CN114554067A - Automatic detection system for congestion degree of subway carriage - Google Patents
Automatic detection system for congestion degree of subway carriage Download PDFInfo
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- CN114554067A CN114554067A CN202210311288.9A CN202210311288A CN114554067A CN 114554067 A CN114554067 A CN 114554067A CN 202210311288 A CN202210311288 A CN 202210311288A CN 114554067 A CN114554067 A CN 114554067A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The invention discloses an automatic detection system for the crowdedness of a subway carriage, which is characterized in that a carriage loading ground communication unit is adopted to connect a carriage image acquisition unit and a carriage load acquisition unit to form a vehicle-mounted end; the ground data processing unit is connected with a ground end consisting of the ground data receiving unit, the image analysis unit, the carriage congestion degree historical data analysis unit and the carriage congestion degree display unit, and the vehicle-mounted end is connected with the ground data receiving unit of the ground end through the vehicle-mounted ground communication unit in a wireless network manner, so that the automatic detection and display of the congestion degree of the subway carriages are realized. Compared with the prior art, the invention has the advantages that the congestion degree of the subway carriages is detected in real time, passengers at the platform are prompted to queue and wait outside the relatively empty carriages, the passenger flow of each carriage is promoted to be uniform, the riding experience of the passengers is improved to the greatest extent, and the transportation efficiency is improved.
Description
Technical Field
The invention relates to the technical field of intelligent video analysis, in particular to an automatic detection system for congestion degree of a subway carriage based on intelligent video analysis.
Background
The subway is one of main travel tools in daily life of people, and is different from a seat-based orderly riding mechanism adopted by transportation tools such as high-speed railways, trains and the like. The subway adopts an unordered riding mechanism, when the subway arrives at each station, passengers get on or off the subway through each shielding door at random, so that the condition of uneven passenger flow of carriages is easily caused, the passenger flow of some carriages is rare, and some carriages are very crowded, the transportation efficiency is reduced to a certain extent, and the riding experience of the passengers is influenced.
When waiting at a subway station, workers often maintain the order and guide passengers to wait in different areas, but because the crowdedness degree of each carriage cannot be known, the situation that the passengers waiting for getting on the train are at most outside the crowded carriages often occurs. If the crowdedness of each carriage can be known in real time, and timely prompts can be given to station workers and passengers, the passengers can be better guided to queue and wait outside the relatively empty carriages, the transportation efficiency is improved, and the riding experience of the passengers is improved.
In the intelligent rail transit in the prior art, no automatic detection display of the congestion degree of the subway carriages by utilizing intelligent video analysis and no public reports of related technical contents are found.
Disclosure of Invention
The invention aims to provide an automatic detection system for the congestion degree of a subway carriage, which is designed for overcoming the defects in the prior art, and adopts a video analysis technology to detect the congestion degree of the subway carriage in real time, prompt passengers at a platform to queue and wait outside relatively empty carriages, promote the uniformity of passenger flow of each carriage, improve the riding experience of the passengers to the maximum extent and improve the transportation efficiency.
The purpose of the invention is realized as follows: an automatic detection system for the crowdedness of a subway carriage is characterized in that a carriage loading ground communication unit is connected with a carriage loading end formed by a carriage image acquisition unit and a carriage load acquisition unit; the ground data processing unit is connected with a ground end consisting of the ground data receiving unit, the image analysis unit, the carriage congestion degree historical data analysis unit and the carriage congestion degree display unit, and the vehicle-mounted end is connected with the ground data receiving unit of the ground end through the vehicle-mounted ground communication unit in a wireless network manner, so that the automatic detection and display of the congestion degree of the subway carriages are realized.
The carriage image acquisition unit and the carriage load acquisition unit are arranged in each section of subway carriage to acquire carriage images and carriage load in real time.
And the vehicle-carrying ground communication unit sends the carriage image and the carriage load capacity which are acquired in real time to the ground data receiving unit.
The ground data receiving unit respectively inputs the carriage image and the carriage load capacity which are acquired in real time into the image analysis unit and the ground data processing unit for comprehensive analysis.
The image analysis unit analyzes the carriage images acquired in real time to obtain the real-time number of people in each carriage, and the real-time number of people is input into the ground data processing unit.
The train congestion degree historical data analysis unit analyzes the historical congestion degrees of the trains in the same time period, the same platform and the same direction, estimates the real-time congestion degree of the trains, and inputs the real-time congestion degree into the ground data processing unit.
