Siemens holds a total of more than 65, patents. The company's employees submitted around 3, patent applications and 7, invention disclosure reports worldwide in fiscal Based on workdays a year, this represents an average of about 33 inventions per day. For this press release PDF Download.
Siemens AG Berlin and Munich is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than years. The company is active around the globe, focusing on the areas of electrification, automation and digitalization. One of the largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of efficient power generation and power transmission solutions and a pioneer in infrastructure solutions as well as automation, drive and software solutions for industry.
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Siemens leads Germany in European patent applications Second place in the European Patent Office's application rankings for About 19 percent more applications filed in Europe than in the prior year 7, inventions worldwide in fiscal — 34 inventions per day. In addition, among companies worldwide that filed European patent applications in , Siemens advanced from sixth to second place, after the Chinese company Huawei, which was ranked No.
In , Siemens filed patent applications in Europe for 2, inventions — about 19 percent more than in the previous year, representing a greater increase than was achieved by any other company among the top ten. Second place in the European Patent Office's application rankings for About 19 percent more applications filed in Europe than in the prior year 7, inventions worldwide in fiscal — 34 inventions per day.
Above all, digitalization and the importance of the service business are making broader coverage necessary. Siemens holds a total of more than 65, patents. Based on workdays a year, this is an average of about 33 inventions per day. Robotics and Automation News was established in May, , and is now one of the most widely-read websites in its category. Please consider supporting us by becoming a paying subscriber, or through advertising and sponsorships, or by purchasing products and services through our shop — or a combination of all of the above.
The IoT is growing at a tremendous rate, and billions of devices are already connected. This creates fascinating opportunities for transparency, new services, and innovative business models. Beyond the public domain, this development has enormous potential for the industrial sector. So the IoT paradigm needs to be amended with industrial-grade properties like real-time capabilities, and safety and security features for industrial applications. All IIoT devices and systems must be connected seamlessly from the sensor level to enterprise platforms and clouds.
Semantic technologies and industrial communication standards come into play to ensure easy integration and interoperability. The connectivity technology spectrum ranges from mobile communication like industrial 5G to advanced local network technologies like time-sensitive networking TSN. Factories, traffic networks, and utility grids are more complex than connected light bulbs and fitness trackers.
Systems in these domains typically consist of interacting devices that require supervision and management. They may be critical infrastructures whose failure can have enormous economic implications and even endanger people. Digitalization in these areas means real-time insight, fast data analysis, and intelligent decisions that are highly performant, near-instantaneous, and close to the process. Edge computing is the answer to resolving these challenges.
Computing power can be allocated and managed across all levels. Updates, configurations, and changes are made during runtime, saving costs and engineering efforts.
Whole industrial verticals will streamline their processes with IIoT technologies and embrace the advantages of flexibility, time to market, and cost reduction. Future industrial environments feature autonomous machines, modular production equipment, and collaborating self-aware systems. In the digital age, Cybersecurity and Trust technologies are a prerequisite for organizations to safeguard their critical infrastructure, protect sensitive information, ensure business continuity, and enable new services and business models that extend beyond traditional trust boundaries.
We create value for our customers by offering products and solutions that meet the most demanding security requirements, standards, and regulations. They ensure the integrity and availability of critical infrastructures by offering protection from industrial espionage and denial of service attacks. Trust technology allows information to be verified and value to be exchanged without having to rely on a third-party authority.
Cryptographic systems and consensus protocols ensure that shared data is only modified by agreement and that the recorded history of transactions is impenetrable. This multi-party business logic may be executed on top of a blockchain system. Artificial intelligence AI comprises a set of programming techniques that was inspired by natural learning. Examples include reading and interpreting text, driving cars, recognizing images, and controlling industrial machines.
Data analytics in particular has become very important for Siemens, because digitalization and IoT environments generate huge volumes of data that no human could ever fully analyze and interpret — but AI is up to the task and therefore allows us to get the most from our data learn more.
More sophisticated AI techniques like deep learning and reinforcement learning have also developed into the cornerstones of industrial AI. They enable programs and machines to find solutions by themselves, which offers a new universe of possibilities for autonomous or collaborative machines learn more.
Siemens has been working in the areas of data analytics and AI for over 30 years and has a proven track record of generating business by successfully applying AI in a variety of industrial contexts. Power electronics make electric power available at any time, at any place, and in an application-appropriate form.
Power electronics are everywhere Power electronics efficiently convert, switch, and control electric power wherever electricity is generated, transmitted, distributed, and consumed. New applications like renewable sources of electric power, electric cars and e-charging, battery storage, DC infrastructure, and autonomous robotics are the mass markets for industrial power electronics. In many cases, the requirements for their performance, functionality, sustainability, serviceability, costs, installation space, and weight are constantly increasing and the innovation cycle time is decreasing.
Industrial applications, smart grids, building infrastructure, and rail-based mobility are all examples of highly attractive markets where power electronics play a central role. Many new technologies and novel business concepts have emerged in recent years, from wide band-gap power semiconductors to IoT and smart services. A digital twin is a virtual representation of a physical object and so offers a way to integrate real-world objects into the digital world. The Siemens approach to the digital twin covers the entire lifecycle of assets, from their design and production to operation, servicing, and maintenance.
We build digital twins for products like trains, machines, and aircrafts and for complex systems like buildings, chemical plants, and electricity grids. A digital twin integrates all data, simulation models, and other information from a physical object generated during engineering, commissioning, operation, and service and are provided to designers, engineers, operators, and service technicians across vertical domains. The core component of many digital twins is a simulation model that implements the behavior of the simulated object.
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