Twin Deutsch Synonyme für "twin"
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Übersetzung im Kontext von „my twin“ in Englisch-Deutsch von Reverso Context: my twin brother. Übersetzung Englisch-Deutsch für twins im PONS Online-Wörterbuch nachschlagen! Gratis Vokabeltrainer, Verbtabellen, Aussprachefunktion. Übersetzung für 'twin' im kostenlosen Englisch-Deutsch Wörterbuch von LANGENSCHEIDT – mit Beispielen, Synonymen und Aussprache.
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Challenge your wit, explore stunning locations and meet striking characters. Do your best to find your father and decode the enigmas of the Twin Moons!
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Download for Google Play. A digital twin also integrates historical data from past machine usage to factor into its digital model.
In various industrial sectors, twins are being used to optimize the operation and maintenance of physical assets, systems and manufacturing processes.
Digital twins were anticipated by David Gelernter 's book Mirror Worlds. The concept and model of the digital twin was publicly introduced in by Grieves, then of the University of Michigan , at a Society of Manufacturing Engineers conference in Troy, Michigan.
The concept was divided into types later . The DTP consists of the designs, analyses, and processes to realize a physical product. The DTP exists before there is a physical product.
The DTI is the digital twin of each individual instance of the product once it is manufactured. The DTA is the aggregation of DTIs whose data and information can be used for interrogation about the physical product, prognostics, and learning.
The specific information contained in the digital twins is driven by use cases. The digital twin is a logical construct, meaning that the actual data and information may be contained in other applications.
A digital twin in the workplace is often considered part of robotic process automation RPA and, per industry-analyst firm Gartner, is part of the broader and emerging "hyperautomation" category.
An example of how digital twins are used to optimize machines is with the maintenance of power generation equipment such as power generation turbines, jet engines and locomotives.
Another example of digital twins is the use of 3D modeling to create digital companions for the physical objects. A digital twin also can be used for monitoring , diagnostics and prognostics to optimize asset performance and utilization.
In this field, sensory data can be combined with historical data, human expertise and fleet and simulation learning to improve the outcome of prognostics.
Digital twins of autonomous vehicles and their sensor suite embedded in a traffic and environment simulation have also been proposed as a means to overcome the significant development, testing and validation challenges for the automotive application,  in particular when the related algorithms are based on artificial intelligence approaches that require extensive training data and validation data sets.
The physical manufacturing objects are virtualized and represented as digital twin models avatars seamlessly and closely integrated in both the physical and cyber spaces.
The digital twin is disrupting the entire product lifecycle management PLM , from manufacturing to service and operations. A digital twin can merge the product physical and virtual space.
In the manufacturing process, the digital twin is like a virtual replica of the near-time occurrences in the factory.
Thousands of sensors are being placed throughout the physical manufacturing process, all collecting data from different dimensions, such as environmental conditions, behavioural characteristics of the machine and work that is being performed.
All this data is continuously communicating and collected by the digital twin. Due to the Internet of Things, digital twins have become more affordable and could drive the future of the manufacturing industry.
A benefit for engineers lays in real-world usage of products that are virtually being designed by the digital twin. Advanced ways of product and asset maintenance and management come within reach as there is a digital twin of the real 'thing' with real-time capabilities.
Digital twins offer a great amount of business potential by predicting the future instead of analyzing the past of the manufacturing process.
This starts with modularity and leading to higher effectiveness in the production system. Furthermore, autonomy enables the production system to respond to unexpected events in an efficient and intelligent way.
Lastly, connectivity like the Internet of Things, makes the closing of the digitalization loop possible, by then allowing the following cycle of product design and promotion to be optimized for higher performance.
Several firms — including General Electric , Arctic Wind, and Mechanical Solutions — are investing in digital twins to increase effectiveness.
General Electric has a system based on digital twins and uses this software to administer and analyze data from wind turbines , oil rigs and aircraft they produce.
The data is transferred to a data centre, where it generates a real-time digital twin of each engine. In this way, General Electric is able to detect potential defects or faults already during the flight.
So, if a part of the engine is causing a fault, the personnel that is responsible for maintenance can have the replacement part ready at the airport where the aircraft will land.
Arctic Wind, a firm that owns and operates multiple wind power plants in Norway, wanted a solution to keep track of the health of their wind turbines they produce.
These turbines are costly, and all parts require constant monitoring. The maintenance of these turbines is challenging because of long periods of darkness and low temperatures.
To find a solution against the elements, they have installed sensors on all their wind turbines and the data that comes from these sensors is transported over 1, miles away to the office.
This provides the digital twin real-time data of the wind turbines, therefore employees are able to visualize any problems as they happen.
In addition, the digital twin provides the firm with future prognoses, so they can run simulations of how the turbines will perform under different extreme circumstances.
In this way, Arctic Wind knows if they have to shut down operations during an extreme storm or not. Mechanical Solutions Inc. This software enables product development organizations to make use of a digital twin.
MSI successfully implemented this software in their process chain as a troubleshooting and design tool. This enabled the cost-efficient engineering process to solve very complex problems, they could not have solved without the digital twin.
Remembering that a definition of digital twin is a real time digital replica of a physical device, manufacturers are embedding digital twin in their device.
Proven advantages are improved quality, earlier fault detection and better feedback on product usage to product designer.
Geographic digital twins have been popularised in urban planning practice, given the increasing appetite for digital technology in the Smart Cities movement.
These digital twins are often proposed in the form of interactive platforms to capture and display real-time 3D and 4D spatial data in order to model urban environments cities and the data feeds within them.
Visualisation technologies such as augmented reality AR systems are being used as both collaborative tools for design and planning in the built environment integrating data feeds from embedded sensors in cities and API services to form digital twins.
For example, AR can be used to create augmented reality maps, buildings and data feeds projected onto tabletops for collaborative viewing by built environment professionals.
In the built environment, partly through the adoption of building information modeling processes, planning, design, construction, and operation and maintenance activities are increasingly being digitised, and digital twins of built assets are seen as a logical extension - at an individual asset level and at a national level.
In the United Kingdom in November , for example, the Centre for Digital Built Britain published The Gemini Principles ,  outlining principles to guide development of a "national digital twin".
Healthcare is recognized as an industry being disrupted by the digital twin technology. This can ultimately lead to a virtual patient, with detailed description of the healthy state of an individual patient and not only on previous records.
Furthermore, the digital twin enables individual's records to be compared to the population in order to easier find patterns with great detail.
Digital twins will not only lead to better resolutions when defining the health of an individual patient but also change the expected image of a healthy patient.
Previously, 'healthy' was seen as the absence of disease indications. Now, 'healthy' patients can be compared to the rest of the population in order to really define healthy.
The digital twin may lead to inequality, as the technology might not be accessible for everyone by widening the gap between the rich and poor.
Furthermore, the digital twin will identify patterns in a population which may lead to discrimination. Looking more specifically on a firm-level, several incumbent firms are investing and developing healthcare solution with the digital twin.
For example, Philips has explored the idea of a digital version of the patient so that patients can use a digital twin to better act in a preventive way instead of a reactive way.
By making use of artificial intelligence, doctors can make more precise diagnoses. Developing a digital twin is a considerable investment.
However, by making use of a cloud-based platform and a modular organization, it may also be possible for smaller organizations to contribute to a certain module.
This treatment allows prediction of deployment of medical devices. Another industry that has been disrupted by digital twin technology is the automobile industry.
Digital twins in the automobile industry are implemented by using existing data in order to facilitate processes and reduce marginal costs.
Currently, automobile designers expand the existing physical materiality by incorporating software-based digital abilities.
In doing so, they can suggest incorporating new features in the car that can reduce car accidents on the road, which was previously not possible in such a short time frame.
One of the incumbent automobile firms that is incorporating digital twin technology in their business processes is Volkswagen. The use of this technology, which they refer to as a "virtual twin", has allowed Volkswagen to create digital 3D prototypes of their different car models, such as the Golf.
The digital twins support the production process and development of the cars, by providing all employees worldwide with detailed and real-time data of the model.
Leingang, one of the leaders of the virtual prototype team, describes how the implementation of digital twins helps Volkswagen to optimize their product lifecycle management.
This is because the 'digital twin' lets our colleagues know early on what exactly needs to be done when mounting a particular component. Here they make use of the Microsoft HoloLens , which enables engineers and designers to view and modify digital twins, assisted by other technologies such as gesture control and voice commands.
Unlike incumbents in the automobile industry that have been wrapping digital technologies around their traditional products in the last couple of years, relatively new player Tesla, Inc.
Comparing the strategies of these two well-known automotive firms, it seems that Volkswagen has implemented digital twin technology as an offensive reaction to Tesla's innovative approach to the automotive industry.
By transitioning to the new technology, Volkswagen has framed this challenge as an opportunity by creating a new, specialised department for virtual prototyping rather than fleeing to either a new market or a niche.
Digital technologies have certain characteristics that distinguish them from other technologies. These characteristics, in turn, have certain consequences.
Digital twins have the following characteristics. One of the main characteristics of digital twin technology is its connectivity.
The recent development of the Internet of Things IoT brings forward numerous new technologies. The development of IoT also brings forward the development of digital twin technology.
This technology shows many characteristics that have similarities with the character of the IoT, namely its connective nature.
First and foremost, the technology enables connectivity between the physical component and its digital counterpart. The basis of digital twins is based on this connection, without it, digital twin technology would not exist.
As described in the previous section, this connectivity is created by sensors on the physical product which obtain data and integrate and communicate this data through various integration technologies.
Digital twin technology enables increased connectivity between organizations, products, and customers. These partners can then check the status of this product by simply checking the digital twin.
Servitization is the process of organizations that are adding value to their core corporate offerings through services.
Digital twins can be further characterized as a digital technology that is both the consequence and an enabler of the homogenization of data.
Due to the fact that any type of information or content can now be stored and transmitted in the same digital form, it can be used to create a virtual representation of the product in the form of a digital twin , thus decoupling the information from its physical form.
However, digital twins also enable increasingly more information on physical products to be stored digitally and become decoupled from the product itself.
As data is increasingly digitized, it can be transmitted, stored and computed in fast and low-cost ways. This would, therefore, lead to lower marginal costs of developing digital twins and make it comparatively much cheaper to test, predict, and solve problems on virtual representations rather than testing on physical models and waiting for physical products to break before intervening.
Another consequence of the homogenization and decoupling of information is that the user experience converges.