CN111105603A - Venue and stadium integrated security management platform based on big data - Google Patents
Venue and stadium integrated security management platform based on big data Download PDFInfo
- Publication number
- CN111105603A CN111105603A CN201911328437.7A CN201911328437A CN111105603A CN 111105603 A CN111105603 A CN 111105603A CN 201911328437 A CN201911328437 A CN 201911328437A CN 111105603 A CN111105603 A CN 111105603A
- Authority
- CN
- China
- Prior art keywords
- equipment
- security
- maintenance
- module
- venue
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Emergency Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Human Computer Interaction (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a large data-based Venue and stadium comprehensive security management platform, which is used for solving the problem of poor linkage among security equipment in the conventional Venue and stadium security system; the system comprises a venue security module, a linkage control module, a server, a big data analysis module, a track analysis module, an early warning module, a maintenance calculation module, a maintenance management module and a registration login module; according to the method, the linkage response speed of the security equipment in the Venue arena can be increased through linkage switching of the security equipment, so that the linkage performance of the Venue arena is improved; the security equipment is conveniently and reasonably maintained and managed by calculating the maintenance value of the security equipment, people entering the Venue are subjected to face recognition monitoring and early warning security, the track of the people is obtained through the track analysis module, and the moving track of the people entering the Venue is conveniently displayed.
Description
Technical Field
The invention relates to the technical field of security of Venue venues, in particular to a Venue venues comprehensive security management platform based on big data.
Background
The current important or first-class (provincial) Venue venues in China are nearly 200 at present, and the increase of about 6% is kept in recent years. Most of the security systems of the venues are older and need to be updated, and some of the security systems are upgraded and modified in recent years, but are limited by the development bottleneck of the security platform integration technology, and the linkage among the security systems is poor.
In the patent CN105120205A intelligent network video monitoring and security management platform linkage system, although the system adopts the optical fiber to perform digital video signal transmission technology, the system has the technical advantages of long-distance transmission, high transmission speed, stable signal and the like, and is linked with an alarm system, an access control system, a fire protection system and the like through a local area network; but has the following disadvantages: the security equipment cannot be linked according to the response speed of the security equipment, so that the linkage response speed is low and the linkage performance is poor.
Disclosure of Invention
The invention aims to provide a large data-based integrated security management platform for a Venue museum, which can improve the linkage response speed of security equipment in the Venue museum through linkage switching of the security equipment, thereby improving the linkage performance of the Venue museum; the security equipment is conveniently and reasonably maintained and managed by calculating the maintenance value of the security equipment, and meanwhile, the maintenance personnel corresponding to the maintained security equipment is reasonably distributed by the distribution management module to maintain the security equipment; the person entering the Venue is subjected to face recognition monitoring, early warning and security protection, and the positions are sequentially connected according to time according to the positions of the person and the corresponding position time through the track analysis module to obtain the track of the person, so that the moving track of the person entering the Venue can be conveniently displayed.
The technical problem to be solved by the invention is as follows:
(1) how to analyze according to the response time of the security equipment, and through the linkage switching among the security equipment, realize and improve the linkage response speed of the security equipment in the Venue arena, thus improve the linkage performance of the Venue arena; the problem that linkage among various security devices in the security system of the Venue stadium is poor is solved;
the purpose of the invention can be realized by the following technical scheme: the Venue and Venue integrated security management platform based on big data comprises a venue security module, a linkage control module, a server, a big data analysis module, a track analysis module, an early warning module, a maintenance calculation module, a maintenance management module and a registration login module;
the venue security module is used for performing security monitoring on the Venue venue and sending monitoring data to the server for storage; the monitoring data comprises image information, personnel identity information, smoke information and temperature and humidity information;
the linkage control module is used for carrying out linkage control on the security equipment; the security equipment comprises a monitoring camera, an electronic gate, a voice interphone, a smoke sensor and a temperature and humidity sensor; the security equipment is connected with the linkage control module through a connecting cable; the security equipment is in communication connection through a cable;
the linkage control unit comprises a linkage control unit, a linkage acquisition unit and a linkage analysis unit; the linkage control unit is used for sending a linkage control signal to the security equipment; the linkage acquisition unit is used for acquiring the time when the linkage control unit sends the linkage control signal and the time when the security equipment receives the linkage control signal; the linkage collection unit sends the moment of linkage control signal and the moment of security protection equipment receiving the linkage control signal of gathering to the linkage analysis unit, and the linkage analysis unit is used for analyzing the response time and the linkage switching of security protection equipment, and concrete analysis step is as follows:
the method comprises the following steps: setting security protection equipment as Pi, i is 1, 2, … … and n; the time of sending the linkage control signal is recorded as T1; the linkage control signal received by the security equipment through the connecting cable is recorded as T2Pi;
Step two: using the formula T3pi=T1-T2piObtaining the response time difference T3 of the security equipmentPi(ii) a When the response time difference is larger than a set threshold value, linkage switching analysis is carried out; marking the corresponding security equipment as switching equipment, and marking the switching equipment as Pj, wherein j belongs to i;
step three: acquiring the position of the switching equipment, and drawing a circle with a preset radius by taking the switching equipment as a circle center to form a screening range; acquiring security protection equipment in the screening range, and marking the security protection equipment as primary selection equipment;
