CN109147267A - Intelligent campus big data safe early warning platform based on cloud platform - Google Patents

Intelligent campus big data safe early warning platform based on cloud platform Download PDF

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Publication number
CN109147267A
CN109147267A CN201811204445.6A CN201811204445A CN109147267A CN 109147267 A CN109147267 A CN 109147267A CN 201811204445 A CN201811204445 A CN 201811204445A CN 109147267 A CN109147267 A CN 109147267A
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module
people
cloud server
student
information
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不公告发明人
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Wenzhou Hong Qi Mdt Infotech Ltd
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Wenzhou Hong Qi Mdt Infotech Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

The present invention discloses a kind of Intelligent campus big data safe early warning platform based on cloud platform, including controller, controller is separately connected Cloud Server, Audio Input Modules, information transmission modular and analysis logging modle, the Cloud Server is connected with smoke sensor device, video monitoring module, all-purpose card service module, sound receiving module and ambient light sensor, the information transmission modular is connected with Audio Input Modules, display module, audio output module and alarm modules, the controller is also connected with gate inhibition's module and auto dialing module, auto dialing module connects database.The present invention fast automatic can have found anomalous event in the school and staff is notified to check corresponding monitoring area in time, campus fighting incident can be found and prevented in time and bullies and humiliates the generation of event, prevent the generation and diffusion of campus electric power and fire incident, additionally it is possible to timely feedback the campus card exception consumption of student and student to student and Student monitoring people in school situation.

Description

Intelligent campus big data safe early warning platform based on cloud platform
Technical field
The invention belongs to safety monitoring technology fields, specifically, being related to a kind of Intelligent campus big data based on cloud platform Safe early warning platform.
Background technique
Student is social following foundation, and the whole society has all put into a large amount of manpower and material resources to educational undertaking, education also by Gradually changed towards quality-oriented education, in order to improve the quality of school education, is turned up outside the quality of educational resource out, improves school Garden safety is even more to pay close attention to required for people, and the Campus Security event to take place frequently now also allows people gradually to realize peace of arriving school Full importance.
Campus Security includes by campus hardware facility aging or the unexpected accident caused, such as electric leakage, fire event, also Have a fist fight including personnel in the school, school violence and personnel enter campus and threaten to the safety of student outside school, these all can shadow School development safe academic environment advantageous to student and society are rung for scholastic evaluation, therefore improve campus Security level, the academic environment for building a safety and stability be very it is necessary to, Campus Security in the prior art protection system System is mainly ensured public security by setting access control system and inspection to guarantee Campus Security, when the construction area when campus is smaller, security personnel Good supervisory role can be played and effectively avoid or reduce the generation of adverse events, but in the biggish campus of construction area Interior, good effect can be played by needing largely to employ security personnel, but this will obviously waste a large amount of human resources With the security cost in campus, when in campus, area is sufficiently large, such way just seems unrealistic, how to reduce people The generation and further diffusion for avoiding Campus Security event on the basis of power resource in time, are present campus security platform needs The main points of consideration, in order to solve this problem, the present invention provides following technical schemes.
Summary of the invention
The purpose of the present invention is to provide a kind of Intelligent campus big data safe early warning platform based on cloud platform.
The technical problem to be solved in the invention are as follows:
1, the campus security system of the prior art is mainly the image information that monitoring area is acquired by picture pick-up device, and is led to Staff is crossed to check and judge, in this way monitor area it is larger when, it is easy to there is the case where missing inspection, staff without Method finds the school violence event occurred in time;
2, the security incident relevant to student of generation quickly timely can not be notified student by the prior art in time, simultaneously Student can not be notified Student monitoring people in school state in time.
