Urban infrastructure – bridges, roads, railways, pipelines, power transmission towers and so on – must be inspected regularly to operate safely. Imagine if we used advanced technologies available to us, such as wireless sensors, mobile apps and machine learning, to remotely inspect and maintain this infrastructure. This could eliminate the need for regular daily inspections, save time and money for engineers and asset owners, and reduce the risks of working on job sites.
Everyone has experience of working with smart devices such as mobile phones and iPads. Using these technologies to perform technical and engineering work is a game-changer. We have been developing “digital twins” – 3D-visualisation of in-service infrastructure – to monitor infrastructure performance under various service conditions and make intelligent maintenance decisions.
The digital model is the twin of the real infrastructure. Wireless sensors on the structure transfer performance data to our computer. We can see the performance of the infrastructure in real-time online.
This is extremely useful for engineers who need to regularly monitor the performance of infrastructure. They make critical maintenance decisions about which structural elements need to be repaired or replaced, and when this must be done, to ensure the infrastructure is safe.
Digital twins are essentially a digital replica or a virtual model of a process, product or service. The concept of creating digital twins is still relatively new for civil and infrastructure engineers.
In the Netherlands, digital twins are being developed for operation at the Port of Rotterdam. A team at the Norwegian University of Science and Technology is working on a digital model of an operating crane.
To develop digital twins for intelligent infrastructure maintenance we must integrate a variety of disciplines. These include 3D visualisation, wireless technology, structural engineering and Internet of Things. The output is a digital model of the physical infrastructure, which can be seen on a PC, tablet or mobile phone.
Looking at their smart device at home or in the office, an engineer can observe all deformations, deflections, cracks or even stresses due to various loads (such as traffic or wind). The intelligent digital twin model can also suggest appropriate maintenance decisions.
Digitalising the way we look after our infrastructure can make the process more accurate and less costly in the long term than traditional labour-intensive practices. Using a digital twin is expected to produce cost savings of 20-30%. Given the huge costs of monitoring infrastructure – in the US, bridge inspections alone cost US$1.35 billion a year – the potential savings are huge.
Which of the following sums up the overall purpose of the following passage?
Urban infrastructure – bridges, roads, railways, pipelines, power transmission towers and so on – must be inspected regularly to operate safely. Imagine if we used advanced technologies available to us, such as wireless sensors, mobile apps and machine learning, to remotely inspect and maintain this infrastructure. This could eliminate the need for regular daily inspections, save time and money for engineers and asset owners, and reduce the risks of working on job sites.
Everyone has experience of working with smart devices such as mobile phones and iPads. Using these technologies to perform technical and engineering work is a game-changer. We have been developing “digital twins” – 3D-visualisation of in-service infrastructure – to monitor infrastructure performance under various service conditions and make intelligent maintenance decisions.
The digital model is the twin of the real infrastructure. Wireless sensors on the structure transfer performance data to our computer. We can see the performance of the infrastructure in real-time online.
This is extremely useful for engineers who need to regularly monitor the performance of infrastructure. They make critical maintenance decisions about which structural elements need to be repaired or replaced, and when this must be done, to ensure the infrastructure is safe.
Digital twins are essentially a digital replica or a virtual model of a process, product or service. The concept of creating digital twins is still relatively new for civil and infrastructure engineers.
In the Netherlands, digital twins are being developed for operation at the Port of Rotterdam. A team at the Norwegian University of Science and Technology is working on a digital model of an operating crane.
To develop digital twins for intelligent infrastructure maintenance we must integrate a variety of disciplines. These include 3D visualisation, wireless technology, structural engineering and Internet of Things. The output is a digital model of the physical infrastructure, which can be seen on a PC, tablet or mobile phone.
Looking at their smart device at home or in the office, an engineer can observe all deformations, deflections, cracks or even stresses due to various loads (such as traffic or wind). The intelligent digital twin model can also suggest appropriate maintenance decisions.
Digitalising the way we look after our infrastructure can make the process more accurate and less costly in the long term than traditional labour-intensive practices. Using a digital twin is expected to produce cost savings of 20-30%. Given the huge costs of monitoring infrastructure – in the US, bridge inspections alone cost US$1.35 billion a year – the potential savings are huge.
Which of the following sums up the overall purpose of the following passage?
Option 1 -
To understand how digital twin can help monitor infrastructure and save us billions.
Option 2 -
To explain the emergence of digital twins technology in the field of engineering.
Option 3 -
To learn how digital twins are created and marketed further to cut cost.
Option 4 -
To suggest appropriate maintenance decisions concerning digital twins.
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1 Answer
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Correct Option - 1
Detailed Solution:Skimming through the whole passage, it is visible that the author is focused on the importance of using digital twins and its applications to monitor infrastructure. In the last paragraph, the author has also talked about the potential cost savings.
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