Proper mastering of the digital twin is central to achieving the promise of industrial digital transformation. This project will focus on the first challenge to achieving digital twin benefits: development and execution of a plan to collect, aggregate, and analyze all the sensor data necessary to build a digital twin of a product, process, or equipment. This RFP seeks to develop and demonstrate a software tool that will integrate and make viewable data streams from all IoT systems to enable field operators, engineers, factory managers, and other key manufacturing roles to gain data-driven insights for increased operational awareness. To accomplish these digital twin research objectives, this will project will be divided into two parts:
Part A: Proof-of-concept for ‘mobile worker’ software tool and supporting infrastructure through implementation on a testbed relevant to process manufacturing.
Part B: De-risking the development of an open architecture testbed through the creation of a framework that allows for “plug-and-play” interoperability with various vendor technologies for sensing, data aggregation, analytics, and control.
Offerors have the option to submit proposals for just Part A or Part B independently or may submit proposals for both Part A and Part B. Both Part A and Part B shall be launched and executed concurrently.
RFP responses are due on or before 5:00 p.m. Central Time, September 13, 2019.