The purpose of the present invention can be achieved through the following technical solutions:
Intelligent campus big data safe early warning platform based on cloud platform, including controller, controller are separately connected cloud clothes Business device, Audio Input Modules, information transmission modular and analysis logging modle, the Cloud Server are connected with smoke sensor device, view Frequency monitoring module, all-purpose card service module, sound receiving module and ambient light sensor, the information transmission modular are connected with sound Frequency input module, display module, audio output module and alarm modules, the controller are also connected with gate inhibition's module and automatic poking Number module, auto dialing module connect database;
The video monitoring module is the IP Camera of several distribution settings, and IP Camera is separately positioned on flow of the people Big region, the small remote area of flow of the people and normal area to be monitored, video monitoring module is by video monitoring collected Information is transmitted to Cloud Server, and the Cloud Server is analyzed monitoring video information, stored and backed up, and Cloud Server is to prison Abnormal conditions in control picture are tested and analyzed;
The determination method in the Cloud Server region big to flow of the people are as follows:
S1, will go to school first 30 minutes to 30 minutes after school this be divided into T for a period of time1-TnIt is continuous and equal Deng several Time zone;
S2, Cloud Server analyze the picture in each time zone and obtain the flow of the people in the time zone Rk, wherein k is 1,2 ... n;
S3, Cloud Server record the flow of the people of each time zone every day, are continuously recording same time zone Domain TkL group flow of the people data R1-RLAfterwards, the average flow of the people R of this L group data is calculateda, collecting TkThe L+ of time zone 1 flow of the people data RL+1Afterwards, by RL+1It is compared with preset flow of the people threshold values, if RL+1More than or equal to preset threshold, control Device control alarm modules processed sound an alarm, and staff carries out crowd evacuation in time, the accident of trampling is prevented, if RL+1It is less than Preset threshold passes through formula A=∣ RL+1-Ra∣/Ra× 100% calculates the value of A, when A is more than or equal to preset value, controller control Alarm modules processed sound an alarm, while Cloud Server rejects this detected flow of the people RkData, when A is less than preset value When, alarm modules are not reacted, while Cloud Server is by flow of the people RL+1Replace R1, and recalculate TkTime zone is averaged Flow of the people Ra
The determination method of the Cloud Server remote area small to flow of the people are as follows:
It is SS1, the flow of the people large area taken in the monitoring area of IP Camera is independent, in following step In the region is not analyzed and processed;
SS2, when Cloud Server recognizes presence of people in the monitoring area of IP Camera, start timing, if In continuous time t, someone, controller control alarm modules are sounded an alarm always in monitoring area;
The display module is used to show the real time monitoring video information of monitoring area;
The smoke sensor device distribution is arranged in Campus buildingss, for detecting smokescope;
Corridor, corridor, laboratory and the storage that campus is arranged in the sound receiving module distribution are inflammable, explosive, easy It minces in the locker room of product and chemicals, sound receiving module is used to receive the acoustic information of its installation region, each Corresponding intensity of sound threshold values is arranged in the corresponding region of sound receiving module, when sound receiving module detects that is produced from corresponding region When the raw intensity of sound for being higher than threshold values, controller control alarm modules are sounded an alarm, and remind Security Personnel to the prison of corresponding region Control picture is checked;
The ambient light sensor distribution is arranged on electric power laying-out and controller switching equipment and terminal box etc. are electrically set Standby nearby ambient light sensor is used to detect intensity information around, and will test result and be transmitted to Cloud Server and divided Analysis judgement, the controller make further instruction based on the analysis results;
The method that the intensity information that the Cloud Server transmits ambient light sensor is analyzed and determined are as follows:
There is no acutely becoming for temporal light intensity of temporal light intensity in section where ambient light sensor detects it When change, controller is not reacted;
When ambient light sensor detects that acute variation and temporal light intensity dimension occur for the temporal light intensity of its region When holding within the scope of the waving interval being worth after variation, it is considered as caused intensity variation of turning off the light of turning on light, controller is not made instead It answers;
When ambient light sensor detects that the temporal light intensity of its region occurs acute variation and temporal light intensity and exists Restore the light intensity fluctuations interval range to before changing after variation rapidly, controller control alarm modules send a warning, mention The staff that wakes up checks monitoring information and recalled by display to be checked, timely discovery circuit aging or circuit connection Problem generates electric spark phenomenon, and quickly makes a response.
