to stop bullying in a timely and rapid manner, when the alarm is triggered, the warning light in the restroom will immediately light up and the buzzer alarm will sound to deter the bully. At the same time, the campus security center and all terminal devices equipped with the system will also receive the alarm information synchronously, so that the teacher on duty at the security center can respond immediately and arrive at the scene to handle it in time.

[0062] 4. To alleviate the problem of false alarms, when an alarm is sounded, teachers on duty at the campus security center can use the broadcasting system to listen to the sound directly to confirm the situation, and can use the system terminal to communicate with people in the restroom to confirm the situation inside the restroom and manually determine whether there is bullying. At the same time, the alarm button outside the restroom is within the coverage of video surveillance, which not only allows other students to intervene in time and safely report bullying when they find bullying, but also effectively suppresses the occurrence of false alarms or random reports.

[0063] 5. To save resources, the system is also equipped with intelligent sensors to determine whether there is someone in the bathroom. If no one is in the bathroom, the system will enter standby mode, saving computing power and electricity consumption.

[0064] It should be understood that all relevant contents of each step involved in the above method embodiment can be cited to the functional description of the corresponding functional module, which will not be repeated here. In addition, the use of suffixes such as "module", "component" or "unit" used to represent elements is only for the purpose of facilitating the description of the present invention, and has no specific meaning in itself. Therefore, "module", "component" or "unit" can be used in a mixed manner. The terminal can be implemented in various forms. For example, the terminal described in the present invention may include mobile terminals such as mobile phones, tablet computers, laptops, PDAs, portable media players (Personal Digital Assistant, PDA), navigation devices, wearable devices, smart bracelets, pedometers, and fixed terminals such as digital TVs and desktop computers. The subsequent description will be described by taking the mobile terminal as an example, and those skilled in the art will understand that, in addition to components specifically used for mobile purposes, the construction according to the embodiment of the present invention can also be applied to fixed type terminals.

[0065] In some other embodiments of the present invention, an electronic device 300 is disclosed. Figure 3As shown, it may include: one or more processors 301; memory 302; display 303; one or more applications (not shown); and one or more computer programs 304. The above-mentioned components may be connected via one or more communication buses 305. The one or more computer programs 304 are stored in the above-mentioned memory 302 and configured to be executed by the one or more processors 301. The one or more computer programs 304 include instructions, which can be used to execute the following instructions: Figure 1 The various steps in the corresponding embodiments.

[0066] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0067] The memory 302 may be an internal storage unit of the electronic device 300, such as a hard disk or memory of the electronic device 300. The memory 302 may also be an external storage device of the electronic device 300, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the electronic device 300. Further, the memory 302 may also include both an internal storage unit of the electronic device 300 and an external storage device. The memory 302 is used to store computer programs and other programs and data required by the electronic device. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0068] The computer program 304 may be divided into one or more modules / units. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions. The instruction segments are used to describe the execution process of the computer program 304 in the electronic device 300 .

[0069] In addition to the above structure, those skilled in the art can understand that Figure 3It is only an example of the electronic device 300 and does not constitute a limitation of the electronic device 300. The electronic device 300 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0070] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0071] Based on the above embodiments, the present invention further discloses a computer-readable storage medium having at least one computer program stored thereon, and when the computer program is executed by a processor, the campus restroom bullying warning method in the above embodiments is implemented.

[0072] A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing a processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above-mentioned storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state disk (SSD)), etc.

[0073] The descriptions of the processes or structures corresponding to the above-mentioned figures have different emphases. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.

[0074] In summary, the campus restroom bullying warning method, system, device and medium disclosed in the present invention utilize real-time audio data to accurately and effectively monitor campus bullying while taking into account privacy protection.

[0075] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A bullying warning method for campus restrooms, characterized in that: include: Collect real-time audio data in the restroom and send it to the first device. The audio data is used by the first device to perform data analysis based on the big model, generate alarm information and send it to the second device. The alarm information is used by the second device to perform synchronous early warning of multiple devices; A synchronous early warning is performed based on the alarm information received from the second device.

2. The method according to claim 1, characterized in that Based on the big model, data analysis is performed to generate alarm information including: The audio data is converted into text information based on speech recognition technology, and semantic analysis and understanding is performed based on generative artificial intelligence of a large language model to generate alarm information.

3. The method according to claim 2, characterized in that The speech recognition technology is based on the iFLYTEK conversion model.

4. The method according to claim 2, characterized in that: The large language model is based on a transformer model and / or is assisted by a speech emotion recognition module.

5. The method according to claim 1, characterized in that: When the first device performs data analysis on the audio data and determines that there is no risk, it will be overwritten by the subsequent audio data, and the current audio data will not be archived. The corresponding text will be stored in a buffer that is cleared regularly.

6. The method according to claim 1, characterized in that The synchronous early warning of multiple devices includes: A synchronous warning is performed on the first device, the second device and the third device, and the third device is a teacher terminal.

7. A campus restroom bullying early warning system, characterized in that: comprising a terminal device, a first device and a second device; The terminal device is connected to the first device, and the second device is connected to the first device and the second device respectively; The terminal device is used to collect audio data in the restroom and send it to the first device; and performing synchronous early warning based on the alarm information received from the second device; The first device is used to perform data analysis on the audio data based on the large model, generate alarm information and send it to the second device; The second device is used to perform synchronous early warning of multiple devices based on the alarm information.

8. The system according to claim 7, characterized in that The terminal device includes an electrically connected controller, a microphone, an alarm button, an alarm light and a buzzer; and / or the system further comprises an alarm button installed outside the toilet, the alarm button being connected to the first device, and / or the alarm button outside the toilet is located within the coverage of the video surveillance; And / or the system further comprises an intelligent sensor, wherein the intelligent sensor is used to detect whether there is anyone in the restroom. If no one is there, the system enters a standby state.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein the memory stores a program executable on the processor, and when the program is executed by the processor, the electronic device implements the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, wherein a program is stored in the computer-readable storage medium, characterized in that: When the program is executed, the method according to any one of claims 1 to 6 is implemented.

Citation Information

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