step four: acquiring the response time difference of the security equipment, comparing the response time difference with the response time difference of the switching equipment, and marking the initially selected equipment with the response time difference smaller than the response time difference of the switching equipment as preferred equipment;
step five: the linkage control unit controls the preferred equipment to send the linkage control signal to the switching equipment, and collects the sending time of the preferred equipment and the receiving time of the switching equipment; calculating the sending time of the priority equipment and the receiving time of the switching equipment to obtain a switching time difference; selecting the priority equipment with the minimum switching time difference and marking the priority equipment as the selected security equipment;
step six: the selected security equipment and the switching equipment are linked and switched, and the method is specifically represented as follows: when the selected security equipment receives the linkage control signal, the selected security equipment simultaneously sends the linkage control signal to the corresponding switching equipment;
the big data analysis module is used for acquiring and analyzing image information and personnel identity information in the server, and comprises the following specific analysis steps:
the method comprises the following steps: setting personnel entering the Venue stadium as Dk; k is 1, … …, n; the face photo corresponding to the person is recorded as RDk;
Step two: identifying the face in the monitoring video through a deep learning algorithm to obtain face data; matching the face data with the face photos; when the corresponding face photo is matched, the position of the monitoring camera is the position of the person; meanwhile, the shooting time corresponding to the monitoring camera is the position time of the person;
step three: the big data analysis module sends the positions of the personnel and the corresponding position time to the track analysis module;
step four: the big data analysis module carries out early warning analysis on personnel entering the Venue and stadium; setting the time for a person to pass through the electronic gate to be T1Rk;
Step five: the current time of the system is recorded as T4; using the formula T5Rk=T4-T1Rk(ii) a Obtaining the time length T5 of entering the hall corresponding to the obtained personRk;
Step six: when the time length of entering the shop is longer than a set threshold value and the person face picture is matched with the person face picture, an early warning instruction is generated, and the big data analysis module sends the early warning instruction to the early warning module and the linkage control module through the server;
the early warning module receives the early warning instruction and sends the face picture to the mobile phone terminal of the corresponding worker; the linkage control module receives the early warning instruction and then controls the electronic gate to be closed, and simultaneously controls the voice interphone to perform voice alarm;
furthermore, the security module comprises a video monitoring unit, an access control unit, a voice talkback unit, a smoke monitoring unit and a temperature and humidity monitoring unit; the video monitoring unit comprises a plurality of monitoring cameras which are distributed and installed indoors and outdoors in the Venue stadium; the plurality of monitoring cameras are used for shooting indoor and outdoor image information of the Venetian stadium; the image information comprises a monitoring video, the serial number of the monitoring camera and the shooting time of the monitoring camera; the entrance guard unit comprises an electronic gate which is arranged at the entrance and the exit of the Venue; the electronic gate is used for identifying the identity information of people entering the Venue and people exiting the Venue; the personnel identity information comprises an identity card number, a face photo and a mobile phone number; the voice intercom unit comprises a plurality of voice intercom devices which are distributed and installed in the Venetian gymnasium; the voice interphone is used for voice talkback and playing early warning information;
the smoke monitoring unit comprises a plurality of smoke sensors, and the smoke sensors are used for monitoring smoke information in the Venue stadium; the temperature and humidity monitoring unit comprises a plurality of temperature sensors which are distributed and installed in the Venue stadium; the temperature and humidity sensor is used for monitoring temperature and humidity information in the Venue and stadium room;
further, the data acquisition module is used for acquiring basic information of the security equipment; the basic information comprises the position of the security equipment, the electrifying time length, the model of the security equipment and the number of switching equipment corresponding to the security equipment and is sent to the server; the electrifying duration is the time difference between the current time and the last maintenance time of the system; when the security equipment has no maintenance time, the electrifying time is the time difference between the current time of the system and the installation time of the security equipment; the maintenance calculation module is used for acquiring basic information of the security equipment in the server and calculating a maintenance value, and the specific calculation steps are as follows:
the method comprises the following steps: setting the power-on time of the security equipment as DPi(ii) a The number of switching devices is recorded as UPi;
Step two: setting a preset integral value corresponding to the model, matching the model of the security equipment with the preset integral value corresponding to the model to obtain a corresponding preset integral value, and marking the preset integral value as JPi;
Step three: using formulasObtaining a maintenance value WH of the security equipmentPi(ii) a Wherein λ 1Pi、λ2Pi、λ3PiPresetting a proportional coefficient corresponding to the security equipment; mu.sPiThe value of the correction factor corresponding to the security equipment is 0.2365847;
step four: when the maintenance value is larger than a set threshold value, the security protection equipment is marked as the security protection equipment to be maintained;
step five: the maintenance calculation module sends the position and the model of the security equipment to be maintained to the maintenance management module;
the maintenance management module is used for distributing the security equipment to be maintained to the corresponding maintainer mobile phone terminal, and the specific distribution steps are as follows:
the method comprises the following steps: acquiring maintenance information corresponding to maintenance personnel, screening the maintenance information, acquiring the maintenance personnel with the same model as the to-be-maintained security equipment, and marking the maintenance personnel as distribution personnel;
step two: setting the total number of the distribution personnel to be maintained as Z1; the total maintenance is recorded as Z2;
step three: acquiring the job entry duration of the distributor according to the job entry date and the current time of the system, and recording the job entry duration as Z3;
step four: using formulasAcquiring a distribution value Z corresponding to a distributor; wherein b1, b2 and b3 are all preset proportionality coefficients;
step five: sending the position and the model of the security equipment to be maintained to a mobile phone terminal of a distributor with the maximum distribution value; meanwhile, the total number of the distribution personnel to be maintained is increased by one;
step six: the method comprises the following steps that a distributor sends a maintenance instruction and a mobile phone positioning position to a distribution management module through a mobile phone terminal; the distribution management module matches the mobile phone positioning position with the position of the security equipment to be maintained, and after the matching is successful, the distribution management module sends a maintenance starting instruction to a mobile phone terminal of a distributor; the method comprises the following steps that a distributor sends a maintenance completion instruction to a distribution management module through a mobile phone terminal, and after the distribution management module receives the maintenance completion instruction, the maintenance total amount of the distributor is increased by one;
further, the trajectory analysis module is used for sequentially connecting positions according to the positions of the personnel and the corresponding position time according to time to obtain the trajectory of the personnel;
further, the registration and login module is used for staff and maintenance staff of the Venue to submit staff information and maintenance information for registration and send the staff information which is successfully registered into the server; the staff information comprises a name, a mobile phone number and an identity card number; the maintenance information comprises a name, a mobile phone number, the time of entry, an identity card number and the model of the maintenance security equipment;
furthermore, a signal transmitter for transmitting the linkage control signal and a receiver for receiving the linkage control signal are arranged in the security equipment;
compared with the prior art, the invention has the beneficial effects that:
1. the linkage analysis unit is used for analyzing the response time and the linkage switching of the security equipment, and when the response time difference is larger than a set threshold value, linkage switching analysis is carried out; the linkage control unit controls the preferred equipment to send the linkage control signal to the switching equipment, and collects the sending time of the preferred equipment and the receiving time of the switching equipment; calculating the sending time of the priority equipment and the receiving time of the switching equipment to obtain a switching time difference; establishing linkage switching between the selected security equipment and switching equipment; by linkage switching of the security equipment, the linkage response speed of the security equipment in the Venue stadium can be increased, so that the linkage performance of the Venue stadium is improved;
2. the maintenance calculation module calculates the maintenance value of the security equipment, and obtains the maintenance value of the security equipment by using a formula; when the maintenance value is larger than a set threshold value, the security protection equipment is marked as the security protection equipment to be maintained; the maintenance calculation module sends the position and the model of the security equipment to be maintained to the maintenance management module; the maintenance management module is used for distributing the security equipment to be maintained to the corresponding maintainer mobile phone terminal; the security equipment is conveniently and reasonably maintained and managed by calculating the maintenance value of the security equipment, and meanwhile, the maintenance personnel corresponding to the maintained security equipment is reasonably distributed by the distribution management module to maintain the security equipment;
3. the big data analysis module analyzes image information and personnel identity information, and obtains face data by identifying faces in the monitoring video through a deep learning algorithm; matching the face data with the face photos; when the corresponding face photo is matched, the big data analysis module sends the position of the person and the corresponding position time to the track analysis module; the big data analysis module carries out early warning analysis on personnel entering the Venue and stadium; when the time length of entering the shop is longer than a set threshold value and the person face picture is matched with the person face picture, an early warning instruction is generated, and the big data analysis module sends the early warning instruction to the early warning module and the linkage control module through the server; the person entering the Venue is subjected to face recognition monitoring, early warning and security protection, and the positions are sequentially connected according to time according to the positions of the person and the corresponding position time through the track analysis module to obtain the track of the person, so that the moving track of the person entering the Venue can be conveniently displayed.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a large data-based Venue stadium integrated security management platform according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the Venue and Venue integrated security management platform based on big data comprises a venue security module, a linkage control module, a server, a big data analysis module, a track analysis module, an early warning module, a maintenance calculation module, a maintenance management module and a registration login module;
the venue security module is used for performing security monitoring on the Venue venue and sending monitoring data to the server for storage; the monitoring data comprises image information, personnel identity information, smoke information and temperature and humidity information;
the linkage control module is used for carrying out linkage control on the security equipment; the security equipment comprises a monitoring camera, an electronic gate, a voice interphone, a smoke sensor and a temperature and humidity sensor; the security equipment is connected with the linkage control module through a connecting cable; the security equipment is in communication connection through a cable;
the linkage control unit comprises a linkage control unit, a linkage acquisition unit and a linkage analysis unit; the linkage control unit is used for sending a linkage control signal to the security equipment; the linkage acquisition unit is used for acquiring the time when the linkage control unit sends the linkage control signal and the time when the security equipment receives the linkage control signal; the linkage collection unit sends the moment of linkage control signal and the moment of security protection equipment receiving the linkage control signal of gathering to the linkage analysis unit, and the linkage analysis unit is used for analyzing the response time and the linkage switching of security protection equipment, and concrete analysis step is as follows:
the method comprises the following steps: setting security protection equipment as Pi, i is 1, 2, … … and n; the time of sending the linkage control signal is recorded as T1; the linkage control signal received by the security equipment through the connecting cable is recorded as T2Pi;
Step two: using the formula T3pi=T1-T2piObtaining the response time difference T3 of the security equipmentPi(ii) a When the response time difference is larger than a set threshold value, linkage switching analysis is carried out; marking the corresponding security equipment as switching equipment, and marking the switching equipment as Pj, wherein j belongs to i;
