From a Valve to a Reliable Data Point
Why the Asset Administration Shell matters most for mechanical components
The digital twin has been a talking point for years, usually in connection with sensors, software and smart field devices. Yet look at any process plant and most of what you see is not smart at all. Kilometres of piping with flanges and fittings, countless valves, manifolds and other mechanical components. Our own contribution to this is a small but critical part: the instrumentation valves that isolate and connect every measuring point. Often a smart transmitter sits right on top of them. The valves themselves, like most of the equipment around them, have no power supply, no firmware and no interface.
They still matter. They are safety-relevant, they need maintenance and they have to be documented. And because there are so many mechanical components in a plant, they hold a large and often overlooked opportunity. Give each of them good digital data, and everyone who works with them has an easier job.
The gap is information, not intelligence
What changes in day-to-day work
| Everyday question | Today, without structured data | With the Asset Administration Shell |
|---|---|---|
| Which valve is installed here? | Searching project folders, PDFs and handover packages | Scan the code on the product and go straight to its data |
| Which materials and certificates apply? | Spread across datasheets, drawings and separate certificate files | Available in one place, linked to the individual product |
| Which spare part do I need? | Ask the manufacturer and wait for an answer | Product and parts data directly accessible |
| How do I maintain it correctly? | Operating manual as a PDF, copied over by hand | Documentation structured according to VDI 2770, ready to use |
Equipment and tag: who links what?
What about existing plants?
Most plants operate for decades, so the realistic question is not how a new plant is equipped, but how existing ones benefit. Here the good news is that nobody has to digitise a whole plant at once. Two practical routes have emerged:
- Grow with every replacement. Every component replaced during maintenance or a turnaround can arrive with its AAS. Over time, the share of documented equipment in the plant grows without a separate project.
- Retrofit by product type. For components already installed, the type designation on the nameplate is often enough to retrieve the type-specific data, such as datasheets, drawings and operating instructions, from the manufacturer. Some manufacturers already provide this on a large scale, including for their installed base.
Neither requires a fully integrated digital landscape on day one. Operators can start with critical or frequently maintained assets and store the AAS files they receive in a simple repository. They can connect them to their systems later. The atp magazin recommends exactly this pragmatic approach: an interim solution is better than no structured data at all. A technician who scans a code on a newly installed valve and finds its documentation straight away saves time today. As systems are connected step by step, the data is already there.
Our perspective as a component supplier
We did not come to this topic recently. The first predecessor of our digital twin went live in 2019, and digital product information is available today for our E-Series, Taurus and VariAS product lines, monoflanges, ball valves and air headers. Since then we have worked in the bodies that shape the standards: in the Open Industry 4.0 Alliance and in the Digital Data Chain Consortium (DDCC), where operators and manufacturers from the process industry work on unique identification, digital manufacturer documentation and neutral exchange platforms.
Taurus
SC-03-20-WC048001
Monoflange
SC-09-22-AW068001
VariAS
SC-05-22-AF735001
E-Series
SC-04-22-AO294004
Try it yourself: scan a code to open the digital product information of a delivered AS-Schneider product.
We are not alone in this. A growing number of manufacturers already provide an AAS, from automation suppliers such as Endress+Hauser, Siemens, Harting and SICK to process industry specialists such as R. STAHL. And because the AAS is an international standard, defined in IEC 63278, customers are not locked in. Data from different suppliers follows the same structure, can be used with the same tools and remains readable independently of any single vendor.
Available for the life of the plant
CFIHOS and AAS: two standards, one goal
Getting started step by step
Looking ahead
Structured product data is a foundation that other topics can build on. Three are already on the horizon.
- Transparency from the supply chain. Operators increasingly want to see how their orders are progressing, with manufacturing and inspection milestones reported in a structured format such as CFIHOS rather than through spreadsheets and status calls. A European engineering contractor has proposed a similar approach for pharmaceutical projects and expects significant savings and better project control. We are glad to support this and are exploring a handful of opportunities.
- Sustainability data. Regulations such as the European Digital Product Passport, and the reporting duties of large customers worldwide, will increase demand for information such as material origin and product carbon footprint. Whatever form the requirement takes, it builds on the same data foundation.
- Valves with electronics. Motor-operated valves and valves with sensors for condition monitoring will add operating data, and with it new obligations such as the European Cyber Resilience Act. A structure built for mechanical components can be extended accordingly.
Conclusion
Further reading
CFIHOS (IOGP JIP36) — The Capital Facilities Information Handover Specification, defining which data and documents an operator needs at handover. Version 2.0 includes JIP33 alignment and ISO 14224 enrichment. All documents are free to download.
AS-Schneider and digital twins
AS-Schneider has been working on digital twin concepts since 2019 and contributes actively to the Open Industry 4.0 Alliance and the Digital Data Chain Consortium. If you would like to discuss how structured product data can help in your projects, or try it out in a proof of concept, we are happy to talk.
