CN110728607A - Big data airport security check management system and method based on intelligent vision - Google Patents
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Abstract
The invention discloses a big data airport security check management system and method based on intelligent vision, the airport security check management system comprises an information acquisition module, a data processing center, a data retrieval module and a reminding module, the output ends of the information acquisition module and the data calling module are electrically connected with the input end of the data processing center, the output end of the data processing center is electrically connected with the input end of the reminding module, the invention is scientific and reasonable, the use is safe and convenient, the history of the outbreak disease of the passenger can be called from a third-party database by utilizing the data calling module, can help the airport monitoring camera to focus on the passengers with the history of the outbreak disease, can analyze the behavior of the outbreak disease patients by utilizing the intelligent monitoring camera, whether the passenger has outbreak can be known in time, and the passenger can provide the most timely rescue and rescue when the passenger has outbreak.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to a big data airport security check management system and method based on intelligent vision.
Background
With the continuous progress and development of science and technology, the big data era gradually enters our lives, the existence of big data is visible everywhere in the lives, an airport is a model for big data application, the airport is a preferred transportation means for people to go out, and because of the advantages of speed block, short time, high safety performance and the like, the airport is widely accepted by people, safety inspection needs to be carried out before boarding in the airport to ensure the safety when boarding, and is responsible for the life safety of other passengers, in the prior art, the airport security inspection adopts face identification automatic identity authentication, but after authentication, workers still need to carry out whole-body safety inspection on passengers entering the station, but for some old people and teenagers, the number of airplane taking times is less, the flow of safety inspection before boarding is not known, occupation and waste can be caused to the safety inspection time of other passengers, and, when passengers with outbreak diseases appear in an airport waiting hall, workers cannot know messages at the first time, medical workers and workers cannot arrive at the first time to rescue the passengers, the rescue gold can be missed for four minutes, and the life safety of the passengers is affected, so that people urgently need a big data airport security check management system based on intelligent vision and a method thereof to solve the problems.
Disclosure of Invention
The invention aims to provide a big data airport security check management system and a big data airport security check management method based on intelligent vision, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a big data airport security check management system based on intelligent vision comprises an information acquisition module, a data processing center, a data retrieval module and a reminding module;
the output ends of the information acquisition module and the data calling module are electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the input end of the reminding module.
According to the technical scheme, the data processing center is used for calculating, processing and identifying data of the airport security check management system and storing and comparing the data;
the data processing center comprises a central processing unit, an information matching unit and a storage database;
the output end of the information matching unit is electrically connected with the input end of the central processing unit, and the output end of the central processing unit is electrically connected with the input end of the storage database;
the central processing unit is used for intelligently controlling the whole system and ensuring the normal operation of the whole system, the information matching unit is used for comparing and verifying the identity information of passengers, the phenomena of ticket evasion and certificate forgery are avoided, and the storage database is used for storing the data of the airport security check management system.
According to the technical scheme, the information acquisition module is used for acquiring passenger identity information, environment information and passenger behavior characteristic information;
the information acquisition module comprises a face recognition camera, a certificate recognition unit, a temperature sensor and an intelligent monitoring camera;
the output ends of the face recognition camera and the certificate recognition unit are electrically connected with the input end of the information matching unit, and the output ends of the temperature sensor and the intelligent monitoring camera are electrically connected with the input end of the central processing unit;
the face identification camera is installed in airport security inspection entrance to a station for the face to the passenger discerns the authentication, certificate identification unit installs in face identification camera below, is used for discerning passenger's effective identity document, temperature sensor installs in airport waiting hall and outdoor for detect the indoor outer temperature in airport, be used for calculating indoor outer difference in temperature, intelligence surveillance camera adopts intelligent vision technique to monitor and analyze the passenger's in the airport behavioral characteristics, avoids appearing the unable timely warning of passenger's dizzy phenomenon and rescues, can win the valuable first aid time for the passenger that appears the proruption disease.
According to the technical scheme, the data calling module is used for calling the emergency medical history data of the passengers entering the station, so that data reference is provided for the passengers needing to be monitored intensively by the intelligent monitoring camera, and monitoring resources can be effectively saved;
the data calling module comprises a third-party database, a data retrieval unit and a data import unit;
the third-party database is a sudden onset disease history database of each hospital, the data retrieval unit is used for retrieving sudden onset disease history of passengers in the third-party database, and the data import unit is used for importing the sudden onset disease history of the passengers with the sudden onset disease history into the storage database, so that the central processing unit can analyze the sudden onset disease history of the passengers, and data support of a monitoring main body is provided for the intelligent monitoring camera.
