[Webinar] Avoid the Data Swamp: Creating a Clear IIoT Data Lake Using Standards Such as MTConnect

Jan de Nijs oversees Lockheed Martin’s manufacturing production data collection and management at the F-35 plant in Ft. Worth, Texas and is team leader within the Lockheed Martin Digital Transformation Program. In 2019, he was awarded the prestigious...
by AMT
Jun 02, 2020

Join AMT and Lockheed Martin for an invaluable presentation on how LM’s strategies for data management, security, and analysis can benefit your business.

REGISTER NOW

The speaker: Jan de Nijs oversees Lockheed Martin’s manufacturing production data collection and management at the F-35 plant in Ft. Worth, Texas and is team leader within the Lockheed Martin Digital Transformation Program. In 2019, he was awarded the prestigious distinction of being appointed a LM Technical Fellow for his contributions to manufacturing engineering, business systems integration, and Industrial Internet of Things.

The problem: Modern machines are built with a multitude of sensors that track the machine’s condition and work. Manufacturers using transformative technologies gather that raw data from these inputs and outputs. However, because a production process includes many machines and software from different manufacturers who use different codes and programs, users must be proficient – if not experts – in these different languages if they intend to take advantage of the gathered data. This is highly impractical. As a result, the raw data piles into a swamp of unclear, cluttered, and ultimately useless data points. 

MTConnect: MTConnect is an open-source standard that processes the different programming languages and allows them to be stored, analyzed, and presented in a dashboard. Users may then manipulate settings, monitor machine efficiency, plan for maintenance as machinery wears down, and much more. This significantly improves the user experience and increases production efficiency. 

Lockheed Martin: With nearly 55,000 scientists and engineers in 375+ facilities around the globe, Lockheed Martin generates and processes huge volumes of manufacturing data. Their approach to Industrial Internet of Things (IIoT) data management leverages a cloud-based data lake, custom and off-the-shelf data collection software and hardware, secure networking devices, and a huge variety of industrial protocols in order to minimize data complexity and ambiguity. Understanding and evaluating the LM approach is useful for deploying similar technology stacks at any scale, knowing trends and current best practices in manufacturing, and of course for any vendors selling into the company and its supply chain. 

PicturePicture
Author
AMT
Recent intelligence News
Missed AMT’s MTForecast? Here’s some insight on the double-digit growth rate of additive manufacturing (AM) and surprising shifts from AMT Analyst Mark Huber.
Does a year-over-year percentage growth truly reflect industry change? Do increased robot installations in sectors with less robot density look the same in ones with more density? Derivatives help expose how total change is affected when variables change.
The statistical perspective of significance should not be confused with the practical sense of significance. Consider the difference between something having strategic importance versus something being statistically significant.
The University of Michigan’s Consumer Confidence Index fell from 101 in February to 72 in April. University analysts state that a collapse in confidence stemmed from concerns around personal finances and the national economy – both related to fallout...
IHS Markit compiles data from the Purchasing Managers’ Index (PMI) for more than 40 economies worldwide. Monthly reports are derived from survey data collected from senior executives at private sector companies. This month, private sector firms in the...
Similar News
undefined
Technology
By Tim Shinbara | Sep 11, 2019

Data-driven manufacturing, Industry 4.0, and IIoT are discussed widely these days, and the hype is creating some confusion and misrepresentations in the market. Often discussed in all-or-nothing terms, and replete with generalizations, many companies...

5 min
Featured Image
Technology
By Pierce Owen | Nov 05, 2018

Smart manufacturing revenue will grow substantially during the next eight years, from $4.5 billion this year to $51.5 billion in 2026. This growth will hit all the revenue segments — including security, device and application platforms, connection...

4 min
undefined
Technology
By Benjamin Moses | Jul 14, 2020

Episode 29: Ben enjoys watching his neighbor struggle with their sprinkler system. Stephen hopes to have the end-of-arm-tooling (EOAT) for the xArm soon. Ben and Stephen host Russ Waddell, the Managing Director for MTConnect at AMT for some standards...

16 min