Pub Date : 2020-12-14DOI: 10.1109/jac-ecc51597.2020.9355935
M. Badawy, N. Ismail, Samir Alamrity
Electrical Impedance Tomography (EIT) is a novel industrial imaging technique that can be applied to visualize runtime changes of impedance entire along a pipeline to implement measurements of the industrial continuous processes of flow velocity profile distribution. In this paper, we propose a full three-dimensional (3D) pipeline sensing strategy which considers the 3D nature of the EIT sensing field. The proposed strategy includes a new 3D sensing system and an implementation of the fast forward solver using Finite Element Modelling (FEM). Also, in this paper, the implementation of a one-step Gauss-Newton solver reconstruction inverse solution algorithm is introduced. An application of auto/cross-correlation function for the reconstructed centered images obtained by the EIT system for the box moves from the upstream sensing section to the downstream sensing section on the surface of the pipeline is also introduced. According to the correlation test results of our proposal, the best fit of the correlation coefficient to images was distinguished with a higher correlation coefficient between 0.8687 and 0.9995.
{"title":"Implementation of Industrial Process Measurements Using Safe Tomography Techniques","authors":"M. Badawy, N. Ismail, Samir Alamrity","doi":"10.1109/jac-ecc51597.2020.9355935","DOIUrl":"https://doi.org/10.1109/jac-ecc51597.2020.9355935","url":null,"abstract":"Electrical Impedance Tomography (EIT) is a novel industrial imaging technique that can be applied to visualize runtime changes of impedance entire along a pipeline to implement measurements of the industrial continuous processes of flow velocity profile distribution. In this paper, we propose a full three-dimensional (3D) pipeline sensing strategy which considers the 3D nature of the EIT sensing field. The proposed strategy includes a new 3D sensing system and an implementation of the fast forward solver using Finite Element Modelling (FEM). Also, in this paper, the implementation of a one-step Gauss-Newton solver reconstruction inverse solution algorithm is introduced. An application of auto/cross-correlation function for the reconstructed centered images obtained by the EIT system for the box moves from the upstream sensing section to the downstream sensing section on the surface of the pipeline is also introduced. According to the correlation test results of our proposal, the best fit of the correlation coefficient to images was distinguished with a higher correlation coefficient between 0.8687 and 0.9995.","PeriodicalId":146890,"journal":{"name":"2020 8th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131558405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}