Automatic detecting and early warning method for track foreign matter invasion based on Internet of Things technology

An Internet of Things technology, a foreign object intrusion technology, is applied in the field of automatic detection and early warning of track foreign object intrusion based on the Internet of Things technology, which can solve the problems of large manual workload, many missed detection events, low reliability, etc. Meet real-time control and scheduling requirements, with minimal environmental interference

Active Publication Date: 2016-07-27
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0012] The first is to solve the defects of low efficiency, low reliability, lar

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  • Automatic detecting and early warning method for track foreign matter invasion based on Internet of Things technology
  • Automatic detecting and early warning method for track foreign matter invasion based on Internet of Things technology
  • Automatic detecting and early warning method for track foreign matter invasion based on Internet of Things technology

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Embodiment Construction

[0067] The following combination figure 1 In the case shown in, figure 2 The IoT diagram shown in and image 3 The implementation flow chart shown in further illustrates the present invention.

[0068] see figure 1 , figure 2 and image 3 , the case cited in the present invention is to use a rail foreign object intrusion automatic detection and early warning method based on Internet of Things technology to carry out automatic detection and early warning of foreign object intrusion in a section of the rail road network. The specific implementation steps are as follows:

[0069] A. Build road video monitoring system and vehicle video monitoring system;

[0070] A1. Set up pillars at regular distances beside the track, and install cameras 1, thermal imaging cameras 2, and wireless hotspot transceivers 3 on the pillars; install intelligent infrared night vision integrated pan-tilt cameras 7, data analysis centers 9, and wireless transceivers on the trains device 8;

[007...

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Abstract

The invention provides an automatic detecting and early warning method for track foreign matter invasion based on the Internet of Things technology. The method comprises the specific implementation step A of setting up a pavement video monitoring system and a vehicle-mounted video monitoring system; the step B of monitoring a road network in real time, transmitting video signals wirelessly and carrying out self-adaptive feedback; the step C of processing cloud data and vehicle-mounted data, detecting foreign matter invasion, recognizing the foreign matter invasion and giving an alarm; the step D of sharing full road network information, controlling driving when the foreign matter invades, and dispatching driving of the related road network.

Description

technical field [0001] The invention relates to the automatic detection and early warning of the intrusion of foreign matter on the track by using Internet of Things technology, video monitoring and image processing methods. Background technique [0002] In recent years, my country's railway construction process has developed rapidly. However, with the increase of railway mileage and the improvement of operating speed, railway safety has become an increasingly prominent problem. When the train is running at high speed, if it is crushed by foreign objects on the rails, it will affect the running of the train, and in extreme cases, it may cause a major accident. The intrusion of foreign objects on the track has always been an important hidden danger that threatens the safety of train operation. In a broad sense, the foreign bodies here include slowly variable objects (sand, snow, etc.), "low and slow" floating objects (kites, Kongming lanterns, balloons, etc.), sand and stone...

Claims

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Application Information

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IPC IPC(8): B61L23/04G06K9/00
CPCB61L23/041G06V20/56
Inventor 叶肖伟董传智刘坦
Owner ZHEJIANG UNIV
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