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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, Training

New training dates have been added so now is the time to register for your dataPARC training held in Vancouver Washington just across the river from beautiful Portland, Oregon. Whether you need to escape the heat of summer, the cold of winter, or just need to get away from the plant, our hands-on training is your ticket to a welcome escape. Oh, did we mention the training?

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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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Data Visualization

There are many different systems available for storing and analyzing manufacturing process data. A historian is a database application that provides a means of storing the data. Nowadays, historians are a commodity and sites routinely have multiple sources of data – everything from embedded historians in control systems to custom databases for specific purposes. The true value is in how the data is used, not where it is stored.

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Process Manufacturing

It is that time of year again, time to gather with your peers and talk about some of the great benefits of dataPARC software. This year’s dataPARC user conference will be held at the Sentinel Hotel in Portland, Oregon from October 15- 18-2018. Besides getting to learn in a beautiful setting (Portland, OR in the fall – gorgeous!) the following are five reasons why you should attend:

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