- Solar farm is part of a £1.5 million research project funded through UK Research Partnership Investment Fund
- Project in partnership with Siemens aimed at enhancing the University’s research capabilities in developing and testing robots and other autonomous systems for the inspection and maintenance of solar arrays
- Enables the University’s new Institute for Safe Autonomy to become net zero by 2025
Siemens has completed work on a 200kWp solar
farm for the University of York located at the University’s new Institute for
Safe Autonomy, as part of £1.5 million research project.
- 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.
- The new Depot360 portfolio, part of Siemens Xcelerator, reduces the complexity
of fleet electrification by offering a data-driven, performance-oriented, end-toend
solution
- Through the collaboration with partners, Siemens’ service ranges from
consultation and financing to depot design, construction, commissioning, and
ongoing management
- Siemens will support customers throughout the entire fleet electrification and
transportation management journey and thereby help them with their
sustainability targets
- Comprehensive, integrated, and charger agnostic, Depot360 requires no
CAPEX, offers maximum scalability, improved operations, and reduced energy
costs
With global transportation the second biggest emitter of greenhouse gases and road transport responsible for almost three quarters of these emissions¹, Siemens Smart Infrastructure has launched Depot360, a portfolio that goes beyond installation and servicing of electrical and charging infrastructure to cover the entire fleet electrification journey. Providing access to green energy at the lowest possible cost, Depot360 is set to accelerate customers toward their sustainability goals.
- 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 launchedElectrification X,
a highly scalable Internet-of-Things (IoT) SaaS offering to transform electrification infrastructure.
- 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.
- 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.
- 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 highlights key opportunities to drive sustainable impact at scale and speed across multiple industries with new products and partnership agreements
- Showcase identifies the critical role of technology in enabling more sustainable infrastructure
- Display includes latest additions to Siemens Xcelerator, an open digital business platform to accelerate digital transformation and value creation
At Light + Building 2024, Siemens
Smart Infrastructure will shine a spotlight on the innovative products, software and services, as
well as the collaborations needed to drive true sustainability impact for
customers and societies.
- Innovative Veloce CS architecture unifies hardware emulation, enterprise prototyping and software prototyping to accelerate verification and validation cycles by 10x and helps to reduce total cost of ownership by up to 5x
- The Veloce CS software is reusable across all platforms, helping to eliminate new learning requirements and accelerating full system workload execution and debug times by 10x
- Innovative, modular and scalable interconnectable blade footprint eliminates fixed-size chassis, delivering hardware-assisted tools for all size designs – from small to very large
Siemens Digital Industries Software launched
today the Veloce™ CS hardware-assisted verification and validation system. In a
first for the EDA (Electronic Design Automation) industry, Veloce CS incorporates
hardware emulation, enterprise prototyping and software prototyping and is built
on two highly advanced integrated circuits (ICs) – Siemens’ new, purpose-built Crystal accelerator chip for
emulation and the AMD Versal™ Premium VP1902 FPGA adaptive SoC (System-on-a-chip)
for enterprise and software prototyping.
- Enhancing proven machine learning capabilities with generative AI creates a robust, comprehensive predictive maintenance solution that leverages the strengths of both.
- Using a conversational user interface, manufacturers can take proactive actions easily, saving both time and resources.
- New generative AI functionality in Senseye Predictive Maintenance makes predictive maintenance conversational.
Siemens is releasing a new generative
artificial intelligence (AI) functionality into its predictive maintenance
solution – Senseye Predictive Maintenance. This advance makes predictive
maintenance more conversational and intuitive. Through this new release of
Senseye Predictive Maintenance with generative AI functionality, Siemens will
make human-machine interactions and predictive maintenance faster and more
efficient by enhancing proven machine learning capabilities with generative AI.