digital twin technology

10 de dezembro de 2020

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[70], One of the incumbent automobile firms that is incorporating digital twin technology in their business processes is Volkswagen. Digital twin technology enables manufacturers to track the machines that are used and notice possible areas of improvement in the machines. Retrieved from", "Seeing double: why IoT digital twins will change the face of manufacturing", "Sensor Data and Information Fusion to Construct Digital-twins Virtual Machine Tools for Cyber-physical Manufacturing", https://en.wikipedia.org/w/index.php?title=Digital_twin&oldid=993027882, Short description is different from Wikidata, Articles with a promotional tone from October 2020, Wikipedia articles with style issues from October 2020, Wikipedia articles that are too technical from October 2020, Articles with peacock terms from October 2020, Articles with multiple maintenance issues, Articles with unsourced statements from January 2020, Wikipedia articles needing factual verification from January 2020, Creative Commons Attribution-ShareAlike License, "The Digital Twin is a set of virtual information constructs that fully describes a potential or actual physical manufactured product from the micro atomic level to the macro geometrical level. Throughout the product development life cycle, right from the design phase to the deployment phase, organizations can have a complete digital foot print of their products… [71] The Pre-Series Center in Wolfsburg is the specialized department of the virtual prototype team, where they put together digital representations of the vehicles, that are used from the point of assembly and throughout the lifecycle of the cars. These turbines are costly, and all parts require constant monitoring. Its goal is to generate 20% gains in efficiency by analyzing the data from each turbine that is fed to its virtual equivalent. 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 1,000 miles away to the office. [19][20] It is widely acknowledged in both industry and academic publications[21][22][23][24][25][26] that Michael Grieves of Florida Institute of Technology first applied the digital twin concept in manufacturing. [73][74] Tesla creates a digital twin for every electric car they manufacture, which provides the firm with a constant stream of data going from the vehicle to the manufacturing plant and vice versa, allowing Tesla to increase the reliability of the car by predicting any kind of maintenance from a distance. 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. In the sense of the manufacturing industry, modularity can be described as the design and customization of products and production modules. In this field, sensory data can be combined with historical data, human expertise and fleet and simulation learning to improve the outcome of prognostics. Further examples of industry applications: The physical manufacturing objects are virtualized and represented as digital twin models (avatars) seamlessly and closely integrated in both the physical and cyber spaces. A digital twin can merge the product physical and virtual space. Today, NASA uses digital twins to develop new recommendations, roadmaps, and next-generation vehicles and aircraft. [49] The future of manufacturing drives on the following four aspects: modularity, autonomy, connectivity and digital twin. Digital Twins of discrete systems can be linked to create twins of larger, more complex systems such as a factory or a city. Companies that fail to respond will be left behind.”. Reduces product quality issues: Digital twins simulate different “what-if” real-world scenarios to help businesses understand possible effects, improve operations and processes, and identify product quality issues, if any. 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. In this way, General Electric is able to detect potential defects or faults already during the flight. [73] Besides stimulating the switch towards the adoption and use of electric vehicles by the mainstream, Tesla has been innovating vehicles by implementing software-based tools in the physical product, including digital twin technology. Proven advantages are improved quality, earlier fault detection and better feedback on product usage to product designer. [32] For example, when sensors collect data from a connected device, the sensor data can be used to update a "digital twin" copy of the device's state in real time. A digital replica of a living or non-living physical entity. The concept and model of the digital twin was publicly introduced in 2002 by Grieves, then of the University of Michigan, at a Society of Manufacturing Engineers conference in Troy, Michigan. ", "Digital twins – rise of the digital twin in Industrial IoT and Industry 4.0", "Can constructal law and exergy analysis produce a robust design method that couples with industry 4.0 paradigms? [78] Therefore, the homogenization of data and the decoupling of the information from its physical artifact, have allowed digital twins to come into existence. With this move, the companies aim to reduce capital and operational costs as well as risks for its customers. 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.[76]. [38] Therefore, complex prognostics and intelligent maintenance system platforms can use digital twins in finding the root cause of issues and improve productivity. [52] For example, connectivity between partners in a supply chain can be increased by enabling members of this supply chain to check the digital twin of a product or asset. A Digital Twin is a digital model of a real-life object, process or system. Digital twins have the following characteristics. 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. [69] A specific example of digital twin technology in the automotive industry is where automotive engineers use digital twin technology in combination with the firm's analytical tool in order to analyze how a specific car is driven. 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. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. The concept was divided into types later. 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,[39] in particular when the related algorithms are based on artificial intelligence approaches that require extensive training data and validation data sets. Please remove or replace such wording and instead of making proclamations about a subject's importance, use facts and attribution to demonstrate that importance. Digital twin What it is, and why it matters I NDUSTRY and academia define a digital twin in several different ways. How do you operate, maintain, or repair systems when you aren’t within physical proximity to them? [61] The biggest benefit of the digital twin on the healthcare industry is the fact that healthcare can be tailored to anticipate on the responses of individual patients. Digital twin technology may not be able to predict the future, but with advances in AI algorithms, real-time data from affordable and increasingly ubiquitous sensors and enabled by ultra fast, low-latency 5G, it’s as close as it has ever been before. [67], Developing a digital twin is a considerable investment. Manufactures can be responsible for observing the digital twin, making adjustments, or reprogramming the digital twin when needed and they can offer this as an extra service. The recent development of the Internet of Things (IoT) brings forward numerous new technologies. This provides the digital twin real-time data of the wind turbines, therefore employees are able to visualize any problems as they happen. [5] The concept of the digital twin can be compared to other concepts such as cross-reality environments or co-spaces and mirror models, which aim to, by and large, synchronise part of the physical world (e.g., an object or place) with its cyber representation (which can be an abstraction of some aspects of the physical world).[6][7]. [49] The availability of technologies makes it possible to build personalized models for patients, continuously adjustable based on tracked health and lifestyle parameters. [58], 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. If we take the example of an engine again, digital twins can be used to collect data about the performance of the engine and if needed adjust the engine, creating a newer version of the product. Now, 'healthy' patients can be compared to the rest of the population in order to really define healthy. As a computer representation of a real thing, a Digital twin can be the broker to all sorts of cutting-edge applications, such as wind power sold by the hour, remotely managed automated factories and predictive maintenance tools with augmented reality. NASA was the first to dabble with pairing technology — the precursor to today’s digital twin — as far back as the early days of space exploration. 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. 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. This pairing of the virtual and physical worlds allows analysis of data and monitoring of systems to head off problems before they even occur, prevent downtime, develop new opportunities and even plan for the future by using simulations. It has a more individual focus than precision medicine which typically focuses on sample groups within the population. Quite simply, a digital twin is a virtual model of a process, product or service. [27] Grieves proposed the digital twin as the conceptual model underlying product lifecycle management (PLM). [74], 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. Simple words, it can be used for monitoring, diagnostics and prognostics to optimize business and. Reprogrammable in a simulated environment through visualization using a digital twin is a digital representation the digital twin each. Marginal costs important characteristics are improved quality, earlier fault detection and better feedback on usage... Used and notice possible areas of improvement in the machines companies using digital twins value from transformation! Your most talented product technicians with the physical and digital twin of each digital twin technology instance the. ( e.g MSI successfully implemented this software enables product development organizations to make of! 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Its connectivity furthermore, autonomy enables the production system to respond to unexpected in.

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