CN108229400A - Subway station large passenger flow identification method for early warning and system - Google Patents
Subway station large passenger flow identification method for early warning and system Download PDFInfo
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- CN108229400A CN108229400A CN201810010490.1A CN201810010490A CN108229400A CN 108229400 A CN108229400 A CN 108229400A CN 201810010490 A CN201810010490 A CN 201810010490A CN 108229400 A CN108229400 A CN 108229400A
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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
Abstract
A kind of subway station large passenger flow identification method for early warning and system, this method include：It determines station layer and station hall layer needs the area of detection zone and monitor camera interior placement position AT STATION；The passenger flow information of different zones is obtained according to the video image information of the collected different zones of monitor camera；Calculate station layer and the intensity of passenger flow of station hall layer and intensity of passenger flow change rate；According to station layer and the intensity of passenger flow of station hall layer and the video image information of the collected trapezoidal channel of intensity of passenger flow change rate, monitor camera and transferring passage, and the subway station discrepancy volume of the flow of passengers information obtained by AFC system equipment, determine large passenger flow source, flow direction and large passenger flow warning grade.Technical solution provided by the invention utilizes the passenger flow data of key position in intensity of passenger flow and intensity of passenger flow change rate and station, and the source, flow direction to large passenger flow are identified, and warning index is more comprehensive, early warning mechanism more science.
Description
Technical field
The present invention relates to a kind of field of traffic control, more particularly to a kind of subway station large passenger flow identify method for early warning and
System.
Background technology
It using subway as the integrated transportation system of backbone, plays an important role to alleviate urban traffic pressure, is city
Development provides powerful motive force.As subway Network scale constantly expands, accessibility, the convenience of subway are continuously improved,
Its attraction to passenger flow also constantly increases.The volume of the flow of passengers sharply increased also makes metro safety face new challenges, transport power fortune
The problems such as mismatch of amount, the load intensity of peak period circuit persistently increase, transfer stop transfer passenger flow amount is increased sharply all gradually dashes forward
It shows and.The place that subway station is largely assembled as passenger, the passenger flow supersaturation state frequency of occurrences is higher, to metro safety
The higher that safeguard work proposes is higher.
Metro passenger flow early warning is according to the collected real-time passenger flow data of history passenger flow rule and field observation, in advance to i.e.
The large passenger flow situation of generation is made into rank judgement, is issued warning signal, and to related contingency management Section report field conditions,
Determine passenger flow control scheme, purpose and meaning are to predict security risk, are preventive from possible trouble.Grasp complete Trip distribution in detail
Information understands real-time passenger flow state, targetedly carries out early warning to high intensity passenger flow, is conducive to choose appropriate Transport capacity dispatching
Scheme, emergency evacuation and passenger organization scheme, and then the ability of subway station processing large passenger flow situation is improved, reduce large passenger flow band
The risk come utmostly ensures passenger's safety.
The early warning of subway station large passenger flow at present also rests on artificial monitoring also in ground zero stage, the identification of passenger flow state
Mode depends on the daily tour of station staff and the observation to station key area monitoring image, early warning mechanism
It is relatively simple.Passenger flow early warning based on image information collecting, there are selection inspection target it is single, ignore for big
The judgement of the type of passenger flow, the problems such as simply equally considering the other positions such as Escalator, stair, channel.And utilize station
The passenger flow data of AFC system (Automatic Fare Collection, abbreviation AFC) device statistics, usually there is one
Fixed hysteresis quality, and the specific Trip distribution situation in station cannot be obtained.
Problem above all illustrates that current method for early warning can not all keep up with growing passenger flow demand, and there are larger hidden
Suffer from.
Invention content
It is an object of the invention to propose a kind of subway station large passenger flow identification method for early warning and system, with science, comprehensively
Ground carries out the large passenger flow early warning of subway station.
For this purpose, the present invention uses following technical scheme：
A kind of subway station large passenger flow identifies method for early warning, the method includes：Determine that station layer and station hall layer need to examine
Survey the area in region and monitor camera interior placement position AT STATION；According to the collected difference of the monitor camera
The video image information in region obtains the passenger flow information of the different zones, and the different zones include the station layer and described
Station hall layer；According to station layer described in the unit interval and the passenger flow information of the station hall layer, the station layer and the station are calculated
The intensity of passenger flow and intensity of passenger flow change rate of Room layer；It is close according to the intensity of passenger flow and passenger flow of the station layer and the station hall layer
Spend the video image information of change rate, the collected trapezoidal channel of monitor camera and transferring passage and by automatic ticket inspection
The subway station discrepancy volume of the flow of passengers information that system equipment obtains, determines large passenger flow source, flow direction and large passenger flow warning grade.