step three: acquiring the position of the switching equipment, and drawing a circle with a preset radius by taking the switching equipment as a circle center to form a screening range; acquiring security protection equipment in the screening range, and marking the security protection equipment as primary selection equipment;
step four: acquiring the response time difference of the security equipment, comparing the response time difference with the response time difference of the switching equipment, and marking the initially selected equipment with the response time difference smaller than the response time difference of the switching equipment as preferred equipment;
step five: the linkage control unit controls the preferred equipment to send the linkage control signal to the switching equipment, and collects the sending time of the preferred equipment and the receiving time of the switching equipment; calculating the sending time of the priority equipment and the receiving time of the switching equipment to obtain a switching time difference; selecting the priority equipment with the minimum switching time difference and marking the priority equipment as the selected security equipment;
step six: the selected security equipment and the switching equipment are linked and switched, and the method is specifically represented as follows: when the selected security equipment receives the linkage control signal, the selected security equipment simultaneously sends the linkage control signal to the corresponding switching equipment;
the big data analysis module is used for acquiring and analyzing image information and personnel identity information in the server, and the specific analysis steps are as follows:
the method comprises the following steps: setting personnel entering the Venue stadium as Dk; k is 1, … …, n; n is a natural number; the face photo corresponding to the person is recorded as RDk;
Step two: identifying the face in the monitoring video by a deep learning algorithm, wherein the deep learning algorithm can be a face identification algorithm in a face identification method and device based on deep learning of CN 107609459B; acquiring face data; matching the face data with the face photos; when the corresponding face photo is matched, the position of the monitoring camera is the position of the person; meanwhile, the shooting time corresponding to the monitoring camera is the position time of the person;
step three: the big data analysis module sends the positions of the personnel and the corresponding position time to the track analysis module;
step four: the big data analysis module carries out early warning analysis on personnel entering the Venue and stadium; setting the time for a person to pass through the electronic gate to be T1Rk;
Step five: the current time of the system is recorded as T4; using the formula T5Rk=T4-T1Rk(ii) a Obtaining the time length T5 of entering the hall corresponding to the obtained personRk;
Step six: when the time length of entering the shop is longer than a set threshold value and the person face picture is matched with the person face picture, an early warning instruction is generated, and the big data analysis module sends the early warning instruction to the early warning module and the linkage control module through the server;
the early warning module receives the early warning instruction and sends the face picture to the mobile phone terminal of the corresponding worker; the linkage control module receives the early warning instruction and then controls the electronic gate to be closed, and simultaneously controls the voice interphone to perform voice alarm;
the security module comprises a video monitoring unit, an access control unit, a voice talkback unit, a smoke monitoring unit and a temperature and humidity monitoring unit; the video monitoring unit comprises a plurality of monitoring cameras which are distributed and installed indoors and outdoors in the Venue stadium; the plurality of monitoring cameras are used for shooting indoor and outdoor image information of the Venetian stadium; the image information comprises a monitoring video, the serial number of the monitoring camera and the shooting time of the monitoring camera; the entrance guard unit comprises an electronic gate which is arranged at the entrance and the exit of the Venue; the electronic gate is used for identifying the identity information of people entering the Venue and people exiting the Venue; the personnel identity information comprises an identity card number, a face photo and a mobile phone number; the voice intercom unit comprises a plurality of voice intercom devices which are distributed and installed in the Venetian gymnasium; the voice interphone is used for voice talkback and playing early warning information;
the smoke monitoring unit comprises a plurality of smoke sensors, and the smoke sensors are used for monitoring smoke information in the Venue stadium; the temperature and humidity monitoring unit comprises a plurality of temperature sensors which are distributed and installed in the Venue stadium; the temperature and humidity sensor is used for monitoring temperature and humidity information in the Venue and stadium room;
the data acquisition module is used for acquiring basic information of the security equipment; the basic information comprises the position of the security equipment, the electrifying time length, the model of the security equipment and the number of switching equipment corresponding to the security equipment and is sent to the server; the electrifying duration is the time difference between the current time and the last maintenance time of the system; when the security equipment has no maintenance time, the electrifying time is the time difference between the current time of the system and the installation time of the security equipment; the maintenance calculation module is used for acquiring basic information of the security equipment in the server and calculating a maintenance value, and the specific calculation steps are as follows:
the method comprises the following steps: setting the power-on time of the security equipment as DPi(ii) a The number of the switching equipment is recorded as UPi;
step two: setting a preset integral value corresponding to the model, matching the model of the security equipment with the preset integral value corresponding to the model to obtain a corresponding preset integral value, and marking the preset integral value as JPi;
Step three: using formulasObtaining a maintenance value WH of the security equipmentPi(ii) a Wherein λ 1Pi、λ2Pi、λ3PiPresetting a proportional coefficient corresponding to the security equipment; mu.sPiThe value of the correction factor corresponding to the security equipment is 0.2365847; the method has the advantages that the longer the power-on time of the security equipment is, the larger the maintenance value is, and the larger the maintenance probability of the security equipment is; the more the switching number of the security equipment is, the larger the maintenance value is;
step four: when the maintenance value is larger than a set threshold value, the security protection equipment is marked as the security protection equipment to be maintained;
step five: the maintenance calculation module sends the position and the model of the security equipment to be maintained to the maintenance management module;
the maintenance management module is used for distributing the security equipment to be maintained to the corresponding maintainer mobile phone terminal, and the specific distribution steps are as follows:
the method comprises the following steps: acquiring maintenance information corresponding to maintenance personnel, screening the maintenance information, acquiring the maintenance personnel with the same model as the to-be-maintained security equipment, and marking the maintenance personnel as distribution personnel;
step two: setting the total number of the distribution personnel to be maintained as Z1; the total maintenance is recorded as Z2;
step three: acquiring the job entry duration of the distributor according to the job entry date and the current time of the system, and recording the job entry duration as Z3;
step four: using formulasAcquiring a distribution value Z corresponding to a distributor; wherein b1, b2 and b3 are all preset proportionality coefficients; the smaller the total number of the security equipment to be maintained of the distributor is, the larger the distribution value is, the larger the probability that the security equipment to be maintained is distributed to the distributor is; the closer the job entry duration is to one year, the larger the allocation value is; the smaller the total maintenance amount is, the larger the distribution value is;
step five: sending the position and the model of the security equipment to be maintained to a mobile phone terminal of a distributor with the maximum distribution value; meanwhile, the total number of the distribution personnel to be maintained is increased by one;
step six: the method comprises the following steps that a distributor sends a maintenance instruction and a mobile phone positioning position to a distribution management module through a mobile phone terminal; the distribution management module matches the mobile phone positioning position with the position of the security equipment to be maintained, and after the matching is successful, the distribution management module sends a maintenance starting instruction to a mobile phone terminal of a distributor; the method comprises the following steps that a distributor sends a maintenance completion instruction to a distribution management module through a mobile phone terminal, and after the distribution management module receives the maintenance completion instruction, the maintenance total amount of the distributor is increased by one;
the trajectory analysis module is used for sequentially connecting positions according to the positions of the personnel and the corresponding position time according to time to obtain the trajectory of the personnel;
the registration login module is used for submitting staff information and maintenance information for registration by staff and maintenance personnel of the Venue and sending the staff information which is successfully registered into the server; the staff information comprises a name, a mobile phone number and an identity card number; the maintenance information comprises a name, a mobile phone number, the time of entry, an identity card number and the model of the maintenance security equipment;
a signal transmitter for transmitting the linkage control signal and a receiver for receiving the linkage control signal are arranged in the security equipment;
the working principle of the invention is as follows: the linkage analysis unit is used for analyzing the response time and linkage switching of the security equipment and utilizes a formula T3pi=T1-T2piObtain toResponse time difference to Security device T3Pi(ii) a When the response time difference is larger than a set threshold value, linkage switching analysis is carried out; acquiring the position of the switching equipment, and drawing a circle with a preset radius by taking the switching equipment as a circle center to form a screening range; acquiring security protection equipment in the screening range, and marking the security protection equipment as primary selection equipment; acquiring the response time difference of the security equipment, comparing the response time difference with the response time difference of the switching equipment, and marking the initially selected equipment with the response time difference smaller than the response time difference of the switching equipment as preferred equipment; the linkage control unit controls the preferred equipment to send the linkage control signal to the switching equipment, and collects the sending time of the preferred equipment and the receiving time of the switching equipment; calculating the sending time of the priority equipment and the receiving time of the switching equipment to obtain a switching time difference; selecting the priority equipment with the minimum switching time difference and marking the priority equipment as the selected security equipment; establishing linkage switching between the selected security equipment and switching equipment; by linkage switching of the security equipment, the linkage response speed of the security equipment in the Venue stadium can be increased, so that the linkage performance of the Venue stadium is improved; the maintenance calculation module is used for acquiring basic information of the security equipment in the server, calculating a maintenance value and utilizing a formulaObtaining a maintenance value of the security equipment; when the maintenance value is larger than a set threshold value, the security protection equipment is marked as the security protection equipment to be maintained; the maintenance calculation module sends the position and the model of the security equipment to be maintained to the maintenance management module; the maintenance management module is used for distributing the security equipment to be maintained to the corresponding maintainer mobile phone terminal; the security equipment is conveniently and reasonably maintained and managed by calculating the maintenance value of the security equipment, and meanwhile, the maintenance personnel corresponding to the maintained security equipment is reasonably distributed by the distribution management module to maintain the security equipment; the big data analysis module is used for acquiring and analyzing image information and personnel identity information in the server, and recognizing the face in the monitoring video through a deep learning algorithm to acquire face data; matching the face data with the face photos; when in useMatching the corresponding face photo, and setting the position of the monitoring camera as the position of the person; meanwhile, the shooting time corresponding to the monitoring camera is the position time of the person; the big data analysis module sends the positions of the personnel and the corresponding position time to the track analysis module; the big data analysis module carries out early warning analysis on personnel entering the Venue and stadium; when the time length of entering the shop is longer than a set threshold value and the person face picture is matched with the person face picture, an early warning instruction is generated, and the big data analysis module sends the early warning instruction to the early warning module and the linkage control module through the server; the person entering the Venue is subjected to face recognition monitoring, early warning and security protection, and the positions are sequentially connected according to time according to the positions of the person and the corresponding position time through the track analysis module to obtain the track of the person, so that the moving track of the person entering the Venue can be conveniently displayed.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The Venue and stadium comprehensive security management platform based on big data is characterized by comprising a stadium security module, a linkage control module, a server, a big data analysis module, a track analysis module, an early warning module, a maintenance calculation module, a maintenance management module and a registration login module;
