Driving transformation in process industries through materials and chemicals informatics

Daniel Christe, Matteo Caligaris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Connecting data, people, and processes is the key to achieving true digital transformation. Process safety intelligence is derived from a vast corpus of structured and unstructured data sources - historical reports, equipment data sheets, materials and thermophysical property data, safety data sheets, best practice guides, handbooks, textbooks, and real-time feedback from instrumented equipment. Navigating this emergent complexity demands dedicated platforms to enable insight discovery across all design stages in a continuous digital thread from inception, to design and manufacturing. Edge computing coupled with machine learning approaches will further enable predictive and prescriptive analytics for process design, safety, and intensification. The talk will share a perspective on materials, chemicals data management and digitization, state-of-the-art tool and approaches on the market today to manage, and process safety information competencies that engineers entering the profession need to have.

Original languageEnglish
Title of host publication53rd Annual Loss Prevention Symposium 2019, LPS 2019 - Topical Conference at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety
PublisherAIChE
Pages550-553
Number of pages4
ISBN (Electronic)9781510886889
StatePublished - 2019
Externally publishedYes
Event53rd Annual Loss Prevention Symposium 2019, LPS 2019 - Topical Conference at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety - New Orleans, United States
Duration: Mar 31 2019Apr 4 2019

Publication series

Name53rd Annual Loss Prevention Symposium 2019, LPS 2019 - Topical Conference at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety

Conference

Conference53rd Annual Loss Prevention Symposium 2019, LPS 2019 - Topical Conference at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety
Country/TerritoryUnited States
CityNew Orleans
Period03/31/1904/4/19

Keywords

  • Data Science
  • Knovel
  • Materials Informatics
  • Natural Language Processing

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