In said program, after the determining large passenger flow source, flow direction and large passenger flow warning grade, the method is also wrapped
It includes：When the large passenger flow warning grade is more than the grade threshold of setting, according to the large passenger flow source, flow direction and described big
Passenger flow warning grade determines corresponding treatment measures；After corresponding treatment measures are implemented, repetition judges the large passenger flow
Whether warning grade is more than the grade threshold set, until the large passenger flow warning grade is less than or equal to the grade threshold of the setting
Value.
In said program, the determining station layer and the station hall layer need the area of detection zone, including：According to following
Formula determines that the station hall layer and the station layer need the area of detection zone：Ah=Sh-Nh, Ap=Sp-Np.Wherein, AhIt is to multiply
Visitor is in the area in the region that subway concourse can reach, ShIt is the station hall layer gross area, NhIt is passenger in the face in the not accessibility region of subway concourse
Product；ApIt is area of the passenger in the region that platform can reach, SpIt is the station layer gross area, NpIt is that passenger does not reach in platform
Region area；And/or the placement position for determining the monitor camera, including：It can be with by passenger in subway station
Each region of arrival is divided；Monitor camera is laid in each region that passenger can reach, makes all described multiply
Each region that visitor can reach is coated in the monitoring range of monitor camera；In the described trapezoidal logical of uplink and downlink
The inlet setting monitor camera in road；In the inlet of the transferring passage, monitor camera is set.
In said program, it is described according to the video image information of the collected different zones of monitor camera obtain described in not
With the passenger flow information in region, including：Obtain the video image that the monitor camera is acquired every 30s；By using computer
Vision algorithm handles the video image, obtains the volume of the flow of passengers of each region；By using video pedestrian detection technology
The video image of each trapezoidal channel is handled, obtains evacuation time of each group of passenger in trapezoidal channel mouth.
In said program, before the determining large passenger flow source, flow direction and large passenger flow warning grade, the method is also wrapped
It includes：Obtain the passenger flow data every each AFC system equipment of 30s；According to the visitor of each AFC system equipment
Flow data calculates the enter the station volume of the flow of passengers and the outbound volume of the flow of passengers of the subway station in unit interval.
It is described according to station layer described in the unit interval and the passenger flow information of the station hall layer in said program, calculate institute
The intensity of passenger flow of station layer and the station hall layer and intensity of passenger flow change rate are stated, including：Visitor was photographed based on each video camera
Person who lives in exile's number calculates platform and the real-time intensity of passenger flow of platform according to the following formula：Wherein, DhFor
Station hall layer intensity of passenger flow, PhnThe passenger flow number in the n-th region for station hall layer, AhIt is passenger in the face in the region that subway concourse can reach
Product；DpFor station layer intensity of passenger flow, PpnThe passenger flow number in each region for station layer, ApIt is passenger in the area that platform can reach
The area in domain；It is inputted with the intensity of passenger flow of 30s time granularities, the average passenger flow calculated according to the following formula in the 5min periods is close
Degree：
The intensity of passenger flow change rate of station layer and station hall layer is calculated according to the following formula：
Wherein, RhFor station hall layer intensity of passenger flow change rate,For rear 5min station hall layers passenger flow averag density,It is preceding
5min station hall layer passenger flow averag densities, RpFor station layer intensity of passenger flow change rate,It is average close for rear 5min station layers passenger flow
Degree,For preceding 5min station layers passenger flow averag density.
In said program, before the determining large passenger flow source, flow direction and large passenger flow warning grade, the method is also wrapped
It includes：Large passenger flow warning grade is divided into M grade, and the real-time visitor of alert status is calculated according to the following formula according to intensity of passenger flow
Current density：
Wherein, YiFor the real-time intensity of passenger flow threshold value of i-stage alert status, RiFor in the region under i-stage alert status
Passenger flow is detained ratio, ApFor personal occupied area, M is natural number, and i is natural number, 1≤i≤M.
In said program, the determining large passenger flow source, flow direction and large passenger flow warning grade, including：According to following public affairs
Formula calculates the traffic capacity of each group of trapezoidal channel：
μn=C1×dn1+C2×dn2
Wherein, μnFor the traffic capacity of n-th group trapezoidal channel, C1The traffic capacity of stair for unit width, C2For unit
The traffic capacity of the Escalator of width, dn1For the effective width of n-th group stair, dn2Effective width for n-th group Escalator；
The evacuation passenger flow of each group of trapezoidal channel is calculated according to the following formula：
Qn=tn×μn
Wherein, QnPassenger flow number, t are evacuated for n-th group trapezoidal channelnThe passenger flow of each trapezoidal channel after being reached for each train
Evacuation time, μnFor the traffic capacity of n-th group trapezoidal channel, tnAccording to the video figure of the collected trapezoidal channel of monitor camera
As obtaining；
Uplink is calculated according to the following formula, downlink each train leaves the platform volume of the flow of passengers：
Wherein, the volume of the flow of passengers that Q is each uplink, down train arrives at a station, QIt is outboundFor the outbound volume of the flow of passengers of the train, QTransferFor the row
Vehicle transfer passenger flow amount；
It is obtained according to the video image information of the collected transferring passage of monitor camera and multiplied per 30s transferring passage all directions
Visitor passes through number；
It is obtained according to every 30s transferring passage all directions passengers by number and by AFC system equipment
Subway station enter the station data and outbound data, calculate the composition data of the various volumes of the flow of passengers in large passenger flow；
Station is left according to the composition data of the volumes of the flow of passengers various in the large passenger flow and the uplink, downlink each train
The platform volume of the flow of passengers determines large passenger flow source, flow direction and large passenger flow warning grade.
