CN103112481A - Scheduling data optimizing method in passenger service information system - Google Patents
Scheduling data optimizing method in passenger service information system Download PDFInfo
- Publication number
- CN103112481A CN103112481A CN2013100148964A CN201310014896A CN103112481A CN 103112481 A CN103112481 A CN 103112481A CN 2013100148964 A CN2013100148964 A CN 2013100148964A CN 201310014896 A CN201310014896 A CN 201310014896A CN 103112481 A CN103112481 A CN 103112481A
- Authority
- CN
- China
- Prior art keywords
- scheduling data
- real
- dispatching
- information system
- train
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention discloses a scheduling data optimizing method in a passenger service information system. The method comprises that static scheduling data is acquired from a scheduling command system, the static scheduling data comprises a train operation basic pattern and a day shift plan; real-time scheduling data is acquired from the scheduling command system, the real-time scheduling data is optimized through a video analysis technology, the real-time scheduling data comprises a train operation stage plan and a train arrival and departure information; the static scheduling data and the optimized real-time scheduling data are combined and are sent to the passenger service information system. Based on the structure of an existing passenger service information system, the video analysis technology is combined, optimization of the train scheduling data is achieved, so that a passenger service integrated management platform can acquire the accurate and real-time scheduling data, and accordingly the characteristics of high speed, high density and large passenger flow of a railway passenger dedicated line can be better adapted to, and convenient, efficient and comfortable service is provided for passengers.
Description
Technical field
The present invention relates to the data dispatching processing technology field in the Tourist Information system, be specifically related to a kind of data dispatching optimization method based on Video Analysis Technology, so that the data of using in the Tourist Information system are more accurate.
Background technology
Dispatching and command system (TDMS) is to realize railway and transportation control at different levels to the central controlled modernization information system of train operation implementation, provides strong guarantee for guaranteeing traffic safety, raising scheduling level, the transparent commander of implementation.Its running number gathers and trace information, is used for the just late announcement of passenger train and inquiry service, is the basis of Tourist Information system real time service and guarantees.Yet existing Passenger Service System is mostly by MQ(Message Queue) message communicating and the application service (TDMS end) of passage send the data dispatchings such as parent map, day shift plan, periodic plan, train arrival ﹠ leaving information automatically to Passenger Service System.This will cause the data sharing between Tourist Information system and dispatching and command system inadequate, can restrict to a certain extent the quality of passenger's service, such as:
1, automatically do not issue data dispatching when dispatching and command system, can cause the Passenger Service System can't real-time update train arrival ﹠ leaving information;
2, when the network between dispatching and command system and Passenger Service System breaks down, Passenger Service System equally can't Real-time Obtaining train arrival ﹠ leaving information;
The accuracy of the data dispatching that 3, dispatch control information sends remains to be discussed.
The problem that the data dispatching that uses for Passenger Service System may exist, the present invention proposes a kind of data dispatching optimization method based on Video Analysis Technology, so that the data of using in the Tourist Information system are more accurate.
Summary of the invention
The technical matters that (one) will solve
Technical matters to be solved by this invention is to provide a kind of data dispatching optimization method based on Video Analysis Technology, the method can solve the problems such as the accuracy that is difficult to Real-time Obtaining data dispatching, data dispatching in existing Tourist Information system is inadequate, thereby make the Tourist Information system can obtain accurate, real-time data dispatching, as train just late situation etc. and the closely-related information of passenger, for the passenger provides convenience.
(2) technical scheme
The invention provides the data dispatching optimization method in a kind of Tourist Information system, comprise the following steps:
S1, obtain the static scheduling data from dispatching and command system, described static scheduling data comprise train operation parent map and day shift plan;
S2, obtain the Real-Time Scheduling data from dispatching and command system, by Video Analysis Technology, described Real-Time Scheduling data are optimized, described Real-Time Scheduling data comprise train operation periodic plan and train arrival ﹠ leaving information;
S3, with described static scheduling data and the Real-Time Scheduling data after optimizing in conjunction with after send to the Tourist Information system.
