CN116233163A - Intelligent campus security management system and method based on big data - Google Patents
Intelligent campus security management system and method based on big data Download PDFInfo
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- CN116233163A CN116233163A CN202211543722.2A CN202211543722A CN116233163A CN 116233163 A CN116233163 A CN 116233163A CN 202211543722 A CN202211543722 A CN 202211543722A CN 116233163 A CN116233163 A CN 116233163A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention provides a smart campus safety management system and method based on big data, which relate to the technical field of campus intelligent management and big data information and consist of a total system platform and a plurality of subsystem platforms, wherein each subsystem platform is positioned at different access control management ends, management information is input at the access control management ends through each subsystem platform, the input management information is processed by the subsystem platforms and then stored in respective data centers, and the data centers of each subsystem platform and the data centers of the total system platform upload data to a cloud server to realize data sharing. The intelligent campus safety management system and the intelligent campus safety management method based on the big data can realize efficient verification and check-in, perform abnormality monitoring and early warning on personnel after check-in, and realize early discovery, early warning and early treatment of potential safety hazards.
Description
Technical Field
The invention relates to the technical field of campus intelligent management and big data information, in particular to an intelligent campus safety management system and method based on big data.
Background
Campus security is the most basic and important issue for schools. How to monitor the activity track of the social personnel after entering the school is an important topic of campus security work.
Thanks to the development of the internet of things, big data and cloud computing technology, campus security is currently developing towards intelligence and intellectualization. The application of big data can solve the problems of capturing, management and data processing which cannot be performed by using a conventional software tool within a certain time range, and the big data technology plays an important role in the construction process of the smart campus.
At present, intelligent campus construction still has the processing utilization not enough to be intelligent, and the work of different plates can not utilize big data analysis's result to fuse and cooperate, brings very big pressure to the security management work of income school personnel.
For example, the management efficiency of personnel entering into a school is low, the identity is checked, the personnel entering into the school temporarily are checked by the personnel entering into the school and the destination, the verification is mainly finished by manpower, and the time for the verification of personnel entering into the school is long. The phenomenon that people stay and queue up easily occurs during the peak period of school entering. And for personnel after entering a school, abnormality monitoring and early warning cannot be performed, and potential safety hazards cannot be found, early warning and early disposal can not be achieved.
Disclosure of Invention
The invention aims to provide a smart campus security management system and method based on big data, which are used for solving the defects in the background technology.
The invention aims to solve the technical problems, and is realized by adopting the following technical scheme:
an intelligent campus security management system based on big data, which is characterized in that: the system comprises a total system platform and a plurality of subsystem platforms, wherein each subsystem platform is positioned at different access control management ends, management information is input at the access control management ends through each subsystem platform, the input management information is processed by the subsystem platforms and then stored in respective data centers, and the data centers of each subsystem platform and the data centers of the total system platform upload data to a cloud server to realize data sharing.
Preferably, different authorities can be set for each subsystem platform through the total system platform, and different access control management terminals manage and complete data input according to the authorities obtained by the subsystem platforms.
Preferably, the total system platform and the subsystem platform each comprise a plurality of functional modules, and different functional modules can at least select computer-side input information, mobile phone-side input information, access control terminal input information, face recognition system input information, vehicle recognition system input information, identity card induction input information and other special certificate input information according to requirements.
Preferably, the functional module comprises a personnel management functional module, wherein the personnel management functional module at least comprises an identity recognition unit, a health condition recognition unit and an access unit, the information input of the personnel management functional module can be selected to be input by an entrance guard terminal or a mobile phone terminal, the information input by the mobile phone terminal can be realized by paying attention to public numbers in advance or recognizing specific two-dimensional codes to enter a target page, the identity information is input, the information required by management is authorized to be acquired, and after the identity information is qualified to enter a school, whether a person is matched with the identity or not is checked by the entrance guard management terminal within a certain time, the matching can be completed by a person, and the checking process of the person and the identity can be completed manually or automatically through a face recognition system or a fingerprint recognition system.
