{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T06:34:30Z","timestamp":1747809270332,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Scientific Research and Industry Department of Jilin Province","award":["JJKH20210220KJ","61703056","20190103154JH"],"award-info":[{"award-number":["JJKH20210220KJ","61703056","20190103154JH"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["JJKH20210220KJ","61703056","20190103154JH"],"award-info":[{"award-number":["JJKH20210220KJ","61703056","20190103154JH"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jilin Province Science and Technology Development Plan Project","award":["JJKH20210220KJ","61703056","20190103154JH"],"award-info":[{"award-number":["JJKH20210220KJ","61703056","20190103154JH"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,10,11]]},"abstract":"<jats:p>The status monitoring of industrial process equipment is of great significance to its production energy efficiency and safety. A state monitoring system for complex surface structures based on the distributed FBG sensor network is proposed. The system adopts the FBG network and realizes the calculation of the stress field of the complex surface through the FBG layout design at different positions in the three-dimensional space. A 32-channel FBG sensor network is designed, and the light source, demodulation module, and processing system are selected and analyzed. On the basis of building the FBG sensor network, the stress field test was carried out on the industrial process equipment. For complex three-dimensional surface structures, an optical scanner is used for position offset calibration. Experiments show that when force is applied to the center point, the slope of the FBG at the best sensitive position is 0.715\u2009pm\/N; when force is applied on both sides, the maximum slope in the positive direction is 0.348\u2009pm\/N and the maximum slope in the negative direction is \u22120.381\u2009pm\/N. After data fusion correction is used, the average error of the three-dimensional position offset of the test data is 6.85%. It can be seen that the FBG network has the ability to monitor the state of complex surface structures in the industrial engineering equipment.<\/jats:p>","DOI":"10.1155\/2021\/5250778","type":"journal-article","created":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T01:19:33Z","timestamp":1634001573000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Research on Networking Algorithm of Distributed FBG Sensor Network"],"prefix":"10.1155","volume":"2021","author":[{"given":"Juan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Opto-Electronic Engineering, Changchun University of Science and Technology, Jilin 130022, China"},{"name":"Jilin Vocational College of Industry and Technology, Jilin 132000, China"}]},{"given":"Zhichao","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Opto-Electronic Engineering, Changchun University of Science and Technology, Jilin 130022, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4443-7226","authenticated-orcid":true,"given":"Jinhua","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Opto-Electronic Engineering, Changchun University of Science and Technology, Jilin 130022, China"}]},{"given":"Zhentao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132000, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2018.07.042"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2004.04.009"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3788\/col20080611.0818"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-03206-w"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.yofte.2017.10.005"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1117\/1.oe.53.5.057107"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1364\/oe.23.031484"},{"issue":"1","key":"8","first-page":"3377","article-title":"Granary temperature measurement network based on chirped FBG[J]","volume":"10","author":"Z. 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