the venue security module is used for performing security monitoring on the Venue venue and sending monitoring data to the server for storage; the monitoring data comprises image information, personnel identity information, smoke information and temperature and humidity information;
the linkage control module is used for carrying out linkage control on the security equipment; the security equipment comprises a monitoring camera, an electronic gate, a voice interphone, a smoke sensor and a temperature and humidity sensor; the security equipment is connected with the linkage control module through a connecting cable; the security equipment is in communication connection through a cable;
the linkage control unit comprises a linkage control unit, a linkage acquisition unit and a linkage analysis unit; the linkage control unit is used for sending a linkage control signal to the security equipment; the linkage acquisition unit is used for acquiring the time when the linkage control unit sends the linkage control signal and the time when the security equipment receives the linkage control signal; the linkage collection unit sends the moment of linkage control signal and the moment of security protection equipment receiving the linkage control signal of gathering to the linkage analysis unit, and the linkage analysis unit is used for analyzing the response time and the linkage switching of security protection equipment, and concrete analysis step is as follows:
the method comprises the following steps: setting security protection equipment as Pi, i is 1, 2, … … and n; the time of sending the linkage control signal is recorded as T1; the linkage control signal received by the security equipment through the connecting cable is recorded as T2Pi;
Step two: using the formula T3pi=T1-T2piObtaining the response time difference T3 of the security equipmentPi(ii) a When the response time difference is larger than a set threshold value, linkage switching analysis is carried out; marking the corresponding security equipment as switching equipment, and marking the switching equipment as Pj, wherein j belongs to i;
step three: acquiring the position of the switching equipment, and drawing a circle with a preset radius by taking the switching equipment as a circle center to form a screening range; acquiring security protection equipment in the screening range, and marking the security protection equipment as primary selection equipment;
step four: acquiring the response time difference of the security equipment, comparing the response time difference with the response time difference of the switching equipment, and marking the initially selected equipment with the response time difference smaller than the response time difference of the switching equipment as preferred equipment;
step five: the linkage control unit controls the preferred equipment to send the linkage control signal to the switching equipment, and collects the sending time of the preferred equipment and the receiving time of the switching equipment; calculating the sending time of the priority equipment and the receiving time of the switching equipment to obtain a switching time difference; selecting the priority equipment with the minimum switching time difference and marking the priority equipment as the selected security equipment;
step six: the selected security equipment and the switching equipment are linked and switched, and the method is specifically represented as follows: when the selected security equipment receives the linkage control signal, the selected security equipment simultaneously sends the linkage control signal to the corresponding switching equipment;
the big data analysis module is used for acquiring and analyzing image information and personnel identity information in the server, and comprises the following specific analysis steps:
the method comprises the following steps: setting personnel entering the Venue stadium as Dk; k is 1, … …, n; the face photo corresponding to the person is recorded as RDk;
Step two: identifying the face in the monitoring video through a deep learning algorithm to obtain face data; matching the face data with the face photos; when the corresponding face photo is matched, the position of the monitoring camera is the position of the person; meanwhile, the shooting time corresponding to the monitoring camera is the position time of the person;
step three: the big data analysis module sends the positions of the personnel and the corresponding position time to the track analysis module;
step four: the big data analysis module carries out early warning analysis on personnel entering the Venue and stadium; setting the time for a person to pass through the electronic gate to be T1Rk;
Step five: the current time of the system is recorded as T4; using the formula T5Rk=T4-T1Rk(ii) a Obtaining the time length T5 of entering the hall corresponding to the obtained personRk;
Step six: when the time length of entering the shop is longer than a set threshold value and the person face picture is matched with the person face picture, an early warning instruction is generated, and the big data analysis module sends the early warning instruction to the early warning module and the linkage control module through the server;
the early warning module receives the early warning instruction and sends the face picture to the mobile phone terminal of the corresponding worker; and after receiving the early warning instruction, the linkage control module controls the electronic gate to be closed and controls the voice interphone to perform voice alarm.
2. The Venue stadium comprehensive security management platform based on big data according to claim 1, wherein the security module comprises a video monitoring unit, an entrance guard unit, a voice intercom unit, a smoke monitoring unit and a temperature and humidity monitoring unit; the video monitoring unit comprises a plurality of monitoring cameras which are distributed and installed indoors and outdoors in the Venue stadium; the plurality of monitoring cameras are used for shooting indoor and outdoor image information of the Venetian stadium; the image information comprises a monitoring video, the serial number of the monitoring camera and the shooting time of the monitoring camera; the entrance guard unit comprises an electronic gate which is arranged at the entrance and the exit of the Venue; the electronic gate is used for identifying the identity information of people entering the Venue and people exiting the Venue; the personnel identity information comprises an identity card number, a face photo and a mobile phone number; the voice intercom unit comprises a plurality of voice intercom devices which are distributed and installed in the Venetian gymnasium; the voice interphone is used for voice talkback and playing early warning information;
the smoke monitoring unit comprises a plurality of smoke sensors, and the smoke sensors are used for monitoring smoke information in the Venue stadium; the temperature and humidity monitoring unit comprises a plurality of temperature sensors which are distributed and installed in the Venue stadium; the temperature and humidity sensor is used for monitoring temperature and humidity information in the Venue and stadium.
