Success across multiple
Industry 4.0 aims at catalyzing and improving innovation, efficiency, flexibility and security. Fog and Edge Computing are the keystones in the bridge between modern IT and the future of OT.
infrastructure for the
smart and flexible Industrial Automation Floor
Fog and Edge Computing bring Cloud features close to the industrial floor together with real-time and safety features. They enable scalable computing at the edge with resource virtualization supporting both real-time and non real-time computing. They incorporate modern application management and data interoperability middleware, including OPC UA, edge storage, analytics, security, and advanced networking.
Customer Success Stories
Audi’s Automated Factory Moves Closer to Industry 4.0 Case Study
Combining forces with Nebbiolo for edge software, Intel is taking analytics to the edge and helping German automaker Audi automate and enhance critical quality-control processes in its factories. Working closely with Audi engineers and technicians, Intel created a scalable, flexible platform solution that Audi can use as the foundation for current improvements and future innovations, enabling the company to increase efficiency and reduce costs.
KUKA Connect Case Study
Industrial robots are a mainstay in the manufacturing of automobiles and auto parts. Their use is spreading widely to other areas of discrete manufacturing. KUKA Robotics, one of the leading suppliers of Industrial Robots for general industry and for automobile manufacturing, found compelling use cases to deploy fog computing as part of their robotic ecosystem.
Machine Fog Node (MFN) Case Study
A traditional machine consists of tens of controllers performing functions as if in individual silos. The sensors, actuators, and other field devices work together to create the main control loop of the machine. The Industry 4.0 initiative to standardize components and the availability of industrial PCs has sparked the move towards applying edge computing to the machines. Edge computers provide a platform to integrate functions and a means to use analytics to influence the control loops. The Nebbiolo Machine Fog Node takes this one step further by applying the fog computing paradigm to the machine.
Industrial Floor Streaming Analytics
One of the fundamental promises of Industry 4.0 is to make available to the Industrial Manufacturing Floor some of the advances in data management and analytics, including Machine Learning and Artificial Intelligence. The hope is that this new visibility and understanding will help improve production efficiency and product quality.
Modernizing Industrial Electronic Infrastructure
The electronic infrastructure characterizing today’s
Industrial Floors is built around embedded systems, such
as PLCs, Computer based Numerical Controllers (CNCs),
and Industrial PCs, running either real-time OSs or multiple
generations of Windows OS.