Preferably, described step S1 is specially:
The application service of exploitation dispatching and command system end, making itself and Tourist Information system carry out communication by message queue is connected, described dispatching and command system initiatively sends the static scheduling data by message queue to described Tourist Information system, simultaneously, described Tourist Information system sends request of data by message queue to described dispatching and command system, thereby obtains the static scheduling data.
Preferably, described step S2 is further comprising the steps:
S201, according to the situation of railway scene, utilize mixed Gauss model to carry out background modeling;
S202, determine the position of platform in video image take described platform as main viewing area, to detect the prospect change situation on its both sides track;
S203, according to the Real-Time Scheduling data of obtaining from dispatching and command system, in 10 minutes scopes, use the background subtraction separating method to extract foreground image before and after it;
S204, when the foreground moving object being detected, judge whether it is train, if train to the Tourist Information system, if not train, returns to corresponding Real-Time Scheduling data distributing to step S203.
Preferably, in described step S201, after two hours or camera carry out The Cloud Terrace, Focussing, re-start background modeling.
Preferably, in described step S202, use the Canny operator to detect the position of platform, thereby determine that foreground detection is regional.
Preferably, described in step S203, the background subtraction separating method is specially:
Suppose that background remains unchanged, record background image I
bgIf, current frame image I
tIn certain pixel value I
tCorresponding pixel I in (x, y) and the background image of preserving
bgThe color value of (x, y) is different, thinks that this pixel position (x, y) is prospect.
(3) beneficial effect
The present invention is fully based on existing Tourist Information system of systems framework, merge Video Analysis Technology and realized the optimization of train dispatch data, make the passenger serve Integrated Management Platform and can obtain more accurate, more real-time data dispatching, thereby adapt to better that special line for passenger trains is high-speed, the characteristics of high density, large passenger flow, for the passenger provides convenient, efficient, comfortable service.
Description of drawings
Fig. 1 is the diagram of circuit of the inventive method;
Fig. 2 is principle schematic of the present invention, the direction of transfer of the direction indication information of arrow in figure;
Fig. 3 is the algorithm flow chart of Tourist Information system acquisition dynamic dispatching data.
The specific embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for explanation the present invention, but are not used for limiting the scope of the invention.
Fig. 1 is the diagram of circuit of the inventive method, the invention provides the data dispatching optimization method in a kind of Tourist Information system, comprises the following steps:
S1, obtain the static scheduling data from dispatching and command system, described static scheduling data comprise train operation parent map and day shift plan;
S2, obtain the Real-Time Scheduling data from dispatching and command system, by Video Analysis Technology, described Real-Time Scheduling data are optimized, described Real-Time Scheduling data comprise train operation periodic plan and train arrival ﹠ leaving information;
S3, with described static scheduling data and the Real-Time Scheduling data after optimizing in conjunction with after send to the Tourist Information system.
Preferably, described step S1 is specially:
The application service of exploitation dispatching and command system end, making itself and Tourist Information system carry out communication by message queue is connected, described dispatching and command system initiatively sends the static scheduling data by message queue to described Tourist Information system, perhaps, described Tourist Information system sends request of data by message queue to described dispatching and command system, thereby obtains the static scheduling data.
Preferably, described step S2 is further comprising the steps:
S201, according to the situation of railway scene, utilize mixed Gauss model to carry out background modeling;
S202, determine the position of platform in video image take described platform as main viewing area, to detect the prospect change situation on its both sides track;
S203, according to the Real-Time Scheduling data of obtaining from dispatching and command system, in 10 minutes scopes, use the background subtraction separating method to extract foreground image before and after it;
S204, when the foreground moving object being detected, judge whether it is train, if train to the Tourist Information system, if not train, returns to corresponding Real-Time Scheduling data distributing to step S203.
