CN104899948B - A kind of closing space congestion monitoring method and system - Google Patents

A kind of closing space congestion monitoring method and system Download PDF

Info

Publication number
CN104899948B
CN104899948B CN201510303110.XA CN201510303110A CN104899948B CN 104899948 B CN104899948 B CN 104899948B CN 201510303110 A CN201510303110 A CN 201510303110A CN 104899948 B CN104899948 B CN 104899948B
Authority
CN
China
Prior art keywords
closing space
congestion
personnel amount
video
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510303110.XA
Other languages
Chinese (zh)
Other versions
CN104899948A (en
Inventor
纪鸿焘
潘益
张宁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to CN201510303110.XA priority Critical patent/CN104899948B/en
Publication of CN104899948A publication Critical patent/CN104899948A/en
Application granted granted Critical
Publication of CN104899948B publication Critical patent/CN104899948B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses a kind of closing space congestion monitoring method, congestion monitoring management server is applied to, the method includes:The live photo of each waiting area in obtaining each closing space in real time from video management server;The gathered data of all video count video cameras of each closing space of real-time statistics, is calculated the congestion index and congestion tendency prediction of each closing space;The request of client is received, to the corresponding congestion index of client each closing space of return current time, congestion tendency prediction, and each waiting area fact photo.The invention also discloses a kind of closing space congestion monitoring system.Congestion flow of the people can preferably be dredged in peak period using the present invention.

Description

A kind of closing space congestion monitoring method and system
Technical field
The present invention relates to traffic congestion monitoring technical field, more particularly to a kind of closing space congestion monitoring method and it is System.
Background technology
There are the passenger flow statisticses application scenarios based on video analysis in some school lunch services at present, but in these scenes In, passenger flow statisticses are only capable of showing the accounting of the number of having dinner and reception volume, and no congestion tendency analysis and live picture of queuing up are looked into Function is ask, user can not check the live picture of dining room queuing and inquiry dining room congestion tendency, be unable to be visually known meal When the queuing situation in the Room and decision are gone to and are had dinner.
The content of the invention
It is an object of the invention to provide a kind of closing space congestion monitoring method and system, can be in peak period preferably Dredge congestion flow of the people.
For achieving the above object, the invention provides a kind of closing space congestion monitoring method, it is applied to congestion prison Management server is surveyed, the method includes:Each waiting area in obtaining each closing space in real time from video management server Live photo;The gathered data of all video count video cameras of each closing space of real-time statistics, is calculated each closing empty Between congestion index and congestion tendency prediction;The request of client is received, each closing space of current time is returned to client Corresponding congestion index, congestion tendency prediction, and each waiting area fact photo.
For achieving the above object, present invention also offers a kind of closing space congestion monitoring system, including:Video meter Number video camera, is installed on the gateway of monitored closing space, for the turnover quantity of each gateway personnel of Real-time Collection;Monitoring Video camera, is installed on the queue area of monitored closing space, for the waiting area video recording for the monitored closing space;Depending on Frequency management server, for obtaining a photo from CCTV camera at predetermined time intervals, and preserves to the CCTV camera In the corresponding memory space of place closing space;Congestion monitoring management server, for being obtained in real time from video management server The live photo of each waiting area in each closing space;The all video count video cameras of each closing space of real-time statistics Gathered data, is calculated the congestion index and congestion tendency prediction of each closing space;The request of client is received, to client The corresponding congestion index of end each closing space of return current time, congestion tendency prediction, and each waiting area fact photo.
In sum, a kind of closing space congestion monitoring method provided in an embodiment of the present invention and system, real-time monitoring envelope Close space discrepancy flow of the people;Monitoring Data is calculated, the congestion and development trend of closing space is analyzed;Capture queuing picture simultaneously It is uploaded to congestion monitoring management server in real time;Inquiry opens mobile phone app or webpage client, checks that closing space congestion refers to Number and development trend;Inquiry selects the appropriate time to go to more unimpeded place.The present invention can fill up closing space congestion Fact monitoring and early warning system blank, for peak period dredge closing space congestion flow of the people provide a new approach with Method.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of embodiment of the present invention closing space congestion monitoring method.
Fig. 2 is the structural representation of specific embodiment of the invention closing space congestion monitoring system.
Fig. 3 is the schematic diagram of embodiment of the present invention congestion tendency prediction.
Specific embodiment
To make the objects, technical solutions and advantages of the present invention become more apparent, develop simultaneously embodiment referring to the drawings, right Scheme of the present invention is described in further detail.
The present invention carries out congestion monitoring to closing space, and wherein closing space can be the stream of peoples such as dining room, railway station, hospital Amount is big, it is necessary to the place dredged, closing space has and exports and entrance in the present invention, and flow of the people flows in real time.
Embodiment of the present invention closing space congestion monitoring method, is applied to congestion monitoring management server, and its flow is illustrated Figure is as shown in figure 1, comprise the following steps:
Step 11, obtain each closing space in real time from video management server in each waiting area live photo;
The live photo of waiting area can be the queue photo occurred in form of queuing up, as long as can truly represent envelope The photo for closing the flow of the people in space is suitable for the present invention.
The gathered data of all video count video cameras of each closing space of step 12, real-time statistics, is calculated each The congestion index and congestion tendency prediction of closing space;
Step 13, the request for receiving client, refer to the corresponding congestion of client each closing space of return current time Number, congestion tendency prediction, and each waiting area fact photo.