The ground data processing unit integrates the carriage load capacity, the real-time number of people of each carriage analyzed by the image analysis unit and the real-time congestion degree of each carriage estimated by the carriage congestion degree historical data analysis unit, acquires the current actual congestion degree of each carriage, and accesses the current actual congestion degree into the carriage congestion degree display unit to perform visual real-time display, prompts passengers to reasonably arrange the carriages to be taken, and enables the passenger flow of each carriage to be uniform.
Compared with the prior art, the invention has the advantages that the congestion degree of the subway carriages is detected in real time, passengers at the platform are prompted to queue and wait outside the relatively empty carriages, the passenger flow of each carriage is promoted to be uniform, the riding experience of the passengers is improved to the greatest extent, and the transportation efficiency is improved.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the specific operation.
Detailed Description
Referring to fig. 1, the invention is a vehicle-mounted end of a carriage image acquisition unit 1 and a carriage load acquisition unit 2 connected by a vehicle-mounted ground communication unit 3
(ii) a The ground data receiving unit 4, the image analyzing unit 6, the car congestion degree history data analyzing unit 7 and the ground end of the car congestion degree display unit 8 which are connected with the ground data processing unit 5
Said vehicle-mounted terminal
Through vehicle-mounted ground communication unit 3 and ground end
And establishing communication connection of a wireless network, and realizing automatic detection and display of the congestion degree of the subway carriage. The carriage image acquisition unit 1 and the carriage load acquisition unit 2 are respectively connected with a vehicle-mounted vehicle-ground communication unit 3; the ground data receiving unit 4, the image analysis unit 6, the train congestion degree historical data analysis unit 7 and the train congestion degree display unit 8 are respectively connected with a ground data processing unit 5; the vehicle-carrying ground communication unit 3 is connected with the ground data receiving unit 4 through a wireless network, and the images and the carriage load data collected by the carriage image collecting unit 1 and the carriage load collecting unit 2 are input into the ground data processing unit 5.
The car image pickup unit 1 includes: the image processing server, the camera arranged at the top of the carriage and the image acquisition module arranged on the image processing server are used for acquiring real-time images in the carriage in real time and transmitting the acquired image information to the vehicle-mounted ground communication unit 3. The carriage load acquisition unit 2 comprises a sensor arranged at the bottom of the carriage and a real-time monitoring module arranged on a server, and is used for acquiring the real-time carriage load state from the sensor and transmitting the acquired real-time carriage load information to the vehicle-mounted vehicle-ground communication unit 3; the vehicle-carrying ground communication unit 3 comprises a real-time communication module and transmits the real-time image acquired by the carriage image acquisition unit 1 and the carriage load information acquired by the carriage load acquisition unit 2 to the ground data receiving unit 4; the ground data receiving unit 4 comprises a real-time communication module and transmits the real-time image and the carriage load information received from the vehicle-mounted vehicle-ground communication unit 3 to the ground data processing unit 5; the ground data processing unit 5 comprises a data comprehensive processing module arranged on an application server, and calculates the congestion degree information of the carriage in real time by integrating data of the ground data receiving unit 4, the image analysis unit 6 and the historical data analysis unit 7 of the congestion degree of the carriage, and transmits the congestion degree information to the display unit 8 of the congestion degree of the carriage; the image analysis unit 6 comprises an image analysis module deployed on the image server and is used for analyzing the images acquired by the carriage image acquisition unit 1 to obtain the number of real-time people in the carriage; the car congestion degree historical data analysis unit 7 comprises a congestion degree historical information analysis module deployed on the application server, and the module analyzes and conjectures the real-time congestion degree information of each car at the current time according to the congestion degree of each car at the same time period, the same platform and the same direction; the carriage congestion degree display unit 8 includes a congestion degree information management module and a display screen deployed on the application server, and is configured to display congestion degree information in real time.
The carriage image acquisition unit 1 and the carriage load acquisition unit 2 are arranged in each section of subway carriage to acquire carriage images and carriage load in real time. And the vehicle-carrying ground communication unit 3 sends the carriage image and the carriage load capacity which are acquired in real time to the ground data receiving unit 4. The ground data receiving unit 4 inputs the real-time collected carriage image and carriage load capacity into the image analysis unit 6 and the carriage congestion degree historical data analysis unit 7 respectively for analysis. The image analysis unit 6 analyzes the carriage images collected in real time to obtain the real-time number of people in each carriage, and inputs the real-time number of people into the ground data processing unit 5. The car congestion degree history data analysis unit 7 analyzes the congestion degrees of the cars in the same time period, the same platform, and the same direction, estimates the real-time congestion degree of each car, and inputs the estimated real-time congestion degree to the ground data processing unit 5. The ground data processing unit 5 integrates the carriage load capacity, the real-time number of people in each carriage analyzed by the image analysis unit 6 and the real-time congestion degree of each carriage estimated by the carriage congestion degree historical data analysis unit 7, acquires the current actual congestion degree of each carriage, and accesses the current actual congestion degree into the carriage congestion degree display unit 8 for real-time display, so as to prompt passengers to reasonably arrange the carriages to enable the passenger flow of each carriage to be uniform.
The present invention will be further described in detail by taking a subway running on a certain line as an example.
Example 1
Referring to fig. 2, the present invention is configured such that: the carriage image acquisition unit 1 and the carriage load acquisition unit 2 are arranged in each section of subway carriage, and are connected with the vehicle-mounted ground communication unit 3 one by one to form the vehicle-mounted end of the invention. The ground data receiving unit 4, the image analysis unit 6, the carriage crowding degree historical data analysis unit 7 and the carriage crowding degree display unit 8 which are connected with the ground data processing unit 5 are ground terminals of the invention, and the vehicle-mounted terminals establish wireless network communication connection with the ground terminals through the vehicle-mounted vehicle-ground communication unit 3, so that automatic detection and display of the subway carriage crowding degree are realized. The carriage image acquisition unit 1 is arranged in each carriage, acquires real-time images of the carriages, and transmits the real-time images to the image analysis unit 6 for analysis in real time through the vehicle carrying ground communication unit 3 and the ground data processing unit 5. The image analysis unit 6 analyzes the images acquired by the carriage image acquisition unit 1, acquires the number of people acquired by each camera in the carriage, and transmits the analysis result to the ground data processing unit 5. The carriage load acquisition unit 2 transmits the acquired real-time weight of the carriage to the ground data processing unit 5. The train-congestion-degree-history-data analyzing unit 7 analyzes the train-passing station-platform-history-congestion-degree data, estimates approximate congestion degree information of the current time, and transmits the estimated congestion degree information to the ground-data processing unit 5. The ground data processing unit 5 integrates the real-time image acquired by the carriage image acquisition unit 1, the carriage load acquired by the carriage load acquisition unit 2 and the congestion degree historical information analyzed by the carriage congestion degree historical data analysis unit 7, calculates the carriage congestion degree, and transmits the information to the carriage congestion degree display unit 8. The traffic jam degree display unit 8 performs visual display according to the traffic jam degree information received from the ground data processing unit 5, and represents the traffic jam of different degrees of congestion, moderate degree and loose degree with red, yellow and green, respectively.
The invention works as follows: the carriage image acquisition unit 1 comprises cameras arranged in each carriage, at least three cameras are arranged in each carriage for ensuring the image acquisition of the carriage to be complete, and the cameras can directly use the cameras of the original carriage under the condition of ensuring the full coverage of the carriage area. After a train enters a subway tunnel, communication between the train loading ground communication unit 1 and the ground data receiving unit 4 may be interrupted, and the carriage image acquisition unit 1 acquires image information of a camera once before leaving a station after the train closes a door according to vehicle operation information. The carriage load acquisition unit 2 acquires load data of front and rear frames of the train carriage once every 5 seconds in the subway running process, and the front and rear data are added to obtain the real-time load of the carriage. The vehicle-mounted vehicle-ground communication unit 3 receives the information of the images and the load data acquired by the carriage picture acquisition unit 1 and the carriage load acquisition unit 2, codes the information by combining the serial number of each carriage, and then sends the information to the ground data receiving unit 4 through a wireless network. The image analysis unit 6 analyzes the information of the number of people under each camera by using a computer vision technology and a deep learning technology according to the images acquired by the carriage image acquisition unit 1.
The data processing of the ground data processing unit 5 mainly comprises the following steps:
1) according to the number of the plurality of cameras in each carriage analyzed by the image analysis unit 1, the number of the repeated people generated in the overlapped irradiation areas among the cameras is removed, the actual number of the carriages is obtained, and the carriage crowding degree information is calculated according to the number of the people.
2) The real-time weight of the carriage is subtracted from the empty weight of the carriage to obtain the total weight of passengers on the vehicle, and the number of the passengers and the congestion degree information of the carriage are roughly calculated according to the total weight.
3) The degree-of-congestion information of the car estimated from the history information is acquired from the car congestion degree history data analysis unit 7.
The carriage congestion degree display unit 8 can directly display the congestion degree of carriages with different degrees such as congestion, moderate degree, loose degree and the like by red, yellow and green in the platform display screen, and can also be provided with LED indicator lamps with differentiation degree on the platform corresponding to each carriage; the indicator light with the distinguishing degree at least comprises three different colors to represent the crowdedness of the carriage with different degrees.
