The principle of Open Process Automation ensures future-proofing. (Source: Kokhanchikov@shutterstock.com)
Out of the Digitization Desert

Step by Step to the Digital Oilfield

Stand in many an oil field and you will feel yourself transported back to the early 1970s. Despite past price crises and predictions of “peak oil”, little has changed in terms of measurement data acquisition, monitoring, and automation. Employees travel long distances every day; their most important tools are pen and clipboard. Yet efficiency can be significantly increased simply by equipping the measuring points with radio systems. This is the first step on the road to the digital oilfield, at the end of which lies greater added value. The principle of Open Process Automation provides future-proofing.

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Air consumption in Almatec’s E-Series Pumps is optimized through the use of the patented Perswing P Air Distribution System, which also never needs to be lubricated and requires little to no maintenance during its operational life. (Source:Almatec)
Pumps

Core Characteristics of AODD Pumps

Air-Operated Double-Diaphragm (AODD) pumps can be used for numerous applications and their unique characteristics such as simple start-up, self-priming capability, overload-proof, etc make them all the more attractive amongst industry players.

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To enable applications like AI Anomaly Assistant to detect relevant anomalies and predict events, they are trained and focused jointly by data analysts and the users. (Source: Siemens)
Artificial Intelligence in Process Automation

Use AI to Make Process Automation Relevant to Business Drivers

In the past, “more is better” often applied to process optimization – companies sometimes invested considerable effort to keep all processes in the optimal range and suppress every disturbance. But not all anomalies in processes are equally relevant to the profitability of a plant. With artificial intelligence (AI) methods, events can now be directly evaluated for their business relevance, thus opening up new possibilities for companies in the economic optimization of processes.

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Galleries

Troy Sensing, Wago USA: “The fact that IIoT solutions are being strongly driven by the MQTT protocol on the US market is because it is secure and easy to use and is well understood by most destinations and endpoints." (Source: Wago)
Digitization

Open Source Technologies Open Access to Valuable Information

The digitization train is picking up speed and many companies in the process industry have already jumped on board to gain a competitive edge through a deeper understanding of their production and a better overview of their various systems and locations. In this process, more and more companies are exploiting the fast and pragmatic approaches offered by open-source software. Automation experts, such as those from Wago Kontakttechnik, in a team with system integrators combine sensor systems, gateways, container applications and cloud computing to extract even more information from company processes.

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New multi-stage roots pumps ACP 90.  (Source: Pfeiffer Vacuum)
Pumps

New Multi-Stage Roots Pumps

Pfeiffer Vacuum has introduced new multi-stage roots pumps ACP 90 for oil- and particle free applications. The pumps prove beneficial for pumping large amounts of condensable gases like in drying applications, high humidity environments or large insulating volume pumping.

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A Lanxess employee performing an installation check for Laux operations in Uerdingen. All the important information can be retrieved at a few clicks of a button because all the piping and instrumentation flow diagrams for the plant and all the process control technology data are available in Comos.  (Bild: Lanxess)
Digitalization

How Lanxess is driving forward digital transformation

Specialty chemicals company Lanxess is taking on a mammoth task and digitalizing all its process engineering, electrical engineering and automation documentation — including lifecycle management. Uniform plant and project documentation and comprehensive data management will increase quality and efficiency in production and maintenance operations going forward.

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Prescriptive maintenance is about scheduling and carrying out predictive maintenance based on predictive analytics providing recommended actions. (Source:©Goodvibes Photo - stock.adobe.com)
Automation

Prescriptive Maintenance: A Cure for Downtime

The new term prescriptive maintenance (RxM) is a mashup of prescriptive analytics and predictive maintenance. Both have been around for a long time. So is RxM new, or is it just a clever name? And whichever the case, how is it done? And what’s the difference between prescriptive and descriptive analytics, and anomaly detection?

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