3. The big-data-based Venetian stadium integrated security management platform according to claim 1, wherein the data collection module is configured to collect basic information of security equipment; the basic information comprises the position of the security equipment, the electrifying time length, the model of the security equipment and the number of switching equipment corresponding to the security equipment and is sent to the server; the electrifying duration is the time difference between the current time and the last maintenance time of the system; when the security equipment has no maintenance time, the electrifying time is the time difference between the current time of the system and the installation time of the security equipment; the maintenance calculation module is used for acquiring basic information of the security equipment in the server and calculating a maintenance value, and the specific calculation steps are as follows:
the method comprises the following steps: setting the power-on time of the security equipment as DPi(ii) a The number of switching devices is recorded as UPi;
Step two: setting a preset integral value corresponding to the model, matching the model of the security equipment with the preset integral value corresponding to the model to obtain a corresponding preset integral value, and marking the preset integral value as JPi;
Step three: using formulasObtaining a maintenance value WH of the security equipmentPi(ii) a Wherein λ 1Pi、λ2Pi、λ3PiPresetting a proportional coefficient corresponding to the security equipment; mu.sPiThe value of the correction factor corresponding to the security equipment is 0.2365847;
step four: when the maintenance value is larger than a set threshold value, the security protection equipment is marked as the security protection equipment to be maintained;
step five: the maintenance calculation module sends the position and the model of the security equipment to be maintained to the maintenance management module;
the maintenance management module is used for distributing the security equipment to be maintained to the corresponding maintainer mobile phone terminal, and the specific distribution steps are as follows:
the method comprises the following steps: acquiring maintenance information corresponding to maintenance personnel, screening the maintenance information, acquiring the maintenance personnel with the same model as the to-be-maintained security equipment, and marking the maintenance personnel as distribution personnel;
step two: setting the total number of the distribution personnel to be maintained as Z1; the total maintenance is recorded as Z2;
step three: acquiring the job entry duration of the distributor according to the job entry date and the current time of the system, and recording the job entry duration as Z3;
step four: using formulasAcquiring a distribution value Z corresponding to a distributor; wherein b1, b2 and b3 are all preset proportionality coefficients;
step five: sending the position and the model of the security equipment to be maintained to a mobile phone terminal of a distributor with the maximum distribution value; meanwhile, the total number of the distribution personnel to be maintained is increased by one;
step six: the method comprises the following steps that a distributor sends a maintenance instruction and a mobile phone positioning position to a distribution management module through a mobile phone terminal; the distribution management module matches the mobile phone positioning position with the position of the security equipment to be maintained, and after the matching is successful, the distribution management module sends a maintenance starting instruction to a mobile phone terminal of a distributor; and the distribution personnel sends a maintenance completion instruction to the distribution management module through the mobile phone terminal, and the distribution management module increases the maintenance total amount of the distribution personnel by one after receiving the maintenance completion instruction.
4. The integrated stadium security management platform based on big data as claimed in claim 1, wherein the trajectory analysis module is configured to sequentially connect positions according to time to obtain the trajectory of the person according to the position of the person and the corresponding position time.
5. The integrated security management platform for Venue arena based on big data as claimed in claim 1, wherein the registration module is used for staff and maintenance staff of Venue arena to submit staff information and register maintenance information and send the staff information with successful registration to the server; the staff information comprises a name, a mobile phone number and an identity card number; the maintenance information comprises a name, a mobile phone number, the time of entry, an identification card number and the model of the maintenance security equipment.
6. The integrated stadium security management platform based on big data as claimed in claim 1, wherein the security devices are each internally installed with a signal transmitter for forwarding the linkage control signal and a receiver for receiving the linkage control signal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911328437.7A CN111105603B (en) | 2019-12-20 | 2019-12-20 | Venue and stadium integrated security management platform based on big data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911328437.7A CN111105603B (en) | 2019-12-20 | 2019-12-20 | Venue and stadium integrated security management platform based on big data |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111105603A true CN111105603A (en) | 2020-05-05 |
CN111105603B CN111105603B (en) | 2021-04-27 |
Family
ID=70422017
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911328437.7A Active CN111105603B (en) | 2019-12-20 | 2019-12-20 | Venue and stadium integrated security management platform based on big data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111105603B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111554199A (en) * | 2020-05-07 | 2020-08-18 | 贵州中晟泰科智能技术有限公司 | SMD white light lamp pearl structure suitable for outdoor display screen |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120013460A1 (en) * | 2010-07-16 | 2012-01-19 | Cullen Gerard L | Environmental alarms sent via sms text messaging |
