- 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.
- Plug & play solution comprising Simatic ET 200SP TM ECC PL ST and TM ECC CCS calibration kit for convenient charge controller calibration
- Reduced engineering effort and simplified commissioning of DC fast charging systems for electric vehicles
- Stable charging process and up to 50 percent less servicing required to remedy charging interruptions
Siemens offers charging system suppliers a new plug & play solution, which for the first time enables calibration of the Powerline signal level in line with CCS (Combined Charging System) CharIN Association Implementation Guidelines for the conductive charging of electric vehicles. The solution comprises the Simatic ET 200SP TM ECC PL ST charge controller and the TM ECC CCS calibration kit. When calibrating the signal quality of a DC CCS charge controller using the Siemens solution, there is no need for a spectrum analyzer, which makes the process quicker and easier. Manufacturers of charging stations can also save engineering effort as well as time and costs during commissioning and can reduce servicing to remedy charging interruptions by up to 50 percent. Engineering is in the TIA (Totally Integrated Automation) Portal.
- „Infinite opportunities from infinite data“ is this year's trade fair motto
- Leveraging the full potential of data from merging the virtual and physical worlds
- "Digitalization knows no end"
- Expansion of the portfolio for edge computing in industry
Under the motto "Infinite opportunities from infinite data", Siemens is demonstrating at the "Digital Enterprise Virtual Experience" at Hannover Messe 2021 how the merging of the physical and virtual worlds enables industrial enterprises to act flexibly and sustainably, as they are facing huge challenges: The Covid 19 pandemic has changed markets and requirements almost overnight. Added to this are the growing individualization and the urgent need for more sustainability. This can only be mastered with the help of digitalization and automation. Siemens brings together the data generated in this process in a continuous cycle between the virtual and physical worlds. This enables companies to better understand and use data. Traditional silos between previously separate industrial domains are breaking down and new opportunities for sustainable and flexible production are being created. This enables employees in industrial enterprises to make appropriate decisions based on data or, for example, to react a lot faster to changes such as suddenly increased resource consumption.
In line with the motto "Infinite opportunities from infinite
data", Siemens will be demonstrating at the Digital Enterprise Virtual
Experience how industrial companies can master the rapidly changing challenges
of our time with the help of digitization, automation and intelligent use of
the resulting data. With the Hannover Messe 2021 Digital Edition, the leading
trade fair for the manufacturing industry, energy sector and logistics will
take place completely virtually from April 12 to 16. Siemens is participating
with its own virtual presentation at the trade fair. In an almost real 3D
environment, participants can virtually experience products, solutions and
concrete application examples.
Register here:
www.siemens.com/VE-Registration