Intelligent sensor design in network based automatic control

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 transmissio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Donglin Wang, Chandana, Sandeep, Renlun He, Jiuqiang Han, Xiangyu Zhu, Ke Zou, Yong He
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6
container_issue
container_start_page 1
container_title
container_volume
creator Donglin Wang
Chandana, Sandeep
Renlun He
Jiuqiang Han
Xiangyu Zhu
Ke Zou
Yong He
description 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.
doi_str_mv 10.1109/IJCNN.2010.5596772
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5596772</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5596772</ieee_id><sourcerecordid>5596772</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-c964df67d7c0e0ac1ad40df6afea46e745dac2fdbd6fbe592deb3dd9347dbf213</originalsourceid><addsrcrecordid>eNo1kMtKAzEYheMNbGtfQDd5gam5TWLAjQxVR0rd6Lpk8v8p0WlGJhHx7S3Yrg7f-eAsDiHXnC04Z_a2fWnW64Vge65rq40RJ2TKlVBKW274KZkIrnmlFDNnZG7N3dFpfn500spLMs35gzEhrZUTct-mgn0ft5gKzZjyMFLAHLeJxkQTlp9h_KSdywjUfZdh50r01A-pjEN_RS6C6zPODzkj74_Lt-a5Wr0-tc3Dqorc1KXyVisI2oDxDJnz3IFi-8IFdEqjUTU4LwJ0oEOHtRWAnQSwUhnoguByRm7-dyMibr7GuHPj7-bwgvwDDnhO2g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Intelligent sensor design in network based automatic control</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Donglin Wang ; Chandana, Sandeep ; Renlun He ; Jiuqiang Han ; Xiangyu Zhu ; Ke Zou ; Yong He</creator><creatorcontrib>Donglin Wang ; Chandana, Sandeep ; Renlun He ; Jiuqiang Han ; Xiangyu Zhu ; Ke Zou ; Yong He</creatorcontrib><description>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.</description><identifier>ISSN: 2161-4393</identifier><identifier>ISBN: 9781424469161</identifier><identifier>ISBN: 1424469163</identifier><identifier>EISSN: 2161-4407</identifier><identifier>EISBN: 1424469171</identifier><identifier>EISBN: 9781424469178</identifier><identifier>EISBN: 142446918X</identifier><identifier>EISBN: 9781424469185</identifier><identifier>DOI: 10.1109/IJCNN.2010.5596772</identifier><language>eng</language><publisher>IEEE</publisher><subject>Frequency conversion ; Intelligent sensors ; Petroleum ; Sensor systems ; Wireless communication</subject><ispartof>The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5596772$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5596772$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Donglin Wang</creatorcontrib><creatorcontrib>Chandana, Sandeep</creatorcontrib><creatorcontrib>Renlun He</creatorcontrib><creatorcontrib>Jiuqiang Han</creatorcontrib><creatorcontrib>Xiangyu Zhu</creatorcontrib><creatorcontrib>Ke Zou</creatorcontrib><creatorcontrib>Yong He</creatorcontrib><title>Intelligent sensor design in network based automatic control</title><title>The 2010 International Joint Conference on Neural Networks (IJCNN)</title><addtitle>IJCNN</addtitle><description>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.</description><subject>Frequency conversion</subject><subject>Intelligent sensors</subject><subject>Petroleum</subject><subject>Sensor systems</subject><subject>Wireless communication</subject><issn>2161-4393</issn><issn>2161-4407</issn><isbn>9781424469161</isbn><isbn>1424469163</isbn><isbn>1424469171</isbn><isbn>9781424469178</isbn><isbn>142446918X</isbn><isbn>9781424469185</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtKAzEYheMNbGtfQDd5gam5TWLAjQxVR0rd6Lpk8v8p0WlGJhHx7S3Yrg7f-eAsDiHXnC04Z_a2fWnW64Vge65rq40RJ2TKlVBKW274KZkIrnmlFDNnZG7N3dFpfn500spLMs35gzEhrZUTct-mgn0ft5gKzZjyMFLAHLeJxkQTlp9h_KSdywjUfZdh50r01A-pjEN_RS6C6zPODzkj74_Lt-a5Wr0-tc3Dqorc1KXyVisI2oDxDJnz3IFi-8IFdEqjUTU4LwJ0oEOHtRWAnQSwUhnoguByRm7-dyMibr7GuHPj7-bwgvwDDnhO2g</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Donglin Wang</creator><creator>Chandana, Sandeep</creator><creator>Renlun He</creator><creator>Jiuqiang Han</creator><creator>Xiangyu Zhu</creator><creator>Ke Zou</creator><creator>Yong He</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201007</creationdate><title>Intelligent sensor design in network based automatic control</title><author>Donglin Wang ; Chandana, Sandeep ; Renlun He ; Jiuqiang Han ; Xiangyu Zhu ; Ke Zou ; Yong He</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c964df67d7c0e0ac1ad40df6afea46e745dac2fdbd6fbe592deb3dd9347dbf213</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Frequency conversion</topic><topic>Intelligent sensors</topic><topic>Petroleum</topic><topic>Sensor systems</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Donglin Wang</creatorcontrib><creatorcontrib>Chandana, Sandeep</creatorcontrib><creatorcontrib>Renlun He</creatorcontrib><creatorcontrib>Jiuqiang Han</creatorcontrib><creatorcontrib>Xiangyu Zhu</creatorcontrib><creatorcontrib>Ke Zou</creatorcontrib><creatorcontrib>Yong He</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Donglin Wang</au><au>Chandana, Sandeep</au><au>Renlun He</au><au>Jiuqiang Han</au><au>Xiangyu Zhu</au><au>Ke Zou</au><au>Yong He</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Intelligent sensor design in network based automatic control</atitle><btitle>The 2010 International Joint Conference on Neural Networks (IJCNN)</btitle><stitle>IJCNN</stitle><date>2010-07</date><risdate>2010</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2161-4393</issn><eissn>2161-4407</eissn><isbn>9781424469161</isbn><isbn>1424469163</isbn><eisbn>1424469171</eisbn><eisbn>9781424469178</eisbn><eisbn>142446918X</eisbn><eisbn>9781424469185</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/IJCNN.2010.5596772</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2161-4393
ispartof The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-6
issn 2161-4393
2161-4407
language eng
recordid cdi_ieee_primary_5596772
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Frequency conversion
Intelligent sensors
Petroleum
Sensor systems
Wireless communication
title Intelligent sensor design in network based automatic control
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T06%3A20%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Intelligent%20sensor%20design%20in%20network%20based%20automatic%20control&rft.btitle=The%202010%20International%20Joint%20Conference%20on%20Neural%20Networks%20(IJCNN)&rft.au=Donglin%20Wang&rft.date=2010-07&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.issn=2161-4393&rft.eissn=2161-4407&rft.isbn=9781424469161&rft.isbn_list=1424469163&rft_id=info:doi/10.1109/IJCNN.2010.5596772&rft_dat=%3Cieee_6IE%3E5596772%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424469171&rft.eisbn_list=9781424469178&rft.eisbn_list=142446918X&rft.eisbn_list=9781424469185&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5596772&rfr_iscdi=true