CN102355753A (en) * | 2011-11-15 | 2012-02-15 | 江南大学 | Museum environment monitoring system based on wireless sensor network (WSN) |
CN103037435A (en) * | 2012-12-21 | 2013-04-10 | 南京邮电大学 | Wireless sensor network route protocol |
CN104967819A (en) * | 2015-06-19 | 2015-10-07 | 张海滨 | Security early warning system and security early warning method based on MAC address collection management |
CN204791482U (en) * | 2015-07-11 | 2015-11-18 | 新疆东正科技发展有限公司 | Video monitoring equipment inspection management wireless transmission alarm system |
CN107734030A (en) * | 2017-10-13 | 2018-02-23 | 贵州白山云科技有限公司 | A kind of cloud monitoring system and its control method |
CN108922101A (en) * | 2018-07-19 | 2018-11-30 | 数海信息技术有限公司 | A kind of several Hisense's breath intelligent security guard Campus Management Systems |
CN109472895A (en) * | 2018-10-31 | 2019-03-15 | 广州畅驿智能科技有限公司 | A kind of security protection integrated application management system and its management implementation method |
CN109871927A (en) * | 2019-04-08 | 2019-06-11 | 天津卓越信通科技有限公司 | Based on the solar powered sight spot tourist security management system of RFID and ZIGBEE |
CN110047236A (en) * | 2019-04-23 | 2019-07-23 | 万申科技股份有限公司 | A kind of high-risk grade region security management method and system |
CN209375808U (en) * | 2018-12-05 | 2019-09-10 | 广州市视鹰电子有限公司 | Network Video Surveillance stores forwarding device |
US20190280940A1 (en) * | 2017-11-09 | 2019-09-12 | International Business Machines Corporation | Dynamically optimizing internet of things device configuration rules via a gateway |
CN110457371A (en) * | 2019-08-13 | 2019-11-15 | 杭州有赞科技有限公司 | Data managing method, device, storage medium and system |
-
2019
- 2019-12-20 CN CN201911328437.7A patent/CN111105603B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120013460A1 (en) * | 2010-07-16 | 2012-01-19 | Cullen Gerard L | Environmental alarms sent via sms text messaging |
CN102355753A (en) * | 2011-11-15 | 2012-02-15 | 江南大学 | Museum environment monitoring system based on wireless sensor network (WSN) |
CN103037435A (en) * | 2012-12-21 | 2013-04-10 | 南京邮电大学 | Wireless sensor network route protocol |
CN104967819A (en) * | 2015-06-19 | 2015-10-07 | 张海滨 | Security early warning system and security early warning method based on MAC address collection management |
CN204791482U (en) * | 2015-07-11 | 2015-11-18 | 新疆东正科技发展有限公司 | Video monitoring equipment inspection management wireless transmission alarm system |
CN107734030A (en) * | 2017-10-13 | 2018-02-23 | 贵州白山云科技有限公司 | A kind of cloud monitoring system and its control method |
US20190280940A1 (en) * | 2017-11-09 | 2019-09-12 | International Business Machines Corporation | Dynamically optimizing internet of things device configuration rules via a gateway |
CN108922101A (en) * | 2018-07-19 | 2018-11-30 | 数海信息技术有限公司 | A kind of several Hisense's breath intelligent security guard Campus Management Systems |
CN109472895A (en) * | 2018-10-31 | 2019-03-15 | 广州畅驿智能科技有限公司 | A kind of security protection integrated application management system and its management implementation method |
CN209375808U (en) * | 2018-12-05 | 2019-09-10 | 广州市视鹰电子有限公司 | Network Video Surveillance stores forwarding device |
CN109871927A (en) * | 2019-04-08 | 2019-06-11 | 天津卓越信通科技有限公司 | Based on the solar powered sight spot tourist security management system of RFID and ZIGBEE |
CN110047236A (en) * | 2019-04-23 | 2019-07-23 | 万申科技股份有限公司 | A kind of high-risk grade region security management method and system |
CN110457371A (en) * | 2019-08-13 | 2019-11-15 | 杭州有赞科技有限公司 | Data managing method, device, storage medium and system |
Non-Patent Citations (1)
Title |
---|
邓毅,吴敏伟: "人脸识别技术在博物馆安防系统中的应用", 《微型电脑应用》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111554199A (en) * | 2020-05-07 | 2020-08-18 | 贵州中晟泰科智能技术有限公司 | SMD white light lamp pearl structure suitable for outdoor display screen |
CN111554199B (en) * | 2020-05-07 | 2022-08-26 | 贵州中晟泰科智能技术有限公司 | SMD white light lamp pearl structure suitable for outdoor display screen |
Also Published As
Publication number | Publication date |
---|---|
CN111105603B (en) | 2021-04-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107978051B (en) | Access control system and method based on face recognition | |
CN109886096B (en) | Wisdom tourism supervision and safe emergency management linkage command system | |
CN109299683B (en) | Security protection evaluation system based on face recognition and behavior big data | |
CN112562161A (en) | Based on 5G thing networking and AI intelligent entrance guard integrated management system | |
CN111080994B (en) | Intelligent security system based on Internet of things | |
CN213781202U (en) | Intelligent park epidemic situation prevention and control personnel access management system based on 5G | |
CN108234927A (en) | Video frequency tracking method and system | |
CN110807888A (en) | Intelligent security method, system and storage medium for park | |
CN115272037A (en) | Smart city region public security management early warning method and system based on Internet of things | |
CN110379141B (en) | Method for sensor linkage by adopting gateway and gateway system | |
CN108008666A (en) | One kind building neutral net and its method of work | |
CN111105603B (en) | Venue and stadium integrated security management platform based on big data | |
CN110969560A (en) | Security monitoring management platform based on big data | |
CN116452379B (en) | Intelligent campus management system based on big data | |
CN105070058B (en) | A kind of accurate road condition analyzing method and system based on real-time road video | |
CN205827660U (en) | A kind of open type parking ground parking management equipment | |
CN110324589A (en) | A kind of monitoring system and method for tourist attraction | |
CN116546438A (en) | Building monitoring system based on Bluetooth MESH network | |
CN112801023A (en) | Scenic spot visitor identification system | |
CN107991953A (en) | One kind building cental system | |
CN112687023A (en) | Method for inspecting road facilities based on geo-fence | |
CN113703336B (en) | Hotel intelligent home master control system and control network | |
CN109949465A (en) | Unmanned intelligent barrier gate crosses machine system | |
CN206741541U (en) | A kind of project progress tracking and monitoring mechanism | |
CN110490104A (en) | A kind of monitoring system and monitoring method reducing tramp's conflict |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |