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Events

Five Reasons You Should Attend dataPARC’s Virtual Conference. 1. You won’t have to take any time off to attend. We are happy to present this year’s user conference 100% virtually. This means you won’t have to make travel arrangements and you will save on travel costs. Being virtual means you can come and go as you are able and listen in or participate as much or as little as you want depending on how your day goes. You will be able join sessions as the subject matter interests you and as your time permits.

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Dashboards & Displays, Data Visualization, News, Uncategorized

If you’re like us, you’ve likely been sent an email or told in meetings that part or much of your company staff will now work remotely. Testing for remote computer access and data volume traffic are ongoing as plans are being worked out for this new structure. For most companies, that means VPN or other remoting methods. Virtual meetings are replacing face-to-face ones and pseudo to full quarantines are on the rise. Phone conversations will go on but this won’t fully suffice to cover staffing roles. And besides, you’re talking to neighbors and wondering if you should take one more trip to the grocery store. In the midst of all the chaos, your company still needs you to not only do your job but to excel at it.

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Dashboards & Displays, Data Visualization, Process Manufacturing

Most modern manufacturing processes are controlled and monitored by computer based control and data acquisition systems. This means that one of the primary ways that an operator interacts with a process is through computer display screens. These screens may simply passively display information, or they may be interactive, allowing an operator to select an object and make a change which will be then be relayed to the actual process. This interface where a person interacts with a display, and consequently the process, is called a Human-Machine Interface, or HMI.

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Dashboards & Displays, Data Visualization, Process Manufacturing, Troubleshooting & Analysis

The digital Transformation – everyone and everything is a part of it in some way. In the 20th century, breakthroughs in technology allowed for the ever-evolving computing machines that we now depend upon so totally, we rarely give them a second thought. Even before the advent of microprocessors and supercomputers, there were certain notable scientists and inventors who helped lay the groundwork for the technology that has since drastically reshaped every facet of modern life.

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Process Manufacturing

All forms of commerce require energy. Industrial processing and manufacturing facilities tend to be the largest consumers, but even service industries such as insurance and banking require large buildings which must be heated, cooled and lit. The newest large energy consuming enterprises are data centers, which are large clusters of computers which store and serve up the data which flows through the internet. Regardless of the end use or the industry, companies strive to minimize production costs by minimizing energy consumption.

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Process Manufacturing

Most people are familiar with compressing data files so that they require less memory and they are easier to send electronically. Similar concepts are popular with process data historians. With process data, compression means reducing the number of data points that are stored, while trying to not affect the quality of the data. Compression can be accomplished using one of several algorithms (swinging door, Box Car Back Slope). Each algorithm uses some criteria to eliminate data between points where there is constant change (slope), within some tolerance.

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Events

The 2018 dataPARC User Conference was a success! Held in Portland Oregon from October 15-18, people traveled from all over the world from six different countries to present or attend. Countries represented were: United States, Canada, South Korea, Taiwan, Thailand, and China. This year we had twenty Capstone presentations and eight customer or partner presentations.

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Data Visualization

One of the challenges facing industrial process manufacturing is the growing number of data sources.

Examples of these data sources could be shift reports, process data historians, laboratory information management systems, or manufacturing execution systems. Being able to easily connect disparate data sources for decision-making is a key challenge in the age of IIOT. The lack of connection of these data sources and the creation of data silos is one version of the “big data” problem we hear about.

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Data Visualization

One of the challenges facing industrial process manufacturing is the growing number of data sources.

Examples of these data sources could be shift reports, process data historians, laboratory information management systems, or manufacturing execution systems. Being able to easily connect disparate data sources for decision-making is a key challenge in the age of IIOT. The lack of connection of these data sources and the creation of data silos is one version of the “big data” problem we hear about.

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