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Vol. 22, Special Issue, June 2013, pp. 104-110

 

Bullet

 

Monitoring LNG Vehicle with Multi-Sensors and a Revised Decision-Tree Algorithm
 
1, 2 Yuanhui CUI, 1 Zhen an TANG, 1 Jun YU

1 Department of Electronic Science and Technology, Dalian University of Technology, Ganjingzi Zone,116024, China

2 School of Information Engineering, Dalian Polytechnic University of Technology, Ganjingzi Zone,116034, China

Tel.: +86+411-86323707

E-mail: cuiyh@dlpu.edu.cn

 

Received: 15 April 2013   /Accepted: 20 June 2013   /Published: 28 June 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The safety status of LNG tank vehicle is monitored in real time by using a particular decision-tree algorithm. The Data acquisition system for the algorithm consists of 8 heterogeneous sensors installed on the LNG tank vehicle, which includes a gas sensor, a temperature and a humidity sensor, a pressure sensor, a liquid level sensor, an accelerometer, an angle sensor, and a door-switch sensor. Some data sets of different running modes of the tank vehicle were used to training the decision-tree, and the others were used to evaluate the status of the vehicle. A simulation system was also established to experimentally verify the accuracy of the algorithm and the results of the experiments show that the monitoring system is good enough for practice usage.

 

Keywords: Multi-sensors, Decision tree algorithm, LNG tank vehicle, Safety status.

 

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