As further scheme of the invention, gate inhibition's module is used to read the letter of checking card that student enters or leave school Breath, for the auto dialing module for the contact information in reading database, contact information includes but is not limited to learn Raw or the phone number of Student monitoring people, mailbox, wechat, and corresponding prompt information is issued to read contact method.
As further scheme of the invention, student, which is recorded, in gate inhibition's module occurs being late, leave early and lacking beating When card record, the controller control auto dialing module goes out prompt information to Student monitoring human hair.
As further scheme of the invention, the all-purpose card service module uses campus for reading student in school The spending limit record that all-purpose card carries out, and spending limit record is transmitted to Cloud Server, campus of the Cloud Server to student The spending limit record that all-purpose card carries out is analyzed, and single spending limit is excessive and consumption is frequently listed in abnormal consumption Situation, when there is abnormal consumption, controller controls auto dialing module and goes out to prompt letter to student or Student monitoring human hair Breath.
As further scheme of the invention, the Audio Input Modules are used to receive the audio letter of Security Personnel's input Breath, the audio-frequency information inputted are transmitted to audio output module by information transmission modular, and audio output module is by audio-frequency information It is broadcasted in campus.
As further scheme of the invention, the analysis logging modle is made alarm for record initiation alarm module and is moved The time of origin of the anomalous event of work and generation position.
Beneficial effects of the present invention:
1, it is fast automatic discovery campus in anomalous event and notify staff to check corresponding monitoring area simultaneously in time Reasonable judgement is made, can find and prevent campus fighting incident in time and bullies and humiliates the generation of event, prevents campus electric power and fire The generation of calamity accident and further diffusion;
2, the campus card exception consumption of student can be notified student and Student monitoring people in time, while passes through gate inhibition Module, auto dialing module timely feedback student to Student monitoring people in school situation.
Detailed description of the invention
Present invention is further described in detail in the following with reference to the drawings and specific embodiments.
Fig. 1 is system structure diagram of the invention.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common Technical staff's all other embodiment obtained without creative efforts belongs to the model that the present invention protects It encloses.
Intelligent campus big data safe early warning platform based on cloud platform, as shown in Figure 1, including controller, controller point Not Lian Jie Cloud Server, Audio Input Modules, information transmission modular and analysis logging modle, the Cloud Server is connected with smog Sensor, video monitoring module, all-purpose card service module, sound receiving module and ambient light sensor, the information transmit mould Block is connected with Audio Input Modules, display module, audio output module and alarm modules, and the controller is also connected with gate inhibition's mould Block and auto dialing module, auto dialing module connect database.
The video monitoring module is the IP Camera of several distribution settings, and IP Camera is separately positioned on flow of the people Big region, the small remote area of flow of the people and normal area to be monitored, video monitoring module is by video monitoring collected Information is transmitted to Cloud Server, and the Cloud Server is analyzed monitoring video information, stored and backed up, and Cloud Server is to prison Abnormal conditions in control picture are tested and analyzed;
The determination method in the Cloud Server region big to flow of the people are as follows:
S1, will go to school first 30 minutes to 30 minutes after school this be divided into T for a period of time1-TnIt is continuous and equal Deng several Time zone;
S2, Cloud Server analyze the picture in each time zone and obtain the flow of the people in the time zone Rk, wherein k is 1,2 ... n;
S3, Cloud Server record the flow of the people in each time zone, in continuously record TkThe L of time zone Group flow of the people data R1-RLAfterwards, the average flow of the people R of this L group data is calculateda, collecting TkThe L+1 times of time zone Flow of the people data RL+1Afterwards, by RL+1It is compared with preset flow of the people threshold values, if RL+1More than or equal to preset threshold, control Device control alarm modules sound an alarm, and staff carries out crowd evacuation in time, the accident of trampling is prevented, if RL+1Less than pre- If threshold values, pass through formula A=∣ RL+1-Ra∣/Ra× 100% calculates the value of A, when A is greater than or equal to preset value, controller control Alarm modules processed sound an alarm, while Cloud Server rejects this detected flow of the people RkData, when A is less than preset value When, alarm modules are not reacted, while Cloud Server is by flow of the people RL+1Replace R1, and recalculate TkTime zone is averaged Flow of the people Ra
The method using video analysis statistics flow of the people mentioned in step S2 and step S3 is well-known technique, therefore herein It is no longer described extensively, the determination method in the Cloud Server region big to flow of the people can find the big prison of flow of the people in time The flow of the people exception information in region is controlled, and staff is notified to carry out evacuation work in time, prevents the accident of trampling, simultaneously also Can the flow of the people information to a certain period be monitored, prevent campus group affray event, it is flat by constantly updating Equal flow of the people Ra, can guarantee the real-time of data, reduce the wrong report number of alarm modules.
