- Focus on combining the real and the digital worlds
- IIoT: Data-based algorithms increase operational efficiency of plants
- Process optimization and modularization as the key to success
At the "Achema Pulse" live digital event, Siemens will be demonstrating how the combination of the real and the digital worlds empowers industrial companies to act in a versatile and sustainable manner. Companies in the process industry are facing urgent and rapidly changing challenges. The Covid-19 pandemic in particular has transformed demand patterns and global supply chains virtually overnight. At the same time, industry-specific regulations and standards are creating new framework conditions for production. Digitalization and automation are the levers for mastering these changes. Industrial IoT solutions can exploit the resulting data to secure a competitive advantage since the intelligent analysis, understanding and utilization of the data allows companies to adapt their processes faster to changing requirements. The Siemens Digital Enterprise portfolio makes this possible by combining the real world with the digital world, thus enabling solutions for simulation, virtual processes, remote access and connectivity as well as presenting service offerings for digital transformation. Thanks to the corresponding industry-specific know-how, individual sector requirements can be taken into account.
- Simotics XP motors from 0.25 to 460 kW available in gas groups IIB
und IIC
- Premium efficiency class for all motors
- Chemstar: motor solution tailored for the chemical industry
The flameproof Siemens low-voltage motor series Simotics XP is now available across the entire power spectrum from 0.25 to 460 kW in gas groups IIB and IIC. Furthermore, with the availability of premium IE3 efficiency, the low-voltage motors are ready for future energy efficiency requirements. In addition, Siemens offers motors with Chemstar technology, which provide a tailored motor solution for the chemical industry with pre-configured, chemical-specific options.
- Scalance MUM856-1 connects local industrial applications to public 5G, 4G, and 3G mobile wireless networks
- Router supports future-oriented applications such as remote access via public 5G networks or the connection of mobile devices such as automated guided vehicles in industry
- Robust version in IP65 housing for use outside the control cabinet
- Prototypes of Siemens 5G infrastructure for private networks already in use at several sites
The Scalance
MUM856-1 – the first industrial 5G router from Siemens – is available now. The
device connects local industrial applications to public 5G, 4G (LTE), and 3G
(UMTS) mobile wireless networks. The router can be used to remotely monitor and
service plants, machines, control elements, and other industrial devices via a public
5G network – flexibly and with high data rates. Demand for this type of
solution is growing in industry. In addition, the device can be integrated into
private 5G networks. The Scalance MUM856-1 therefore supports future-oriented
applications such as mobile robots in manufacturing, autonomous vehicles in
logistics or augmented reality applications for service technicians. Thanks to
a robust IP65 housing, the router can also be used outside the control cabinet,
for example under harsh conditions in production or in outdoor facilities in
the water industry.
Siemens has
announced its AI Anomaly Assistant Industrial App, which uses artificial
intelligence (AI) to detect anomalies in the process industry and assess their
business relevance. This gives companies new opportunities for the economical
optimization of their processes. The app analyzes process events that affect
parameters such as productivity, availability, and quality, and alerts the
plant operator to any anomalies. These events and anomalies are no longer
simply identified, but also scrutinized for their business relevance—an
assessment which was previously only possible based on previous experience.
To enable
the AI to detect and evaluate business-relevant anomalies, the machine-learning
algorithms are trained on the basis of process data and then concentrated to
determine which anomalies have an impact on the economic efficiency of the
plant. The plant operator themself then defines the further focus of the AI using
the app dashboard, where anomalies can be selected, evaluated and commented. This
evaluation phase is accompanied by several feedback loops, so that the plant
operator ends up with well-trained, focused AI that is able to evaluate
anomalies, based on the process data, for their business relevance. The AI
Anomaly Assistant app is installed either as a cloud application or within the
user's own infrastructure, for example on a Simatic Box PC or a virtual
machine. The cloud-based solution is particularly advantageous during the
training and evaluation phase, since it supports efficient collaboration
between data analysts and plant operators. In addition, it also allows the
results of anomaly detection to be combined with other services, such as
predictive asset management, as part of the Asset Performance Suite (APS).
Siemens today announced that InoBat Auto, an innovative R&D and battery cell manufacturer for electric mobility, has selected Siemens’ electrical, automation, and digital technology portfolio to digitalize its entire value chain for electric vehicle battery production. Siemens is a leader in automation, industrial software and intelligent infrastructure using Siemens’ technologies and domain expertise, InoBat can take advantage of flexible, transparent, and efficient processes across all fields of production, help create lasting success in battery production and speed up time to market. InoBat can use Siemens’ solutions to develop a holistic digital factory approach in all its R&D and Gigafactory facilities.
- Siemens to acquire Supplyframe, a leading and fast-growing
marketplace for the global electronics value chain
- Combining Supplyframe’s knowhow with Siemens’ leading software
enables customers to innovate and develop products faster
- Supplyframe to be the nucleus of Siemens’ digital marketplace
strategy
- Closing of transaction expected in fourth quarter of fiscal year
2021
Siemens has signed an agreement to acquire
Supplyframe, a leading Design-to-Source platform for the global electronics
value chain, for USD 0.7 billion. The transaction unlocks significant value for
customers of Supplyframe and Siemens, providing seamless and quick access to
both Siemens’ offerings and Supplyframe’s marketplace intelligence. This will
help customers to reduce costs, increase agility and make highly informed
decisions. The acquisition also strengthens the Siemens portfolio through
Software as a Service (SaaS) – not only in the field of Electronic Design
Automation (EDA) and Printed Circuit Boards (PCB), but also scaling into other
domains and technology fields.
- Automated bearing diagnostics to enable informed maintenance decisions
- Integration of the bearing condition’s analysis into overall motor health status
- Scalable through integration with IIoT platform Sidrive IQ
Siemens and the
automotive and industrial supplier Schaeffler cooperate on intelligent
diagnostics for drive systems. Through this collaboration Siemens combines its
IIoT platform Sidrive IQ with Schaeffler’s decades of experience and
expertise in designing, manufacturing, and servicing bearings. Sidrive IQ
integrates a number of functionalities into one seamless solution and augments
drive systems with AI-based analytics and digital content.
- Dr. Dirk Didascalou to become new Chief Technology Officer of Siemens Digital Industries, effective September 1, 2021
- Dr. Didascalou joins Siemens AG from Amazon Web Services and has a strong track record in areas such as R&D, IoT, cloud and mobile computing
Effective September 1, 2021, Dr. Dirk
Didascalou will become Chief Technology Officer (CTO) of Siemens Digital
Industries (DI).
- The new cooperation aims to enable the scaled deployment of AI-based solutions for industrial manufacturing.
- Google Cloud and Siemens simplify the deployment of artificial
intelligence to the shopfloor, empowering employees and improving overall
quality.
Google Cloud and Siemens, an innovation and technology leader
in industrial automation and software, today announced a new cooperation to
optimize factory processes and improve productivity on the shop floor. Siemens intends
to integrate Google Cloud’s leading data cloud and artificial intelligence/machine
learning (AI/ML) technologies with its factory automation solutions to help
manufacturers innovate for the future.