Tag Archives: Industrial IoT

Industrial IoT Acceleration Plans from GE Digital: “Maximize the return on your IIoT investments—accelerate your path to ROI”

“Digital industrial transformation requires more than just installing new software—it requires the adoption and utilization of new tools and solutions across your enterprise,” says GE Digital, developer of the Industrial IoT platform Predix. “Built by industry for industry,” says GE, “Predix is the Industrial Internet platform that connects your organization’s physical and digital worlds.” For background, see our ANSYS, GE partner to bring simulation to the Industrial IoT.

A new series of “Acceleration Plans” from GE Digital were developed specifically to address this need and drive outcome attainment. “These plans offer a comprehensive set of service capabilities to help you maximize value from your software investments and capitalize on your digital industrial transformation,” the company says. “Acceleration Plans address critical product support, end-user training and education, data health, and overall organizational adoption needs.” Continue reading

ANSYS, GE partner to bring simulation to the Industrial IoT

A top CAE vendor has partnered with a world industrial giant to help engineering and manufacturing organizations capitalize on the Industrial Internet of Things.

Source: GE

Part of the recent agreement between ANSYS and General Electric expands GE’s use of ANSYS engineering simulation solutions to accommodate GE’s 2015 acquisition of Alstom’s Power and Grid businesses. But of broader import is what the deal will do to extend simulation beyond product development into operations—a key aspect of Predix, the new “Industrial Internet platform” from GE. Predix is an operating system and platform for building applications that connect to industrial assets, collect and analyze data, and deliver real-time insights for optimizing industrial infrastructure and operations. Continue reading

Source: GE

Using Industrial IoT data to drive optimization

“The age of ‘Big Data’ is here: data of unprecedented size is becoming ubiquitous, which brings new challenges and new opportunities,” observed Peter Richtárik of the University of Edinburgh’s School of Mathematics and Zheng Qu of the University of Hong Kong. “With this comes the need to solve optimization problems of unprecedented sizes.”

The two Big Data experts, organizers of an “Optimization and Big Data 2015” workshop, continued by writing: “Machine learning, compressed sensing, social network science and computational biology are some of many prominent application domains where it is increasingly common to formulate and solve optimization problems with billions of variables.”

In the engineering of discretely manufactured products, few topics today are more ubiquitous than how to prepare for the age of the Industrial Internet of Things (IIoT) and Industry 4.0. The largest effects of these developments, most centrally the resulting tsunami of data about product performance in service, have yet to hit. But when they do, the impact—and opportunity—for both users and developers of design space exploration and design optimization technologies could be transformative. Continue reading

Response surface model of a product’s design space computed from results of a DOE study. Source: Dr. Peter Hallschmid, School of Engineering, UBC Okanagan