The determination method of the Cloud Server remote area small to flow of the people are as follows:
It is SS1, the flow of the people large area taken in the monitoring area of IP Camera is independent, in following step In the region is not analyzed and processed, reduce fringe region to test and analyze result interference;
SS2, when Cloud Server recognizes presence of people in the monitoring area of IP Camera, start timing, if In continuous time t, someone, controller control alarm modules are sounded an alarm always in monitoring area;
The display module is used to show the real time monitoring video information of monitoring area;
Smoke sensor device distribution is arranged in Campus buildingss, for detecting smokescope, finds scene of fire in time, Avoid the further diffusion of fire;
Corridor, corridor, laboratory and the storage that campus is arranged in the sound receiving module distribution are inflammable, explosive, easy It minces in the locker room of product and chemicals, sound receiving module is used to receive the acoustic information of its installation region, each Corresponding intensity of sound threshold values is arranged in the corresponding region of sound receiving module, when sound receiving module detects that is produced from corresponding region When the raw intensity of sound for being higher than threshold values, controller control alarm modules are sounded an alarm, and remind Security Personnel to the prison of corresponding region Control picture is checked, finds security incident to be processed in time;
The ambient light sensor distribution is arranged on electric power laying-out and controller switching equipment and terminal box etc. are electrically set Standby nearby ambient light sensor is used to detect intensity information around, and will test result and be transmitted to Cloud Server and divided Analysis judgement, the controller make further instruction based on the analysis results;
The method that the intensity information that the Cloud Server transmits ambient light sensor is analyzed and determined are as follows:
There is no when acute variation, controller is or not temporal light intensity in section where ambient light sensor detects it It reacts;
When ambient light sensor detects that acute variation and temporal light intensity dimension occur for the temporal light intensity of its region When holding within the scope of the waving interval being worth after variation, it is considered as caused intensity variation of turning off the light of turning on light, controller is not made instead It answers;
When ambient light sensor detects that the temporal light intensity of its region occurs acute variation and temporal light intensity and exists Restore the light intensity fluctuations interval range to before changing after variation rapidly, controller control alarm modules send a warning, mention The staff that wakes up checks monitoring information and recalled by display to be checked, timely discovery circuit aging or circuit connection Problem generates electric spark phenomenon, and quickly makes a response, and avoids the generation and diffusion of electric power accident and fire.
Gate inhibition's module is used to read the information of checking card that student enters or leave school;
For the contact information in reading database, contact information includes but unlimited the auto dialing module Corresponding prompt letter is issued in the phone number of student or Student monitoring people, mailbox, wechat, and to read contact method Breath;
When gate inhibition's module be recorded student occur being late, leave early and lack check card record when, controller controls automatic poking Number module goes out prompt information to Student monitoring human hair;
The all-purpose card service module is used to read the spending limit note that student uses all-in-one campus card to carry out in school Record, and spending limit record is transmitted to Cloud Server, the spending limit that Cloud Server carries out the all-in-one campus card of student is remembered Record is analyzed, and single spending limit is excessive and consumption is frequently listed in abnormal consumption, consumes feelings when there is exception When condition, controller controls auto dialing module and goes out prompt information to student or Student monitoring human hair;
The Audio Input Modules are used to receive the audio-frequency information of Security Personnel's input, and the audio-frequency information inputted is by letter Breath transmission module is transmitted to audio output module, and audio output module broadcasts audio-frequency information in campus, sends out in Security Personnel When existing Campus Security event, evacuation crowd can be instructed by the audio-frequency information of broadcast or prevents the further hair of malignant event It is raw.
