(125a) Overview of a Continuous Process Test Bed Being Built and the Mobile Worker Use Cases That Use Augmented Reality Backed By Digital Twin Technology | AIChE

(125a) Overview of a Continuous Process Test Bed Being Built and the Mobile Worker Use Cases That Use Augmented Reality Backed By Digital Twin Technology

In this abstract the audience will learn about augmented reality and digital twin use cases around a continuous process test bed being built by a representative group of industry players and stake-holders. This industrial skid will be available for industry professionals and students to visit at the MxD facility on Goose Island, Chicago in 2021. My proposal for this skid was selected for execution under funding from US Government backed `Manufacturing USA` initiative by the Manufacturing times Digitalization Innovation Institute and is currently at an advanced stage.

Background:

Manufacturing USA was created in 2014 to secure U.S. global leadership in advanced manufacturing by connecting people, ideas, and technology. Manufacturing USA institutes convene business competitors, academic institutions, and other stakeholders to test applications of new technology, create new products, reduce cost and risk, and enable the manufacturing workforce with the skills of the future (www.manufacturingusa.com).

MxD encourages factories across the United States to deploy digital manufacturing and design technologies, so those factories can become more efficient and cost-competitive (www.mxdusa.org).

Use Cases included in this abstract benefit from extended reality and digital twinning:

The goal of the process industry test bed skid (physical) and its digital twin (virtual) is to enable field operators, engineers, factory managers, and other key manufacturing roles to gain data-driven insights for increased operational awareness in order to better solve manufacturing problems and optimize processes. A factory manager should be able to communicate with and assign tasks to the mobile worker and view all data necessary to make informed decisions about the assignment of tasks. The solution will be demonstrated using the process test bed and should be agnostic to sensor type, analytics solution, and control type. Visualization of this data should include, but is not limited to, dashboards for factory managers and augmented reality technology for field operation using mobile devices (e.g. tablet). This project should answer the key question: How would you visualize sensor data with the best User Interface/User Experience design to get a seamless experience in continuous manufacturing?

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