Preferably, the functional module comprises a safety management functional module, wherein the safety management functional module comprises a safety pre-judging unit, a safety protection unit, a safety rescue unit and a disposal feedback unit;
the safety pre-judging unit is used for pre-predicting potential safety hazards or impending safety accidents in advance and pre-warning according to requirements;
the safety protection unit is used for providing corresponding safety protection measures for the safety accidents which occur, avoiding the occurrence of secondary accidents and sending alarm signals to the campus;
the safety rescue unit is used for rapidly distributing rescue personnel to arrive at the site for disposal;
the treatment feedback unit is used for feeding back data of the rescue process after the rescued person is rescued so as to continuously optimize the treatment logic of the safety management functional module.
Preferably, the early warning is realized by an early warning unit, the early warning unit comprises a voice early warning unit and an indication early warning unit, and the voice early warning unit and the indication early warning unit are used for sending out voice early warning or signal lamp early warning to people or vehicles violating rules.
As an preference, the safety management functional module further comprises a track recognition unit, the track recognition unit comprises a fixed camera, a mobile camera and an infrared detector, video information in a campus is obtained through the fixed camera, dynamic video in the campus is obtained through the mobile camera, personnel infrared detection signals are obtained through the infrared detector, the fixed camera is fixedly installed in the campus, and the mobile camera can be installed on a tracking mobile car or a robot or an unmanned aerial vehicle in a school or can also work cooperatively in a plurality of modes.
Preferably, the track recognition unit acquires position information and time information on the key geographic nodes for the specific target, and calculates the stay time, the activity track and the like of the specific target on the specific geographic position through data analysis.
The invention also provides a management method of the intelligent campus security management system based on big data, which is characterized in that: the specific target is tracked, and the crowd meeting the specific target person in space at the same time in the specific geographic position can be accurately analyzed according to big data, so that the crowd closely contacted with the specific target person can be tracked quickly.
The invention also provides a management method of the intelligent campus security management system based on big data, which is characterized in that: for the authorized temporary entering of social personnel, track tracking and monitoring are carried out on a specific target, the rationality of the activity of the specific target is judged according to the registered event and destination of entering, if the specific target is judged to deviate from a normal activity area or route, the system carries out continuous tracking, and if the specific target is found to deviate from the normal activity area or route, a safety prejudging unit is started for early warning.
The beneficial effects of the invention are as follows:
the intelligent campus safety management system and the intelligent campus safety management method based on the big data can realize efficient verification and check-in, perform abnormality monitoring and early warning on personnel after check-in, and realize early discovery, early warning and early treatment of potential safety hazards.
Drawings
FIG. 1 is a schematic diagram of a system of the present invention;
FIG. 2 is a schematic diagram of functional modules of the system of the present invention.
Detailed Description
In order that the manner in which the above recited features, objects and advantages of the present invention are obtained, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Based on the examples in the embodiments, those skilled in the art can obtain other examples without making any inventive effort, which fall within the scope of the invention.
Specific embodiments of the present invention are described below with reference to the accompanying drawings.
Example 1
As shown in figure 1 of the drawings,
the intelligent campus safety management system based on big data consists of a total system platform and a plurality of subsystem platforms, wherein each subsystem platform is positioned at different access control management ends, management information is input at the access control management ends through each subsystem platform, the input management information is processed by the subsystem platform and then stored in respective data centers, and the data centers of each subsystem platform and the data centers of the total system platform upload data to a cloud server to realize data sharing. Different authorities can be set for each subsystem platform through the total system platform, and different access control management ends manage and complete data input according to the authorities obtained by the subsystem platforms. The total system platform and the subsystem platform comprise a plurality of functional modules, and different functional modules can at least select computer-side input information, mobile phone-side input information, access control terminal input information, face recognition system input information, vehicle recognition system input information, identity card induction input information and other special certificate input information according to requirements.
The function module comprises a personnel management function module, wherein the personnel management function module at least comprises an identity recognition unit, a health condition recognition unit and an access unit, the information input of the personnel management function module can be selected to be input by an access control terminal, the information input by a mobile phone end can be selected to be input by paying attention to public numbers or recognizing specific two-dimensional codes in advance to enter a target page, the identity information is input, the information required by management is authorized to be acquired, after the identity information is authenticated in advance, whether a person is matched with the identity is checked by the access control management end within a certain time, the person can enter the school without error after the person is matched with the identity, and the checking process of the person and the identity can be completed manually or automatically through a face recognition system or a fingerprint recognition system.
