CN110415418A - A kind of rail electricity passenger flow volume statistical method - Google Patents
A kind of rail electricity passenger flow volume statistical method Download PDFInfo
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- CN110415418A CN110415418A CN201910732385.3A CN201910732385A CN110415418A CN 110415418 A CN110415418 A CN 110415418A CN 201910732385 A CN201910732385 A CN 201910732385A CN 110415418 A CN110415418 A CN 110415418A
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- card
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- swiping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C2209/00—Indexing scheme relating to groups G07C9/00 - G07C9/38
- G07C2209/02—Access control comprising means for the enrolment of users
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- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a kind of rail electricity passenger flow volume statistical methods, are related to technical field of transportation, transfer the data of history rail electricity visitor, service time, train number, the time of departure, down time including rail electricity visitor;Ticketing amount and the amount of swiping the card are calculated;Monitoring device in standing at entrance takes pictures to passenger;Monitoring device and the Skynet system of public security organ connect.Ticket machine of the present invention is counted using ticketing card-swiping mode, ticket machine records ticketing number, and switched to binary electrical signal, and data are directly fed back in the big data of cloud by Wireless Transmitter, quickly ticketing amount is counted, using the entrance in rail electricity visitor, the POS is set, passenger loading is swiped the card, after swiping the card, the electric signal for generation of swiping the card is switched to binary electrical signal by the POS, and data are directly fed back in the big data of cloud by Wireless Transmitter, quickly the amount of swiping the card is counted, to count number in time.
Description
Technical field
The present invention relates to technical field of transportation, specially a kind of rail electricity passenger flow volume statistical method.
Background technique
Rail electricity objective (Tram, Streetcar, Tramcar) is using the light-duty rail for being driven by electricity and travelling in orbit
Road vehicular traffic, rail electricity visitor are a kind of public transports, also known as road surface electricity visitor, referred to as electricity visitor, belong to one kind of light railway, train
Five sections are usually no more than, but due to occupying path space in street travel;In addition, certain cables run on the track in urban district
Che Yike can be regarded as one kind of road surface electricity visitor, and for electricity visitor to be driven by electricity, vehicle will not discharge exhaust gas, thus be a kind of free of contamination ring
Protect the vehicles.
With flourishing for city, rail electricity visitor already becomes the important tool of people's trip, and people are all the time
Rail electricity visitor is being taken, and with the continuous growth of China's economic and the size of population, the following rail electricity visitor will become in rising
The development of gesture, while passengers quantity is also rapidly being incremented by.
It is well known that Chinese population is the first in the world, peak period, necessarily will appear some disobey daily morning and evening when overstaffed
The generation of phenomenon is advised, in order to guarantee the safety of passenger and rule of abiding by the law, monitoring device, monitoring device can be generally installed in station
By Image Real-time Transmission to Central Control Room, but since passenger is excessive, number can not be counted in time, so that rail electricity visitor has economy
The problem of loss, and the information for the personnel of stealing a ride can not be shown in time, so that violations of rules and regulations cannot restrict.
Summary of the invention
It is an object of the invention to: it is excessive in order to solve passenger, number can not be counted in time, so that rail electricity visitor exists
The problem of economic loss, and the information for the personnel of stealing a ride can not be shown in time, so that the problem of violations of rules and regulations cannot restrict, provides
A kind of rail electricity passenger flow volume statistical method.
To achieve the above object, the invention provides the following technical scheme: a kind of rail electricity passenger flow volume statistical method, including with
Lower step:
S1, the data for transferring history rail electricity visitor, when including rail electricity objective service time, train number, the time of departure, parking
Between;
S2, ticketing amount and the amount of swiping the card are calculated;
S3, stand in monitoring device at entrance take pictures to passenger;
S4, monitoring device and the Skynet system of public security organ connect;
S5, Skynet system identify photo, and establish credit database.
Preferably, the service time in the S1 is 16 hours/day, and train number is 4 times/day, and the time of departure is 6:00 AM,
Down time is 1-3 minutes.
Preferably, the departing time interval time is 5-10 minutes in the S1.
Preferably, the S2 is specifically included, and ticket machine is counted using ticketing card-swiping mode, and ticket machine records ticket agent
Number, and switched to binary electrical signal, and data are directly fed back in the big data of cloud by Wireless Transmitter, it is quickly right
Ticketing amount is counted.
Preferably, the POS being set using the entrance in rail electricity visitor in the S2, passenger loading is swiped the card, after swiping the card,
The electric signal for generation of swiping the card is switched to binary electrical signal by the POS, and data are directly fed back to cloud by Wireless Transmitter
In big data, quickly the amount of swiping the card is counted.
