Steam-Powered Sensing: Extended Design and Evaluation. Zhang, C., Syed, A., Cho, Y. H., & Heidemann, J. Technical Report ISI-TR-2011-670, USC/Information Sciences Institute, February, 2011. ![Steam-Powered Sensing: Extended Design and Evaluation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Sensornets promise to extend automated monitoring and control into industrial processes. In spite of great progress made in sensornet design, \emphdeployment and operational cost impedes use of sensornet in many real-word scenarios—these challenges are so great that industries often continue with infrequent, manual observations over automation, even for key business processes. In this paper we propose two novel approaches to reduce system deployment cost, and test those approaches in a real-world monitoring of steam pipelines in oil industry. First, we make use \emphtemperature differences between the pipeline's surface and the atmosphere \emphreliable source of harvestable energy for sensornet operation. We demonstrate that for temperature differences of 80degC or more, batteryless operation is possible, and can significantly reduce costs of deployment and operation. Second, we show that \emphnon-invasive sensing can infer blockages in water and steam pipelines, and partial blockages in steam pipelines. Non-invasive sensing eliminates the need to pierce the pipeline, greatly reducing deployment cost. Finally, we evaluate our ``steam-powered sensing'' system in \emphan application monitoring blockage in steam pipeline chokes in a production oilfield. To our knowledge, this is the first industrial field sensornet deployment that employ non-solar energy harvesting. To broaden our results, we also show our approaches also apply to blockage detection in lower temperature water pipelines through laboratory experiments.
@TechReport{Zhang11b,
author = "Chengjie Zhang and Affan Syed and Young H. Cho and John Heidemann",
title = "Steam-Powered Sensing: Extended Design and Evaluation",
institution = "USC/Information Sciences Institute",
year = 2011,
sortdate = "2011-02-01",
project = "ilense, cisoft",
jsubject = "sensornet_fusion",
number = "ISI-TR-2011-670",
month = feb,
location = "johnh: pafile",
keywords = "steamflood optimization, energy harvesting,
non-invasive detection",
url = "http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.html",
pdfurl = "http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.pdf",
myorganization = "USC/Information Sciences Institute",
copyrightholder = "authors",
abstract = "Sensornets promise to extend automated monitoring and control into
industrial processes. In spite of great progress made in sensornet
design, \emph{deployment and operational cost} impedes use of sensornet in many
real-word scenarios---these challenges are so great that industries
often continue with infrequent, manual observations over automation,
even for key business processes. In this paper we propose two novel
approaches to reduce system deployment cost, and test those approaches
in a real-world monitoring of steam pipelines in oil industry. First,
we make use \emph{temperature differences} between the pipeline's surface and
the atmosphere \emph{reliable source of harvestable energy} for sensornet
operation. We demonstrate that for temperature differences of 80degC or
more, batteryless operation is possible, and can significantly reduce
costs of deployment and operation. Second, we show
that \emph{non-invasive sensing}
can infer blockages in water and steam pipelines, and partial
blockages in steam pipelines. Non-invasive sensing eliminates the need
to pierce the pipeline, greatly reducing deployment cost. Finally, we
evaluate our ``steam-powered sensing'' system in \emph{an application
monitoring blockage in steam pipeline chokes in a production oilfield}.
To our knowledge, this is the first industrial field sensornet
deployment that employ non-solar energy harvesting. To broaden our
results, we also show our approaches also apply to blockage detection in
lower temperature water pipelines through laboratory experiments.",
}
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H.","Heidemann, J."],"bibdata":{"bibtype":"techreport","type":"techreport","author":[{"firstnames":["Chengjie"],"propositions":[],"lastnames":["Zhang"],"suffixes":[]},{"firstnames":["Affan"],"propositions":[],"lastnames":["Syed"],"suffixes":[]},{"firstnames":["Young","H."],"propositions":[],"lastnames":["Cho"],"suffixes":[]},{"firstnames":["John"],"propositions":[],"lastnames":["Heidemann"],"suffixes":[]}],"title":"Steam-Powered Sensing: Extended Design and Evaluation","institution":"USC/Information Sciences Institute","year":"2011","sortdate":"2011-02-01","project":"ilense, cisoft","jsubject":"sensornet_fusion","number":"ISI-TR-2011-670","month":"February","location":"johnh: pafile","keywords":"steamflood optimization, energy harvesting, non-invasive detection","url":"http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.html","pdfurl":"http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.pdf","myorganization":"USC/Information Sciences Institute","copyrightholder":"authors","abstract":"Sensornets promise to extend automated monitoring and control into industrial processes. In spite of great progress made in sensornet design, \\emphdeployment and operational cost impedes use of sensornet in many real-word scenarios—these challenges are so great that industries often continue with infrequent, manual observations over automation, even for key business processes. In this paper we propose two novel approaches to reduce system deployment cost, and test those approaches in a real-world monitoring of steam pipelines in oil industry. First, we make use \\emphtemperature differences between the pipeline's surface and the atmosphere \\emphreliable source of harvestable energy for sensornet operation. We demonstrate that for temperature differences of 80degC or more, batteryless operation is possible, and can significantly reduce costs of deployment and operation. Second, we show that \\emphnon-invasive sensing can infer blockages in water and steam pipelines, and partial blockages in steam pipelines. Non-invasive sensing eliminates the need to pierce the pipeline, greatly reducing deployment cost. Finally, we evaluate our ``steam-powered sensing'' system in \\emphan application monitoring blockage in steam pipeline chokes in a production oilfield. To our knowledge, this is the first industrial field sensornet deployment that employ non-solar energy harvesting. To broaden our results, we also show our approaches also apply to blockage detection in lower temperature water pipelines through laboratory experiments.","bibtex":"@TechReport{Zhang11b,\n\tauthor = \t\"Chengjie Zhang and Affan Syed and Young H. Cho and John Heidemann\",\n\ttitle = \t\"Steam-Powered Sensing: Extended Design and Evaluation\",\n\tinstitution = \t\"USC/Information Sciences Institute\",\n\tyear = \t\t2011,\n\tsortdate = \"2011-02-01\",\n\tproject = \"ilense, cisoft\",\n\tjsubject = \"sensornet_fusion\",\n\tnumber =\t\"ISI-TR-2011-670\",\n\tmonth =\t\tfeb,\n\tlocation =\t\"johnh: pafile\",\n\tkeywords =\t\"steamflood optimization, energy harvesting,\n non-invasive detection\",\n\turl =\t\t\"http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.html\",\n\tpdfurl =\t\"http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tcopyrightholder = \"authors\",\n\tabstract = \"Sensornets promise to extend automated monitoring and control into\nindustrial processes. In spite of great progress made in sensornet\ndesign, \\emph{deployment and operational cost} impedes use of sensornet in many\nreal-word scenarios---these challenges are so great that industries\noften continue with infrequent, manual observations over automation,\neven for key business processes. In this paper we propose two novel\napproaches to reduce system deployment cost, and test those approaches\nin a real-world monitoring of steam pipelines in oil industry. First,\nwe make use \\emph{temperature differences} between the pipeline's surface and\nthe atmosphere \\emph{reliable source of harvestable energy} for sensornet\noperation. We demonstrate that for temperature differences of 80degC or\nmore, batteryless operation is possible, and can significantly reduce\ncosts of deployment and operation. Second, we show\nthat \\emph{non-invasive sensing}\ncan infer blockages in water and steam pipelines, and partial\nblockages in steam pipelines. Non-invasive sensing eliminates the need\nto pierce the pipeline, greatly reducing deployment cost. Finally, we\nevaluate our ``steam-powered sensing'' system in \\emph{an application\nmonitoring blockage in steam pipeline chokes in a production oilfield}.\nTo our knowledge, this is the first industrial field sensornet\ndeployment that employ non-solar energy harvesting. To broaden our\nresults, we also show our approaches also apply to blockage detection in\nlower temperature water pipelines through laboratory experiments.\",\n}\n\n","author_short":["Zhang, C.","Syed, A.","Cho, Y. H.","Heidemann, J."],"bibbaseid":"zhang-syed-cho-heidemann-steampoweredsensingextendeddesignandevaluation-2011","role":"author","urls":{"Paper":"http://www.isi.edu/%7ejohnh/PAPERS/Zhang11b.html"},"keyword":["steamflood optimization","energy harvesting","non-invasive detection"],"metadata":{"authorlinks":{}}},"bibtype":"techreport","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":["steamflood optimization","energy harvesting","non-invasive detection"],"search_terms":["steam","powered","sensing","extended","design","evaluation","zhang","syed","cho","heidemann"],"title":"Steam-Powered Sensing: Extended Design and Evaluation","year":2011}