According to the technical scheme, the reminding module is used for reminding passengers and workers;
the reminding module comprises a voice broadcasting unit and a voice alarming unit;
the output end of the central processing unit is electrically connected with the input ends of the voice broadcasting unit and the voice alarm unit;
the voice broadcast unit is installed in face identification camera one side for the security check mouth serial number that should go to the passenger is reported, realizes the classification and the reposition of redundant personnel to passenger's security check, helps realizing the care to old and young passenger, simultaneously, can effectual improvement security check's efficiency, avoids appearing old man or child's security check and leads to influencing the passenger's at the back stroke at a slow pace, and, can also effectually reduce the conflict between the passenger, still helps protecting passenger privacy, the voice alarm unit is installed in each corner of airport waiting room for in time report to the condition that the outbreak of disease appears, remind near staff and medical personnel in time to look over, can provide valuable rescue time for the patient.
A big data airport security check management method based on intelligent vision further comprises the following steps:
s1, carrying out identity authentication on the passenger by using the face recognition camera and the certificate recognition unit;
s2, the passengers are shunted according to the sex and age of the passengers, and the security check channel is broadcasted by using the voice broadcasting unit;
s3, the data retrieval unit is used for retrieving the history of the passenger outbreak disease in a third-party database and uploading the history to the central processing unit;
s4, calculating the incidence of the passenger sudden illness history by using a central processing unit according to the indoor and outdoor temperature difference;
s5, carrying out behavior analysis on passengers with higher morbidity by using the intelligent monitoring camera;
s6, analyzing whether the behavior of the passenger falls over the ground by the intelligent monitoring camera, and performing alarm processing by using a voice alarm unit;
and S7, storing all passenger information into a storage database for backup by using the central processing unit.
According to the above technical solution, preferably, in the steps S1-S2, the face recognition camera is used for recognizing face information of the traveler, the document recognition unit is used for recognizing an effective identification document of the traveler, the information matching unit is used for comparing the face information of the traveler with the effective identification document information, and whether the traveler takes the passenger with the effective identification document is judged, the central processing unit broadcasts the number of the security check channel of the traveler by using the voice broadcasting unit according to the passenger information recognized by the document recognition unit, the central processing unit distributes the security check channels according to the gender and age of the traveler, the age of the traveler is set to be X, and one entrance is divided into six security check channels in total, wherein three males, three females, male and female;
when X is less than 16, the passenger is juvenile;
when X is more than or equal to 16 and less than or equal to 50, the passenger is a middle-aged person;
when X is more than 50, the passenger is old;
the classification of the security inspection channels according to different age groups can realize the care of the passengers taking the airplane for the young and the old, and simultaneously, the efficiency of security inspection is improved, thereby avoiding the influence of the young and the old on the normal security inspection and boarding of the passengers for the middle aged, and reducing unnecessary conflicts.
According to the technical scheme, in the steps S3-S4, the data retrieval unit retrieves the history of the outbreak disease of the traveler and the onset time t of the outbreak disease in a third-party database according to the traveler information identified by the certificate identification unit1、t2、t3、…、tiThe data import unit imports the retrieved data into the central processing unit;
the temperature sensor is used for measuring the indoor temperature T1And outdoor temperature T2Detecting and transmitting the detection data to a central processing unit;
the central processing unit is used for processing the attack time t according to the passenger1、t2、t3、…、tiCalculating the period of onset
：
Setting the probability of disease attack every day as P, then:
setting the time of the latest attack as tXThe latest cycle of onset is (t)X-ti）；
The passenger is at tXProbability of onset P on this dayX：
；
Setting the indoor and outdoor temperature difference as T, then:
the statistics of big data shows that the incidence probability of the outbreak disease is increased by a% when the temperature difference is 1 ℃, and the incidence probability of the outbreak disease caused by the temperature difference is PY;
；
let the total probability of outbreak of the outbreak passenger on the day of tX be
And then:
according to the technical scheme, in the steps S5-S6, the central processing unit performs descending sequencing of the outbreak disease probability on passengers with the outbreak disease, the intelligent monitoring camera performs key monitoring on the passengers with the higher outbreak disease probability by using an intelligent vision technology, and when the passengers fall down to the ground and cover the chest, the central processing unit controls the voice alarm unit to perform voice alarm reminding to inform nearby workers and medical staff to go to the area where the passengers with the outbreak disease are located immediately to perform timely rescue, so that precious rescue time can be provided for the rescue of the outbreak disease.