The above is only a preferred implementation of the present invention, and is not intended to limit the present invention in any way, so that any simple modification, equivalent change and modification made to the above implementation method according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall be included in the scope of the claims of the present patent for equivalent implementation of the present invention.
Claims (7)
1. A subway carriage crowding degree automatic detection system is characterized in that a carriage loading ground communication unit is connected with a carriage image acquisition unit and a vehicle loading end of a carriage loading acquisition unit; the ground data processing unit is connected with the ground data receiving unit, the image analysis unit, the carriage crowding degree historical data analysis unit and the ground end of the carriage crowding degree display unit, and the vehicle-mounted end is connected with the ground end through a vehicle-mounted vehicle-ground communication unit in a wireless network mode, so that automatic detection and display of the subway carriage crowding degree are achieved.
2. The automatic subway carriage congestion degree detection system according to claim 1, wherein said carriage image acquisition unit and carriage load acquisition unit are arranged in each section of subway carriage to acquire carriage image and carriage load in real time.
3. The automatic subway carriage congestion degree detection system according to claim 1, wherein said carriage ground communication unit sends carriage images and carriage load capacity collected in real time to a ground data receiving unit.
4. The automatic subway carriage congestion degree detection system as claimed in claim 1, wherein said ground data receiving unit inputs real-time collected carriage image and carriage load capacity into ground data processing unit and image analysis unit respectively for analysis.
5. The automatic detection system of the congestion degree of the subway carriages as claimed in claim 1, wherein said image analysis unit analyzes the carriage images collected in real time to obtain the real-time number of people in each carriage, and inputs the real-time number of people into the ground data processing unit.
6. The automatic subway car congestion degree detection system according to claim 1, wherein said car congestion degree history data analysis unit analyzes the congestion degree of each car in the same time period, the same platform and the same direction, estimates the real-time congestion degree of each car, and inputs the estimated real-time congestion degree to the ground data processing unit.
7. The automatic subway car congestion degree detection system as claimed in claim 1, wherein said ground data processing unit integrates the car load, the real-time number of people in each car analyzed by said image analysis unit, and the real-time congestion degree of each car estimated by said car congestion degree history data analysis unit, to obtain the current actual congestion degree of each car, and to connect it to said car congestion degree display unit for visual real-time display, to prompt passengers to arrange the cars reasonably, so that the passenger flow in each car is uniform.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210311288.9A CN114554067A (en) | 2022-03-28 | 2022-03-28 | Automatic detection system for congestion degree of subway carriage |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210311288.9A CN114554067A (en) | 2022-03-28 | 2022-03-28 | Automatic detection system for congestion degree of subway carriage |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100067459A (en) * | 2008-12-11 | 2010-06-21 | 한국철도기술연구원 | On-board guidance system of train |
| CN108515990A (en) * | 2018-03-29 | 2018-09-11 | 上海工程技术大学 | A kind of subway carriage carrying situation detection broadcasting system and method |
| CN110936988A (en) * | 2018-09-25 | 2020-03-31 | 武汉云象智能科技有限公司 | Automatic judgment and guide system for congestion degree of subway train carriage |
| CN111553314A (en) * | 2020-05-13 | 2020-08-18 | 合肥学院 | Urban rail transit passenger guidance system and guidance method |
| CN112347864A (en) * | 2020-10-21 | 2021-02-09 | 北京市地铁运营有限公司地铁运营技术研发中心 | Method, device, equipment and system for sensing and inducing rail transit passenger flow |
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- 2022-03-28 CN CN202210311288.9A patent/CN114554067A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100067459A (en) * | 2008-12-11 | 2010-06-21 | 한국철도기술연구원 | On-board guidance system of train |
| CN108515990A (en) * | 2018-03-29 | 2018-09-11 | 上海工程技术大学 | A kind of subway carriage carrying situation detection broadcasting system and method |
| CN110936988A (en) * | 2018-09-25 | 2020-03-31 | 武汉云象智能科技有限公司 | Automatic judgment and guide system for congestion degree of subway train carriage |
| CN111553314A (en) * | 2020-05-13 | 2020-08-18 | 合肥学院 | Urban rail transit passenger guidance system and guidance method |
| CN112347864A (en) * | 2020-10-21 | 2021-02-09 | 北京市地铁运营有限公司地铁运营技术研发中心 | Method, device, equipment and system for sensing and inducing rail transit passenger flow |
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