A kind of subway station large passenger flow identifies early warning system, the system comprises：Area determination unit, for determining platform
Layer and station hall layer need the area of detection zone and monitor camera interior placement position AT STATION；Data capture unit is used
In the passenger flow information that the different zones are obtained according to the video image information of the collected different zones of the monitor camera,
The different zones include the station layer and the station hall layer；Data processing integrated unit, for according to institute in the unit interval
The passenger flow information of station layer and the station hall layer is stated, calculates the intensity of passenger flow and intensity of passenger flow of the station layer and the station hall layer
Change rate；Monitoring and warning unit, for being changed according to the intensity of passenger flow and intensity of passenger flow of the station layer and the station hall layer
It the video image information of the collected trapezoidal channel of rate, monitor camera and transferring passage and is set by AFC system
The standby subway station discrepancy volume of the flow of passengers information obtained, determines large passenger flow source, flow direction and large passenger flow warning grade.
In said program, the system also includes early warning feedback unit, for being more than to set in the large passenger flow warning grade
During fixed grade threshold, determine to handle accordingly according to the large passenger flow source, flow direction and the large passenger flow warning grade and arrange
It applies；Repetition judges whether the large passenger flow warning grade is more than the grade threshold set, until the large passenger flow warning grade is small
In the grade threshold equal to the setting.
Method for early warning and system are identified using subway station large passenger flow provided by the invention, it is close using intensity of passenger flow and passenger flow
The passenger flow data of key position in change rate and station is spent, the source, flow direction to large passenger flow are identified, and warning index is more
Comprehensively, early warning mechanism more science.
Description of the drawings
Fig. 1 is the realization flow chart of subway station of embodiment of the present invention large passenger flow identification method for early warning；
Fig. 2 is the data acquisition schematic diagram in the embodiment of the present invention；
Fig. 3 is the alert status adjustment matrix schematic diagram in the embodiment of the present invention；
Fig. 4 is the composition structure diagram of subway station of embodiment of the present invention large passenger flow identification early warning system；
Fig. 5 is to carry out large passenger flow identification early warning using subway station large passenger flow identification early warning system in the embodiment of the present invention
Implementing procedure figure.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is only used for explaining the present invention rather than limitation of the invention.It also should be noted that for the ease of
It describes, part related to the present invention rather than entire infrastructure is illustrated only in attached drawing.
As shown in Figure 1, subway station large passenger flow identification method for early warning provided in an embodiment of the present invention includes：
Step 110, determine that station layer and station hall layer need the area of detection zone and monitor camera interior AT STATION
Placement position.
Step 120, the visitor of different zones is obtained according to the video image information of the collected different zones of monitor camera
Stream information, different zones include station layer and station hall layer.
Step 130, according to station layer in the unit interval and the passenger flow information of station hall layer, the visitor of station layer and station hall layer is calculated
Current density and intensity of passenger flow change rate.
Step 140, it is acquired according to the intensity of passenger flow and intensity of passenger flow change rate of station layer and station hall layer, monitor camera
The trapezoidal channel and the video image information of transferring passage that arrive and gone out by the subway station that AFC system equipment obtains
Enter volume of the flow of passengers information, determine large passenger flow source, flow direction and large passenger flow warning grade.
Here, trapezoidal channel includes Stairs and escalator.
The embodiment of the present invention comes in and goes out according to video image information and by the subway station that AFC system equipment obtains
Volume of the flow of passengers information determines large passenger flow source, flow direction and large passenger flow warning grade, overcomes at present only with video monitoring and people
Work makes an inspection tour the modes of warning for main means, and warning index is more comprehensive, and early warning mechanism more science, dynamical feedback process is more
Practicability and effectiveness.
In step 110, it is necessary first to determine station layer and station hall layer needs the area of detection zone, video camera to put
Position.Specifically, it is determined that when station layer and station hall layer need the area of detection zone, first according to formula
Ah=Sh-Nh, Ap=Sp-Np
Determine that station hall layer and station layer need the area of detection zone.Wherein, AhIt is passenger in the region that subway concourse can reach
Area, ShIt is the station hall layer gross area, NhIt is area of the passenger in the not accessibility region of subway concourse；ApBeing passenger can be in platform
The area in the region of arrival, SpIt is the station layer gross area, NpIt is area of the passenger in the not accessibility region of platform.
In embodiments of the present invention, it may be determined that Ah=Sh-Nh=750-350=400m2, Ap=Sp-Np=700-250=
450m2.Then, according to《Metro design code》(GB 50157-2013) and《Video security monitoring System Engineering Design specification》
(GB 50395-2007) defines subway concourse, platform installation camera deployment, while considers the actual conditions and limitation of subway concourse, platform
Property, determine placement position and the effect of monitor camera.
Specifically, first each region that passenger in subway station can reach is divided；Again by monitor camera cloth
Each region that passenger can reach is located at, each region that all passengers reach is allow to be coated over monitor camera
In monitoring range；Also, the inlet of the trapezoidal channel in uplink and downlink sets monitor camera；And in transferring passage
Inlet setting monitor camera.
Wherein, it when each region that passenger in subway station can reach is divided, needs first in subway station
All regions that can be reached of passenger are marked out on plan view, then each region is divided, and inhomogeneity is laid in each region
The monitor camera of type so that all accessibility regions of passenger are covered, and not region by video camera monitoring range
Situation about repeating.
As shown in Fig. 2, monitor camera 206, monitor camera 207, monitor camera 208 are mounted to different zones
Afterwards, video image is sent to subway station central processing unit 201, meanwhile, subway station central processing unit 201 also receives gate
202 and gate 203 enter the station passenger flow data and the outbound passenger flow data that send respectively.What subway station central processing unit 201 obtained
Passenger flow state is shown by video display 204, while subway station central processing unit 201 can be with far-end operation platform
205 exchange passenger flow data.
In the step 120, different zones are obtained according to the video image information of the collected different zones of monitor camera
Passenger flow information, including：Obtain the video image that monitor camera is acquired every 30s；By using computer vision algorithms make pair
Video image is handled, and obtains the volume of the flow of passengers of each region；By using video pedestrian detection technology to each trapezoidal channel
Video image handled, obtain evacuation time of each group of passenger in trapezoidal channel mouth.
Specifically, in the step 120, subway station central processing unit 110 is by the video image storage of upload to hard disk,
In, video image acquisition time interval is not limited to 30s, can in the light of actual conditions determine.Skill at far-end operation platform 205
Art personnel obtain each camera shooting area in the station the volume of the flow of passengers and each group of passenger trapezoidal channel mouth evacuation time
Afterwards, divide these data and each channel to direction volume of the flow of passengers result deposit video monitoring data library.
As shown in Table 1 is the passenger flow data of 30 minutes acquired using 30s as acquisition time interval.
The passenger flow data of 30 minutes that table 1 is acquired using 30s as acquisition time interval.
Wherein, number AnFor station layer video camera, number Bn is station hall layer video camera, and n is natural number.
In step 130, when calculating the intensity of passenger flow of station layer and station hall layer and during intensity of passenger flow interconversion rate, based on respectively regarding
Frequency video camera photographed passenger flow number, and platform and the real-time intensity of passenger flow of platform are calculated according to the following formula：
Wherein, DhFor station hall layer intensity of passenger flow, PhnThe passenger flow number in the n-th region for station hall layer, AhIt is passenger in subway concourse
The area in the region that can be reached；DpFor station layer intensity of passenger flow, PpnThe passenger flow number in each region for station layer, ApIt is passenger
Area in the region that platform can reach；
It is inputted with the intensity of passenger flow of 30s time granularities, the average passenger flow calculated according to the following formula in the 5min periods is close
Degree：
The intensity of passenger flow change rate of station layer and station hall layer is calculated according to the following formula：
Wherein, RhFor station hall layer intensity of passenger flow change rate,For rear 5min station hall layers passenger flow averag density,It is preceding
5min station hall layer passenger flow averag densities, RpFor station layer intensity of passenger flow change rate,It is average close for rear 5min station layers passenger flow
Degree,For preceding 5min station layers passenger flow averag density.
In embodiments of the present invention,
The intensity of passenger flow and intensity of passenger flow interconversion rate of 30 minutes as shown in Table 2.
The table intensity of passenger flow of 2 30 minutes and intensity of passenger flow interconversion rate
Before step 140, it is also necessary to obtain the passenger flow data of AFC system equipment, specially：Obtain every
The passenger flow data of each AFC system equipment of 30s；List is calculated according to the passenger flow data of each AFC system equipment
The enter the station volume of the flow of passengers and the outbound volume of the flow of passengers of subway station in the period of position.
Specifically, the passenger flow data every each gate of 30s is uploaded to station central processing unit, for far-end operation platform 205
The technical staff at place is called.Later, enter the station the in real time volume of the flow of passengers and the outbound passenger flow calculated according to these passenger flow datas
Amount is stored in AFC system database.As shown in table 3 is the passenger flow data in 30 minutes sections.
Passenger flow data in 3 30 minutes section of table
Wherein, number En is the gate that enters the station, and number 0n is outbound gate, and n is natural number.
Before step 140 determines large passenger flow source, flow direction and large passenger flow warning grade, it is also necessary to pre-set bus
The grade scale of stream, specifically：
Large passenger flow warning grade is divided into M grade, and alert status is calculated according to the following formula according to intensity of passenger flow
Real-time intensity of passenger flow：
Wherein, YiFor the real-time intensity of passenger flow threshold value of i-stage alert status, RiFor in the region under i-stage alert status
Passenger flow is detained ratio, ApFor personal occupied area, M is natural number, and i is natural number, 1≤i≤M.
Specifically, M=4 can be taken, i.e., large passenger flow grade is divided into tetra- grades of I, II, III, IV according to intensity of passenger flow,
Correspond to respectively large passenger flow have a full house, large area large passenger flow, local large passenger flow, four kinds of states of large passenger flow sign, warning grade for it is green,
Yellow, orange, red, former three-level is operational early warning, and the fourth stage is general early warning, and specifically the intensity of passenger flow threshold value of each grade can be tied
The practical passenger flow situation of specific city underground, operation personnel's experience, decision-making section is closed to suggest obtaining.
Specifically, in embodiments of the present invention, Ri reaches 90% and is set to I grades of alert status, and Ri reaches 70% and is set to II grades
Alert status, Ri reach 50% and are set to III level alert status, and Ri reaches 30% and is set to IV grades of alert status.It is personal occupied
Area Api is determined by shoulder breadth, body thickness and psychological distance, according to the actual conditions of China's adult physical fitness and correlative study knot
By plan value 0.3m2As personal occupied area.Large passenger flow warning grade divides as shown in table 4.
4 large passenger flow warning grade of table divides
| Large passenger flow grade | Warning grade | State | Delay ratio | Intensity of passenger flow lower limit (people/m2) |
| IV | It is green | Large passenger flow sign | 30% | 1.00 |
| III | It is yellow | Local large passenger flow | 50% | 1.67 |
| II | Orange | Large area large passenger flow | 70% | 2.33 |
| I | It is red | Large passenger flow is had a full house | 90% | 3.00 |
Therefore, the real-time intensity of passenger flow of subway concourse is 0.75 people/m2, 0.75 ＜ 1.00, subway concourse passenger flow is normal, the real-time passenger flow of platform
Density is 1.22 people/m2, 1.00 ＜, 1.22 ＜ 1.67, it is IV grades to primarily determine large passenger flow grade, and rate of change of the density is persistently higher than
0.05, growth trend is very fast, may be sudden large passenger flow.
In step 140, uplink is calculated according to the evacuation time of each stair and Escalator, downlink each car leaves platform visitor
Flow, outbound passenger are specially uplink or down direction, to be corresponded to according to true train arrival time and evacuation time record
It determines.
Later, the traffic capacity of each group of trapezoidal channel is calculated according to the following formula：
μn=C1×dn1+C2×dn2
Wherein, μnFor the traffic capacity of n-th group trapezoidal channel, C1The traffic capacity of stair for unit width, C2For unit
The traffic capacity of the Escalator of width, dn1For the effective width of n-th group stair, dn2Effective width for n-th group Escalator；
The evacuation passenger flow of each group of trapezoidal channel is calculated according to the following formula：
Qn=tn×μn
Wherein, QnPassenger flow number, t are evacuated for n-th group trapezoidal channelnThe passenger flow of each trapezoidal channel after being reached for each train
Evacuation time, μnFor the traffic capacity of n-th group trapezoidal channel, tnAccording to the video figure of the collected trapezoidal channel of monitor camera
As obtaining；
Uplink is calculated according to the following formula, downlink each train leaves the platform volume of the flow of passengers：
Wherein, the volume of the flow of passengers that Q is each uplink, down train arrives at a station, QIt is outboundFor the outbound volume of the flow of passengers of the train, QTransferFor the row
Vehicle transfer passenger flow amount；
Later, it is obtained according to the video image information of the collected transferring passage of monitor camera each per 30s transferring passages
Direction passenger sets by number, and according to every 30s transferring passages all directions passenger by number and by AFC system
Enter the station data and outbound data for the standby subway station obtained, calculates the composition data of the various volumes of the flow of passengers in large passenger flow；
Then platform visitor is left according to the composition data of the volumes of the flow of passengers various in large passenger flow and uplink, downlink each train
Flow determines large passenger flow source, flow direction and large passenger flow warning grade.
It illustrates：Certain subway station has 2 groups of data feedback channels, and first group of escalator effective width is 1 meter, stair are effectively wide
It is 3 meters to spend, and second group of escalator effective width is 1 meter, stair effective width is 2 meters, every 1 meter wide escalator traffic capacity
For 7200 people/h, every 1 meter wide stair traffic capacity is 4800 people/h, first group of 38s of evacuation time, second group of 46s.
At this point, Q1=t1×μ1The traffic capacity of=38 × 6.5=247, first group of stair and Escalator
μ1=C1×d11+C2×d22=2 × 1+1.5 × 3=6.5 people/s,
The evacuation passenger flow Q of first group of stair and Escalator1=t1×μ1=38 × 6.5=247 can similarly obtain Q2=230.
Calculate uplink, downlink each train leaves platform passenger flow：
It is obtained according to the video image information of the collected transferring passage of monitor camera and multiplied per 30s transferring passage all directions
Visitor passes through number；
Number and the ground obtained by AFC system equipment are passed through according to every 30s transferring passages all directions passenger
Enter the station data and outbound data at iron station, and it is 5 minutes to take time interval, and it is shared in bus's stream mode to estimate the various volumes of the flow of passengers
Ratio, as shown in table 5：
The 5 various volumes of the flow of passengers of table proportion in bus's stream mode
As shown in Table 5, the main source of large passenger flow is passenger flow of getting off at the station, and the passenger that gets off is gone out at the station
It stands.
Later, according to the main source of the large passenger flow identified, consider that the passenger's scatter time at stair and Escalator isAnd intensity of passenger flow change rate is larger, shown alert status adjustment matrix can be with according to fig. 3
It is III level by the preliminary large passenger flow level adjustment for being determined as IV grades, sends out large passenger flow pre-warning signal, later, targetedly adopt
It takes and dredges management and control measures, alleviate station large passenger flow situation.
After step 140, it is also necessary to be taken the passenger flow in subway station current limliting etc. should according to large passenger flow warning grade
To measure, specifically, when large passenger flow warning grade is more than the grade threshold of setting, according to large passenger flow source, flow direction and big
Passenger flow warning grade determines corresponding treatment measures；After corresponding treatment measures are implemented, repetition judges large passenger flow warning grade
Whether it is more than the grade threshold set, until large passenger flow warning grade is less than or equal to the grade threshold of setting.
Specifically, after corresponding treatment measures, that is, management and control measures are implemented, circulation step 120, step 130 and step
140 carry out corresponding index calculating.Index result of calculation is compared with each grade threshold formulated, if result of calculation is also in early warning
In section, then continue to issue warning signal, take corresponding management and control measures；If result of calculation is less than minimum early warning value, early warning
Terminate.
Compared with prior art, subway station large passenger flow identification method for early warning provided in an embodiment of the present invention will be retrievable
Passenger flow data is merged, in the base predicted using intensity of passenger flow and intensity of passenger flow change rate the development trend of large passenger flow
It on plinth, fully considers that the type of large passenger flow is identified in the passenger flow index with key position in station, overcomes at present only
Only using video monitoring and manual patrol as the modes of warning of main means, warning index is more comprehensive, early warning mechanism more science,
Dynamical feedback process can help subway station staff targetedly to take management and control measures, optimize management and control scheme in time, right
The risk that large passenger flow is brought is reduced, reduces the generation of accident and unnecessary loss, improves metro safety operation management ability
It is of great significance.
As shown in figure 4, the embodiment of the present invention provides a kind of subway station large passenger flow identification early warning system, which includes：
Area determination unit 410, for determining that the station layer and station hall layer need the area of detection zone, video camera to exist
Placement position in station；
Data capture unit 420, for being obtained according to the video image information of the collected different zones of monitor camera
The passenger flow information of different zones, different zones include station layer and station hall layer；
Data processing integrated unit 430, for the passenger flow information according to station layer in the unit interval and station hall layer, computer installation
Platform layer and the intensity of passenger flow of station hall layer and intensity of passenger flow change rate；
Monitoring and warning unit 440, for the intensity of passenger flow according to station layer and station hall layer and intensity of passenger flow change rate, prison
The trapezoidal channel and the video image information of transferring passage and obtained by AFC system equipment that control camera acquisition arrives
Subway station come in and go out volume of the flow of passengers information, determine large passenger flow source, flow direction and large passenger flow warning grade.
Subway station large passenger flow provided in an embodiment of the present invention identification early warning system further includes early warning feedback unit, for
When large passenger flow warning grade is more than the grade threshold of setting, determined according to large passenger flow source, flow direction and large passenger flow warning grade
Corresponding treatment measures；Also, repetition judges whether large passenger flow warning grade is more than the grade threshold set, until large passenger flow is pre-
Alert grade is less than or equal to the grade threshold of setting.
Early warning feedback unit can evaluate the effect of passenger flow management and control scheme having been carried out, convenient in time to the visitor of next step
Flow tube prosecutor case is improved.
As shown in figure 5, when carrying out subway station large passenger flow identification early warning, need to detect by area determination unit 410 first
The area in region, the placement position of video camera, then by data capture unit 420 according to the collected different zones of monitor camera
Video image information obtain different zones passenger flow information, later, data processing integrated unit 430 calculate obtain station layer and
The intensity of passenger flow of station hall layer and intensity of passenger flow change rate, monitoring and warning unit 440 determine large passenger flow source, flow direction and large passenger flow
Warning grade, early warning feedback unit 510 repeat to judge big after corresponding treatment measures are determined according to large passenger flow warning grade
Whether passenger flow warning grade is more than the grade threshold set, until large passenger flow warning grade is less than or equal to the grade threshold of setting,
Early warning EP (end of program) is identified at this time.
Subway station large passenger flow provided by the invention identifies early warning system, using intensity of passenger flow and intensity of passenger flow change rate with
And in station key position passenger flow data, source to large passenger flow, flow direction be identified, and warning index is more comprehensive, early warning
Mechanism more science.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (10)
1. a kind of subway station large passenger flow identifies method for early warning, which is characterized in that the method includes：
It determines station layer and station hall layer needs the area of detection zone and monitor camera interior placement position AT STATION；
The passenger flow that the different zones are obtained according to the video image information of the collected different zones of the monitor camera is believed
Breath, the different zones include the station layer and the station hall layer；
According to station layer described in the unit interval and the passenger flow information of the station hall layer, the station layer and the station hall layer are calculated
Intensity of passenger flow and intensity of passenger flow change rate；
It is collected according to the intensity of passenger flow and intensity of passenger flow change rate, monitor camera of the station layer and the station hall layer
It the video image information of trapezoidal channel and transferring passage and is come in and gone out visitor by the subway station that AFC system equipment obtains
Flow information determines large passenger flow source, flow direction and large passenger flow warning grade.
2. according to the method described in claim 1, it is characterized in that, the determining large passenger flow source, flow direction and large passenger flow are pre-
After alert grade, the method further includes：
When the large passenger flow warning grade is more than the grade threshold of setting, according to the large passenger flow source, flow direction and described
Large passenger flow warning grade determines corresponding treatment measures；
After corresponding treatment measures are implemented, repetition judges whether the large passenger flow warning grade is more than the grade threshold set
Value, until the large passenger flow warning grade is less than or equal to the grade threshold of the setting.
3. method according to claim 1 or 2, which is characterized in that the determining station layer and the station hall layer need to examine
The area in region is surveyed, including：
Determine that the station hall layer and the station layer need the area of detection zone according to the following formula：Ah=Sh-Nh, Ap=Sp-Np
Wherein, AhIt is area of the passenger in the region that subway concourse can reach, ShIt is the station hall layer gross area, NnBe passenger in subway concourse not
The area in accessibility region；ApIt is area of the passenger in the region that platform can reach, SpIt is the station layer gross area, NpIt is to multiply
Visitor is in the area in the not accessibility region of platform；
And/or the placement position for determining the monitor camera, including：
Each region that passenger in subway station can reach is divided；
Monitor camera is laid in each region that passenger can reach, each region for reaching all passengers
It is coated in the monitoring range of monitor camera；
In the inlet of the trapezoidal channel of uplink and downlink, monitor camera is set；
In the inlet of the transferring passage, monitor camera is set.
It is 4. according to the method described in claim 3, it is characterized in that, described according to the collected different zones of monitor camera
Video image information obtains the passenger flow information of the different zones, including：
Obtain the video image that the monitor camera is acquired every 30s；
By being handled with computer vision algorithms make the video image, the volume of the flow of passengers of each region is obtained；
By being handled with video pedestrian detection technology the video image of each trapezoidal channel, obtain each group of passenger and exist
The evacuation time of trapezoidal channel mouth.
5. according to the method described in claim 4, it is characterized in that, the determining large passenger flow source, flow direction and large passenger flow are pre-
Before alert grade, the method further includes：
Obtain the passenger flow data every each AFC system equipment of 30s；
According to the passenger flow data of each AFC system equipment calculate the subway station in unit interval into
Standee's flow and the outbound volume of the flow of passengers.
