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Industrial Tomography Platform for Diagnostics and Control of the Crystallization Process

cris.lastimport.scopus2024-09-18T01:31:16Z
dc.abstract.enPurpose: The aim of the article is an industrial system platform for diagnostics and control of the crystallization process with the use of tomographic technologies. Design/Methodology/Approach: Various methods are used to study crystallization processes. Here, the tomographic method has been applied. Findings: Tomography of industrial processes is a harmless, non-invasive imaging technique used in various industrial in-process technologies. It plays an important role in continuous data measurement for better understanding and monitoring of industrial processes, providing a fast and dynamic response that facilitates real-time process control, fault detection and system malfunctions. Practical Implications: Sensor networks with their feedback loops are fundamental elements of production control. A critical difference in the mass production of chemicals, metals, building materials, food and other commodities is that common process sensors provide only local measurements, e.g. temperature, pressure, fill level, flow rate or species concentration. However, in most production systems such local measurements are not representative of the entire process, so spatial solutions are required. Here the future belongs to distributed and image sensors. Originality/Value: The concept of a system based on industrial tomography represents a solution currently unavailable on the world market, in its assumptions and effects it has a legitimate character of innovation on a global scale. At the same time, it means the creation of a new, fundamentally different from those available on the market, universal product in the technological sphere. It is an innovative, efficient tool for diagnostics and process control
dc.affiliationTransportu i Informatyki
dc.contributor.authorKrzysztof Krol
dc.contributor.authorKonrad Niderla
dc.contributor.authorArtur Dmowski
dc.contributor.authorMarzena Cichorzewska
dc.date.accessioned2024-07-08T10:53:49Z
dc.date.available2024-07-08T10:53:49Z
dc.date.issued2021
dc.identifier.doi10.35808/ersj/2287
dc.identifier.issn1108-2976
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/398
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofEUROPEAN RESEARCH STUDIES JOURNAL
dc.rightsCC-BY-NC-ND
dc.subject.enElectrical capacitance tomography
dc.subject.enultrasound tomography
dc.subject.endiagnostic and control
dc.subject.ensensors
dc.subject.enprocess tomography
dc.subject.encrystallization process
dc.titleIndustrial Tomography Platform for Diagnostics and Control of the Crystallization Process
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issueSpecial Issue 2
oaire.citation.volumeXXIV