Specifically, the congestion index of each closing space is calculated, including:The all video counts of the closing space are taken the photograph The entrance personnel amount that camera is obtained is added and obtains closing space current time and enter personnel amount;The closing space is owned Personnel amount that what video count video camera was obtained leave is added and obtains closing space current time and leave personnel amount;By the envelope Closing space current time subtracts into personnel amount and leaves personnel amount and obtain closing space current time stranded crowd number;Thus Generate the volume of the flow of passengers data record each second, including the closing space current time into personnel amount, leave personnel amount And stranded crowd number.According to the closing space current time stranded crowd number a and the ratio of default closing space capacity V, worked as The congestion index at preceding moment.
The method for being calculated the congestion tendency prediction of each closing space includes:
If a1-a0>0, congestion monitoring management server judges that congestion tendency increases, according to formula T=(V-a1)/k1, its Middle k1=(a1-a0)/t, carries out congestion tendency prediction, obtains closing space number in T time and rises to full volume of the flow of passengers shape State.V represents the default capacity of the closing space, and k1 represents closing space current persons count's growth rate, and a1 represents that closing space is worked as Preceding stranded crowd number, a0 represents the time point closing space stranded crowd number before t time intervals.
If a1-a0<0, congestion monitoring management server judges that congestion tendency declines, according to formula T=(0-a1)/k1, its Middle k1=(a1-a0)/t, carries out congestion tendency prediction, obtains closing space number in T time and drops to without volume of the flow of passengers shape State.V represents the default capacity of the closing space, and k1 represents closing space current persons count's growth rate, and a1 represents that closing space is worked as Preceding stranded crowd number, a0 represents the time point closing space stranded crowd number before t time intervals.
In addition, when closing space is dining room, being ordered for convenience of customer, the method also includes:Receive Catering Management service The corresponding vegetable in each dining room and price that device synchronously comes, with the request according to client, return to client and choose dining room Vegetable and price.
Based on identical inventive concept, embodiment of the present invention closing space congestion monitoring system as shown in Fig. 2 including:
Video count video camera 201, is installed on the gateway of monitored closing space, for each gateway people of Real-time Collection The turnover quantity of member.
Monitoring video camera 202, is installed on the waiting area of monitored closing space, for being the monitored closing space Waiting area is recorded a video.It can be panorama monitoring video camera.
Video management server 203, for obtaining a photo from CCTV camera at predetermined time intervals, and preserves extremely In the corresponding memory space of closing space where the CCTV camera.
Congestion monitoring management server 204, for obtaining each closing space in real time from video management server in each The live photo of waiting area;The gathered data of all video count video cameras of each closing space of real-time statistics, is calculated The congestion index and congestion tendency prediction of each closing space;The request of client is received, it is each to return to current time to client The corresponding congestion index of individual closing space, congestion tendency prediction, and each waiting area fact photo.
Wherein, congestion monitoring management server 204 real-time statistics all video count video cameras of each closing space are adopted Collection data, are calculated the congestion index of each closing space, including:
The entrance personnel amount addition that all video count video cameras of the closing space are obtained obtains the closing space and works as The preceding moment enters personnel amount;The personnel amount addition of leaving that all video count video cameras of the closing space are obtained is somebody's turn to do Closing space current time leaves personnel amount;The closing space current time is subtracted into personnel amount and leaves personnel amount Obtain closing space current time stranded crowd number;According to the closing space current time stranded crowd number and default closing space The ratio of capacity, obtains the congestion index at current time.
The collection number of the real-time statistics all video count video cameras of each closing space of congestion monitoring management server 204 According to, the congestion tendency prediction of each closing space is calculated, including:
The entrance personnel amount addition that all video count video cameras of the closing space are obtained obtains the closing space and works as The preceding moment enters personnel amount;The personnel amount addition of leaving that all video count video cameras of the closing space are obtained is somebody's turn to do Closing space current time leaves personnel amount;The closing space current time is subtracted into personnel amount and leaves personnel amount Obtain closing space current time stranded crowd number;If current time, stranded crowd number a1 was compared to the moment before t time intervals Stranded crowd number a0 increases, then according to formula T=(V-a1)/k1, wherein k1=(a1-a0)/t, V represents that the closing space is default Capacity, obtains closing space number in T time and rises to full volume of the flow of passengers state;If current time stranded crowd number a1 compared to Moment stranded crowd number a0 before t time intervals is reduced, then according to formula T=(0-a1)/k1, wherein k1=(a1-a0)/t, V The default capacity of the closing space is represented, closing space number in T time is obtained and is dropped to without volume of the flow of passengers state.
