OPTIMIZING SPECIALTY CHEMICAL PRODUCTION WITH THE IIOT.
Title: | OPTIMIZING SPECIALTY CHEMICAL PRODUCTION WITH THE IIOT. |
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Authors: | McEleney, Tom1, Bristow, Paul2 |
Source: | Processing (08968659). Nov2023, Vol. 36 Issue 11, p14-16. 3p. 4 Color Photographs. |
Subject Terms: | *Chemical plants, *Data security, Specialty chemicals, Edge computing, Internet of things, Phytochemicals |
Abstract: | The article discusses the use of the Industrial Internet of Things (IIoT) in specialty chemical plants. The IIoT utilizes interconnected sensors and devices to collect and analyze real-time data, offering benefits such as improved safety and efficiency. The article suggests strategies for implementing IIoT technologies, including deploying wireless sensors and using edge computing control devices. It also highlights the importance of data security and the challenges of integrating new technologies with existing systems. The article provides examples of IIoT implementation in specialty chemical facilities and emphasizes the potential for safer and more efficient operations. [Extracted from the article] |
Copyright of Processing (08968659) is the property of Endeavor Business Media and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
Database: | Business Source Complete |
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Items | – Name: Title Label: Title Group: Ti Data: OPTIMIZING SPECIALTY CHEMICAL PRODUCTION WITH THE IIOT. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22McEleney%2C+Tom%22">McEleney, Tom</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bristow%2C+Paul%22">Bristow, Paul</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Processing+%2808968659%29%22">Processing (08968659)</searchLink>. Nov2023, Vol. 36 Issue 11, p14-16. 3p. 4 Color Photographs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Chemical+plants%22">Chemical plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Specialty+chemicals%22">Specialty chemicals</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Phytochemicals%22">Phytochemicals</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article discusses the use of the Industrial Internet of Things (IIoT) in specialty chemical plants. The IIoT utilizes interconnected sensors and devices to collect and analyze real-time data, offering benefits such as improved safety and efficiency. The article suggests strategies for implementing IIoT technologies, including deploying wireless sensors and using edge computing control devices. It also highlights the importance of data security and the challenges of integrating new technologies with existing systems. The article provides examples of IIoT implementation in specialty chemical facilities and emphasizes the potential for safer and more efficient operations. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Processing (08968659) is the property of Endeavor Business Media and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 14 Subjects: – SubjectFull: Chemical plants Type: general – SubjectFull: Data security Type: general – SubjectFull: Specialty chemicals Type: general – SubjectFull: Edge computing Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Phytochemicals Type: general Titles: – TitleFull: OPTIMIZING SPECIALTY CHEMICAL PRODUCTION WITH THE IIOT. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McEleney, Tom – PersonEntity: Name: NameFull: Bristow, Paul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 08968659 Numbering: – Type: volume Value: 36 – Type: issue Value: 11 Titles: – TitleFull: Processing (08968659) Type: main |
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