According to the technical scheme, in the step S7, the central processing unit is used for storing the information of all passengers with the morbidity probability into the stored data for storage, so that the condition that the passengers need to retrieve from a third-party database again when taking the airplane again in the later period is avoided, the retrieval times can be effectively reduced, and the system resources are effectively saved.
Compared with the prior art, the invention has the beneficial effects that: utilize the data to transfer the module and can follow the third party database and transfer passenger's outbreak disease medical history, can help airport surveillance camera to carry out key concern to the passenger that has the outbreak disease medical history, utilize intelligent surveillance camera head can carry out the analysis of action to the outbreak disease patient, can be timely learn whether the passenger outbreak disease is attack, can provide most timely rescue and rescue when the passenger outbreak disease is attack, utilize sex and age to shunt and classify the passenger of security inspection, on the one hand, the care to old passenger and juvenile passenger has been realized, avoid old and juvenile passenger to receive the displacement at the security inspection in-process, on the other hand, can effectually practice thrift the security inspection time of middle-aged passenger, avoid old passenger and juvenile passenger's security inspection process to lead to influencing the normal security inspection of middle-aged passenger more slowly, can also effectual reduction unnecessary conflict.
Drawings
FIG. 1 is a schematic diagram of a module composition structure of a big data airport security check management system based on intelligent vision;
FIG. 2 is a schematic diagram of a module connection structure of a big data airport security check management system based on intelligent vision according to the present invention;
FIG. 3 is a schematic structural diagram of steps of a big data airport security check management method based on intelligent vision according to the present invention;
FIG. 4 is a schematic view of a flow structure of a big data airport security check management method based on intelligent vision according to the present invention;
fig. 5 is a security inspection door distribution diagram of the big data airport security inspection management method and system based on intelligent vision.
1. An identity authentication port; 2. a face recognition camera; 3. a certificate recognition unit; 4. a male pathway; 5. a female pathway; 6. a first elderly security inspection channel; 7. a second-old-year security inspection channel; 8. a first juvenile security check channel; 9. a second juvenile security check channel; 10. a first middle-aged security inspection channel; 11. a second middle-aged security inspection channel; 12. a security inspection door; 13. and a voice broadcasting unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
As shown in fig. 1-2, a big data airport security check management system based on intelligent vision comprises an information acquisition module, a data processing center, a data retrieval module and a reminding module;
the output ends of the information acquisition module and the data calling module are electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the input end of the reminding module.
The data processing center is used for calculating, processing and identifying the data of the airport security check management system and also used for storing and comparing the data;
the data processing center comprises a central processing unit, an information matching unit and a storage database;
the output end of the information matching unit is electrically connected with the input end of the central processing unit, and the output end of the central processing unit is electrically connected with the input end of the storage database;
the central processing unit is used for intelligently controlling the whole system and ensuring the normal operation of the whole system, the information matching unit is used for comparing and verifying the identity information of passengers, the phenomena of ticket evasion and certificate forgery are avoided, and the storage database is used for storing the data of the airport security check management system.
The information acquisition module is used for acquiring passenger identity information, environment information and passenger behavior characteristic information;
the information acquisition module comprises a face recognition camera, a certificate recognition unit, a temperature sensor and an intelligent monitoring camera;
the output ends of the face recognition camera and the certificate recognition unit are electrically connected with the input end of the information matching unit, and the output ends of the temperature sensor and the intelligent monitoring camera are electrically connected with the input end of the central processing unit;
the face identification camera is installed in airport security installations entrance to a station, be used for discerning the authentication to passenger's face, certificate identification unit installs in face identification camera below, be used for discerning passenger's effective identity document, temperature sensor installs in airport waiting hall and outdoor, be used for detecting the indoor outer temperature in airport, be used for calculating indoor outer difference in temperature, intelligent monitoring camera adopts intelligent vision technique to monitor and analyze passenger's in the airport behavior characteristics, the unable timely warning of the phenomenon of avoiding appearing the passenger to fall is rescued, can win the first aid time of getting for the passenger that appears the proruption disease.
