I D
× COMMENTARYCOVER STORYIN THE NEWSNEWSFRONTSCHEMENTATOR + Show More
Chemical EngineeringChementator Briefs
Ethylene dichloride Recently, Chemetry (Moss Landing, Calif.; www.chemetrycorp.com) and Braskem…
BUSINESS NEWSTECHNICAL & PRACTICALFEATURE REPORTFACTS AT YOUR FINGERTIPSTECHNOLOGY PROFILEENGINEERING PRACTICEEQUIPMENT & SERVICESFOCUSNEW PRODUCTS + Show More

Comment uncategorized

New AI solutions accelerate smart plant optimization

By Mary Page Bailey |

Aspen Technology

AspenONE V12, the newest release of the leading asset-optimization software platform, embeds artificial intelligence (AI) across the portfolio, and uses the cloud for delivery of enterprise-wide analytics and insights for increased safety, sustainability, and improved margins. AspenONE’s Hybrid Models bring together the company’s process models and machine-learning capabilities to move forward advancement in process engineering and plant improvement. AspenONE V12 solutions feature what is said to be the first industrial-AI hybrid-model capability that is purpose-built for the process industries and other capital-intensive industries. These models capture data from assets across the enterprise, and then apply AI, engineering first principles and AspenTech’s domain expertise to deliver comprehensive, more accurate models at enterprise speed and scale. Furthermore, the release enables users to apply AI to critical processes without additional data science expertise and offers support for new users without deep process knowledge or experience. New features of aspenONE V12 include: Maestro (photo), a new capability for Aspen mTell that automates the development of models faster by guiding a less experienced user on how to build a particular model or agent; Deep-Learning IQ, which enables the building of more accurate models and predictions; Event Analytics, which provides rapid insight into production events; Cloud Connect, which provides flexible connectivity with high performance and security to transfer data from edge to cloud; Capital Cost Estimator Insights (ACCE), which provides visualization and collaborative workflow within a hybrid cloud environment; and much more. — Aspen Technology, Inc., Bedford, Mass.

www.aspentech.com

Related Content

Andritz

The Influence of IIoT in the Dewatering Process Step of Pigment Production

Taking a look at dewatering, an important step at the heart of the colour pigment production process. By using a method for a calcined kaolin pigment as an example, we explain how an intelligent filter press can improve pigment production.

Chemical Engineering publishes FREE eletters that bring our original content to our readers in an easily accessible email format about once a week.
Subscribe Now
The influence of IIoT in the dewatering process step of pigment production
The Big 6 level measurement technologies, where to use them and why
Top five technologies for drying in chemical applications
Crude distillation unit (CDU) optimization
Upstream Oil & Gas: Automation intelligence from wellhead to distribution

View More