DocumentCode :
2328368
Title :
A Framework of Truck Overload Intelligent Monitoring System
Author :
Hu, Tingdong
Author_Institution :
Shenzhen Kunyiziyuan Electron. Co. Ltd., Shenzhen, China
Volume :
2
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
107
Lastpage :
110
Abstract :
In this paper, we propose a systematic framework of truck overload intelligent monitoring system under the concept of internet of things (IOT) to solve the truck´s ever-increasing serious overload problem in China. First the overviews of general concept of IOT and its Chinese version, Sensing China, are introduced to provide the background information. Next, the serious truck overload problem in China is explained in details including data summary of casualties and monetary cost caused by overload. Then, to solve the problem, we design a framework of intelligent system which can monitor truck´s load information in real time. The proposed system includes the weight sensors installed in vehicles, wireless transformation device sending data to the GPS installed in driver´s cab, and remote control terminal to receive and process the information sent by the GPS. The suggested system provides an effective approach to prevent truck overload during the transportation.
Keywords :
Global Positioning System; Internet; computerised monitoring; data communication; driver information systems; real-time systems; road vehicles; sensors; telecontrol; weighing; Chinese truck overload problem; GPS; IOT; Internet of things; Sensing China; casualty data summary; driver cabin; monetary cost data summary; remote control terminal; transportation; truck overload intelligent monitoring system; weight sensors; wireless transformation device; Artificial intelligence; Internet; Monitoring; Roads; Sensors; Vehicles; Internet of things; intelligent monitoring system; truck overload problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.128
Filename :
6079748
Link To Document :
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