The data calling module is used for calling the emergency medical history data of the passengers entering the station, and providing data reference for the passengers needing to be monitored intensively by the intelligent monitoring camera, so that the monitoring resources can be effectively saved;
the data calling module comprises a third-party database, a data retrieval unit and a data import unit;
the third-party database is a sudden onset disease history database of each hospital, the data retrieval unit is used for retrieving sudden onset disease history of passengers in the third-party database, and the data import unit is used for importing the sudden onset disease cases of the passengers with the sudden onset disease history into the storage database, so that the central processing unit can analyze the sudden onset disease cases of the passengers, and data support of the monitoring main body is provided for the intelligent monitoring camera.
The reminding module is used for reminding passengers and staff;
the reminding module comprises a voice broadcasting unit and a voice alarming unit;
the output end of the central processing unit is electrically connected with the input ends of the voice broadcasting unit and the voice alarm unit;
the voice broadcast unit is installed in face identification camera one side, a security check mouth serial number for going to the passenger is reported, realize categorised and the reposition of redundant personnel to passenger's security check, help realizing the care to old and young passenger, and simultaneously, can effectual improvement security check's efficiency, it leads to influencing the passenger's of back stroke too slowly to avoid appearing old man or child's security check, and, can also effectually reduce the conflict between the passenger, help protecting passenger privacy in addition, the voice alarm unit is installed in each corner in airport waiting room, a timely warning for the condition that the outbreak appears, remind near staff and medical personnel in time to look over, can provide the valuable rescue time for the patient.
As shown in fig. 3-4, a big data airport security check management method based on intelligent vision further includes the following steps:
s1, carrying out identity authentication on the passenger by using the face recognition camera and the certificate recognition unit;
s2, the passengers are shunted according to the sex and age of the passengers, and the security check channel is broadcasted by using the voice broadcasting unit;
s3, the data retrieval unit is used for retrieving the history of the passenger outbreak disease in a third-party database and uploading the history to the central processing unit;
s4, calculating the incidence of the passenger sudden illness history by using a central processing unit according to the indoor and outdoor temperature difference;
s5, carrying out behavior analysis on passengers with higher morbidity by using the intelligent monitoring camera;
s6, analyzing whether the behavior of the passenger falls over the ground by the intelligent monitoring camera, and performing alarm processing by using a voice alarm unit;
and S7, storing all passenger information into a storage database for backup by using the central processing unit.
In the steps of S1-S2, the face recognition camera is used for recognizing face information of a passenger, the certificate recognition unit is used for recognizing an effective identity certificate of the passenger, the information matching unit is used for comparing the face information of the passenger with the effective identity certificate information, whether the passenger takes the passenger with the effective identity certificate is judged, the central processing unit broadcasts the number of a security check channel of the passenger by using the voice broadcasting unit according to the passenger taking information recognized by the certificate recognition unit, and the central processing unit distributes the security check channel according to the gender and the age of the passenger;
as shown in fig. 5: as a preferred technical scheme, according to step S2, the security check channel includes an authentication port 1, a face recognition camera 2, a certificate recognition unit 3, a male channel 4, a female channel 5, a first elderly security check channel 6, a second elderly security check channel 7, a first teenager security check channel 8, a second teenager security check channel 9, a first middle-aged security check channel 10, a second middle-aged security check channel 11, and a security check door 12;
a face recognition camera 2 is arranged on one side of an identity verification port 1, a certificate recognition unit 3 is arranged on one side of the face recognition camera 2, a voice broadcasting unit 13 is arranged on the other side of the identity verification port, a male passageway 4 is formed on one side of one end of the identity verification port 1, a female passageway 5 is formed on the other side of one end of the identity verification port 1, a first old security inspection passageway 6 is formed on one end of the male passageway 4 close to the identity verification port 1, a second old passageway 7 is formed on one end of the female passageway 5 close to the identity verification port 1, a first old security inspection passageway 8 is formed on one side of the first old security inspection passageway 6, a second old security inspection passageway 9 is formed on one side of the second old security inspection passageway 7, a first middle-age security inspection passageway 10 is formed on one side of the first old security inspection passageway 8, a second middle-age security inspection passageway 11 is formed on one side of the second old, Security doors 12 are respectively arranged in the second old security inspection channel 7, the first juvenile security inspection channel 8, the second juvenile security inspection channel 9, the first middle security inspection channel 10 and the second middle security inspection channel 11;
setting the age of a passenger as X, and totally dividing one entrance into six security inspection channels, wherein three are male, three are female, and the number of the male and the female is three;
when X is less than 16, the passenger is juvenile;
when X is more than or equal to 16 and less than or equal to 50, the passenger is a middle-aged person;
when X is more than 50, the passenger is old;
the classification of security check channels according to different age groups enables the care of the passengers taking the airplane for the young and the old to be realized, the first security check channel 6 for the old and the second security check channel 7 for the old are close to the identity verification port 1, the footage of the old is reduced, meanwhile, the efficiency of security check is improved, the influence of the normal security check and boarding of the passengers for the middle aged on the young and the old is avoided, and unnecessary conflicts are also reduced.