Preferably, in described step S201, after two hours or camera carry out The Cloud Terrace, Focussing, re-start background modeling.
Preferably, in described step S202, use the Canny operator to detect the position of platform, thereby determine that foreground detection is regional.
Preferably, described in step S203, the background subtraction separating method is specially:
Suppose that background remains unchanged, record background image I
bgIf, current frame image I
tIn certain pixel value I
tCorresponding pixel I in (x, y) and the background image of preserving
bgThe color value of (x, y) is different, thinks that this pixel position (x, y) is prospect.
The below sets forth the present invention with the specific embodiment:
As shown in Figure 2, the data dispatching optimization method of this Tourist Information system merges realization by dispatching and command system mutually with field real-time acquisition.Passenger Service System is take the automatic collection of schedule information as the basis, think that it is target that the passenger provides the full spectrum information service, realize the functions such as passenger station's information Auto broadcast, guiding, announcement, monitoring, and provide internet, call center, wireless office and the multiple information service of advancing by leaps and bounds such as communicate by letter, use the diversified means of services to provide quality services for the passenger, realize the informationization that the passenger serves.Can find out, the accuracy of data dispatching is the basis that ensures the good operation of Tourist Information system, and the schedule information of access comprises " static datas " such as parent map, day shift plans, " real time datas " such as periodic plan, train arrival ﹠ leavings.At first the inventive method utilizes the MQ message queue, " static datas " such as the parent map that the automatic acquisition dispatching and command system sends, day shift plans, subsequently based on Video Analysis Technology, pass through foreground detection, determined whether that train enters this platform, to obtain " real time datas " such as periodic plan, train arrival ﹠ leavings.The data dispatching that generates after above-mentioned two kinds of methods are merged sends to passenger's Integrated Management Platform automatically, thereby make that this platform can adapt to that special line for passenger trains is high-speed, the characteristics of high density, large passenger flow, can be in real time, provide convenient, colleges and universities, comfortable service for the passenger exactly.
Based on Video Analysis Technology obtain the scheduling dynamic data algorithm flow chart as shown in Figure 3.At first the present invention utilizes the improved mixed Gauss model of proposition to carry out background modeling, automatically choose subsequently the Primary Location that gate position is determined foreground detection, then utilize the background subtraction point-score to carry out motion detection, use at last based on the track algorithm of Kalman filter and realize invading the tracking of train.Be specially, at first propose a kind of method that improved mixed Gauss model carries out background modeling, according to the extraordinary circumstances of railway, gauss hybrid models has been carried out modification targetedly, make model after improvement more be adapted to application under the railway scene.Every 2 hours or the The Cloud Terrace of camera and focal length etc. are adjusted after, in time carry out background modeling.Utilize subsequently the canny operator to detect platform regional, thereby determine that tentatively foreground detection is regional, can avoid well occurring flase drop and measure the situations such as path car.Then utilize the background subtraction point-score to realize motion detection.The background subtraction point-score is exactly under the condition that the hypothesis background remains unchanged, and records background image I
bgIf, current frame image I
tIn certain pixel value I
t(x, y) and the corresponding pixel I of background image that preserves
bgThe color value of (x, y) is different, thinks that this pixel position (x, y) is prospect.The inventive method is according to two real time datas of periodic plan, train arrival ﹠ leaving of obtaining from TDMS, with its error scope of 10 minutes in carry out the background difference with the extraction prospect, thereby greatly reduced operand.When the foreground moving object being detected, take a decision as to whether train, and will be corresponding in real time to sending out data distributing to the Tourist Information system.
The above is only the preferred embodiment of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the technology of the present invention principle; can also make some improvement and replacement, these improvement and replacement also should be considered as protection scope of the present invention.