The analysis logging modle is used to record the time of origin for causing the anomalous event that alarm module makes actuation of an alarm With generation position, Security Personnel is facilitated to analyze, judge and check record data.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.

Claims (6)

1. the Intelligent campus big data safe early warning platform based on cloud platform, which is characterized in that including controller, controller difference Cloud Server, Audio Input Modules, information transmission modular and analysis logging modle are connected, the Cloud Server is connected with smog biography Sensor, video monitoring module, all-purpose card service module, sound receiving module and ambient light sensor, the information transmission modular Audio Input Modules, display module, audio output module and alarm modules are connected with, the controller is also connected with gate inhibition's module With auto dialing module, auto dialing module connects database;
The video monitoring module is the IP Cameras of several distribution settings, and it is big that IP Camera is separately positioned on flow of the people The small remote area of region, flow of the people and normal area to be monitored, video monitoring module is by video monitoring information collected It is transmitted to Cloud Server, the Cloud Server is analyzed monitoring video information, stored and backed up, and Cloud Server is to monitoring picture Abnormal conditions in face are tested and analyzed;
The determination method in the Cloud Server region big to flow of the people are as follows:
S1, will go to school first 30 minutes to 30 minutes after school this be divided into T for a period of time1-TnWhen continuous and equal Deng several Between region;
S2, Cloud Server analyze the picture in each time zone and obtain the flow of the people R in the time zonek, wherein K is 1,2 ... n;
S3, Cloud Server record the flow of the people of each time zone every day, are continuously recording same time zone Tk's L group flow of the people data R1-RLAfterwards, the average flow of the people R of this L group data is calculateda, collecting TkThe L+1 times of time zone Flow of the people data RL+1Afterwards, by RL+1It is compared with preset flow of the people threshold values, if RL+1More than or equal to preset threshold, controller Control alarm modules sound an alarm, if RL+1Less than preset threshold, pass through formula A=∣ RL+1-Ra∣/Ra× 100% calculates A's Value, when A is more than or equal to preset value, controller control alarm modules are sounded an alarm, while Cloud Server is rejected this time and detected The flow of the people R arrivedkData, when A is less than preset value, alarm modules are not reacted, while Cloud Server is by flow of the people RL+1It replaces Change R1, and recalculate TkThe average flow of the people R of time zonea
The determination method of the Cloud Server remote area small to flow of the people are as follows:
It is SS1, the flow of the people large area taken in the monitoring area of IP Camera is independent, in following step not The region is analyzed and processed;
SS2, when Cloud Server recognizes presence of people in the monitoring area of IP Camera, start timing, if continuous In time t, someone, controller control alarm modules are sounded an alarm always in monitoring area;
The display module is used to show the real time monitoring video information of monitoring area;
The smoke sensor device distribution is arranged in Campus buildingss, for detecting smokescope;
Corridor, corridor, laboratory and inflammable, the explosive, breakable object of storage in campus is arranged in the sound receiving module distribution In the locker room of product and chemicals, sound receiving module is used to receive the acoustic information of its installation region, connects in each sound It receives the corresponding region of module and corresponding intensity of sound threshold values is set, be higher than when sound receiving module detects that corresponding region generates When the intensity of sound of threshold values, controller control alarm modules are sounded an alarm, and remind Security Personnel to the monitored picture of corresponding region It is checked;
The ambient light sensor distribution is arranged on electric power laying-out and the electrical equipments such as controller switching equipment and terminal box are attached Closely, ambient light sensor is used to detect the intensity information of surrounding, and will test result and be transmitted to Cloud Server and analyze and sentence Disconnected, the controller makes further instruction based on the analysis results;
The method that the intensity information that the Cloud Server transmits ambient light sensor is analyzed and determined are as follows:
There is no when acute variation, controller is not made for temporal light intensity in section where ambient light sensor detects it Reaction;
When ambient light sensor detects that the temporal light intensity of its region occurs acute variation and temporal light intensity and maintains When within the scope of the waving interval being worth after variation, it is considered as caused intensity variation of turning off the light of turning on light, controller is not reacted;
When ambient light sensor detects that the temporal light intensity of its region occurs acute variation and temporal light intensity and changing Restore the light intensity fluctuations interval range to before changing rapidly afterwards, controller control alarm modules send a warning, and remind work Make personnel and check monitoring information by display and recall to check, timely discovery circuit aging or circuit connection problem Electric spark phenomenon is generated, and is quickly made a response.
2. the Intelligent campus big data safe early warning platform according to claim 1 based on cloud platform, which is characterized in that institute The information of checking card that gate inhibition's module enters or leave school for reading student is stated, the auto dialing module is used for reading database In contact information, contact information includes but is not limited to the phone number of student or Student monitoring people, mailbox, micro- Letter, auto dialing module issue corresponding prompt information to read contact method.
3. the Intelligent campus big data safe early warning platform according to claim 1 based on cloud platform, which is characterized in that institute It states gate inhibition's module and student is recorded occurs being late, leave early and lack and check card when recording, the controller controls auto dialing mould Block goes out prompt information to Student monitoring human hair.
4. the Intelligent campus big data safe early warning platform according to claim 1 based on cloud platform, which is characterized in that institute All-purpose card service module is stated for reading the spending limit record that student uses all-in-one campus card to carry out in school, and will consumption Amount record is transmitted to Cloud Server, and Cloud Server analyzes the spending limit record that the all-in-one campus card of student carries out, Single spending limit is excessive and consumption is frequently listed in abnormal consumption, when there is abnormal consumption, controller It controls auto dialing module and goes out prompt information to student or Student monitoring human hair.
5. the Intelligent campus big data safe early warning platform according to claim 1 based on cloud platform, which is characterized in that institute It states Audio Input Modules and passes through information transmission modular for receiving the audio-frequency information of Security Personnel's input, the audio-frequency information inputted It is transmitted to audio output module, audio output module broadcasts audio-frequency information in campus.
6. the Intelligent campus big data safe early warning platform according to claim 1 based on cloud platform, which is characterized in that institute State analysis logging modle be used for record cause alarm module make actuation of an alarm anomalous event time of origin with generation position.
CN201811204445.6A 2018-10-16 2018-10-16 Intelligent campus big data safe early warning platform based on cloud platform Pending CN109147267A (en)

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109887228A (en) * 2019-03-21 2019-06-14 杭州虹晟信息科技有限公司 Safety pre-warning system based on big data
CN110060365A (en) * 2019-04-23 2019-07-26 安徽致远慧联电子科技有限公司 A kind of student's Trajectory Safety analysis and management system based on all-purpose card technology
CN111145459A (en) * 2020-01-15 2020-05-12 深圳耀宇信息技术有限公司 Intelligent POS machine with consumer behavior analysis and payment environment safety detection functions
CN111210591A (en) * 2019-12-30 2020-05-29 江西理工大学 Artificial intelligence early warning system
CN111614940A (en) * 2020-05-26 2020-09-01 重庆跃途科技有限公司 Campus security defense system based on data link technology
CN112132711A (en) * 2020-08-07 2020-12-25 上海有间建筑科技有限公司 Campus monitoring system applied to smart campus
CN112804491A (en) * 2020-12-31 2021-05-14 重庆惠统智慧科技有限公司 Campus security supervision method, system, server and storage medium
CN113206935A (en) * 2021-04-13 2021-08-03 华北水利水电大学 Campus dual-prevention security prevention and control cloud platform and method
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CN114694290A (en) * 2022-04-25 2022-07-01 武汉云物智创数字科技有限公司 Intelligent management system for emergency live-action
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CN115546903A (en) * 2022-12-05 2022-12-30 北京联合永道软件股份有限公司 Campus student behavior risk early warning method and system
CN118135770A (en) * 2024-05-07 2024-06-04 安徽中科星联信息技术有限公司 Campus safety prevention and control early warning system and method
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104680707A (en) * 2013-11-28 2015-06-03 张丽 High-rise building disaster response system
CN204926398U (en) * 2015-09-29 2015-12-30 郑州大学 House security protection system based on zigBee network
CN204926397U (en) * 2015-09-28 2015-12-30 赵军 Spectral analysis transmission computer lab environment wireless monitoring system
CN205177074U (en) * 2015-12-11 2016-04-20 郑州湛思电子科技有限公司 Campus control and management system
CN106713857A (en) * 2016-12-15 2017-05-24 重庆凯泽科技股份有限公司 Campus security system and method based on intelligent videos
CN107067638A (en) * 2017-05-15 2017-08-18 安徽亿纵电子科技有限公司 A kind of Campus Security guard system
CN107578600A (en) * 2017-07-19 2018-01-12 台州三石量子科技有限公司 Safe campus intelligent management system
CN107918993A (en) * 2017-12-28 2018-04-17 重庆厚盾安全技术有限公司 Wisdom Safe Campus big data safe early warning platform

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104680707A (en) * 2013-11-28 2015-06-03 张丽 High-rise building disaster response system
CN204926397U (en) * 2015-09-28 2015-12-30 赵军 Spectral analysis transmission computer lab environment wireless monitoring system
CN204926398U (en) * 2015-09-29 2015-12-30 郑州大学 House security protection system based on zigBee network
CN205177074U (en) * 2015-12-11 2016-04-20 郑州湛思电子科技有限公司 Campus control and management system
CN106713857A (en) * 2016-12-15 2017-05-24 重庆凯泽科技股份有限公司 Campus security system and method based on intelligent videos
CN107067638A (en) * 2017-05-15 2017-08-18 安徽亿纵电子科技有限公司 A kind of Campus Security guard system
CN107578600A (en) * 2017-07-19 2018-01-12 台州三石量子科技有限公司 Safe campus intelligent management system
CN107918993A (en) * 2017-12-28 2018-04-17 重庆厚盾安全技术有限公司 Wisdom Safe Campus big data safe early warning platform

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CN109887228A (en) * 2019-03-21 2019-06-14 杭州虹晟信息科技有限公司 Safety pre-warning system based on big data
CN110060365A (en) * 2019-04-23 2019-07-26 安徽致远慧联电子科技有限公司 A kind of student's Trajectory Safety analysis and management system based on all-purpose card technology
CN111210591A (en) * 2019-12-30 2020-05-29 江西理工大学 Artificial intelligence early warning system
CN111145459A (en) * 2020-01-15 2020-05-12 深圳耀宇信息技术有限公司 Intelligent POS machine with consumer behavior analysis and payment environment safety detection functions
CN111614940A (en) * 2020-05-26 2020-09-01 重庆跃途科技有限公司 Campus security defense system based on data link technology
CN112132711A (en) * 2020-08-07 2020-12-25 上海有间建筑科技有限公司 Campus monitoring system applied to smart campus
CN112804491A (en) * 2020-12-31 2021-05-14 重庆惠统智慧科技有限公司 Campus security supervision method, system, server and storage medium
CN113206935A (en) * 2021-04-13 2021-08-03 华北水利水电大学 Campus dual-prevention security prevention and control cloud platform and method
CN113867453A (en) * 2021-09-17 2021-12-31 苏州城之瞳安防智能科技有限公司 System, method and medium for campus security
CN114694290A (en) * 2022-04-25 2022-07-01 武汉云物智创数字科技有限公司 Intelligent management system for emergency live-action
CN114881305A (en) * 2022-04-25 2022-08-09 成都诺识信息技术有限公司 Prediction early warning system and prediction method for canteen
CN114881305B (en) * 2022-04-25 2024-07-16 成都诺识信息技术有限公司 Canteen prediction early warning system and prediction method thereof
CN115546903A (en) * 2022-12-05 2022-12-30 北京联合永道软件股份有限公司 Campus student behavior risk early warning method and system
CN118135770A (en) * 2024-05-07 2024-06-04 安徽中科星联信息技术有限公司 Campus safety prevention and control early warning system and method

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Application publication date: 20190104