atvise® & AI
Why the Foundation Determines the Benefits
AI needs structure. atvise® has had it since 2006.
The answer is already in the project. You must be able to access it.
In automation, valuable knowledge has long been embedded in systems: in projects, configurations, scripts, documentation, alarms and log data. The challenge is not generating this information, but bringing it together, putting it into context and making it usable at the right moment.
This is where artificial intelligence becomes interesting. AI can make existing knowledge accessible, identify connections and help experts find the right information faster. Not as a replacement for expertise, but as a way to access it.
However, for AI to deliver real value in automation, it needs more than a powerful model. It needs structured, accessible and reliable data. And this is where system architecture comes into play.
Since 2006, atvise® has combined open standards, structured data and a web-based architecture. This creates the foundation for AI to truly unlock its potential in automation.
An assistant is only as good as its access to the system
A language model does not know the system. It can only answer what it can read. In a closed system this means: It reads very little and what it does read must be provided via custom-built intermediate layers. Each of these layers represents effort, a source of error, and a dependency.
With atvise® this detour is eliminated. The foundation for this was laid long before the current AI discussion.
Three Essentials for AI: atvise® has them.
For an assistant to work with a plant, it needs more than a language model. It needs structured access to information, an environment for application, and open interfaces to the outside world. These foundations have been part of atvise® for years.
The foundation for AI has been in place for years:
- OPC UA structures the information.
- Web technology makes it accessible everywhere.
- Open interfaces, scripts, and OPC UA methods provide the path to the outside world.
What AI applications need today is therefore not an entirely new technological world. They build on an architecture that has shaped atvise® for years.
The Next Step: AI in Engineering
The atvise® architecture has been systematically analyzed to determine where AI provides real value and where it does not. The first assistive tools have been developed and are currently in trial operation:
- tools to assisst Dashboard configuration
- Documentation
- Application-related questions
The greatest potential lies not in runtime operation, but in engineering. This is where a significant amount of effort is generated that can be reduced substantially with AI assistance. It is also where errors can be identified and corrected before they affect the plant. In the engineering role, agents can support tasks such as generating scripts, displays, or object types.
In runtime, agents play a different role, depending on their tasks and the way they access the process image:
Reading | non critical | Tools and agents can read information. |
Writing | Critical | Process interventions and write operations require control. |
In automation a misspelled variable can alter the set value, destroy a display, or override an alarm configuration.
That is why the principle is adhered to:
- Every intervention by an assistant requires explicit human approval.
- Every suggestion must be reviewed.
What comes next...
...the foundation is in place.
We will continue this work over the coming months and show what emerges from it.
- You’ll be the first to know, right here.
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