Rail transit platform door and vehicle gap monitoring system based on image recognition

An image recognition, rail transit technology, applied in the field of rail transit platform door and vehicle clearance monitoring system, can solve problems such as false alarms, tight trains, monitoring failures, etc., and achieve the effect of large redundancy.

Inactive Publication Date: 2020-12-01
常州市东方浩友科技有限公司
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of urban rail transit, people's life and travel are increasingly inseparable from rail transit. Rail transit greatly facilitates people's life and travel. As such an important travel tool, the safety of rail transit has aroused widespread concern. Note that the gap between the platform of the station and the train often causes people and objects to be trapped. It is usually designed to install an infrared light curtain in the gap between the platform, but the infrared light curtain has many instabilities in the subway operating environment. Train vibration, lights, Dust, piston wind and other external factors will affect its normal monitoring function, prone to false alarms, causing problems such as train tightness or monitoring failure

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rail transit platform door and vehicle gap monitoring system based on image recognition
  • Rail transit platform door and vehicle gap monitoring system based on image recognition
  • Rail transit platform door and vehicle gap monitoring system based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Example 1: See figure 1 The present invention provides a technical solution: a system for monitoring the gap between platform doors and vehicles in rail transit based on image recognition, including connected visual monitoring equipment, an alarm terminal device in the vehicle control room, an operation terminal device at the head end of the platform, and a central server device, The visual monitoring equipment is a 24-way camera, and the visual monitoring equipment is distributed on the top cover plate at the back of each platform door unit and the track side of the platform end door. The visual monitoring equipment is used to collect monitoring pictures, and upload the collected pictures to the The equipment database of the central server; the central server is used to receive the monitoring picture data, and based on the image data within 0.5s before the monitoring picture data is extracted, it is used as a reference image source for obstacle comparison and judgment, ...

Embodiment 2

[0039] Example 2: See figure 2 , the above-mentioned system for monitoring the gap between rail transit platform doors and vehicles based on image recognition includes a top-mounted visual monitoring method and a side-mounted visual monitoring method, wherein the top-mounted visual monitoring method is to install the visual monitoring equipment on top of each sliding track. On the top of the door track side, the function of monitoring the single door unit is realized by comparing the front and rear of the door and intelligent identification. It is suitable for both curved stations and straight platforms, with one set for each sliding door.

[0040] A top-mounted visual monitoring method for a monitoring system, comprising the following steps:

[0041] S1: Establish a system connection architecture for the visual monitoring equipment on one side of the platform, the alarm terminal device in the vehicle control room, the operation terminal device at the head end of the platfor...

Embodiment 3

[0054] Example 3: See image 3 , the above-mentioned image recognition-based rail transit platform door and vehicle gap monitoring system includes a top-mounted visual monitoring method and a side-mounted visual monitoring method, wherein the side-mounted visual monitoring method is to side-mount the monitoring equipment on the platform end door track On the side, by monitoring the integrity of the lookout light belt at the rear end to determine whether there is an obstacle in the gap, it is used to monitor the entire side of the platform. It is suitable for gap detection of linear platforms, and one set is installed on each side.

[0055] The above-mentioned side-mounted visual monitoring method of a rail transit platform door and vehicle gap monitoring system based on image recognition comprises the following steps:

[0056] S1a: Establish a system connection architecture for the visual monitoring equipment on one side of the platform, the operating terminal device at the h...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of rail transit platform door edge safety monitoring and discloses a rail transit platform door and vehicle gap monitoring system based on image recognition. The system comprises visual monitoring devices, a vehicle control room alarm terminal device, a platform head end operation terminal device and a central server device which are connected. The visual monitoring devices are distributed on the back top sealing cover plate of each platform door unit and the track side of a platform end door, and the visual monitoring devices are used for collecting monitoring pictures and uploading the collected pictures to a device database of a central server; and the central server is used for receiving the monitoring picture data, extracting image data within 0.5-2sbefore the monitoring picture data is extracted to serve as an obstacle comparison judgment reference image source, and storing the reference image source into a reference image storage area. After atrain door and the platform door are closed, whether foreign matter exists in the gap between the train door and the platform door or not is recognized in a video detection mode, and the safety of riding passengers and driving is guaranteed.

Description

technical field [0001] The invention relates to the field of edge safety monitoring of rail transit platform doors, in particular to a monitoring system for gaps between rail transit platform doors and vehicles based on image recognition. Background technique [0002] With the rapid development of urban rail transit, people's life and travel are increasingly inseparable from rail transit. Rail transit greatly facilitates people's life and travel. As such an important travel tool, the safety of rail transit has aroused widespread concern. Note that the gap between the platform of the station and the train often causes people and objects to be trapped. It is usually designed to install an infrared light curtain in the gap between the platform, but the infrared light curtain has many instabilities in the subway operating environment. Train vibration, lights, External factors such as dust and piston wind will affect its normal monitoring function, and false alarms are prone to o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02G08B21/18H04L29/08B61B1/02G06K9/00G06K9/62G06Q10/00G06Q10/06G06Q50/26
CPCG08B21/02G08B21/18H04L67/12B61B1/02G06Q10/06311G06Q10/20G06Q50/26G06V20/52G06F18/22
Inventor 杜一鸣
Owner 常州市东方浩友科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap