News & Knowledge

We’re your source for automation news. Keep up with the latest industry updates and E Tech employee spotlights, as well as tips and guidance from our manufacturing experts.  

Utilizing the AVEVA PI System for a Large Pharmaceutical Client

The generation, maintenance and use of historical process data is always an important part of the discussion in the pharmaceutical manufacturing sector where transparency and traceability throughout the automation system is key. It affects things such as regulatory compliance, process optimization, business strategy, and overall viability in the marketplace.  To enhance this aspect of their business, one of our clients chose to leverage the AVEVA PI Software Suite in their control system retrofit. The AVEVA PI system is one of the leaders in the industry and provides various architecture and licensing options to accommodate customers’ needs.  The AVEVA PI is a product of industry collaboration and incorporates OSISoft’s data management prowess with AVEVA’s engineering expertise. Utilizing this powerful automation platform enhances process visibility, decision-making, and optimization throughout the industrial value chain. The functionality of the AVEVA PI system can be broken down into the following subsections: collecting data, storing data, contextualizing data, and visualizing/accessing data. Redundant Data Collection Collecting data is the process of taking data from a source and sending it along the pipeline to be stored. In this use case, the data sources are PLCs and relational databases. The PI System uses PI Interfaces and Connectors to perform the data collection. AVEVA offers over 450 interfaces, allowing for collection from a vast array of data sources. In the past, the client had issues with its legacy data collection; data gaps and outages would occur too frequently. PI Interfaces facilitate data collection and allow for redundancy to ensure that there is not a single point of failure in the system.   In addition to the available redundancy, PI interfaces also provide buffering: if the archive itself is unavailable, the interface will store data locally until the archive is available again. The buffered data is then forwarded to the archive, … Continued

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Using the OSI PI System for a Large Pharmaceutical Customer

Building an Automation Infrastructure

E Tech Group Director of Operations, Cassy Gardner, is featured as a part of the following article, which originally appeared in Food Engineering Magazine. The better you know what you already have in place, the easier it is to plan for a successful future. Unless you operate a brand-new state-of-the-art plant, you probably have a facility with a mish-mash of aging processing and packaging equipment with various vintages of network and application software support—maybe several areas still requiring manual labor. As technology continues to move forward, piecemeal, aging automation systems reach a bottleneck, hampering further growth and competitiveness for the company. For older facilities, knowing where and what to automate—what your priorities should be—is important to helping you stay competitive now and in the future. For those with new plants, it’s never too late to plan your future goals – today’s turnkey automated factory is tomorrow’s control system retrofit. In this article, we consider how to know when, where and what to automate in an older facility. Of course, the answers to these questions won’t be the same for every plant, but we can see a framework essential to all automation projects come through regardless. Automation Solving Labor Shortage Problems The primary motivations driving food processors to automate their operations include labor reduction, increased production efficiency and enhanced product quality, says Ryan Beesley, CAP, Regional Engineering Manager at Kennewick, Concept Systems, Inc., a Control System Integrators Association (CSIA) Certified Member. But the labor aspect has especially been an acute problem for the last couple of years as manufacturers realize the labor shortage is not a short-term problem. Other Advantages of Process Automation Getting Started in the Planning Process No two automation solutions will be the same—each one is unique. “Custom automation solutions typically begin with a feasibility and concept phase … Continued

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What are the Current Pain Points with Supporting Utilities Such as Ammonia Refrigeration and Steam Generation?

When you look at supporting industrial utility systems like ammonia refrigeration, you may wonder how often you might actually encounter them.  They appear far more in your daily life than you realize.  Look at the rooftop of an industrial facility and see if you notice orange pipes or windsocks.  It is likely that this facility has an ammonia refrigeration system.  Now, when it comes to the maintenance of these systems, there are a few pain points that tend to plague facilities more than others. Aging Systems: These systems are decades old in most cases, many around 20–30 years old, and tend to require human labor occasionally.  By comparison, the average industrial boiler system in the United States is around 30-40 years old, and many of these systems require large amounts of human interaction more often. The thing both these systems share is a lower level of automation, utilizing control panels dependent on relays and contactors to implement control schemes.   Incorrect Sequencing Causing Inefficiency: Not only primitive automation, but the inability to adapt to changes in demand or load can present a challenging issue.  This can often result in incorrect sequencing equipment due to simple control implementations, leading to lower overall system efficiency.  A common instance of incorrect sequencing is having the largest piece of equipment either always running or brought online when demand is lower, which can be less efficient in its operation and energy consumption.  Keeping in mind these systems can also be slow to start or restart if personnel are not quickly notified when a fault or issue occurs.  Lack of Integration into Larger Control Systems: Even if a modern system has been implemented, it is less likely that it is part of a BMS (Building Management System) or DCS (Distributed Control System) which could better control … Continued

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Q and A from “Can your vision system do this?” webinar

Laurie Cavanaugh, VP of Business Development from E Tech Group, and Nick Hobbs, Senior Regional Sales Manager from Apera AI, recently held a webinar covering the benefits of integrating Apera AI’s 4D vision system into your automation project.  There were some great follow-up questions asked by our attendees and we wanted to make sure we shared the As to your Qs!   How long does it take for the AI to go through a million learning cycles?  Nick: At this time, once all required information is submitted, you’ll receive your vision program back within a week to two weeks.  How many different objects can the system handle at one time? What if they have a mix of different finishes?  Nick:  So right now, the PC alone can handle learning up to 30 different parts. However, other users that have their own internal network, which I know E Tech Group can help you to set up, have hundreds of parts and it takes a mere 20 seconds to simultaneously learn if they’re not part of those original 30.  Now as far as different finishes, I have been working with foundries and casting plants where they have metal billets.  We can pick clean or corroded, as they have varying finishes. We don’t care. We really don’t mind picking different colors, things of that nature. However, we’re not looking for color at that point, so you just need to let us know what we need and don’t need to look for. But in that sense, it won’t affect us.  Laurie: There are some things too that we take into consideration. We do have our own internal industrial IT group that has helped numerous companies’ IT groups set up the proper OT network. Between the hardware and software, servers, and systems, we can help ensure that those … Continued

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