Build, deploy, and host industrial artificial intelligence applications at enterprise speed and scale for your business self-optimizing plant and shop floor.

第一原理モデルと、業界専門知識を備えた機械学習とを組み合わせたAspen Hybrid Modelsは、今日のプロセスエンジニアのサポート役としてインダストリアルAIの活用を広く大衆化します。 このビデオでは、Aspen Hybrid Modelsの概要をご紹介します。

製紙・パルプ

Improved reliability, safety, and sustainability are key strategic initiatives for pulp and paper companies to operate at maximum potential. In this Q&A with AspenTech® pulp and paper expert Joni Lipkowitz, learn how asset performance management can ensure a facility’s capability to produce and provide opportunities for additional capacity.

A global pulp and paper manufacturer set out to predict risk and improve capacity using the power of automation.

In a volatile, changing world, companies must rethink how they will compete and stay ahead. Advancements in AI and process simulation combined with deep domain expertise empower companies to do things faster, easier and smarter than ever before. View this video to learn how Aspen Hybrid Models™ integrate first principles-based process simulation models, AI and domain expertise to deliver comprehensive, accurate models more quickly without requiring significant expertise.

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. Machine learning is used to create the model, leveraging simulation or plant data while using domain knowledge, including first principles and engineering constraints to build an enriched model without the need for modeling or AI expertise.

What is a Hybrid Model and what does it do? In this infographic you will be guided through "The Top Five Things to Know About Hybrid Models." Learn how Industrial AI-powered hybrid modeling dramatically improves the Design, Operation and Maintenance of plants to accelerate your profit, safety and sustainability goals.

電力

Aspen Mtell provided a nine-day advance warning of imminent kiln overheating, allowing the plant to change operating conditions and avoid an operational shutdown. Download this case study to learn more.