The digital twin: Real and gaining ground

Description

Increasingly, companies across the process industries are looking to the IIoT to help them tackle critical problems such as unplanned downtime, underperforming assets, and human-capital challenges like knowledge gaps and operational excellence—long-standing problems now being addressed by new solutions awarding gains not previously possible.

A digital twin is a virtual model of a process, product, or service—a pairing of the virtual and physical worlds that allows analysis of data and monitoring of systems to avert problems before they even occur, prevent downtime, develop new opportunities, and even plan for the future by using simulations. The concept of the digital twin is quickly becoming the foundation for connected products and services that address these customer needs, providing performance through the most advanced monitoring, analytical, and predictive capabilities now available to the end user.

Shree Dandekar explores a real-world example of a virtual twin in action: a new cloud-based service from the Honeywell Connected Plant that provides industrial users with around-the-clock monitoring of plant data, rigorous simulations, and ongoing operational health checks and recommendations to close performance gaps. This innovative service securely streams data from customer sites for storage in a data lake, from which rigorous modeling, analytics, and optimization against the digital twin of the plant are performed.

Join in to learn how the Honeywell Connected Plant is gaining new ground in making industrial operations more reliable, more profitable, and more secure than ever by using the industrial internet, machine learning, and big data analytics coupled with Honeywell’s first principles, empirical modeling technologies, and deep process expertise.

This session is sponsored by Honeywell.