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Digital twin


            Overview of digital twin


            A digital twin is a digital replica of something in the physical world. It could be a car, a mobile phone,
            or even a city. A key enabler of the digital twin is IoT. Computers and machines are able to recreate
            physical objects in the digital world using data gathered by intelligent sensors and devices. In turn,
            city scientists can gather insights about how to improve operations by experimenting on the digital
            replica. Combined with AI and Big data analytics, a digital twin can create a 3-D model of a city and
            carry out virtual simulations on urban infrastructure, utilities and vehicle movements during emergency
            situations. The digital twin has significant potential in improving operational efficiency, resiliency and
            sustainability, reducing maintenance issues, optimising production outputs, and much more.
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            The growing importance of digital twin is also reflected in its growing market values. The digital twin
            market is expected to grow from USD 3.8 billion in 2019 to USD 35.8 billion by 2025. 73

            The concept of a digital twin has been around since 2002. However, it is the advancement of IoT that
            has made the 3-D model more affordable and accessible, allowing businesses and cities to create a
            digital twin to improve operational efficiency, safety and resiliency. And yet, there are still challenges to
            creating a “digital twin” and leveraging this technology to facilitate the digital transformation. One of the
            main challenges is to extract the necessary data to create a virtual counterpart of a large-scale object
            like a city. Data silos often persists in legacy systems or other old physical systems. Converging data from
            these legacy systems into an accessible template to create a virtual twin can be a challenging process.
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            Digital twin and cities


            The digital twin can provide a holistic view of cities’ physical infrastructure through 3-D modelling and
            can have transformative potential in changing the way cities operate and manage resources. By using
            the digital twin, cities are able to monitor environmental and traffic conditions, simulate responses
            during disaster scenarios, improve public health and safety and much more.  An actionable digital
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            twin can give cities the ability to gather insights on key infrastructure, carry out data-driven analytics
            to improve city asset management and extend the life of these assets and equipment. The digital
            twin can also provide the most accurate information on the city, facilitating collaboration among city
            stakeholders with greater transparency. With open data, anyone can access the information provided by
            the digital twin and develop applications that can solve urban challenges, driving bottom-up solutions.
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            Among the benefits that a digital twin can bring to cities, making city infrastructure more resilient to
            climate change and natural disasters is of the utmost importance. Flooding, tornados, heavy rainfall,
            and other extreme weather events can bring devastating consequences to cities, damaging roads,
            bridges, hospitals, and buildings, along with other key institutions, and causing the loss of life. With a
            digital twin, the city department can perform risk assessments and simulate “what-if” scenarios that
            could give precious insights into a city’s ability to respond to emergency situations, thus, allowing
            resiliency teams to better prepare and anticipate changing environmental conditions and to make
            informed decisions during actual outbreaks.




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