• Release of AI tools to help hydrogen plants streamline design, engineering and automation processes
• Several new products for the hydrogen industry were unveiled at the Siemens stand during Achema 2024

P-5433B At the Ahmar fair in Frankfurt, Siemens unveiled new software tools for the green hydrogen industry to enable companies in the hydrogen industry to increase hydrogen production through the application of generative artificial intelligence technology. These solutions are designed to help companies dramatically simplify the design, engineering and automation of hydrogen plants, thereby accelerating the process of hydrogen production at scale.

SiePA Xssistant infuses AI assistants with industrial capabilities

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SiePA is a comprehensive industrial artificial intelligence AI predictive analytics tool from Siemens. During the show, Siemens presented the latest update to SiePA – SiePA Xssistant, an intelligent operating assistant in the form of a conversation robot. The core of its technology is an AI agent based on a large language model, capable of receiving tasks in the form of dialogue and completing the corresponding tasks autonomously with no or limited human intervention.

P-5433B Unlike traditional large language models, SiePA Xssistant fully integrates industry knowledge into the model, greatly improving the accuracy and professionalism of the answers provided by AI, and truly making the information or solutions provided reliable and actionable. At the same time, Xssistant is closely integrated with SiePA system’s model training, status query, common problem analysis, equipment fault diagnosis and other functions, so that users can achieve more intelligent and efficient plant equipment operation management through convenient and intuitive dialogue operation on the basis of traditional industrial software. Through the rational use of AI agents based on large language models, more and more existing functions can be integrated into SiePA Xssistant, which can be intelligently invoked according to demand, laying the foundation for a broader application prospect in the future.