Preferably, the S3 is specifically included, and is taken pictures by monitoring device to the passenger to get on the bus, when getting off to face into
Row is taken pictures.
Preferably, the captured face out of monitoring device is directly displayed on the large screen of each exit in the S3, is purchased
When ticket or the passenger getting off car swiped the card, the face on large screen is controlled by monitoring indoor manual operation, is disappeared on large screen,
When the passenger getting off car stolen a ride, photo taken by monitored device is directly fed back on the large screen of each exit.
Preferably, when the data for including in the credit database of the S5 have the photo of the personnel of stealing a ride, personal information, steal a ride
Between, steal a ride and place and steal a ride number.
Compared with prior art, the beneficial effects of the present invention are: the present invention provides a kind of objective guest flow statistics side of rail electricity
Method, ticket machine are counted using ticketing card-swiping mode, and ticket machine records ticketing number, and is switched to binary electrical signal,
And data are directly fed back in the big data of cloud by Wireless Transmitter, quickly ticketing amount is counted, using in rail
The POS is arranged in the entrance of electric visitor, and passenger loading is swiped the card, and after swiping the card, the electric signal for generation of swiping the card is switched to binary system by the POS
Electric signal, and data are directly fed back in the big data of cloud by Wireless Transmitter, quickly the amount of swiping the card is counted, thus
Number is counted in time, so that rail electricity visitor avoids the problem that utilizing the day of monitoring device and public security organ there are economic loss
The connection of net system, Skynet system identifies photo, and establishes credit database, and the data for including in credit database, which have, to be escaped
The photo of ticket personnel, personal information, time of stealing a ride, steal a ride place and number of stealing a ride, facilitate public security organ personnel in accordance with the law to its into
Row punishment, and steal a ride passenger getting off car when, photo taken by monitored device directly feeds back the large screen in each exit
On, so as to cause personnel's note that the repeatedly generation stolen a ride is avoided, so that violations of rules and regulations are restricted in station.
Specific embodiment
Below in conjunction with the embodiment of the present invention, technical scheme in the embodiment of the invention is clearly and completely described,
Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts, all
Belong to the scope of protection of the invention.
A kind of rail electricity passenger flow volume statistical method, comprising the following steps:
S1, the data for transferring history rail electricity visitor, when including rail electricity objective service time, train number, the time of departure, parking
Between;
S2, ticketing amount and the amount of swiping the card are calculated;
S3, stand in monitoring device at entrance take pictures to passenger;
S4, monitoring device and the Skynet system of public security organ connect;
S5, Skynet system identify photo, and establish credit database.
Preferably, the service time in the S1 is 16 hours/day, and train number is 4 times/day, and the time of departure is 6:00 AM,
Down time is 1-3 minutes.
Preferably, the departing time interval time is 5-10 minutes in the S1.
Preferably, the S2 is specifically included, and ticket machine is counted using ticketing card-swiping mode, and ticket machine records ticket agent
Number, and switched to binary electrical signal, and data are directly fed back in the big data of cloud by Wireless Transmitter, it is quickly right
Ticketing amount is counted.
Preferably, the POS being set using the entrance in rail electricity visitor in the S2, passenger loading is swiped the card, after swiping the card,
The electric signal for generation of swiping the card is switched to binary electrical signal by the POS, and data are directly fed back to cloud by Wireless Transmitter
In big data, quickly the amount of swiping the card is counted.
Preferably, the S3 is specifically included, and is taken pictures by monitoring device to the passenger to get on the bus, when getting off to face into
Row is taken pictures.
Preferably, the captured face out of monitoring device is directly displayed on the large screen of each exit in the S3, is purchased
When ticket or the passenger getting off car swiped the card, the face on large screen is controlled by monitoring indoor manual operation, is disappeared on large screen,
When the passenger getting off car stolen a ride, photo taken by monitored device is directly fed back on the large screen of each exit.
Preferably, when the data for including in the credit database of the S5 have the photo of the personnel of stealing a ride, personal information, steal a ride
Between, steal a ride and place and steal a ride number.
Below will with specific embodiment come the present invention is further explained
S1, the data for transferring history rail electricity visitor, the service time including rail electricity visitor is 16 hours/day, train number 4
Times/day, the time of departure is 6:00 AM, and the departing time interval time is 5-10 minutes, and down time is 1-3 minutes;
S2, ticketing amount and the amount of swiping the card are calculated, wherein ticket machine is counted using ticketing card-swiping mode, ticketing
Machine records ticketing number, and is switched to binary electrical signal, and it is big by Wireless Transmitter data to be directly fed back to cloud
In data, quickly ticketing amount is counted, the POS is set using the entrance in rail electricity visitor, passenger loading is swiped the card, and is brushed
After card, the electric signal for generation of swiping the card is switched to binary electrical signal by the POS, and is directly fed back data by Wireless Transmitter
Into cloud big data, quickly the amount of swiping the card is counted;
S3, stand in monitoring device at entrance take pictures to passenger, the passenger to get on the bus is carried out by monitoring device
It takes pictures, takes pictures when getting off to face, the captured face out of monitoring device is directly displayed on the large screen of each exit,
When booking or the passenger getting off car swiped the card, the face on large screen is disappeared on large screen by monitoring indoor manual operation control
It loses, when the passenger getting off car stolen a ride, photo taken by monitored device is directly fed back on the large screen of each exit, thus
Cause to stand interior staff's note that avoiding the repeatedly generation stolen a ride;
S4, monitoring device and the Skynet system of public security organ connect;
S5, Skynet system identify photo, and establish credit database, and the data for including in credit database, which have, to be escaped
The photo of ticket personnel, personal information, time of stealing a ride, steal a ride place and number of stealing a ride, facilitate public security organ personnel in accordance with the law to its into
Row punishment.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any label in claim should not be construed as limiting the claims involved.
Claims (8)
1. a kind of rail electricity passenger flow volume statistical method, it is characterised in that: the following steps are included:
S1, the data for transferring history rail electricity visitor, service time, train number, the time of departure, down time including rail electricity visitor;
S2, ticketing amount and the amount of swiping the card are calculated;
S3, stand in monitoring device at entrance take pictures to passenger;
S4, monitoring device and the Skynet system of public security organ connect;
S5, Skynet system identify photo, and establish credit database.
2. a kind of rail electricity passenger flow volume statistical method according to claim 1, it is characterised in that: when operation in the S1
Between be 16 hours/day, train number is 4 times/day, and the time of departure is 6:00 AM, and down time is 1-3 minutes.
3. a kind of rail electricity passenger flow volume statistical method according to claim 2, it is characterised in that: the time of departure in the S1
Interval time is 5-10 minutes.
4. a kind of rail electricity passenger flow volume statistical method according to claim 1, it is characterised in that: the S2 is specifically included,
Ticket machine is counted using ticketing card-swiping mode, and ticket machine records ticketing number, and is switched to binary electrical signal, and lead to
It crosses Wireless Transmitter data are directly fed back in the big data of cloud, quickly ticketing amount is counted.
5. a kind of rail electricity passenger flow volume statistical method according to claim 1, it is characterised in that: using having in the S2
Rail electricity visitor entrance be arranged the POS, passenger loading is swiped the card, after swiping the card, the POS by the electric signal for generation of swiping the card switch to two into
Electric signal processed, and data are directly fed back in the big data of cloud by Wireless Transmitter, quickly the amount of swiping the card is counted.
6. a kind of rail electricity passenger flow volume statistical method according to claim 1, it is characterised in that: the S3 is specifically included,
It is taken pictures by monitoring device to the passenger to get on the bus, is taken pictures when getting off to face.
7. a kind of rail electricity passenger flow volume statistical method according to claim 6, it is characterised in that: monitoring device in the S3
It is captured go out face be directly displayed on the large screen of each exit, when booking or the passenger getting off car swiped the card, on large screen
Face is disappeared on large screen by monitoring indoor manual operation control, and when the passenger getting off car stolen a ride, monitored device is clapped
The photo taken the photograph directly is fed back on the large screen of each exit.
8. a kind of rail electricity passenger flow volume statistical method according to claim 1, it is characterised in that: the credit data of the S5
The data for including in library have the photo for the personnel of stealing a ride, personal information, time of stealing a ride, steal a ride place and number of stealing a ride.
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CN201910732385.3A CN110415418A (en) | 2019-08-09 | 2019-08-09 | A kind of rail electricity passenger flow volume statistical method |
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CN103605967A (en) * | 2013-11-26 | 2014-02-26 | 东华大学 | Subway fare evasion prevention system and working method thereof based on image recognition |
CN105654032A (en) * | 2015-12-15 | 2016-06-08 | 重庆凯泽科技有限公司 | Statistical system of number of people on bus based on face detection and statistical method thereof |
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Application publication date: 20191105 |