Study on LTE Data Transmission Quality Test of TSMD (Train Safety Monitoring Device)

Today, the rail traffic as a large capacity public transportation way gets rapid development in the world, in order to guarantee the trains safety, people use train network to monitor the trains real time status. But with the developing of safety requirement, the traditional MVB networks low transmission rate has been unable to meet the train safety monitorings large capacity data transmission requirement, so people put forward the idea of industrial Ethernet. Industrial Ethernet although can meet the requirement of large capacity, high rate transmission requirement, but still in the initial development stage, there has no unified transmission protocol and interface specification, so research on transmission standard of train safety monitoring network with great data transmission capacity has become the new development direction.

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Design of Tungsten Tailing Reservoir Safety Monitoring and Warning System Based on Wireless Sensor Networks and LabVIEW

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.1268 ◽

2013 ◽

Vol 427-429 ◽

pp. 1268-1271

Author(s):

Xue Wen He ◽

Ying Fei Sheng ◽

Kuan Gang Fan ◽

Le Ping Zheng ◽

Qing Mei Cao

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Transmission ◽

Communication Protocol ◽

Warning System ◽

Safety Monitoring ◽

Wireless Sensor ◽

Serial Port ◽

Rf Transceiver ◽

New Type

In view of the existing flaws of traditional manual observations, a new type of tailing reservoir safety monitoring and warning system based on ZigBee and LabVIEW was designed. The system chose SoC chip CC2530 as the RF transceiver and designed the low-power wireless sensor networks nodes to collect and process the data of tailing reservoir. It chose ZigBee 2007 as the network communication protocol, and uploaded the data to PC by RS232 serial port. The monitoring and warning interface of PC was completed with LabVIEW. The testing results show that the data transmission of the network is stable and the system is suitable for real-time monitoring and warning of the tungsten tailing reservoir.

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System architecture of a train sensor network for automatic train safety monitoring

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.04.038 ◽

2019 ◽

Vol 127 ◽

pp. 1183-1192 ◽

Cited By ~ 1

Author(s):

Guoqiang Cai ◽

Jiaqing Zhao ◽

Qiong Song ◽

Mengchu Zhou

Keyword(s):

Sensor Network ◽

System Architecture ◽

Safety Monitoring ◽

Train Safety

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Packet Transport Network Recovery System with Examination of Data Transmission Quality

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539320500072 ◽

2019 ◽

Vol 27 (03) ◽

pp. 2050007

Author(s):

Toshiaki Suzuki ◽

Hiroyuki Kubo ◽

Hayato Hoshihara ◽

Taro Ogawa

Keyword(s):

Data Transmission ◽

Transport Network ◽

Failure Pattern ◽

Protection Scheme ◽

Network Recovery ◽

Recovery System ◽

Transmission Quality ◽

Network Failures ◽

Plane Scheme ◽

Backup Paths

A packet transport network recovery system based on failure pattern under examination of transmission quality is proposed. Network failures are segmented into one of the three patterns: single failure of a node, failures of multiple nodes, and failures of multiple network areas. The single failure is recovered by a protection scheme. For failures of multiple nodes or multiple areas, recovery is performed by a node-based multiple-backup operation plane scheme or by an area-based multiple-back operation plane scheme, respectively. A unique recovery ID is assigned to each failure pattern and backup paths with the recovery ID are stored in each node. When network failures occur, the network management server determines the type of failure and sends the appropriate recovery ID to the nodes. Then recovery paths are configured. Our proposed system took about 0.5[Formula: see text]s to configure 1000 backup paths after failures were detected, compared to about 4[Formula: see text]s by a conventional scheme. For the examination of data transmission quality, multiple paths that do not share the same link are grouped and configured concurrently. The number of groups is regarded as the performance of the configuration. The performance of the proposed system is about three times faster than a configuration without grouping.

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Access Point Research in Rail Train Safety Monitoring Sensor Network

2012 Third International Conference on Digital Manufacturing & Automation ◽

10.1109/icdma.2012.38 ◽

2012 ◽

Cited By ~ 2

Author(s):

Peng Wenlong ◽

Li Zhiguo ◽

Pang Shaohuang ◽

Jia Limin ◽

Tian Yin ◽

...

Keyword(s):

Sensor Network ◽

Safety Monitoring ◽

Access Point ◽

Train Safety

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Study on Materials Selection and Construction of Digital Language Lab Based on Properties of Electronic Materials

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.738.299 ◽

2013 ◽

Vol 738 ◽

pp. 299-302

Author(s):

Qiang Yi Xi

Keyword(s):

Data Transmission ◽

Electronic Materials ◽

Network Protocol ◽

Language Training ◽

Materials Selection ◽

Transmission Quality ◽

Set Up ◽

Digital Language

Nowadays, the traditional analog language lab is being replaced by the digital language lab, in which the transfer of data between the network and the terminal is realized through the standard network protocol and the data transmission quality has met the requirements in language training. However, how to utilize present resources and set up standard digital language labs needs more researching. This paper mainly deals with the materials selection and the construction of the digital language lab based on properties of electronic materials, and thus provides reference to set up more efficient and more effective language labs.

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Metrorail Train Safety Monitoring Central Node Network Computing Environment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.455.431 ◽

2013 ◽

Vol 455 ◽

pp. 431-433

Author(s):

Hai Feng Hong ◽

Zhen Chen Chang ◽

Chen Hui Yang ◽

Xue Dong Wang

Keyword(s):

Working Condition ◽

Preventive Measures ◽

Safety Monitoring ◽

Network Computing ◽

Computing Environment ◽

Central Node ◽

Circulation Mechanism ◽

Node Network ◽

Diagnosis Accuracy ◽

Train Safety

Metrorailtrain safetyguarantee and accident preventive measures become more stringent as severity of collisions and derailments happens frequently. Aninnovative safety monitoring and early warning network technology is discussed. This computing environment named Centralnode is used in several Metrorail trains under working condition. It integrates trains real-time dataaccording to aspects of vehiclesinterconnection, function service models and characteristic, uniform storage structure, circulation mechanism, diagnosis fusion interface. It improves the vehicles fault diagnosis accuracy and effectiveness.

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