CN111820880A - Campus overlord early warning system and method - Google Patents

Campus overlord early warning system and method Download PDF

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Publication number
CN111820880A
CN111820880A CN202010684068.1A CN202010684068A CN111820880A CN 111820880 A CN111820880 A CN 111820880A CN 202010684068 A CN202010684068 A CN 202010684068A CN 111820880 A CN111820880 A CN 111820880A
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user terminal
alarm
module
information
user
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郭凌云
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Shenzhen Juciyun Technology Co ltd
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Shenzhen Juciyun Technology Co ltd
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Abstract

The invention discloses an early warning system for campus overlord, which comprises a first user terminal, an emergency early warning cloud server and a second user terminal; the first user terminal device generates alarm information when judging that the first user terminal device is likely to suffer from campus blunting, the emergency early warning cloud server receives secondary analysis and judgment of collected information after starting the first user terminal audio and video collecting module by receiving the first user terminal alarm information, and can judge whether the first user terminal audio and video collecting module belongs to the campus blunting more accurately and send audio and video information and a coping scheme to the second user terminal. The problems that the recognition rate of the campus scummy behavior is low, misjudgment often occurs, and even a guardian needs to judge and recognize by himself, ambiguity and dispute are easy to occur are solved; the people receiving the information can not check the information all the time, and the rescue time is delayed.

Description

Campus overlord early warning system and method
Technical Field
The invention relates to the field of intelligent security of minors, in particular to a campus rabdosia behavior early warning system and method based on an artificial intelligence technology.
Background
The public has long overlooked the existence of campus overloads, as well as its diverse forms ranging from verbal insults to limb violence. Scholarly, campus rabdosia can be divided into relational rabdosia, speech rabdosia, limb rabdosia, sexual rabdosia, counterattack type rabdosia and the like, but people can hardly directly recognize rabdosia behaviors by means of the standards. Campus overlord occurs not only in private places such as school toilets and dormitories, but also in places around schools or places far away from campuses.
In chinese patent application publication No. CN 110348754 a "campus overlord behavior early warning system and method based on artificial intelligence technology", the following problems exist: (a) the method needs to establish a database in advance, and needs to waste time and energy of teachers and students; (b) the monitoring range is limited to the campus, and private places such as dormitories, toilets and the like in the campus and private places outside the campus cannot be monitored; (c) the early warning information is sent to a teacher who cannot wait for checking and receiving information all the day; (d) if the alarm device is shielded or damaged, the monitoring and alarming functions cannot be achieved.
The following problems exist in chinese patent applications with publication No. CN 109407504 a, "a personal safety detection system and method based on smart watch", and publication No. CN 106506708A, "a monitoring system based on internet of things": (a) the alarm information is directly sent to the guardian, and the guardian needs a great deal of energy and time to pay attention to the monitoring receiving device to find the alarm information in time; (b) the judgment of whether the patient is violence infringement or not by a non-professional guardian is easy to generate and misjudge, and disputes are easy to cause.
Therefore, a new technical solution is needed to solve the above problems.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a campus overlord early warning system. The method can solve the problems that in the prior art, after campus scumming occurs, the recognition rate of campus scumming behaviors is low, misjudgment often occurs, and even a guardian needs to judge and recognize the behaviors by himself, so that ambiguity and dispute are easy to generate; too much equipment alarm information, the people receiving the information can not check the information all the time, and the rescue opportunity is delayed.
The invention also provides an early warning method for campus overlord, which is also used for solving the technical problem.
The technical scheme is as follows: in order to achieve the purpose, the campus overlord early warning system provided by the invention can adopt the following technical scheme:
an early warning system of campus overlord, comprising:
the first user terminal comprises a positioning module, an anti-dismounting module, an anti-damage module, a vital sign monitoring module, an alarm module and an audio and video acquisition module; the positioning module is used for positioning the current position of the first user terminal; the anti-removal module is used for monitoring whether the first user terminal equipment is removed violently; the anti-damage module is used for monitoring whether the first user terminal equipment is violently damaged; the vital sign monitoring module is used for monitoring vital sign information of a first user, the alarm module is used for generating alarm information, and the audio and video acquisition module is used for recording audio and video information;
the emergency early warning cloud server is used for receiving the alarm information from the first user terminal to form an emergency scheme and informing a second user;
the second user terminal is one or more of a mobile device APP, a fixed telephone or a mobile telephone and is used for receiving the emergency scheme sent by the watching platform.
Has the advantages that: the system provided by the invention monitors the state of the first user in real time through the first user terminal device used by the first user, once abnormity occurs, the state can be analyzed and judged primarily to be suffered from campus blurriness, the emergency early warning cloud server receives alarm information sent by the first user terminal, receives secondary analysis and judgment of the collected information after the audio and video collecting module of the first user terminal is started, and can more accurately judge whether the state belongs to campus blurriness or not and send the audio and video information and a coping scheme to the second user terminal. The problems that the recognition rate of the campus scummy behavior is low, misjudgment often occurs, and even a guardian needs to judge and recognize by himself, ambiguity and dispute are easy to occur are solved; too much equipment alarm information, the people receiving the information can not check the information all the time, and the rescue opportunity is delayed.
Furthermore, the alarm module of the first user terminal comprises a voice alarm module, a key alarm module and a silence alarm module; the silence alarm module judges the vital sign value of the first user, and alarms if the vital sign value exceeds a preset threshold range.
Further, the vital sign monitoring module of the first user terminal comprises one or more of a heart rate detection sensor, a pulse detection sensor, a blood pressure detection sensor, a respiratory rate detection sensor, a body temperature detection sensor, a gyroscope sensor and an acceleration sensor.
Further, emergency early warning high in the clouds server contains AI intelligent server, artifical expert's guard platform, remote control audio and video acquisition module, and AI intelligent server is used for receiving, gathers, the alarm information of preliminary analysis judgement, and artifical expert's guard platform is used for the long-range audio and video acquisition module who opens first user terminal device to whether the information secondary analysis through first user terminal device audio and video collection judges that alarm information belongs to the reality, and gives the answer scheme, sends to second user terminal.
The campus overlord early warning method provided by the invention can adopt the following technical scheme:
a campus overlord early warning method,
monitoring a first user in real time by a first user terminal worn by the first user, wherein the monitoring comprises vital sign information of the first user, whether the first user terminal is violently removed and whether the first user terminal is violently damaged, and receiving alarm information of the first user terminal;
determining an emergency scheme according to the alarm information; pushing the emergency plan to a second user terminal.
Further, the alarm form is divided into active alarm and automatic alarm; the active alarm comprises that the first user gives an alarm through a key and voice; the automatic alarm is that when the vital sign value exceeds a preset threshold range, the first user terminal is violently removed, the first user terminal is violently damaged, and the action amplitude of the first user body is abnormal.
Further, after receiving information sent by a first user terminal, an AI intelligent server contained in the emergency early warning cloud server preliminarily judges whether the first user suffers from campus overlong through a preset program and sends the information to an artificial expert platform, an artificial expert remotely opens an audio and video acquisition module of first user terminal equipment to acquire audio and video, and the AI intelligent server is combined to send the information to accurately judge whether the first user belongs to campus overlong.
Further, the emergency scheme comprises that the artificial expert platform starts a sound and light warning module of the first user terminal device to send out a siren sound; and/or, dialing 110 an alarm call.
According to the campus overlord early warning method, an electronic device is correspondingly provided, and the method comprises the following steps:
one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the campus overlook early warning method.
According to the campus blurry early warning method, a computer readable medium is correspondingly provided, and a computer program is stored on the computer readable medium, and when the computer program is executed by a processor, the campus blurry early warning method is realized.
Drawings
FIG. 1 is a schematic diagram of the campus overlord early warning system according to the present invention.
FIG. 2 is a flow chart of an early warning method for campus overlord in the present invention.
Detailed Description
Example one
Please refer to fig. 1, this embodiment discloses an early warning system for campus overlord, which includes: the system comprises a first user terminal, an emergency early warning cloud server and a second user terminal.
The first user terminal comprises a positioning module, an anti-dismounting module, an anti-damage module, a vital sign monitoring module, an alarm module and an audio and video acquisition module; the positioning module is used for positioning the current position of the first user terminal; the anti-removal module is used for monitoring whether the first user terminal equipment is removed violently; the anti-damage module is used for monitoring whether the first user terminal equipment is violently damaged; the vital sign monitoring module is used for monitoring vital sign information of a first user, the alarm module is used for generating alarm information, and the audio and video acquisition module is used for recording audio and video information. The first user terminal is an intelligent device capable of being worn on a first user, and comprises: the intelligent clothes and shoe comprise one or more of an intelligent bracelet, an intelligent watch, intelligent glasses, an intelligent foot ring, intelligent clothes, an intelligent shoe and hat, other intelligent clothes, other intelligent free-wearing, other intelligent homes and other intelligent equipment.
In this embodiment, one of the technical means for determining that the first user terminal device is violently removed in the tamper-proof module monitoring and determining that the first user terminal device is violently destroyed in the tamper-proof module monitoring is as follows: the silica gel belt worn on the ankle, arm or leg of a user can be arranged on the first user terminal equipment, two sections of safety loops are designed inside the silica gel belt, the two sections of loops and the electromagnetic lock catch are combined together to form a complete safety loop, after the lock catch is locked, the power supply, the GPS positioning module and the communication and alarm module are integrated into a loop through the safety loop and a connecting hook inside the electromagnetic lock catch, and the loop can be interrupted when the silica gel belt is damaged or the lock catch is forcibly opened by violence, so that the alarm module is triggered to alarm. In other wearing equipment or intelligent equipment, the two sections of safety loops can be arranged at certain positions which are easy to be torn and broken, and the alarm module is triggered to alarm through the interruption of the safety loops in violent dismantling or violent damage.
The alarm module of the first user terminal comprises a voice alarm module, a key alarm module and a silence alarm module; the vital sign monitoring module judges the vital sign value of the first user, and gives an alarm if the vital sign value exceeds a preset threshold range. The vital sign monitoring module of the first user terminal comprises one or more of a heart rate detection sensor, a pulse detection sensor, a blood pressure detection sensor, a respiratory rate detection sensor, a body temperature detection sensor, a gyroscope sensor and an acceleration sensor and is used for monitoring vital signs of the first user.
And the emergency early warning cloud server is used for receiving the alarm information from the first user terminal to form an emergency scheme and informing a second user. Emergency early warning high in the clouds server contains AI intelligent server, artifical expert's guard platform, remote control audio and video acquisition module, AI intelligent server is used for receiving, gathers, the alarm information of preliminary analysis judgement, artifical expert's guard platform is used for the long-range audio and video acquisition module who opens first user terminal equipment to whether the information secondary analysis through first user terminal equipment audio and video collection judges that alarm information is true, and give the reply scheme, send to second user terminal.
The second user terminal is one or more of a mobile device APP, a fixed telephone or a mobile telephone and is used for receiving the emergency scheme sent by the watching platform. For example, the emergency scheme sent by the attended platform is received through answering a call or through notification information popped up in the APP.
Example two
Please refer to fig. 2, this embodiment provides an early warning method for campus overlord.
Step 201: and monitoring the first user terminal equipment in real time.
The first user is monitored in real time through a positioning module, a removal prevention module, a damage prevention module and a vital sign monitoring module which are arranged on the first user terminal device.
The vital sign monitoring module comprises information such as heart rate, body temperature and gravity sensing for monitoring content of the first user. The positioning module can monitor the positioning of the first user and the action track of the first user within a certain time period from time to time.
Step 202: the first user terminal triggers an alarm to generate alarm information.
The first user terminal equipment comprises a voice alarm module, a key alarm module, a silence alarm module and an acousto-optic warning module; when the first user encounters campus overlord, the first user terminal equipment can be used for triggering an alarm and sending out distress information.
The triggering alarm mode can be that the alarm is triggered by a key alarm module; the key form can be a fingerprint key, or can be a combination of one or more of the forms of pressing for multiple times or regularly, and the like, such as: when a first user encounters backdrop in a campus, the first user actively presses a key of the key alarm module for 3 times, an alarm is triggered, and alarm information is generated.
The above triggering alarm mode may be alarm by a special voice preset in the voice alarm module, such as: shouting 3 times "I missed" in succession triggers the warning, lets first user trigger the warning under the condition that the person of the rabdosian is not easily aware.
The above triggering alarm mode may be that the first user's heart rate, body temperature and other vital sign values exceed a preset threshold range, such as: the heart rate is more than 125 times/minute, the body temperature is lower than 36 ℃, the physical state monitors that the limb movement is violent, but the body state does not work normally, the alarm is automatically triggered.
The triggering alarm mode can also be that the first user terminal equipment triggers automatic alarm generated by the anti-dismantling module and the anti-damage module under the conditions of violent dismantling and violent damage, and at the moment, the first user terminal equipment can immediately generate alarm information and send the alarm information to the emergency early warning cloud server.
The generated alarm information includes but is not limited to: heart rate, body temperature, gravity sensing, acceleration, historical track, real-time positioning and the like.
Step 203: and the emergency early warning cloud server receives the alarm information and acquires audio and video information.
After receiving information sent by a first user terminal, an AI intelligent server contained in the emergency early warning cloud server preliminarily judges whether the first user suffers from campus overlong through a preset program and sends the information to an artificial expert platform, an artificial expert remotely opens an audio and video acquisition module of first user terminal equipment to acquire audio and video, and the AI intelligent server is combined to send the information to accurately judge whether the first user belongs to campus overlong.
The criteria for preliminarily judging the alarm information by the AI intelligent server included in the emergency early warning cloud server may be one or more information data judgment. Such as: alarm information is that the bracelet is removed by violence or the bracelet is destroyed by violence, then can tentatively judge to meet with the campus violence. The abnormal data judgment can be performed by monitoring vital signs, such as: the first user is afraid of fear, the body temperature is lower than 36 ℃, the emotion is tense, the heart rate is accelerated for more than 125 times/minute, the arm action amplitude monitored by the posture monitoring function is large, but the arm action does not belong to the normal movement range, and the campus violence can be preliminarily judged to be met.
The above-mentioned critical early warning cloud server transmission information's mode can be based on thing networking or local area network. Such as: information transmission between the emergency early warning cloud server and the first user terminal device is based on internet of things transmission, and the AI intelligent server and the artificial expert platform can transmit information by means of the internet of things or transmit data by means of a local area network. The AI intelligence server has a database as support. The manual expert platform has a plurality of related professionals, can receive information 24 hours a day without gaps, analyzes and judges the information timely and accurately, and makes an efficient coping scheme. Such as: the professionals of the manual expert platform can be divided into legal related professionals, rescue professional related personnel, information search related personnel and the like.
Step 204: and the emergency early warning cloud server sends information and a response scheme to the second user terminal.
The artificial expert platform contained in the emergency early warning cloud server sends campus overlord information and formulated emergency schemes aiming at the first user to the second user terminal.
The first user information comprises heart rate, body temperature, gravity induction, acceleration, real-time positioning and other information of the first user, and audio and video information acquired through the first user terminal equipment.
The emergency plan may be any measure that helps the first user get rid of campus overlord or reduce injuries, such as: the artificial expert platform remotely controls the acousto-optic warning module of the first user terminal device to send out siren sound, so that the rabdosian can be deterred and the rabdosian can stop escaping; such as: nearby outgoing calls can be searched for 110 alarm calls, allowing the police to quickly go to the site for processing.
The second user may be one or more of a parent, a relative, a class owner, and the like of the first user.
The above-mentioned manner of sending information and coping scheme to the second user terminal by the emergency early warning cloud server may be but is not limited to one or more of APP sending, short message sending, telephone notification, and the like.
Step 205: and the emergency early warning cloud server processes the emergency early warning cloud server according to the appeal of the second user terminal.
After receiving the information sent by the emergency early warning cloud server, the second user can objectively know the condition of the first user, select a proper processing mode by combining the coping scheme sent by the emergency early warning cloud server, and send an appeal through the second user terminal. And after receiving the appeal sent by the second user, the artificial expert platform can execute corresponding appeal measures.
The corresponding measures include but are not limited to: for the first user's live help, the first user is subjected to campus overlord for evidence collection, dials 110 for alarm, and provides 110 information to assist 110 in going to the site in time.
The above embodiments may be implemented by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, where the software product may be stored in a non-volatile storage medium (which may be an optical disc, a usb disk, a removable hard disk, etc.) or on a network server or a cloud server, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present disclosure, including: monitoring a first user in real time by a first user terminal worn by the first user, wherein the monitoring comprises vital sign information of the first user, whether the first user terminal is violently removed and whether the first user terminal is violently damaged, and receiving alarm information of the first user terminal; determining an emergency scheme according to the alarm information; pushing the emergency plan to a second user terminal.
The invention embodies a number of methods and approaches to this solution and the foregoing is only a preferred embodiment of the invention. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the protection scope of the present invention. All the components not specified in the present embodiment can be realized by the prior art.

Claims (10)

1. The utility model provides a campus overlord's early warning system which characterized in that includes:
the first user terminal comprises a positioning module, an anti-dismounting module, an anti-damage module, a vital sign monitoring module, an alarm module and an audio and video acquisition module; the positioning module is used for positioning the current position of the first user terminal; the anti-removal module is used for monitoring whether the first user terminal equipment is removed violently; the anti-damage module is used for monitoring whether the first user terminal equipment is violently damaged; the vital sign monitoring module is used for monitoring vital sign information of a first user, the alarm module is used for generating alarm information, and the audio and video acquisition module is used for recording audio and video information;
the emergency early warning cloud server is used for receiving the alarm information from the first user terminal to form an emergency scheme and informing a second user;
the second user terminal is one or more of a mobile device APP, a fixed telephone or a mobile telephone and is used for receiving the emergency scheme sent by the watching platform.
2. The campus overlord warning system according to claim 1, wherein: the alarm module of the first user terminal is provided with an active alarm module which comprises a voice alarm module, a key alarm module and a silence alarm module; the vital sign monitoring module judges the vital sign value of the first user, and gives an alarm if the vital sign value exceeds a preset threshold range; the anti-removal module is used for generating alarm information after the first equipment terminal is removed by an unconventional method; the anti-damage module is used for generating alarm information when the first equipment terminal is violently damaged.
3. The campus blusher early warning system according to claim 1 or 2, wherein: the vital sign monitoring module of the first user terminal comprises one or more of a heart rate detection sensor, a pulse detection sensor, a blood pressure detection sensor, a respiratory rate detection sensor, a body temperature detection sensor, a gyroscope sensor and an acceleration sensor.
4. The campus overlord warning system of claim 3, wherein: emergency early warning high in the clouds server contains AI intelligent server, artifical expert's guard platform, remote control audio and video acquisition module, and AI intelligent server is used for receiving, gathers, the alarm information of preliminary analysis judgement, and artifical expert's guard platform is used for the long-range audio and video acquisition module who opens first user terminal equipment to whether the information secondary analysis through first user terminal equipment audio and video collection judges that alarm information is true, and gives the reply scheme, sends to second user terminal.
5. A campus overlord warning method is characterized by comprising the following steps:
monitoring a first user in real time by a first user terminal worn by the first user, wherein the monitoring comprises vital sign information of the first user, whether the first user terminal is violently removed and whether the first user terminal is violently damaged, and receiving alarm information of the first user terminal;
determining an emergency scheme according to the alarm information; pushing the emergency plan to a second user terminal.
6. The campus overlord warning method of claim 5, wherein: the alarm form is divided into active alarm and automatic alarm; the active alarm comprises that the first user gives an alarm through a key and voice; the automatic alarm is that when the vital sign value exceeds a preset threshold range, the first user terminal is violently removed, the first user terminal is violently damaged, and the action amplitude of the first user body is abnormal.
7. The campus overlord warning method of claim 6, wherein: after receiving information sent by a first user terminal, an AI intelligent server contained in the emergency early warning cloud server preliminarily judges whether the first user suffers from campus overlong through a preset program and sends the information to an artificial expert platform, an artificial expert remotely opens an audio and video acquisition module of first user terminal equipment to acquire audio and video, and the AI intelligent server is combined to send the information to accurately judge whether the first user belongs to campus overlong.
8. The campus overlord warning method of claim 7, wherein: the emergency scheme comprises the steps that an artificial expert platform starts a sound and light warning module of first user terminal equipment, informs a second user terminal and gives out an alarm whistle; and/or, dialing 110 an alarm call.
9. An electronic device, comprising:
one or more processors; and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method according to any one of claims 5 to 8.
10. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method according to any one of claims 5 to 8.
CN202010684068.1A 2020-07-16 2020-07-16 Campus overlord early warning system and method Pending CN111820880A (en)

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