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<\/p>\nPicture having the ability to digitally replicate any physical object, process, system, or environment. This is precisely what digital twin applications offer. They emerge as a potent tool for thriving in times of economic uncertainty, where businesses must innovate without the heavy burden of research and development costs to stay competitive.<\/p>\n
These applications leverage IoT sensors, machine learning, cloud computing, mobility, and more to provide real-time insights into the state of your physical assets. Think about being able to predict the outcome of changes before you make them, avoiding costly disruptions to your operations.<\/p>\n
Digital twin use cases span industries from aerospace and automotive to retail and energy, construction and logistics, healthcare, and insurance. Let’s explore the practical use of digital twins, helping businesses meet cost-efficiency and rise above the challenges of today’s economy.<\/p>\n
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NASA and Boeing are two prime examples that use the applications of digital twin. NASA has been twinning since the Apollo missions in the 1960s, where the engineers in the control center in Houston had a complete copy of the spacecraft at their disposal and could test any alterations on this twin model before advising the crew in flight.<\/p>\n
John Wickers, a NASA executive and engineer, introduced the term \u201cdigital twin\u201d back in 2010. At the time, the technology was immature, but the recent proliferation of ML\/AI, IoT sensors, and cloud computing has made practical digital twin use cases possible.<\/p>\n
Boeing uses digital twinning for a variety of purposes:<\/p>\n
Complete Digital Twin Technology Guide<\/p>\n
According to Research and Markets survey<\/a> results, 75% of aerospace industry executives state they are in different stages of implementing digital twin technology in their operations.<\/p>\n A practical use case: Boeing has safety limitations for carrying no more than 79,000<\/a> kilograms of cargo on average in its 737-800 model. The Challenge Advisory<\/a> company decided to explore how much above the average this weight can go. Using digital twin technology, they were able to increase that limit by 23% safely \u2014 which is a huge deal for all airlines flying these vessels.<\/p>\n The same principle applies here \u2014 creating conceptual architecture designs using digital twin tools enables architects and engineers to thoroughly test and predict the performance of a real-world building before the first brick is laid. Most importantly, a digital twin application creates a collaborative environment where stakeholders can easily visualize their ideas and get real-time feedback so the whole team is on the same page.<\/p>\n IntelliTwin<\/p>\n After the building is constructed, the facility management begins, and this is where digital twins shine again. By continuously exchanging data with their physical twin, digital models can highlight any discrepancy in operations, thus simplifying maintenance and reducing the risk of costly outages or crashes.<\/p>\n An example is the urban architectural project \u2014 Suzhou Center<\/a>, where architects and developers harnessed digital twin innovation to simulate complex structural behavior, optimize energy usage, and monitor environmental factors. This resulted in a sustainable and visually stunning building.<\/p>\n Explore real-life digital technology applications across real estate, architecture design, and facility management<\/p>\n Similarly, digital twinning of vehicle parts and systems helps shorten the design cycle, speed up the development of new models, simplify driver and technician training, and ease maintenance. However, the key advantage of digital twins usage in the automotive industry lies in identifying and addressing potential issues before they arise, saving OEMs a ton of time and money.<\/p>\n Let\u2019s take a look at digital twin use cases in the automotive industry and how they help achieve this result:<\/p>\n Source: MDPI<\/a><\/em><\/p>\n These automotive use cases highlight a silent revolution in the automotive industry happening right now. Digital twins enable OEMs to simulate and emulate the car\u2019s behavior in different road conditions, form detailed response scenarios, and better train autonomous driving algorithms to minimize the risk of crashes on the road.<\/p>\n Intellias automotive case studies: from autonomous driving to design and marketing enablement<\/p>\n The advantages of this are so enormous that all major OEMs are racing to reap the benefits. BMW, Mercedes, Volvo, GE, and Toyota have heavily invested in integrating digital twinning into their workflows when creating electric and autonomous vehicles. As a result, the global value of the digital twin market is expected to grow from $9.5 Bn in 2022 to $72+ Bn in 2032<\/a>, growing at a CAGR of 22.5% annually, according to a Future Market Insights forecast. The automotive industry will account for at least 15% of the market share.