- Siemens makes automation easy with the first generative AI-powered product for engineering in an industrial environment
- Siemens Industrial Copilot accelerates the generation of complex automation code, reduces development times, and increases productivity
- TIA Portal connection offers customers SCL code generation, customization of HMI visualization, and document search in natural language
- Available for download from the Siemens Xcelerator marketplace starting in summer 2024
At Hannover Messe 2024, Siemens presents the first generative artificial intelligence (AI) product for engineering in an industrial environment. The Siemens Industrial Copilot, the generative AI-powered assistant, is now seamlessly connected to the Totally Integrated Automation (TIA) Portal. This will enable engineering teams to find the right help topic and to generate a basic visualization and code faster for programmable logic controllers (PLC). As a result, they will be able to significantly reduce their workload and offload repetitive tasks to the Siemens Industrial Copilot. In addition, the engineering of complex tasks will become less susceptible to errors. This in turn reduces development times and boosts quality and productivity over the long term. The Siemens Industrial Copilot for TIA Portal Engineering will be available for download from the Siemens Xcelerator marketplace starting in summer 2024.
- Siemens Smart Infrastructure has introduced Electrification X to transform ageing electrification infrastructure. This latest addition to the Siemens Xcelerator portfolio builds upon the success of Building X and Gridscale X
- Electrification X is a continuously growing dynamic, open and interoperable portfolio, facilitating the seamless digital transformation of electrification infrastructure across commercial, industrial, and utility applications
- By leveraging Electrification X, customers gain access to a range of IoT SaaS offerings and software solutions for enhancing energy efficiency, enabling e-mobility, and optimizing industrial energy systems
Siemens
Smart Infrastructure has launched
Electrification X,
a highly scalable Internet-of-Things (IoT) SaaS offering to transform electrification infrastructure.
- Simatic S7-1200 G2 will be available in winter 2024
- Key benefits include efficient motion control, flexible machine safety, increased performance, and seamless scalability
- Customers can experience Simatic S7-1200 G2 at the Hannover Messe Siemens booth
For the first time in ten
years, Siemens is announcing a new generation of controllers, available in winter
of 2024, at Hannover Messe 2024. The Simatic S7-1200 G2 controllers are part of
the Simatic controller family. With this new generation of controllers, Siemens
is expanding its offerings and demonstrating how these latest innovations will
make automation and programming easier for customers.
- Standardization will foster collaboration, accelerate innovation, and facilitate the exchange of digital twin models and data
- Collaboration with the W3C working group set to propel the convergence effort, bringing about a unified standard to unlock commercial potential being held back by IoT fragmentation
In a collaborative move
with the W3C Consortium, Siemens and Microsoft have announced their commitment
to converge the Digital Twin Definition Language (DTDL) with the Thing
Description standard from international standards organization, W3C.
- Siemens presents innovations in Drivetrain Design and Drivetrain Health at Hannover Messe
- DriveSim Engineer for efficient selection, validation, virtual commissioning, and optimization of drivetrain systems
- Intelligent condition monitoring for a healthy drivetrain with Drivetrain Analyzer Cloud and Drivetrain Analyzer X tools
At
this year's Hannover Messe, Siemens is presenting Siemens Xcelerator for
Digital Drivetrain, its comprehensive and integrated digitalization
offering along the drivetrain value chain comprised of two areas: Drivetrain
Design (dimensioning and simulation) and Drivetrain Health (connectivity and
optimization).
- New product connects Siemens Xcelerator with NVIDIA Omniverse Cloud
APIs to build collaborative, real-time, physically based visualization driven
by generative AI
- At NVIDIA GTC, Siemens and NVIDIA will join with HD Hyundai to
highlight how integrated visualization helps offer greater understanding and
insights
Siemens announced today that it will deepen its collaboration with
NVIDIA to help build the industrial metaverse. Siemens is bringing immersive
visualization powered by new NVIDIA Omniverse Cloud APIs
to the Siemens Xcelerator platform, driving increased use of AI-driven digital
twin technology. At the NVIDIA GTC, Siemens and NVIDIA demonstrated how
generative AI can revolutionize the visualization of complex data, making
photorealism possible, and showcased how sustainable shipbuilder HD Hyundai can
use it to develop new products.
- Additional variant of this high-power charger offers a maximum and continuous output of 400 kW DC
- Dynamic charging enabled for up to four vehicles simultaneously
- Ideally suited to a range of vehicles and use cases, including highway charging
Siemens Smart Infrastructure has introduced an
additional variant of its SICHARGE D electric vehicle (EV) fast charger, with a
maximum output of 400 kW for IEC markets.
- End-to-end automation and digitalization in intralogistics as a decisive competitive advantage
- NEW: Simove for automated guided vehicles and mobile robots with new features
- NEW: Simatic Robot Pick Pro and Simatic Robot Pack AI for robot systems
Following
the motto "LogiMAT 2024 – experience the flow," Siemens is showcasing
its extensive automation and digitalization portfolio for the intralogistics
industry at this year's Logimat. Intralogistics is the backbone of every supply
chain. Increasing demands for energy efficiency and sustainability as well as
labor shortages and cybersecurity threats require efficient and adaptive
material flow technology. IoT-enabled hardware and software from the Siemens
Xcelerator portfolio cover the entire warehouse operation, including receiving,
transport, storage, picking, packing, and shipping. By leveraging
digitalization, automation, and innovative technologies like the digital twin,
Siemens is improving the efficiency and sustainability of the intralogistics
industry and paving the way for a smart, adaptable, and resilient future for logistics
operations.
- Siemens and Enlighted announce ecosystem partnership with Zumtobel Group, a global lighting solutions provider
- Enlighted’s state-of-the-art smart sensor technology to be integrated into Zumtobel Group’s premium lighting products, for an attractive IoT lighting bundle for customers
- Advantages of the partnership include: effective prefabricated solutions, efficient wireless deployment, smart adaptable technology, and enhanced insights
Siemens and Enlighted, a leading property technology
company owned by Siemens, announce a strategic partnership with Zumtobel Group,
a global lighting solutions provider, to advance the adoption of smart building
technologies including intelligent IoT lighting, setting new standards for
efficiency and sustainability in building operations worldwide.
- Siemens’ next generation grid management software, Gridscale X™ DER Insights, supports goal to achieve net-zero emissions in the US by 2050
- The software provides better visibility of behind the meter distributed energy resources (DERs) and their impact on the grid
- These insights are critical for better grid planning and asset health, and
ensuring the success of customer programs
- Gridscale X DER Insights is part of the Siemens Xcelerator portfolio
Siemens has announced its latest Gridscale X software offering enabling distribution utilities
to gain better visibility and insights of distributed energy resources (DERs) behind the meter
to increase grid capacity. With the rising number of DERs, this causes operational
challenges for distribution networks not originally designed to operate with these resources.
Gaining insights into where they are and how DERs are operating is a critical first step in
addressing the problems and subsequently taking advantage of these resources for grid
optimization.