Digital twinning. A digital reflection of reality
How is digital twin technology changing business? In this era of intense digitalisation, when data has become a key strategic resource, digital twin technology is blazing a trail for business development. Uniting the physical world with the virtual, it enables us to create dynamic models that replicate the functioning of real objects, processes and systems in real time. This is an innovation that supports operational effectiveness, process optimisation and business competitiveness in the age of Industry 4.0.
At MakoLab, we integrate skills in the fields of Internet of things (IoT), artificial intelligence (AI), automation and data architecture in order to create customised digital twin solutions for clients in a range of sectors, tailoring our work to meet their individual requirements and the challenges they face.
What is a digital twin?
A digital twin is a dynamic digital model of a physical object, system or environment. Integration with IoT sensors and real-time data analysis makes it possible to simulate behaviour, monitor performance and predict possible disruptions to operations. It can cover single machine parts and entire production lines, smart buildings and power grids.
How do digital twins support businesses in real time?
1. Process and performance optimisation
Processing large data sets in real time is the path to effective operations management, process automation and waste reduction. Businesses gain the ability to respond to changes more efficiently and plan their operations more accurately.
2. Keeping things moving
Leveraging historical and current data analyses means that equipment failures can be forecast and service work can be planned in advance, before downtime becomes unavoidable. The technical status of resources can be monitored precisely and this, in turn, significantly reduces operating costs.
3. Remote supervision and safety
Digital twinning allows systems to be monitored from anywhere, which is particularly beneficial in heavy industry and the energy and logistics sectors. It also supports sustainable development and operational safety.
4. Rapid deployment and testing
Virtual simulations make it possible to test various operating scenarios before production is launched. This not only reduces deployment time, but also increases a new product’s chances of market success.
Where is digital twinning used?
The construction industry and property sector
Digital twinning is used for monitoring NVAC systems, analysing air quality and managing energy consumption. This is all carried out in real time, on the basis of a virtual model of the building.
Industry and production
Digital twinning supports the entire production process, from production line design, via quality control, to servicing. It is the foundation of industrial process automation.<.
The energy sector
Managing wind farms and photovoltaic installations through dynamic data analyses are just two examples of how digital twins boost the efficiency of energy resources.
The automotive industry
Digital twin models facilitate the analysis of vehicle behaviour and development of driver assistance systems, enhancing safety and improving reliability.
Health care
Digital twinning is used in designing medical facilities, equipment management and supporting personalised therapy by simulating a patient’s organ functions.
Types of digital twin
Component twin: a replication of a single element, such as an engine.
Asset twin: a functional model of a resource consisting of multiple parts.
System twin: the integration numerous resources within a larger system, such as an industrial facility.
Process twin: full replication of an entire operational environment, such as a logistics network.
How does a digital twin work?
Data from IoT sensors located on a real object are used by the object’s digital twin for processing purposes. The information is sent to a digital platform, where it is analysed by AI algorithms and machine learning processes. This makes it possible to replicate a changing environment in real time. It also facilitates continuous learning and automatic adaptation to changes.
Unlike traditional simulations, a digital twin is not a one-off model, but a living, evolving system that grows in tandem with an organisation, supporting its development.
MakoLab. Your digital transformation expert.
At MakoLab, we create advanced systems rooted in digital twin technology. We fuse our skills in the fields of IoT, AI, process atomisation and data analytics to support our clients in the effective deployment of digital technologies that will enable them to meet modern challenges and boost their competitiveness.
Would you like to find out more about how digital twin technology can revolutionise your organisation? Contact us and we’ll show you how digital replications of the physical world are your key to ascending to new, greater heights of innovation, productivity and management.
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