Preferably, when closing space is dining room, the system of the invention also includes Catering Management server 205, for inciting somebody to action The corresponding vegetable in each dining room and price are synchronized to congestion monitoring management server, so that congestion monitoring management server is according to client The request at end, the vegetable and price for choosing dining room are returned to client.
In this way, client sends access request to congestion monitoring management server, request current time, each dining room was corresponding The live photo of congestion index, congestion tendency prediction and each region queuing, selects more unimpeded dining room to go in order to user Have dinner.
When there is third party's management platform, for example, Catering Management server is to each dining room of congestion monitoring management server sync Vegetable and during price, client is obtaining the corresponding congestion index in current time each dining room, congestion tendency prediction and each area Domain is queued up after live photo, can select one of dining room, checks the vegetable and price in the dining room, carries out online booking, Had dinner or pick-up to be gone in the ticket reserving time, more effectively reached and dredged the mesh of dining room congestion flow of the people in peak period 's.
Administration staff can directly log in congestion monitoring management server, obtain gathering around for each dining room current point in time Stifled index, congestion tendency prediction, and the live photo of each region queuing, to predict or find risk, take counter-measure, real Existing sequence management of repast.On the other hand, each dining room can be obtained to be contrasted with period flow of the people, or with the dining room different periods stream of people Amount contrast, with dynamic adjustment dining room Managed Solution, finally realizes orderly management of repast.
Concrete scene is set forth below to be described in detail.Wrapped as the dining room 1 of closing space in an embodiment of the present invention Include 2 entrances, 1 outlet.
Volume of the flow of passengers video count camera is installed in 2 entrances and 1 exit respectively, each camera Real-time Collection should The turnover quantity of mouth.
Congestion monitoring management server is in real time collected the turnover quantity of 3 cameras in dining room 1, obtains dining room 1 Entrance number, leave number, then obtain the stranded crowd number in dining room 1 by entering number and leaving the difference of number.
Assuming that the default capacity V in dining room 1 be 500 people, then dining room 1 when current stranded crowd number a1 is 250 people, congestion Index=a1/V=250 people/500 people=0.5.
With 1 minute for time interval calculates congestion tendency in the embodiment of the present invention, Fig. 3 is embodiment of the present invention congestion tendency The schematic diagram of prediction.Abscissa represents the time, and ordinate represents stranded crowd number.
The stranded crowd number a1 that must be arrived for 11 minutes in current point in time 11 point is 250 people, when time interval is 1 minute, the time The stranded crowd number a0 that point is obtained when being 11 is 220 people, it follows that congestion tendency is to increase, then substitutes into formula T=(V- A1)/k1, wherein k1=(a1-a0)/t, V=500 people, a0=220 people, a1=250 people t=1 minutes, obtain T=500 seconds, Illustrate, by 500 seconds, the dining room reached full volume of the flow of passengers state.
This explanation, current time is compared to the moment before in the present embodiment, and number is to increase, then pre- in congestion tendency During survey, system think after time in number be all to increase, therefore predict by how long dining room reaches flowing full amount State.
Closing space congestion monitoring method of the invention and system, can bring following benefit:
First, user can real-time query closing space congestion and queuing picture, be easy to employee to select in advance suitably Place, can save employee and hover the time for selecting destination and waiting in line to scene;
2nd, user can check the congestion tendency prediction result of each closing space, and optimal so as to master goal place is arrived Up to the time, so as to save the stand-by period and reduce closing space congestion level;
3rd, the congestion statistical data analysis of each closing space are provided for administration staff, is easy to administrative staff to grasp In the stranded crowd number and Long-term change trend situation of different periods, administration staff can targetedly formulate pipe to each controlled area Reason measure and dynamic adjustment dredging scheme, so as to improve the efficiency of management.
The above, only presently preferred embodiments of the present invention is not intended to limit the scope of the present invention.It is all Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements made etc. should be included in protection of the invention Within the scope of.

Claims (6)

1. a kind of closing space congestion monitoring method, is applied to congestion monitoring management server, and the method includes:
The live photo of each waiting area in obtaining each closing space in real time from video management server;
The gathered data of all video count video cameras of each closing space of real-time statistics, is calculated gathering around for each closing space Stifled index and congestion tendency prediction;
The request of client is received, to the corresponding congestion index of client each closing space of return current time, congestion tendency Prediction, and each waiting area fact photo;
Wherein, the congestion tendency prediction for being calculated each closing space, including:
The entrance personnel amount that all video count video cameras of the closing space are obtained be added obtain the closing space it is current when Quarter enters personnel amount;
By all video count video cameras of the closing space obtain leave personnel amount be added obtain the closing space it is current when Quarter leaves personnel amount;
The closing space current time is subtracted into personnel amount and is left personnel amount to obtain closing space current time stagnant Stay number;
If current time stranded crowd number a1 increases compared to the moment stranded crowd number a0 before t time intervals, according to formula T= (V-a1)/k1, wherein k1=(a1-a0)/t, k1 represent closing space current persons count's growth rate, and V represents that the closing space is pre- If capacity, obtain closing space number in T time and rise to full volume of the flow of passengers state;
If current time stranded crowd number a1 is reduced compared to the moment stranded crowd number a0 before t time intervals, according to formula T= (0-a1)/k1, wherein k1=(a1-a0)/t, k1 represent closing space current persons count's growth rate, obtain the closing space in T Number drops to without the volume of the flow of passengers state during time.
2. the method for claim 1, it is characterised in that the congestion index for being calculated each closing space, bag Include:
The entrance personnel amount that all video count video cameras of the closing space are obtained be added obtain the closing space it is current when Quarter enters personnel amount;
By all video count video cameras of the closing space obtain leave personnel amount be added obtain the closing space it is current when Quarter leaves personnel amount;
The closing space current time is subtracted into personnel amount and is left personnel amount to obtain closing space current time stagnant Stay number;
According to the closing space current time stranded crowd number and the ratio of default closing space capacity, gathering around for current time is obtained Stifled index.
3. the method for claim 1, it is characterised in that when the closing space is dining room, the method also includes:
The corresponding vegetable in each dining room that comes of Catering Management server sync and price are received, with the request according to client, to Client returns to the vegetable and price for choosing dining room.
4. a kind of closing space congestion monitoring system, including:
Video count video camera, is installed on the gateway of monitored closing space, for entering for each gateway personnel of Real-time Collection Go out quantity;
Monitoring video camera, is installed on the waiting area of monitored closing space, for the Accreditation Waiting Area for the monitored closing space Record a video in domain;
Video management server, for obtaining a photo from CCTV camera at predetermined time intervals, and preserves to the monitoring In the corresponding memory space of closing space where video camera;
Congestion monitoring management server, for obtaining each closing space in real time from video management server in each waiting area Live photo;The gathered data of all video count video cameras of each closing space of real-time statistics, is calculated each closing The congestion index and congestion tendency prediction in space;The request of client is received, it is empty to return to each closing of current time to client Between corresponding congestion index, congestion tendency prediction, and each waiting area fact photo;
Wherein, the collection number of all video count video cameras of each closing space of the congestion monitoring management server real-time statistics According to, the congestion tendency prediction of each closing space is calculated, including:
The entrance personnel amount that all video count video cameras of the closing space are obtained be added obtain the closing space it is current when Quarter enters personnel amount;
By all video count video cameras of the closing space obtain leave personnel amount be added obtain the closing space it is current when Quarter leaves personnel amount;
The closing space current time is subtracted into personnel amount and is left personnel amount to obtain closing space current time stagnant Stay number;
If current time stranded crowd number a1 increases compared to the moment stranded crowd number a0 before t time intervals, according to formula T= (V-a1)/k1, wherein k1=(a1-a0)/t, k1 represent closing space current persons count's growth rate, and V represents that the closing space is pre- If capacity, obtain closing space number in T time and rise to full volume of the flow of passengers state;
If current time stranded crowd number a1 is reduced compared to the moment stranded crowd number a0 before t time intervals, according to formula T= (0-a1)/k1, wherein k1=(a1-a0)/t, k1 represent closing space current persons count's growth rate, obtain the closing space in T Number drops to without the volume of the flow of passengers state during time.
5. system as claimed in claim 4, it is characterised in that the congestion monitoring management server real-time statistics each closings The gathered data of all video count video cameras in space, is calculated the congestion index of each closing space, including:
The entrance personnel amount that all video count video cameras of the closing space are obtained be added obtain the closing space it is current when Quarter enters personnel amount;
By all video count video cameras of the closing space obtain leave personnel amount be added obtain the closing space it is current when Quarter leaves personnel amount;
The closing space current time is subtracted into personnel amount and is left personnel amount to obtain closing space current time stagnant Stay number;
According to the closing space current time stranded crowd number and the ratio of default closing space capacity, gathering around for current time is obtained Stifled index.
6. system as claimed in claim 4, it is characterised in that when the closing space is dining room, the system also includes meal Drink management server, for the corresponding vegetable in each dining room and price to be synchronized into congestion monitoring management server, so that congestion is supervised Request of the management server according to client is surveyed, the vegetable and price for choosing dining room are returned to client.
CN201510303110.XA 2015-06-05 2015-06-05 A kind of closing space congestion monitoring method and system Active CN104899948B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510303110.XA CN104899948B (en) 2015-06-05 2015-06-05 A kind of closing space congestion monitoring method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510303110.XA CN104899948B (en) 2015-06-05 2015-06-05 A kind of closing space congestion monitoring method and system

