DocumentCode :
2494708
Title :
Intelligent sensor design in network based automatic control
Author :
Wang, Donglin ; Chandana, Sandeep ; He, Renlun ; Han, Jiuqiang ; Zhu, Xiangyu ; Zou, Ke ; He, Yong
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Univ., Calgary, AB, Canada
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
Until recently, most oil pumping units (OPUs) have been using manual control in the oilfield. In this paper, network based automatic control is proposed for OPU management. This proposed network can sequentially realize automatic data sensing, automatic malfunction detection, remote data transmission, intelligent data organization and management, automatic malfunction warning, automatic stroke adjustment and state report via GSM short message service (SMS). Specifically, the proposed network based automatic control system contains four parts: 1) the first level sensors (FLS) for data sensing; 2) the developed intelligent sensors (ISs), which are the second level sensors, for data storage and elementary processing; 3) a communication protocol for data transmission; and 4) a software-based network center for data processing, data management, malfunction detection, remote stroke adjustment, GSM SMS and so on. In this paper, we focus on describing the IS design and reporting the elementary experiment results of the proposed system at the oil well HUACHI-38-122.
Keywords :
cellular radio; control engineering computing; control system synthesis; data communication; electronic messaging; fault location; intelligent sensors; petroleum industry; protocols; GSM short message service; automatic data sensing; automatic malfunction detection; automatic malfunction warning; automatic stroke adjustment; communication protocol; data storage; intelligent data management; intelligent data organization; intelligent sensor design; network based automatic control; network center; oil pumping units; oil well HUACHI-38-122; remote data transmission; Frequency conversion; Intelligent sensors; Petroleum; Sensor systems; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
ISSN :
1098-7576
Print_ISBN :
978-1-4244-6916-1
Type :
conf
DOI :
10.1109/IJCNN.2010.5596772
Filename :
5596772
Link To Document :
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