Claims (6)
1. the data dispatching optimization method in a Tourist Information system, is characterized in that, comprises the following steps:
S1, obtain the static scheduling data from dispatching and command system, described static scheduling data comprise train operation parent map and day shift plan;
S2, obtain the Real-Time Scheduling data from dispatching and command system, by Video Analysis Technology, described Real-Time Scheduling data are optimized, described Real-Time Scheduling data comprise train operation periodic plan and train arrival ﹠ leaving information;
S3, with described static scheduling data and the Real-Time Scheduling data after optimizing in conjunction with after send to the Tourist Information system.
2. the method for claim 1, is characterized in that, described step S1 is specially:
The application service of exploitation dispatching and command system end, making itself and Tourist Information system carry out communication by message queue is connected, described dispatching and command system initiatively sends the static scheduling data by message queue to described Tourist Information system, simultaneously, described Tourist Information system sends request of data by message queue to described dispatching and command system, thereby obtains the static scheduling data.
3. the method for claim 1, is characterized in that, described step S2 is further comprising the steps:
S201, according to the situation of railway scene, utilize mixed Gauss model to carry out background modeling;
S202, determine the position of platform in video image take described platform as main viewing area, to detect the prospect change situation on its both sides track;
S203, according to the Real-Time Scheduling data of obtaining from dispatching and command system, in 10 minutes scopes, use the background subtraction separating method to extract foreground image before and after it;
S204, when the foreground moving object being detected, judge whether it is train, if train to the Tourist Information system, if not train, returns to corresponding Real-Time Scheduling data distributing to step S203.
4. method as claimed in claim 3, is characterized in that, in described step S201, after two hours or camera carry out The Cloud Terrace, Focussing, re-starts background modeling.
5. method as claimed in claim 3, is characterized in that, in described step S202, uses the Canny operator to detect the position of platform, thereby determine that foreground detection is regional.
6. method as claimed in claim 3, is characterized in that, the separating method of background subtraction described in step S203 is specially:
Suppose that background remains unchanged, record background image I
bgIf, current frame image I
tIn certain pixel value I
tCorresponding pixel I in (x, y) and the background image of preserving
bgThe color value of (x, y) is different, thinks that this pixel position (x, y) is prospect.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310014896.4A CN103112481B (en) | 2013-01-15 | 2013-01-15 | Data dispatching optimization method in Passenger Service Information System |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310014896.4A CN103112481B (en) | 2013-01-15 | 2013-01-15 | Data dispatching optimization method in Passenger Service Information System |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103112481A true CN103112481A (en) | 2013-05-22 |
| CN103112481B CN103112481B (en) | 2015-08-12 |
Family
ID=48410885
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310014896.4A Active CN103112481B (en) | 2013-01-15 | 2013-01-15 | Data dispatching optimization method in Passenger Service Information System |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103112481B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413361A (en) * | 2013-08-19 | 2013-11-27 | 合肥飞友网络科技有限公司 | Method and system for generating flight records of passengers |
| CN113371038A (en) * | 2021-05-14 | 2021-09-10 | 中国铁道科学研究院集团有限公司 | Tramcar management method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002157618A (en) * | 2000-11-21 | 2002-05-31 | Mitsubishi Electric Corp | Ticket with call function, and call service system in station |
| CN101320427A (en) * | 2008-07-01 | 2008-12-10 | 北京中星微电子有限公司 | Video monitoring method and system with auxiliary objective monitoring function |
| CN102184471A (en) * | 2011-04-26 | 2011-09-14 | 铁道部运输局 | Integrated management platform and passenger service system |