It is 6. according to the method described in claim 5, it is characterized in that, described according to station layer described in the unit interval and the station
The passenger flow information of Room layer, calculates the intensity of passenger flow of the station layer and the station hall layer and intensity of passenger flow change rate, including：
Passenger flow number was photographed based on each video camera, platform and the real-time intensity of passenger flow of platform are calculated according to the following formula：
Wherein, DnFor station hall layer intensity of passenger flow, PhnThe passenger flow number in the n-th region for station hall layer, AhIt is that passenger can arrive in subway concourse
The area in the region reached；DpFor station layer intensity of passenger flow, PpnThe passenger flow number in each region for station layer, ApIt is passenger in platform
The area in the region that can be reached；
It is inputted with the intensity of passenger flow of 30s time granularities, the average intensity of passenger flow in the 5min periods is calculated according to the following formula：
The intensity of passenger flow change rate of station layer and station hall layer is calculated according to the following formula：
Wherein, RhFor station hall layer intensity of passenger flow change rate,For rear 5min station hall layers passenger flow averag density,It stands for preceding 5min
Room layer passenger flow averag density, RpFor station layer intensity of passenger flow change rate,For rear 5min station layers passenger flow averag density,
For preceding 5min station layers passenger flow averag density.
7. according to the method described in claim 6, it is characterized in that, the determining large passenger flow source, flow direction and large passenger flow are pre-
Before alert grade, the method further includes：
Large passenger flow warning grade is divided into M grade, and the real-time of alert status is calculated according to the following formula according to intensity of passenger flow
Intensity of passenger flow：
Wherein, YiFor the real-time intensity of passenger flow threshold value of i-stage alert status, RiFor the passenger flow in the region under i-stage alert status
Delay ratio, ApFor personal occupied area, M is natural number, and i is natural number, 1≤i≤M.
8. the method according to the description of claim 7 is characterized in that the determining large passenger flow source, flow direction and large passenger flow are pre-
Alert grade, including：
The traffic capacity of each group of trapezoidal channel is calculated according to the following formula：
μn=C1×dn1+C2×dn2
Wherein, μnFor the traffic capacity of n-th group trapezoidal channel, C1The traffic capacity of stair for unit width, C2For unit width
Escalator the traffic capacity, dn1For the effective width of n-th group stair, dn2Effective width for n-th group Escalator；
The evacuation passenger flow of each group of trapezoidal channel is calculated according to the following formula：
Qn=tn×μn
Wherein, QnPassenger flow number, t are evacuated for n-th group trapezoidal channelnThe passenger flow evacuation of each trapezoidal channel after being reached for each train
Time, μnFor the traffic capacity of n-th group trapezoidal channel, tnIt is obtained according to the video image of the collected trapezoidal channel of monitor camera
It takes；
Uplink is calculated according to the following formula, downlink each train leaves the platform volume of the flow of passengers：
Wherein, the volume of the flow of passengers that Q is each uplink, down train arrives at a station, QIt is outboundFor the outbound volume of the flow of passengers of the train, QTransferIt is changed for the train
Ridership；
It is obtained according to the video image information of the collected transferring passage of monitor camera and led to per 30s transferring passage all directions passengers
Cross number；
Pass through number and the ground obtained by AFC system equipment per 30s transferring passage all directions passengers according to described
Enter the station data and outbound data at iron station, calculates the composition data of the various volumes of the flow of passengers in large passenger flow；
Platform visitor is left according to the composition data of the volumes of the flow of passengers various in the large passenger flow and the uplink, downlink each train
Flow determines large passenger flow source, flow direction and large passenger flow warning grade.
9. a kind of subway station large passenger flow identifies early warning system, which is characterized in that the system comprises：
Area determination unit, for determining that station layer and station hall layer need the area of detection zone, monitor camera interior AT STATION
Placement position；
Data capture unit, described in being obtained according to the video image information of the collected different zones of the monitor camera
The passenger flow information of different zones, the different zones include the station layer and the station hall layer；
Data processing integrated unit for the passenger flow information according to station layer described in the unit interval and the station hall layer, calculates
The station layer and the intensity of passenger flow of the station hall layer and intensity of passenger flow change rate；
Monitoring and warning unit, for the intensity of passenger flow according to the station layer and the station hall layer and intensity of passenger flow change rate,
It the video image information of the collected trapezoidal channel of monitor camera and transferring passage and is obtained by AFC system equipment
The subway station discrepancy volume of the flow of passengers information taken, determines large passenger flow source, flow direction and large passenger flow warning grade.
10. system according to claim 9, which is characterized in that the system also includes early warning feedback unit, in institute
It is pre- according to the large passenger flow source, flow direction and the large passenger flow when stating grade threshold of the large passenger flow warning grade more than setting
Alert grade determines corresponding treatment measures；
Repetition judges whether the large passenger flow warning grade is more than the grade threshold set, until the large passenger flow warning grade is small
In the grade threshold equal to the setting.
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