As shown in the figure 2 of the drawings,
the functional module comprises a safety management functional module, wherein the safety management functional module comprises a safety pre-judging unit, a safety protection unit, a safety rescue unit and a disposal feedback unit; the safety pre-judging unit is used for pre-predicting potential safety hazards or impending safety accidents in advance and pre-warning according to requirements; the safety protection unit is used for providing corresponding safety protection measures for the safety accidents which occur, avoiding the occurrence of secondary accidents and sending alarm signals to the campus; the safety rescue unit is used for rapidly distributing rescue personnel to arrive at the site for disposal; the treatment feedback unit is used for feeding back data of the rescue process after the rescued person is rescued so as to continuously optimize the treatment logic of the safety management functional module.
The pre-warning is realized by a pre-warning unit, the pre-warning unit comprises a voice pre-warning unit (for example, a sound and/or broadcast system installed at a fixed position in a school, the sound/broadcast system is moved in the school, the moving mode can be a ground moving vehicle, an automatic cruising vehicle, a robot or an unmanned plane, etc.) and an indication pre-warning unit (for example, a visual billboard, an indication lamp, a pre-warning lamp, a road sign, etc.), and the voice pre-warning unit and the indication pre-warning unit are used for sending voice pre-warning or signal lamp pre-warning to people or vehicles violating rules.
The safety management functional module further comprises a track recognition unit, the track recognition unit comprises a fixed camera (preferably having a face recognition function or a mobile object feature grabbing function), a mobile camera (preferably having a face recognition function or a mobile object feature grabbing function), an infrared detector, video recording information in a campus is obtained through the fixed camera, dynamic video recording in the campus is obtained through the mobile camera, personnel infrared detection signals are obtained through the infrared detector, the fixed camera is fixedly installed in the campus, and the mobile camera can be installed on a tracking mobile car or a robot or an unmanned aerial vehicle in a school or can work cooperatively in a plurality of modes. The track recognition unit acquires position information and time information on the key geographic nodes aiming at the specific target, and calculates the stay time, the activity track and the like of the specific target on the specific geographic position through data analysis.
For moving people or objects, a moving object feature library (face feature information, license plate number of vehicles or other feature information) in the school is established according to the occurrence frequency, the moving object which frequently enters and exits the campus is judged to be a person or a vehicle in the school according to the moving object feature library, the newly-occurring moving object is judged to be a person or a vehicle outside the school, the moving object with new features is continuously recognized according to the occurrence frequency and the activity track, and meanwhile, the judgment result is continuously adjusted, so that the moving object learning system has autonomous learning capability.
Example 2
The method for managing the intelligent campus safety management system based on the big data in the embodiment 1 is used for tracking the track of the specific target, and can accurately analyze the crowd which can meet the specific target person in space at the same time in the specific geographic position according to the big data, so that the crowd closely contacted with the specific target person can be tracked quickly.
For the authorized temporary entering of social personnel, track tracking and monitoring are carried out on a specific target, the rationality of the activity of the specific target is judged according to the registered event and destination of entering, if the specific target is judged to deviate from a normal activity area or route, the system carries out continuous tracking, and if the specific target is found to deviate from the normal activity area or route, a safety prejudging unit is started for early warning.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An intelligent campus security management system based on big data, which is characterized in that: the system comprises a total system platform and a plurality of subsystem platforms, wherein each subsystem platform is positioned at different access control management ends, management information is input at the access control management ends through each subsystem platform, the input management information is processed by the subsystem platforms and then stored in respective data centers, and the data centers of each subsystem platform and the data centers of the total system platform upload data to a cloud server to realize data sharing.
2. The big data based intelligent campus security management system of claim 1, wherein: different authorities can be set for each subsystem platform through the total system platform, and different access control management ends manage and complete data input according to the authorities obtained by the subsystem platforms.
3. The big data based intelligent campus security management system of claim 1, wherein: the total system platform and the subsystem platform comprise a plurality of functional modules, and different functional modules can at least select computer-side input information, mobile phone-side input information, access control terminal input information, face recognition system input information, vehicle recognition system input information, identity card induction input information and other special certificate input information according to requirements.
4. The big data based intelligent campus security management system of claim 3, wherein: the function module comprises a personnel management function module, wherein the personnel management function module at least comprises an identity recognition unit, a health condition recognition unit and a health code access unit, the information input of the personnel management function module can be selected to be input by an entrance guard terminal or a mobile phone terminal, the mobile phone terminal can be used for inputting information by paying attention to public numbers or recognizing specific two-dimensional codes in advance to enter a target page, inputting identity information and authorizing acquisition of health code information and journey information required by epidemic situation management, after the identity information is qualified for entering a school, whether a person is matched with the identity or not is checked by the entrance guard management terminal within a certain time through early verification, the verification process of matching the person with the identity can be completed manually, and the verification process of matching the person with the identity can be completed automatically through a face recognition system or a fingerprint recognition system.
5. The big data based intelligent campus security management system of claim 3, wherein: the functional modules comprise a safety management functional module, and the safety management functional module 8 comprises a safety pre-judging unit 9, a safety protection unit 10, a safety rescue unit 11 and a disposal feedback unit 12;
the safety prejudging unit 9 is used for predicting potential safety hazards or impending safety accidents in advance and carrying out early warning according to requirements;
the safety protection unit 10 is used for providing corresponding safety protection measures for the safety accidents which occur, avoiding the occurrence of secondary accidents and sending alarm signals to the campus;
the safety rescue unit 11 is used for rapidly distributing rescue personnel to arrive at the site for disposal;
the treatment feedback unit 12 is used for feeding back data of the rescue process after the rescuer receives the rescue, so as to continuously optimize the treatment logic of the safety management function module.
6. The big data based intelligent campus security management system of claim 5, wherein: the early warning is realized through the early warning unit 3, and the early warning unit 3 includes pronunciation early warning unit 19 and instruct early warning unit 20, pronunciation early warning unit 19 and instruct early warning unit 20 and be used for sending pronunciation early warning or signal lamp early warning to the personnel or the vehicle that violate the rule.
7. The big data based intelligent campus security management system of claim 5, wherein: the safety management functional module further comprises a track recognition unit, the track recognition unit comprises a fixed camera, a mobile camera and an infrared detector, video information in a campus is obtained through the fixed camera, dynamic video in the campus is obtained through the mobile camera, personnel infrared detection signals are obtained through the infrared detector, the fixed camera is fixedly installed in the campus, the mobile camera can be installed on a tracking mobile car or a robot or an unmanned aerial vehicle in a school, and the mobile camera can also cooperatively work in various modes.
8. The big data based intelligent campus security management system of claim 7, wherein: the track recognition unit acquires position information and time information on the key geographic nodes aiming at the specific target, and calculates the stay time, the activity track and the like of the specific target on the specific geographic position through data analysis.
9. A method for managing a smart campus security management system based on big data according to claim 8, characterized in that: during epidemic outbreak, specific targets are tracked, people meeting with specific target people in space at the same time in specific geographic positions can be accurately analyzed according to big data, and therefore fast tracking of close-connected people is achieved.
10. A method for managing a smart campus security management system based on big data according to claim 8, characterized in that: for the authorized temporary entering of social personnel, track tracking and monitoring are carried out on a specific target, the rationality of the activity of the specific target is judged according to the registered event and destination of entering, if the specific target is judged to deviate from a normal activity area or route, the system carries out continuous tracking, and if the specific target is found to deviate from the normal activity area or route, a safety prejudging unit is started for early warning.
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| CN202211543722.2A CN116233163A (en) | 2022-12-03 | 2022-12-03 | Intelligent campus security management system and method based on big data |
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| CN202211543722.2A CN116233163A (en) | 2022-12-03 | 2022-12-03 | Intelligent campus security management system and method based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116883220A (en) * | 2023-09-07 | 2023-10-13 | 成都鼎毅维元科技有限公司 | Intelligent campus dangerous situation sensing method and system based on multi-source data fusion |
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2022
- 2022-12-03 CN CN202211543722.2A patent/CN116233163A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116883220A (en) * | 2023-09-07 | 2023-10-13 | 成都鼎毅维元科技有限公司 | Intelligent campus dangerous situation sensing method and system based on multi-source data fusion |
| CN116883220B (en) * | 2023-09-07 | 2023-11-17 | 成都鼎毅维元科技有限公司 | Intelligent campus dangerous situation sensing method and system based on multi-source data fusion |
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