| CN102281431A (en) * | 2011-06-07 | 2011-12-14 | 北京引创科技有限责任公司 | Interactive intelligent video analysis and emergency command dispatching system |
| CN102307268A (en) * | 2011-04-20 | 2012-01-04 | 铁道部运输局 | Voice scheduling system of passenger service systems among railway stations, and integrated management platform |
| CN102745213A (en) * | 2012-06-27 | 2012-10-24 | 李志恒 | High speed railway train scheduling system capable of prompting front road condition and method thereof |
-
2013
- 2013-01-15 CN CN201310014896.4A patent/CN103112481B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002157618A (en) * | 2000-11-21 | 2002-05-31 | Mitsubishi Electric Corp | Ticket with call function, and call service system in station |
| CN101320427A (en) * | 2008-07-01 | 2008-12-10 | 北京中星微电子有限公司 | Video monitoring method and system with auxiliary objective monitoring function |
| CN102307268A (en) * | 2011-04-20 | 2012-01-04 | 铁道部运输局 | Voice scheduling system of passenger service systems among railway stations, and integrated management platform |
| CN102184471A (en) * | 2011-04-26 | 2011-09-14 | 铁道部运输局 | Integrated management platform and passenger service system |
| CN102281431A (en) * | 2011-06-07 | 2011-12-14 | 北京引创科技有限责任公司 | Interactive intelligent video analysis and emergency command dispatching system |
| CN102745213A (en) * | 2012-06-27 | 2012-10-24 | 李志恒 | High speed railway train scheduling system capable of prompting front road condition and method thereof |
Non-Patent Citations (3)
| Title |
|---|
| 习可: "基于智能视频技术的铁路入侵检测", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 左美琳，董宝田: "客运专线旅客服务信息系统的设计", 《铁路计算机应用》 * |
| 葛大伟: "基于视频内容分析的铁路入侵检测研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413361A (en) * | 2013-08-19 | 2013-11-27 | 合肥飞友网络科技有限公司 | Method and system for generating flight records of passengers |
| CN103413361B (en) * | 2013-08-19 | 2015-12-02 | 合肥飞友网络科技有限公司 | Flyer record generates method and system |
| CN113371038A (en) * | 2021-05-14 | 2021-09-10 | 中国铁道科学研究院集团有限公司 | Tramcar management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103112481B (en) | 2015-08-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109285376A (en) | A kind of bus passenger flow statistical analysis system based on deep learning | |
| US20190124619A1 (en) | Passenger load prediction systems and methods for predicting passenger load | |
| CN102750821B (en) | Dispatching system for buses | |
| CN104002836B (en) | A kind of traffic location information obtains the method and device of display in real time | |
| CN204557612U (en) | A kind of bus passenger flow statistical system based on machine vision | |
| CN108819991A (en) | The detection device and its operation method of subway platform passenger flow and passenger capacity saturation degree | |
| CN104243900A (en) | Vehicle arrival time prediction system and method | |
| CN105513342A (en) | Video-tracking-based vehicle queuing length calculating method | |
| CN104809905A (en) | Bus arrival information customization pushing system and method based on mobile terminal | |
| US10157509B2 (en) | System for public transit incident rate analysis and display | |
| CN105427582A (en) | Intelligent management method for bus lines | |
| CN106023582A (en) | BRT passenger traveling information acquisition and guiding scheme publishing system and method | |
| CN103810844A (en) | Method, device and system for actively scheduling buses | |
| CN109816183B (en) | Method and device for optimizing large data of accurate bus passenger flow | |
| US20230365174A1 (en) | Automatic train tracking method and automatic train tracking system | |
| CN103112481B (en) | Data dispatching optimization method in Passenger Service Information System | |
| CN105513432B (en) | Flight Information processing method and system for scheduling of refueling | |
| CN105118324A (en) | Bus electronic stop board and information display method thereof | |
| CN111079525A (en) | Image processing method, apparatus, system and storage medium | |
| CN107563651B (en) | Big data-based passenger flow analysis method for public transportation system | |
| CN203204851U (en) | Parking lot vehicle tracking/positioning management system based on geomagnetism | |
| CN109561409A (en) | A kind of control system for pilotless automobile | |
| CN103606280B (en) | A kind of information identifying method, device and system | |
| CN104916140A (en) | Bus lane occupation snapshotting device | |
| CN105635665B (en) | Monitoring system, data transmission method and data transmission device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |