Bert Farabaugh

Field Applications Engineering Manager

Check out the posts written by Bert Farabaugh

Frameworks and Transports: Choosing the Best IIoT Connectivity Solution

Building out a distributed system infrastructure in today’s emerging Industrial Internet of Things (IIoT) landscape can be a daunting task, to say the least. If you are a developer or system architect, you know that there are many tools and protocols available to use to move data around in your distributed application. Not to mention the possibility of building out your own custom solution directly on TCP or UDP sockets. Wouldn’t it be great if a lot of the work that needed to be done before you could make a decision on your next infrastructure was already done for you?

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Engineering Beyond the Cubicle

First, a few questions:

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Use MATLAB to Leverage Your Live IoT Data

If you have ever done any data analysis from a sensor or other type of data source, you have most likely followed a process where you collect the data, you convert the data and then use MATLAB to process and analyze the data.  Using  MATLAB to analyze the data is a very well known tool to accomplish that task.  Collecting and converting the data, so that it is usable in  MATLAB, can take an enormous amount time.  Thanks to an integration that was completed by MathWorks, it is now possible to easily connect  MATLAB up with live data that is being published and subscribed to on DDS.  With  MATLAB being one of the top tools used to analyze data and DDS quickly becoming the data communications middleware of IIoT applications, this integration will enable some very rapid prototyping and test analysis for developers.  This blog post will walk through a few examples of how to publish DDS data and also how to subscribe to DDS data using  MATLAB.

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6 Industrial IoT Communication Solutions - Which One’s for You? [Comparison]

To say that the task of selecting your Industrial IoT (IIoT) communication infrastructure is a very complex undertaking would be an understatement. The evaluation of the myriad of commercially available solutions is both time consuming and expensive. Try downloading and evaluating multiple solutions of each type of infrastructure and you will quickly find yourself in the midst of a project that will take several engineers a good six months to complete. We’ve all been there, and I want to help you save yourself some valuable time!

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Visualizing Data in Micro Sensor Applications

I can't believe I have been at RTI for more than 12 years now! In that time, I have seen the evolution of the OMG Data Distribution Service from its early days, as well as the realization of RTI's mission to create the best DDS implementation available.

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Connecting Your DDS Apps to Web Services Using Javascript and Node.js

One of the benefits of the Industrial Internet for manufacturers and OEM's is the access to live data for more and more applications. This data availability enables performance analytics, more robust business metrics, predictive maintenance analysis, and various other capabilities to be realized by end users and equipment manufacturers alike. In the enterprise, Web Services dominate the typical access to data. On the manufacturing floor or in deployed systems, real-time data delivery is a requirement. DDS is one of the primary infrastructures used to share large amounts of data in very low latency delivery times.

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