In steps S3-S4, the data retrieval unit retrieves the history of the outbreak of traveler and the onset time t of the outbreak in the third-party database based on the traveler information identified by the certificate identification unit1、t2、t3、…、tiThe data import unit imports the retrieved data into the central processing unit;
temperature sensor to indoor temperature T1And outdoor temperature T2Detecting and transmitting the detection data to a central processing unit;
the central processing unit is used for processing the disease according to the disease attack time t of the passenger1、t2、t3、…、tiCalculating the period of onset
：
Setting the probability of disease attack every day as P, then:
setting the time of the latest attack as tXThe latest cycle of onset is (t)X-ti）；
The passenger is at tXProbability of onset P on this dayX：
Setting the indoor and outdoor temperature difference as T, then:
the statistics of big data shows that the incidence probability of the outbreak disease is increased by a% when the temperature difference is 1 ℃, and the incidence probability of the outbreak disease caused by the temperature difference is PY;
let the total probability of outbreak of the outbreak passenger on the day of tX beAnd then:
in the steps S5-S6, the central processing unit carries out descending sequencing of the outbreak probability of the outbreak of the passengers with the outbreak of the passengers, the intelligent monitoring camera carries out key monitoring on the passengers with higher outbreak of the passengers by utilizing an intelligent vision technology, when the passengers fall down and cover the chest, the central processing unit controls the voice alarm unit to carry out voice alarm reminding, nearby workers and medical staff are informed to go to the area where the passengers with the outbreak of the passengers to be rescued in time immediately, and precious rescue time can be provided for the rescue of the outbreak of the passengers.
In the step S7, the central processing unit is used to store the information of all passengers with the probability of morbidity into the stored data for storage, so as to avoid the need of searching again from the third-party database when passengers take the airplane again in the later period, thereby effectively reducing the number of times of searching and effectively saving system resources.
The first embodiment is as follows: a passenger, a sex male, age 35 years old, without sudden onset of disease history, holding valid identity card;
the passenger firstly carries out face identification and the verification of effective identity document, passenger face information and effective identity document information are unanimous, the voice broadcast unit according to its "sex is male, the identity information of age 35 year", reports this passenger and goes to first middle-aged security installations passageway (10) and carries out safety inspection, and, central processing unit judges this passenger does not have the outbreak of disease medical history, and this passenger carries out normal security installations procedure, and normal waiting program carries out.
Example two: a passenger, a sex male, age 35 years old, without sudden onset history, holding invalid identity card;
the passenger firstly carries out face recognition and verification of the valid identity document, the face information of the passenger is consistent with the information of the valid identity document, but the voice broadcasting unit reminds that the identity verification fails and needs to be carried out again because the identity document is an invalid identity document.
Example three: a passenger, a gender woman, age 35 years, no history of outbreak, holding a valid identity document;
the passenger at first carries out face identification and the verification of effective identity document, and passenger face information is unanimous with effective identity document information, and the voice broadcast unit is according to its "sex woman, the identity information of age 35 year", reports this passenger and goes to second middle-aged security installations passageway (11) and carries out safety inspection, and, central processing unit judges this passenger does not have the outbreak of illness medical history, and this passenger carries out normal security installations procedure, and normal waiting program carries out.
