Siemens Industrial Copilot Optimized engineering and operations processes

Source: Anne Richter Siemens | Translated by AI 4 min Reading Time

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The Siemens Industrial Copilot is the first generative AI-powered assistant for engineering in the industrial environment. Siemens announces new features for the Industrial Copilot and wins thyssenkrupp Automation Engineering as a global customer.

The Industrial Copilot supports thyssenkrupp engineers in creating a machine visualization in WinCC Unified(Image: Siemens)
The Industrial Copilot supports thyssenkrupp engineers in creating a machine visualization in WinCC Unified
(Image: Siemens)

The Siemens Industrial Copilot for Engineering is the only copilot on the market that can write code for automation technology. Future features include multimodality and agent concepts, which will further ease the work of engineers. Additionally, there are plans to offer the Siemens Industrial Copilot for Operations as an on-premises-based hardware-software bundle to give users full control over their own data.

Rainer Brehm, CEO of Factory Automation at Siemens, stated: "With Siemens' comprehensive industry expertise, we are transforming generative AI into industrial-strength solutions that can be applied without special AI expertise. The Siemens Industrial Copilot, the first generative AI-powered product for engineering in the automation industry, acts as a catalyst for industrial automation and helps our customers achieve greater innovation, productivity, and enhanced competitiveness."

Rollout Siemens Industrial Copilot

Competitive pressure and a shortage of skilled workers are major challenges for industrial companies. The introduction of industrial-grade generative AI on the shop floor holds enormous potential for addressing current industrial challenges and improving productivity. According to a recent study by Gartner, by 2028, 75 percent of developers will regularly use generative AI to assist in code creation. In comparison, at the beginning of 2023, it was less than 10 percent of developers.

thyssenkrupp Automation Engineering, a special-purpose machine and plant builder, has integrated the copilot for engineering into a battery machine used for quality inspection of electric vehicles. The industrial company plans to deploy the generative AI-driven assistant on a large scale. From 2025, the systems at thyssenkrupp locations worldwide will be equipped with the AI assistant. The Industrial Copilot supports engineers in creating TIA Portal projects. It helps them develop SCL code (Structured Control Language) for programmable logic controllers (PLCs) more quickly, intelligently integrates the code into the TIA Portal, and creates machine visualization in WinCC Unified. This allows engineering teams to reduce repetitive and monotonous tasks such as automating data management or sensor configuration. Thus, they can work more efficiently and focus on improving processes and driving innovation.

"thyssenkrupp Automation Engineering and Siemens share a long and successful collaboration," said Dr. Rolf-Günther Nieberding, CEO of thyssenkrupp Automation Engineering. "I expect that the rollout of the Siemens Industrial Copilot will enable us—and consequently our customers—to implement complex projects in a significantly shorter time."

The Siemens device plant in Erlangen implemented the Copilot for Operations in its soldering machines. The Industrial Copilot helps operators and maintenance technicians understand a machine's error code and translates the message into natural language. It suggests solutions tailored to the specific characteristics and history of a machine by searching through various documents, manuals, or spare parts lists. This significantly reduces machine downtimes, allows production bottlenecks to be addressed more quickly, and ensures smoother shift changes.

Multimodality, agent concepts, and on-premises model optimize Siemens Industrial Copilot

The development of enhanced and more powerful functionalities for the Siemens Industrial Copilot has been instrumental in securing thyssenkrupp Automation Engineering as a customer. The Industrial Copilot for Operations enables manufacturing employees to interact directly with machines. It assists them with maintenance tasks, the detection and processing of machine errors, and helps improve machine performance. Furthermore, the Industrial Copilot will feature multimodal capabilities for analyzing and interpreting images and will increase productivity through agent-based automation for numerous tasks in the future. To ensure customer data security and that no data leaves the shop floor, the Industrial Copilot for Operations will be offered as an on-premises-based hardware-software bundle with the Simatic Industrial PC (IPC 1047E). The software stack running on IPCs is based on NVIDIA NIM microservices, which are part of the NVIDIA AI Enterprise software platform, allowing automation and maintenance engineers to make real-time queries on operational and document data. This facilitates rapid decision-making and reduces machine downtime. The configuration requires no internet connection and stores data on local hardware devices, ensuring data security since all customer data is processed directly on the shop floor, stored there, and remains available whenever and wherever needed.

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The Industrial Copilot for Engineering supports multimodal inputs, for example, by recognizing and converting manual changes in the ECAD document used for electrical planning. These changes are automatically highlighted, commented on, and finally implemented in the TIA Portal project.

Highly complex automation projects are partially automated using agent concepts. Agent concepts go beyond simple question-and-answer interactions and automate processes by breaking down large, complex tasks into subtasks. Subsequently, all relevant information from various sources, including ECAD information, is gathered to understand the user's goal. Agents can also be connected to external systems and sources, creating a closed loop where different tools are interconnected. They then devise a plan to achieve the goal and autonomously perform the necessary actions. This can include sending messages, accessing external systems, or updating records. Additionally, agents enable engineers to control all production processes—with full transparency, an overview of all data, and knowledge of the next steps.

The Engineering Copilot TIA Essential has been available on the Siemens Xcelerator Marketplace since July 2024. While Siemens provides the automation part of the Industrial Copilot, natural language processing is executed by one of the most powerful GPT models via the Azure OpenAI Service in the Microsoft Cloud. This ensures performance, data protection, and reliability at the highest level. Siemens' generative AI solutions for the industry are reliable, secure, and trustworthy—making industrial AI accessible to everyone, anytime, and anywhere.