- Charging technology for 37 new electric buses installed at West London depot
- Fully electric-enabled bus garage incorporates power infrastructure, maintenance and charging facilities
- Supplying 11 megawatt hours to 37 double-decker buses daily
In partnership with Tower Transit, a bus operator in London and part of
the SeaLink Travel Group, Siemens Smart Infrastructure provided the charging
infrastructure for 37 new fully-electric double decker buses in London.
Westbourne Park garage, on the Great Western Road, is the operator’s first
depot in London incorporating fully electric routes with power infrastructure,
maintenance and charging facilities. Bus routes 23 and C3 operate from the
Westbourne Park site, with the first few Optare Metrodecker zero-emission
double-deckers already in operation, the remaining fleet is expected to be in
service in the next months.
- DS3: ÖBB and Siemens Mobility put the first digital interlocking architecture into operation in Achau, Austria
- Digitalisation generates major economic benefits for infrastructure operators
- First approval of a digital SIL4 interlocking based on COTS hardware
Together with Siemens Mobility, ÖBB-Infrastruktur AG has put a completely new digitalisation solution in the field of safety and security technology into operation at the train station in Achau, Austria: The “Distributed Smart Safe System” (DS3) is an innovative digitalisation solution and the basis for cloud-enabled interlocking (“Interlocking in the Cloud”).
- Siemens and Merck announce project partnership
- Cooperation will drive forward modular production (Plug&Produce) based on the MTP and POL standard
- Quick adaptation to process requirements with little effort
- A one stop solution with hardware and software components from Siemens
Siemens and science and technology company Merck will work together in future at Merck's headquarters in Darmstadt to develop a technical backbone for the modular production of the future. The aim is to create a production line that flexibly combines various individual process modules and to use Modular Type Packaging (MTP) and Process Orchestration Layer (POL) technology to drastically reduce engineering effort. At the same time, it should be possible to adapt quickly to process requirements. With its integrated product range covering all production levels (field to MES), Siemens is able to provide all the necessary hardware and software components from its own product portfolio.
- Early detection of anomalies in the drivetrain with the support of artificial intelligence
- Trend Prediction for optimized maintenance efficiency
- Higher productivity and reduced machine and system downtime
Siemens has supplemented the Mindsphere application Predictive Service Assistance with an AI-based module. The new Artificial Intelligence module identifies concrete fault patterns in motors at an early stage, such as misalignment or a defective bearing. The application thus helps users to reduce downtimes and further improve spare parts and maintenance processes. The new Artificial Intelligence module for motors uses a neural network to solve what was previously implemented using a defined KPI limit value. This enables the module to detect anomalies even before the defined limit value and provides clear indications of the type and severity of faults and their development. As soon as the application detects signs of an error, it warns the user and generates a due date that indicates when the error should ideally be corrected and what corrective action is recommended to prevent an unplanned downtime. Predictive Service Assistance with the new AI-based Artificial Intelligence module is offered as part of a Predictive Service Assessment. The package includes a customized configuration service that ensures that the Mindsphere application with the new AI-based module runs optimally according to the customer's requirements.
- Grid edge estimated to be crucial to tackle the energy transition
- Assessment of grid edge readiness and need for 36 countries worldwide
- Results provide valuable insights for governments and industries alike
In the effort to mitigate climate change, global energy markets are changing for good. Energy generation is increasingly relying on renewables, and formerly passive consumers are becoming active prosumers. For this energy turnaround to succeed, the grid edge – the interface between energy supply and energy demand – is more important than ever. Grid edge technologies are crucial to support the energy transformation. They encompass a wide range of technologies, from electric vehicles to heat pumps, solar panels, and smart meters to apps which allow remote control of appliances.
- Industrial Edge V1.0 comprising the Edge Management system, edge apps, and edge devices with container-based runtime
- Edge Management system provides central management for edge devices and apps over the entire lifecycle
- Apps that increase productivity can be integrated into industrial environments quickly, with little effort and minimal risk
expanding its offer for industrial IoT solutions, adding to its Industrial Edge
portfolio a central and company-wide scalable infrastructure for managing
connected edge devices and apps. With the new Industrial Edge Management
system, users can remotely monitor the status of every connected device and
remotely install edge apps and software functions on distributed edge devices.
In combination with existing hardware and software products, this Industrial
Edge V1.0 open platform provides users with a ready-to-use and seamless
solution for data processing on the production level with integrated device and
app lifecycle management.
- Research projects with volume of €1.7 million and term of 30 months
- Studies of highest automation levels in regional and mainline transport
- Important impetus for digitizing railways
Siemens Mobility and prominent partners have won two innovative research projects from the German Center for Rail Traffic Research (DZSF) to study the safety of automated rail operations. The aim is to define the criteria needed for approving fully automated regional and mainline rail service. The two projects will be funded with €1.7 million and are scheduled to run for 30 months.
- High-frequency data exchange between Sinamics drives and the Industrial Edge platform
- Drive System Framework for connectivity, management, and configuration of the Digital Twin
- Paving the way for new business models
As part of
the Digital Enterprise SPS Dialog, Siemens is launching Analyze MyDrives Edge,
its first edge application for drives. The company is thus demonstrating in
concrete terms how edge computing can make Sinamics drive systems even more
intelligent and what benefits users and machine builders can derive from it.
Analyze MyDrives Edge is being launched with basic functionalities similar to
the proven Mindsphere application Analyze MyDrives but will be enhanced with
intelligent features based on high-frequency data exchange. The Edge
application thus allows users of machines and industry applications to perform
complex analyses of data that is already collected in the drive. Machine
learning and AI algorithms on which the edge application is based identify
patterns and detect anomalies and their causes, thus providing timely
indications of any pending machine maintenance. This minimizes downtimes and
reduces the consumption of resources.
(DB) and Siemens Mobility are driving forward the climate-friendly transition
in transport and are testing the use of hydrogen for rail for the first time.
The aim is to test a completely new overall system consisting of a newly
developed train and a newly designed filling station.
- TIA Selection Tool enables mechanical, electrical and automation planning on a single platform
- Complete standards know-how for electrical planning integrated in one software program
- Time-saving dimensioning of protection and switching devices, including essential design calculations
With “Control Panel Design” Siemens Smart
Infrastructure has integrated new electrical planning features into TIA
Selection Tool, the Siemens configuration and ordering software. This makes
electrical pre-planning completely digital. Now, electrical planners can design
and dimension the main electrical components of a machine quickly, easily, and
in accordance with IEC and UL standards. This reduces the required effort to
perform the task, minimizes potential error sources, and helps machine and
control panel builders improve their competitiveness. TIA Selection Tool is
designed to make it easy and convenient to configure and select all components
of industrial control panels. By integrating the new features, the tool allows
users to design electrical as well as mechanical and automation components
using one set of data and one platform. This lays the foundation for
significantly more efficient development processes, faster lead times, and
smarter electrification solutions for industrial environments.