Example four: one passenger is at tX: 2019.08.28 day, selecting airplane, sex male, age 35 year, sudden onset history, and historical onset time t1:2018.05.12、t2:2018.09.25、t3:2019.01.21、t4:2019.4.20、t52019.08.10, hand-held valid identity document, indoor temperature T1=26 ℃, outdoor temperature T2=34 ℃, according to big data statistics, the incidence of outbreak increases by 1.23% for every 1 ℃ difference in temperature difference;
the method comprises the steps that firstly, a passenger carries out face recognition and verification of an effective identity document, the face information of the passenger is consistent with the information of the effective identity document, a voice broadcasting unit broadcasts the passenger to go to a first middle-aged security inspection channel (10) for security inspection according to the identity information of sex male and age 35 years of the passenger, a central processing unit judges that the passenger has a sudden onset disease history, a data retrieval unit carries out retrieval on the sudden onset disease history in a third-party database, and guides a sudden onset disease record of the passenger into the central processing unit to calculate the sudden onset disease rate of the passenger;
the average disease period was calculated according to the formula:
calculating the incidence probability P of each day according to a formula:
the last disease period is (t)X-ti) =18 days;
the passenger is at tX：2019.08.28 probability of onset P on the same dayX：
Calculating the indoor and outdoor temperature difference as T according to a formula, then:
calculating the incidence probability PY caused by the temperature difference according to the temperature difference;
calculating the total probability of the passenger's disease occurrence on the day of tX
And then:
when the incidence probability percentage is set to be 60%, intelligent monitoring is carried out, so that intelligent monitoring is not carried out on the passenger.
Example five: one passenger is at tX: 2019.08.28 the male with sex is 55 years old, has sudden onset history, and has a history of t1:2018.05.12、t2:2018.09.25、t3:2019.02.15、t42019.6.10, hand-held valid identity document, indoor temperature T1=26 ℃, outdoor temperature T2=38 ℃, according to big data statistics,the difference of the temperature difference is 1 ℃, the incidence rate of the outbreak disease is increased by 1.23 percent;
the method comprises the steps that firstly, a passenger carries out face recognition and verification of an effective identity document, the face information of the passenger is consistent with the information of the effective identity document, a voice broadcasting unit broadcasts the passenger to go to a first old security inspection channel (6) for security inspection according to the identity information of the passenger, namely, the sex of the passenger is male and the age of 55 years, a central processing unit judges that the passenger has sudden onset of disease history, a data retrieval unit carries out retrieval on the sudden onset of disease history in a third-party database, the sudden onset of disease record of the passenger is led into the central processing unit, and the sudden onset of disease incidence rate of the passenger is calculated;
the average disease period was calculated according to the formula:
calculating the incidence probability P of each day according to a formula:
；
the last disease period is (t)X-ti) =79 days;
the passenger is at tX：2019.08.28 probability of onset P on the same dayX：
Calculating the indoor and outdoor temperature difference as T according to a formula, then:
；
calculating the incidence probability PY caused by the temperature difference according to the temperature difference;
；
calculate passenger at tXThe total probability of onset of a day is
And then:
when the incidence probability percentage is set to be 60%, intelligent monitoring is carried out, so that the passengers need to be intelligently monitored;
when the behavior of the passenger is analyzed, the passenger is judged to fall, and at the moment, the voice alarm unit carries out voice alarm to report the position of the passenger, and peripheral medical personnel and staff can arrive in time to rescue the passenger.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. The utility model provides a big data airport security check management system based on intelligent vision which characterized in that: the airport security check management system comprises an information acquisition module, a data processing center, a data calling module and a reminding module;
the output ends of the information acquisition module and the data calling module are electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the input end of the reminding module.
2. The big data airport security check management system based on intelligent vision of claim 1, wherein: the data processing center is used for calculating, processing and identifying the data of the airport security check management system and also used for storing and comparing the data;
the data processing center comprises a central processing unit, an information matching unit and a storage database;
the output end of the information matching unit is electrically connected with the input end of the central processing unit, and the output end of the central processing unit is electrically connected with the input end of the storage database;
the central processing unit is used for intelligently controlling the whole system, the information matching unit is used for comparing and verifying the identity information of passengers, and the storage database is used for storing the data of the airport security check management system.
3. The big data airport security check management system based on intelligent vision of claim 1, wherein: the information acquisition module is used for acquiring passenger identity information, environment information and passenger behavior characteristic information;
the information acquisition module comprises a face recognition camera, a certificate recognition unit, a temperature sensor and an intelligent monitoring camera;
the output ends of the face recognition camera and the certificate recognition unit are electrically connected with the input end of the information matching unit, and the output ends of the temperature sensor and the intelligent monitoring camera are electrically connected with the input end of the central processing unit;
the intelligent airport security inspection system comprises a face recognition camera, a certificate recognition unit, a temperature sensor, an airport waiting hall, an airport temperature sensor, an airport terminal, a passenger terminal, a temperature sensor, an.
