Infosys announced that it will create new Internet of Things (IoT) solutions, which will help derive practical benefits from massive amounts of data generated through connected devices in the industrial enterprise.
Infosys has collaborated with GE to help manufacturers and other industrial enterprises improve asset efficiency and build more intelligent linkages between design, production and field testing.
The Industrial Internet Consortium (IIC), an international body of industries, governments and academics focused on developing best practices for the Industrial Internet, recently approved two Infosys-led testbeds viz. Asset Efficiency Testbed & Industrial Digital Thread Testbed.
Asset Efficiency Testbed enables holistic monitoring, analysis and optimization of critical infrastructure assets. The first use case focuses on predictive maintenance for an industrial asset such as aircraft landing gear. A demonstration will be showcased at the GE’s Minds & Machines conference today. The Asset Efficiency Testbed team included Infosys, GE and other industry partners.
Industrial Digital Thread Testbed creates more intelligent linkages between the three phases of manufacturing design, production and field testing/service. By capturing, analyzing and relaying real-time sensory and historical data at each of these phases, the Industrial Digital Thread (IDT) will generate insights that can help field engineers and service teams identify the root cause of component failure easily, and provide faster corrections to flaws in design engineering and manufacturing operations. IDT leverages two open-standard big data analytics engines – the Infosys Information Platform (IIP), which provides in-memory data analytics and big data management, and GE’s Predix platform that delivers data acquisition, processing and user interface and application development. IDT has been co-developed by Infosys and GE, and will be implemented first as a pilot project at GE Aviation.
Dr. Vishal Sikka, Infosys Chief Executive Officer says
“The internet of things is about dissolving the layers of complexity and the intermediaries that create distance between the point of manufacturing and the point of consumption, between understanding and preventing points of failure in the manufacturing process, in machines or in critical processes, and between what the customer wants and what is delivered. The value comes from bringing intelligence directly to these end-points, and in doing this we can completely re-imagine the notion of industrial manufacturing, and every industry, and we look forward to doing much more in our work with GE in these areas.”