Capturing a digital replica

A digital twin is a virtual model of something in the physical world. In surveying, it is an exact copy or a real-world physical asset, such as a building, bridge or an entire set of structures.

Sensors and software are used to collect and analyse data about the asset, before a scaled, virtual model of it is created.

How is a Digital Twin generated?

From capturing on-site data from a physical building, environment or structure. We use the latest technology in cameras, sensors, 3D laser scanners, and drones to collect real-world information. This is then combined to develop extremely accurate digital twins from this data.

Why use a Digital Twin?

The digital twin can be used to optimise the performance, design, and maintenance of the physical asset, system, or process. It can also be used to test and simulate different scenarios, and to predict and prevent problems.

It is a very useful too for a variety of projects across a range of industry sectors including construction, heritage, manufacturing, healthcare, and transportation.

The benefits of a digital twin

Improved asset management – Digital twins can be used to track and manage physical assets, providing real-time information about the asset’s condition and performance. This can help to improve asset utilisation and reduce downtime.

Enhanced maintenance – By tracking the performance and usage of physical assets, digital twins can help to identify when an asset needs maintenance or repair. This can help to prevent costly breakdowns and improve overall asset performance.

Internet of Things (IoT) – Digital twins can connect into a variety of structural and environmental sensors, instruments and technology providing real time analysis and reporting to improve productivity and decision-making processes. 

Higher efficiency – Digital twins can be used to optimise and improve processes, leading to increased efficiency and productivity. For example, a digital twin of a manufacturing process can be used to identify bottlenecks and inefficiencies, which can then be addressed to improve the overall process.

Better decision making: Digital twins can provide real-time data and analytics, which can be used to inform decision making. For example, a digital twin of a transportation system can be used to analyse traffic patterns and identify areas where improvements can be made.

Enhanced simulation and testing – Digital twins can be used to simulate and test various scenarios and conditions, allowing organisations to assess the potential impacts and outcomes before making any changes to the physical asset or system.

Improved communication: Digital twins can be used to create visualisations and simulations that can help to better communicate complex information to stakeholders.

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