4. The big data airport security check management system based on intelligent vision of claim 1, wherein: the data calling module is used for calling the emergency medical history data of the passengers entering the station and providing data reference for the passengers needing key monitoring by the intelligent monitoring camera;
the data calling module comprises a third-party database, a data retrieval unit and a data import unit;
the third-party database is a sudden onset disease history database of each large hospital, the data retrieval unit is used for retrieving sudden onset disease history of passengers in the third-party database, and the data import unit is used for importing the sudden onset disease history of the passengers with the sudden onset disease history into the storage database.
5. The big data airport security check management system based on intelligent vision of claim 2, wherein: the reminding module is used for reminding passengers and staff;
the reminding module comprises a voice broadcasting unit and a voice alarming unit;
the output end of the central processing unit is electrically connected with the input ends of the voice broadcasting unit and the voice alarm unit;
the voice broadcasting unit is installed in face identification camera one side for the security check mouth serial number that should go to the passenger is reported, the voice alarm unit is installed in each corner of airport waiting room for to the timely warning of the condition that the outbreak of disease appears, remind near staff and medical personnel in time to look over.
6. A big data airport security check management method based on intelligent vision is characterized by comprising the following steps: the method further comprises the following steps:
s1, carrying out identity authentication on the passenger by using the face recognition camera and the certificate recognition unit;
s2, the passengers are shunted according to the sex and age of the passengers, and the security check channel is broadcasted by using the voice broadcasting unit;
s3, the data retrieval unit is used for retrieving the history of the passenger outbreak disease in a third-party database and uploading the history to the central processing unit;
s4, calculating the incidence of the passenger sudden illness history by using a central processing unit according to the indoor and outdoor temperature difference;
s5, carrying out behavior analysis on passengers with higher morbidity by using the intelligent monitoring camera;
s6, analyzing whether the behavior of the passenger falls over the ground by the intelligent monitoring camera, and performing alarm processing by using a voice alarm unit;
and S7, storing all passenger information into a storage database for backup by using the central processing unit.
7. The big data airport security check management method based on intelligent vision of claim 6, wherein: in the steps S1-S2, the face recognition camera is used for recognizing face information of the traveler, the document recognition unit is used for recognizing an effective identity document of the traveler, the information matching unit is used for comparing the face information of the traveler with the effective identity document information, whether the traveler takes the passenger on the identity document is judged, the central processing unit broadcasts the security check channel number of the traveler according to the passenger taking information recognized by the document recognition unit and the voice broadcasting unit, and the central processing unit distributes the security check channels according to the gender and age of the traveler.
8. The big data airport security check management method based on intelligent vision of claim 6, wherein: in the steps S3-S4, the data retrieval unit retrieves the history of the outbreak disease and the onset time t of the outbreak disease of the traveler in a third-party database according to the traveler information identified by the certificate identification unit1、t2、t3、…、tiThe data import unit imports the retrieved data into a central processing unit;
the temperature sensor is used for measuring the indoor temperature T1And outdoor temperature T2Detecting and transmitting the detection data to a central processing unit;
the central processing unit is used for processing the attack time t according to the passenger1、t2、t3、…、tiCalculating the period of onset
：
Setting the probability of disease attack every day as P, then:
；
setting the time of the latest attack as tXThe latest cycle of onset is (t)X-ti）；
The passenger is at tXProbability of onset P on this dayX：
Setting the indoor and outdoor temperature difference as T, then:
the statistics of big data shows that the incidence probability of the outbreak disease is increased by a% when the temperature difference is 1 ℃, and the incidence probability of the outbreak disease caused by the temperature difference is PY;
；
let the total probability of outbreak of the outbreak passenger on the day of tX be
And then:
9. the big data airport security check management method based on intelligent vision of claim 6, wherein: in steps S5-S6, central processing unit carries out the descending order of outbreak disease incidence probability to the passenger that has the outbreak disease, intelligence monitoring camera utilizes intelligent vision technique to carry out key monitoring to the passenger that the outbreak disease incidence is higher, when the passenger appears falling down, the action of covering the chest, central processing unit control voice alarm unit carries out the audio alert and reminds, notifies near staff and medical personnel to go to the region that the passenger that takes a disease is located immediately and carries out timely rescue.
10. The big data airport security check management method based on intelligent vision of claim 6, wherein: in step S7, the central processing unit stores the information of all passengers with probability of occurrence into the storage data and saves the information.
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