Hannover Messe 2024
Siemens presents AI product for engineering
At Hannover Messe 2024, Siemens is presenting the first generative artificial intelligence (AI) product for engineering in an industrial environment. The Industrial Copilot, a generative AI-supported assistant, is seamlessly connected to the TIA Portal
At Hannover Messe 2023, Siemens and Microsoft jointly presented their vision for a generative AI-supported assistant: Siemens Industrial Copilot incorporated automation and process simulation technology from Siemens' digital business platform Siemens Xcelerator. The language models of Microsoft Azure OpenAI Service extended the Siemens Industrial Copilot to enable, for example, the creation and optimization of software code for factory automation. At the Smart Production Solutions (SPS) trade fair in fall 2023, Siemens and Schaeffler presented a production machine enhanced with the Industrial Copilot for the first time. Siemens is now taking the next step at Hannover Messe 2024: the Industrial Copilot will be the first generative AI-supported product for engineering on a large scale.
Available for download from summer
Siemens Industrial Copilot, a generative AI-supported assistant, is seamlessly connected to the Totally Integrated Automation (TIA) Portal. Automation engineers can find answers to their questions faster, generate a basic visualization and develop code for programmable logic controllers (PLCs) more quickly. This significantly reduces their workload, routine tasks can be outsourced to Siemens Industrial Copilot and the engineering of complex tasks is less error-prone. With quality and productivity increasing in the long term, development times are significantly shorter. The Siemens Industrial Copilot for TIA Portal Engineering will be available for download from the Siemens Xcelerator Marketplace from summer 2024.
New features
Automated code generation in Structured Control Language (SCL) is one of the new functions of Siemens Industrial Copilot for TIA Portal Engineering: The TIA Portal takes over the code proposal directly from the AI system so that copying and pasting is not necessary. The Siemens Industrial Copilot can explain SCL code blocks to users, support them with an initial machine or plant visualization in WinCC Unified and also create them. In addition, engineering teams can search Siemens operating instructions in natural language. Customers have the option of accessing their private instance of Azure OpenAI Service. This means that no customer data is used to train the AI models.