<\/p>\n Before the introduction of digital twins, much of the BIM (building information modeling) data was inaccessible at construction sites. However, with digital twin applications in construction, it becomes accessible through any mobile device. This simplifies communication between the office and the construction site, allowing stakeholders to address design inconsistencies in real time, preventing costly rework.<\/p>\n All in all, combining digital twins with BIM and AR enables much safer and smoother construction, on top of promoting its sustainability<\/a> and reduces the need for costly reworks, as potential issues can be flagged and addressed promptly.<\/p>\n Running energy and utility facilities<\/a> becomes much easier with digital twins. As this infrastructure gets increasingly equipped with smart sensors, it provides a ton of insights to ensure data-driven decision-making, timely adjustments, and optimal resource allocation.<\/p>\n Here are some digital twins use cases in the energy industry:<\/p>\n Energy and utility companies using digital twins can have a shared, cohesive, and collaborative environment, simplifying the management of their physical assets. This brings us to the practical implementation<\/a> of the smart cities concept, which we will discuss below.<\/p>\n According to ABI Research, 500 digital urban twins<\/a> are expected to be operational by 2025. Every city planning to attract investments and ensure a sustainable future for its inhabitants will benefit significantly from digital twin technology implementation.<\/p>\n Technological impact of digital twins on the smart city concept <\/strong><\/p>\n Below are the most prominent use cases for infrastructure purposes and the smart city realm:<\/p>\n This transformative technology empowers city officials and policymakers to gain invaluable insights into traffic flow patterns, identify potential infrastructure bottlenecks, analyze population mobility trends, and much more.<\/p>\n Cloud Transportation Software for Routing and Smart City Planning<\/p>\n Much like businesses harness the benefits of digital twin technology applications across their operations, governments too can leverage its potential to enhance their various functions.<\/p>\n As previously explored in sections covering use cases for construction, architecture and design, infrastructure and smart city management, as well as the automotive industry, a digital twin use case finds application in both private and governmental realms, making processes more efficient and data-driven<\/p>\n However, it’s crucial to spotlight additional ways in which governments can harness the power of digital twins:<\/p>\n In Germany, as an illustration of the latter, government authorities<\/a> harness advanced surveying technologies such as LIDAR to analyze soil quality, examine flora conditions, and gauge the extent of agricultural activity or soil pollution.<\/p>\n In a nutshell, digital twins can help government agencies improve governance, deliver better public services, and enhance the quality of life for citizens.<\/p>\n Transform with expert eLearning solutions that are applied across sectors<\/p>\n The COVID-19 pandemic spurred luxury brands to transform their customer service. When brick-and-mortar branches were closed, online shopping remained the only option. Digital twinning enables the shopping experience on a whole other level \u2014 from live 3D configuration tools to virtual try-on experiences.<\/p>\n Redefine quality experience with Intellias real-life retail use cases<\/p>\n Luxury brands and retailers can benefit from digital twin tools through:<\/p>\n LVMH, a luxury conglomerate, used digital twins<\/a> to create a virtual try-on experience. By combining artificial vision and digital twins, customers could try on luxury apparel and accessories virtually, gaining confidence in their choices.<\/p>\n The digital twin applications in manufacturing are one of the prominent domains of digital twin implementation. As of now, 93% of industry leaders using AI in some form<\/a>. Given the significant investment in high-cost, high-yield machinery for production, the manufacturing sector greatly profits from transparent and projectable product design, predictive maintenance, shop floor efficiency optimization, robotics, and edge analytics.<\/p>\n Below are the most widespread use cases in manufacturing:<\/p>\n A prime example shows how Siemens achieves<\/a> higher precision, reduces costs, enhances quality, and provides more efficient power generation solutions to their customers by utilizing digital twins in gas turbine manufacturing.<\/p>\n Customizing digital twin models to suit each manufacturing facility’s<\/a> unique setup remains challenging. However, ongoing developments in machine learning and artificial intelligence enable more adaptable and automated model creation.<\/p>\n Delivering products and materials on time with minimal expense is the fundamental goal of logistics. Supply chain operators must deal with price volatility, route disruptions, stock distribution, and optimal warehouse usage while tracking their fleet and ensuring it is in peak operational condition.<\/p>\n Digital twins can help jump over these hurdles by:<\/p>\n Creating Supply Chain Digital Twin \u2013 Terms, Conditions, and Use Cases<\/p>\n The supply chain and logistics can benefit enormously from introducing digital twin technology separately. However, implementation as a part of a country-wide project and integration with smart city management projects can be even more beneficial.<\/p>\n Digital twins hold immense potential to transform patient care, research, and healthcare operations. Though still at its infancy, there are numerous use cases in healthcare when digital replicas can bring feasible breakthroughs on the way to safeguard humanity and prepare it for the next health crisis. As an example that showcases the fascinating use of technology replication of the immune system<\/a>, paving the way for enhanced understanding, addressing immune-dependent conditions, and expediting drug discovery. Let\u2019s directly explore several real-life healthcare use cases that harness the power of digital twins:<\/p>\n Find a way forward with healthcare technology solutions designed to improve health outcomes<\/p>\n Deeply intertwined with healthcare, this industry can also benefit immensely from digital twin technology. Modern-day insurers must operate huge data sets to offer personalized and value-added services to their clients. Digital twinning helps create personalized customer experiences based on data, not guesswork. Combining these with data from other sources \u2014 real estate, healthcare, education, etc. \u2014 can provide valuable insights into the financial position and potential risks for every patient.<\/p>\n Intellias expertise in building insurance platforms<\/p>\n Depending on the specific sector, such as health, property, car insurance, or business insurance, digital twin applications within the industry yield diverse advantages. To illustrate, major insurance players like State Farm are actively investing in digital twin startups<\/a> with a keen focus on telematics-based car insurance. This approach enables a more precise evaluation of driver behavior and the calculation of insurance premiums.<\/p>\n Planning and designing, building structures and housing, installing the energy and utility grids, and managing the completed facilities, as described above, also apply in the commercial and private real estate sector. Additionally, renovation upon purchase is a factor for personal preferences or businesses that want to repurpose a facility to suit their operational needs better.<\/p>\n Using digital twin technology in real estate means the needed information is at your fingertips, allowing you to show clients how the systems operate currently and what adjustments can be made to existing structures. Having a simple visualization of possibilities can be a decisive factor in sealing a deal.<\/p>\n For instance, companies like Johnson Controls and Willow have come together to integrate their smart building and digital twin solutions, facilitating the digitization of real estate properties and facilities. More information about the initiative is here<\/a>.<\/p>\n We are no newcomers to the digital twin field. Intellias has harnessed extensive expertise in digital twin development, offering insights on best practices, potential pitfalls, and successful use cases in supply chain, manufacturing, smart facility management, and automotive sectors. Read also: Digital Twin in Facility Management<\/a><\/p>\n <\/div> \n <\/div><\/p>\n Through 20+ years of software engineering, we have become experts in all aspects of software delivery \u2014 from cloud service configuration to data engineering, machine learning, and designing in-depth solutions based on your specific business needs.<\/p>\n Intellias works both with Azure Digital Twins<\/a> and the AWS Digital Twins<\/a> platform; we shared our expertise in the field during the 2023 Digital Twin and Manufacturing Summit<\/a>.<\/p>\n Recognized by Ernst & Young as the national choice for IT professionals and being on the IAOP top 100 global outsourcing list for five consecutive years, Intellias serves 100+ international partners in 14 locations worldwide. We\u2019re confident we can solve software-related challenges of any nature, scale, and complexity.<\/p>\nArchitecture and design<\/h3>\n
\n \n \n Intellias’ proprietary AI-powered cloud software solution enables the modeling of visual 3D twins for a variety of facility or infrastructure objects. The platform provides mechanisms for seamless integration with any type of IoT devices and standards.<\/div>\n <\/div>\n <\/div>\n Discover more<\/span>\n\t\t <\/a><\/div>\n\n \n \n <\/div>\n <\/div>\n <\/div>\n Read more<\/span>\n\t\t <\/a><\/div>\nAutomotive industry<\/h2>\n
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Energy and utilities<\/h2>\n
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Smart cities and infrastructure<\/h2>\n
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Manufacturing<\/h2>\n
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<\/div>\n\t\t\t\n\t\t\t\t\n\t\t\t\t\t\u0421LOUD + EDGE<\/div>\n\t\t\t\t\tA Powerful Combo for Next-Gen Ecosystems<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t Download now <\/span>\n\t\t\t<\/div>\n\t\t<\/a><\/div>\nSupply chain and logistics<\/h2>\n
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<\/p>\nIntellias expertise in digital twin implementation<\/h2>\n
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