what did
We do here?
KIT built a modular process industry demonstrator as a shared, real-world environment. Within this setup, OI4 members developed and combined three use cases, bringing different partners, systems, and technologies together in one place. The demonstrator shows how these use cases interact, how data flows across engineering, commissioning, and operation, and how interoperability works in practice within one integrated scenario.
3 use cases
1 demonstrator
A plant on a pallet…? But it runs like a real factory
The demonstrator is a modular process industry setup developed by KIT as part of a hands-on automation lab. Built as a compact, transportable unit, it consists of small, modular plant elements that can be combined and controlled independently. This makes it possible to simulate real industrial environments while keeping the system flexible and easy to adapt.
At the same time, it serves as a testbed for new approaches in industrial automation. Different technologies, architectures, and concepts can be implemented and validated under realistic conditions, from engineering through to operation. The setup brings together multiple partners and systems, allowing ideas from different workstreams to be tested together in one consistent environment.
This creates a practical environment to demonstrate how modern process industry setups can work. Instead of isolated examples, the demonstrator shows how different pieces interact, how data flows across systems, and how new approaches can be applied in a real, integrated scenario.

USE CASE 1 | INDUSTRIAL CONTROL AS A SERVICE
What?
The use case “Industrial Control as a Service” is implemented on the “Vertical Farming Module”, which is a modular demonstrator for the process Industry owned by the KIT. The module therefore is split in two independent Process Equipment Assemblies (PEA) that are controlled by diff erent cloud controllers and orchestrated via a common Process Orchestration Layer (POL) over Module Type Package (MTP).
Motivation
Process plant owners and operators face increasingly complex automation systems while needing to respond faster to market changes. This drives the need to reduce complexity, shorten time to market, and minimize update times. Future systems must be more capable, yet easier to commission and maintain. Industrial Control as a Service (ICaaS) helps bridge IT and OT, enabling faster rollout, lower complexity, and easier integration of technologies like AI.
Value Proposition
The solution off ers a shorter time to market, simplified engineering and commissioning, and enhanced scalability of OT technology by eliminating the need for edge hardware. It also ensures interoperability between various suppliers and allows for easy integration of advanced technologies like AI.
USE CASE 2 | ENGINEERING TO OPERATIONS
What?
The use case “Engineering to Operations” is implemented in the “Vertical Farming Module”, which is a modular demonstrator for the process Industry owned by the KIT. The objective is to have a standardized digital twin along the whole engineering process. The AAS is used as a technical basis to exchange Data between a component supplier and a system integrator.
Motivation
System integrators face growing pressure from plant operators to deliver flexible automation solutions faster. Engineering still relies heavily on experience and manual work due to missing unified data models and interoperable tools. An interoperable digital twin helps optimize interfaces across companies, reduce manual effort, and shorten project lead times.
Value Proposition
The availability of data in a standardized form, independent of suppliers, simplifi es engineering and enables faster coordination with all parties involved. Additionally, there is less overhead due to automated compatibility and conformity checks.
USE CASE 3 | AUTOMATED AS BUILT (NAMUR NE 176)
What?
The use case “Automated as Built (Namur NE 176)” is implemented in the “Vertical Farming Module”, which is a modular demonstrator for the process Industry owned by the KIT. The objective is to compare live parameters of sensors with their “asbuilt” parameters. To document and continuously check sensor parametrization the AAS is used as a technical basis.
Motivation
Monitoring sensors on the shopfl oor is time-consuming with a lot of necessary but ineffi cient manual activities from the operators due to the missing interoperability between the various systems and suppliers as well as the insuffi cient integration of the individual assets. Also, Using an interoperable digital twin to get a transparent view of the plant with the numerous sensors on the shopfloor and reduce manual eff orts in operations.
Value Proposition
The availability of sensor parameters in a standardized form, independent of suppliers, ensures uniformity and flexibility in system integration. This is further supported by simplified maintenance, which is achieved through automated notifications in case of anomalies, ensuring quicker response times. Additionally, the architecture is future-proof and designed to be ready for Manufacturing‑X use cases, enhancing its adaptability and long-term relevance in modern manufacturing environments.
Member
voices
curious To
learn more?
The Open Industry 4.0 Alliance supported all three use cases throughout the project, bringing together companies and like-minded experts to work jointly in one setup. It provided the structure, network, and collaboration environment to turn ideas into working implementations across partners and technologies. If you are interested in similar projects or want to learn more, get in touch.






