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.

| May 19, 2022

Questions answered: What is just enough industrial data analysis?

Director of Business Development, Laurie Cavanaugh presented a webcast for Control Engineering on Data Analysis with Matt Ruth of Avanceon. Below are a few participant questions and answers from the webcast. Who is typically the driving force to engage on analytics in a manufacturing plant? A top-down approach to data analytics is typically driven by corporate and involves corporate IT and the use of accessible data in the form of financials and some operational data that has been consolidated (transactional data) based on enterprise resource planning (ERP) and business intelligence software. A bottom-up approach is typically driven by manufacturing departments or sites and starts with granular detail (time-series data) using historian databases and extraction tools offered by automation and controls manufacturers. Where true value and insight can be experienced is in the convergence of these two analytics’ efforts to connect the corporate financial and operational data with the more granular process execution data to provide a more thorough and holistic view of key factors that drive organizational decisions from top to bottom. What do you see as the future of analytics in manufacturing? The future is now. User expectations and demand for contextualized and intelligent information, driven by the tools used outside of the workplace, are countering old excuses or reasons for the failure to deliver fact-based analytics, directed decision making, and immediate access to critical information. Technical tools and platforms are not lacking. What is lagging is the complete understanding and response to the non-technical bottlenecks and barriers. Greater awareness of how analytics applies to processes and proper context for critical decision factors produce the value that addresses those non-technical barriers. Do you realistically see the wall between information technology (IT) and OT disappearing? The IT/OT wall or divergence must be overcome for the sake of shared responsibility: the … Continued

| May 13, 2022

Join us at Automate 2022

We’re excited to announce we will be exhibiting at Automate 2022 with our partners at Apera AI. We hope you’ll SWING by at booth #4113 to see our ABB cobot TEEing up a golf related demonstration utilizing the latest in adaptive 4D vision technology. You wont want to miss out! Click Here to Register for Automate 2022.

| April 28, 2022

E Tech Group Webcast: What is Just Enough Industrial Data Analysis?

E Tech Group’s Vice President of Business Development, Laurie Cavanaugh was a presenter for this Control Engineering webcast, where she and Matt Ruth, President of Avanceon, discuss what “just enough data analysis” is, pros and pitfalls, and the future of data analysis in automated manufacturing. The webcast included live Q&As from the audience, and was followed up with an article offering even more answers to automation professionals’ questions about data analytics in their plant processes. Just-in-time supply chain strategy limits were exposed in a global pandemic. Is just-enough industrial data analysis working for operations? Is the right data getting to the right people to optimize operations in time? Where are the bottlenecks and how are they being addressed? Where’s data going to become information and who’s seeing it? In the cloud or on premise or both? Are your knowledge brokers seeing the right information quickly enough to make the right decisions, or are your analytics too much, too late to be effective? Utilizing case studies as illustrations and an interactive format, Cavanaugh and Ruth advise control system integrators on how to: Determine if just-enough data analytics provides enough benefits to operations. Identify if enough data intelligence (results of analytics) is getting to people who matter. Examine bottlenecks in data analysis and how to address them. Review tools and architectures for eliminating bottlenecks. See lessons learned in applying data analytics (too little too late or just enough in time). This presentation focused on the future of data analytics in industrial manufacturing, including obstacles control engineers need to overcome in order to move forward in the industry and embrace the new role data analysis will take in the field. Visit E Tech Group’s blog for more automation industry news and insights.

| April 25, 2022

Alias Resolution in DeltaV

by Mark Noseworthy, Group Engineering Manager I was recently working at a client and made some DeltaV code changes on the Development system to a composite1 used in a control module. One of the code changes involved adding an Alias2 reference out to a different control module to obtain some information running in that other module concurrently. Once it was all configured and tested, the code was downloaded successfully to the Production system, and I didn’t think any more on it. Fast forward a few months, and a colleague is modifying the same code for a different project. He was experiencing some odd behavior in the code that he couldn’t explain. He pulled in the client and me to look at it, and none of us could figure out what was happening. The phase that was running on the unit module that contained the control module with the composite that we had both updated would not run successfully the first time through the code, but if manually manipulated, the phase would run as expected subsequent to that first pass through the logic. We troubleshot the issue by first reinstalling the code without my colleague’s changes, assuming that would fix things. It did not. We were flummoxed. Since my colleague’s logic needed to be used in Production, the client indicated that it was acceptable to put on the Production system, attributing the odd behavior as a Development system issue. Upon doing this there were no issues running in Production. Although grateful, we were doubly flummoxed now. Clearly the issue lies in the Development system, but where? Trying to Uncover the Mystery Flaw in the Control System Further investigation discovered a yellow question mark (which generally means some sort of error) on a CALC (calculation) block that was definitely not there when the initial code was verified. This also happens to … Continued