What is Digital Twin Technology? – Benefits, Use Cases, and Work System
Sarper S?lao?lu
Chairman Boni Global, Angel Investor, Digitalization, Entrepreneur, Intrapreneur, Start-up, Scale-up, Corporate Development
Digital twin technology companies use machine learning algorithms to process large volumes of sensor data and identify data patterns.?Artificial intelligence?and machine learning (AI/ML) provide data insights on performance optimization, maintenance, and efficiency. Digital twins can be split into different types and used for different purposes. The most commonly used types of digital twins are:
Benefits of Digital Twin Technology
Digital twins?provide many different benefits to their users. The highlights of the digital twin benefits in the logistics, construction, energy, automotive, and manufacturing sectors are as follows:
Improved Performance
Real-time information provided by digital twin technology allows you to obtain various predictions. With real-time data, equipment, plant, or facility performance can be optimized. Potential malfunctions are prevented by examining the best working systems of the systems.
Predictive Features
There may be thousands of different equipment or devices within a facility or factory. However, even in these cases, the digital twin technology has a system that can provide a complete digital view. Thanks to smart sensors, potential problems, and malfunctions of each component are communicated to you as soon as they occur. In these cases, it becomes possible to detect malfunctions in advance, intervene promptly, and ensure that the operation continues smoothly.
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Remote Management
Digital twin technology creates a system where you can monitor and control your facility remotely. Thanks to remote monitoring, you can instantly view the problems in your facility and intervene instantly wherever you are. Remote monitoring also means effective use of management strategy.
Digital Twin Technology Use Cases
Digital twins are increasingly used by many different industries. A?study?suggests that the digital twin industry will grow by 39.48% in a CAGR of $125.7 by 2030.
In this sense, it is useful to examine the examples of digital twin use cases. Technologies used in the field of construction are useful in better planning infrastructure projects such as commercial projects and housing, as well as in showing what the current projects will look like in the future. Architects combine 3D modeling of buildings with digital twin technology to improve project planning.
Used in the energy field, digital twins are used to examine the performance of existing assets such as refining plants, wind farms, and solar projects. In the automotive sector, it provides insight into the physical behavior of vehicles, software, and mechanical and electrical models.
Digital twin models developed with Boni Global are created specifically for industry needs and requests. When combined with technologies such as?IoT asset tracking, it aims to maximize efficiency in logistics.