Publications (2)

Publication Number Publication Date
CN104899948A CN104899948A (en) 2015-09-09
CN104899948B true CN104899948B (en) 2017-05-31

Family

ID=54032591

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510303110.XA Active CN104899948B (en) 2015-06-05 2015-06-05 A kind of closing space congestion monitoring method and system

Country Status (1)

Country Link
CN (1) CN104899948B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106095973B (en) * 2016-06-20 2019-05-21 东北大学 A kind of tourism route recommended method of combination short term traffic forecasting
CN108268357B (en) * 2016-12-30 2021-10-26 阿里巴巴集团控股有限公司 Real-time data processing method and device
CN109961166B (en) * 2017-12-26 2021-11-23 中国移动通信集团四川有限公司 Narrow space people stream change prediction method and device, computing equipment and storage medium
CN110231040B (en) * 2018-03-05 2022-11-08 北京京东乾石科技有限公司 Path planning method and device
CN109919066B (en) * 2019-02-27 2021-05-25 湖南信达通信息技术有限公司 Method and device for detecting density abnormality of passengers in rail transit carriage
CN110363567B (en) * 2019-05-31 2022-04-15 浙江口碑网络技术有限公司 Method, device and equipment for determining food production information
CN111814648A (en) * 2020-06-30 2020-10-23 北京百度网讯科技有限公司 Station port congestion situation determination method, device, equipment and storage medium
CN112601177B (en) * 2020-12-09 2023-01-10 北京红山信息科技研究院有限公司 Method, system, server and storage medium for guiding people flow in public area
CN113642389A (en) * 2021-07-06 2021-11-12 西安商汤智能科技有限公司 Dining guide method and system, electronic equipment and computer storage medium
CN113592183B (en) * 2021-08-05 2022-04-19 杭州企智互联科技有限公司 Dining peak prediction method and device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101587606B (en) * 2008-05-21 2012-05-30 上海新联纬讯科技发展有限公司 Method and system for detecting staff flow in exhibition venue
CN103581623A (en) * 2013-10-25 2014-02-12 江苏经贸职业技术学院 People flow monitor and data collection and analysis system
CN204288329U (en) * 2014-12-03 2015-04-22 绍兴文理学院 Demographics and inquiry system

Also Published As

Publication number Publication date
CN104899948A (en) 2015-09-09

Similar Documents

Publication Publication Date Title
CN104899948B (en) A kind of closing space congestion monitoring method and system
CN105681768B (en) A method of stream of people&#39;s real time monitoring is realized by communication data
CN109886096B (en) Wisdom tourism supervision and safe emergency management linkage command system
US8340260B1 (en) Inmate management and call processing systems and methods
US20210027402A1 (en) Systems and methods for real-time facility management
CN103400423B (en) Highway fee evasion auditing system and method based on Distributed Calculation
CN107944433A (en) Security protection monitors method and security protection monitoring system
CN103294712B (en) Hot spot area in real time commending system and method
US20120207356A1 (en) Targeted content acquisition using image analysis
CN102867341B (en) The KXG in parking lot
WO2011097449A2 (en) Method and system for an integrated intelligent building
CN109727175A (en) A kind of tourist attraction flow monitoring system for passenger
CN201294538Y (en) Scene-viewing system of webs
CN105893455B (en) Method and computer system for predicted position situation
CN104980707A (en) Intelligent video patrol system
CN107730963A (en) Parking ground control system
CN110300030A (en) Intelligent video operation management system
CN109977758A (en) A kind of face identification system and method based on cloud platform management
CN116614717B (en) Video monitoring method and system for intelligent community
CN112002094A (en) Cell personnel management method based on triangular positioning
CN111753743B (en) Face recognition method and system based on gatekeeper
CN107995017A (en) A kind of uplink bandwidth allocation method, apparatus and system
CN205451483U (en) Device is guided by bus in public transit
CN102651813A (en) Intelligent video monitoring and advertising system
WO2002073560A1 (en) Monitoring system and monitoring method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant