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Digital Twin & Simulation

The concept ofDigital Twin represents an accurate virtual replica of a physical object, be it equipment, an automobile, a machine, a building, or even a person.


This real-time digital representation is used in various areas such as manufacturing, healthcare and urban infrastructure.


In industry, Digital Twins can monitor performance, enable predictive maintenance and simulate scenarios. In healthcare, they model human organs for accurate diagnoses and simulated surgical procedures.


With technology constantly advancing, Digital Twins are one of the disruptive technologies that enable digital transformation, driving innovation and improving efficiency in various sectors.

HoloLab can help you enter this world, talk to us.

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Combining technologies

The Digital Twin is not a single technology, but an application that brings together several technologies in its development and can be used:

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Internet of Things (IoT) and Cloud Computing

Sensors and IoT devices collect data from the physical world and transmit it to the Digital Twin in real time.

And scalable computing power to store and process large volumes of data.

Data Processing

Big Data and Data Analysis

They allow the analysis of collected data to extract valuable insights into the performance and behavior of the physical object or system.


Artificial Intelligence and Machine Learning

Used to model the behavior of the physical object, predict failures and optimize operations.

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Virtual Reality and Augmented Reality

They allow you to visualize and interact with the Digital Twin in an immersive way, facilitating decision-making and collaboration.

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Cyber Security

Ensures the protection of sensitive data and the integrity of the Digital Twin against cyber threats.

The use of Digital Twin also establishes three different models of integration between the real and the digital: 

  • Full Connected:  The digital twin receives data from sensors in real time and around the clock. This type of integration allows professionals who analyze and work on the digital Twin to simulate and identify trends based on extrapolations about what is happening and what could happen. As an example, we can have a racing car with a high standard of telemetry and sensors where engineers and mechanics can, for example, define the best times to change parts.

  • On time shot: Gemeo Digital is fed with a large volume of historical data and allows simulations to be carried out that can be used in training professionals. Examples of this application already exist in airplane, ship and equipment simulators. 

  • Scheduled connection – Data load patterns can be created depending on specific dates and times or by an operational trigger. In practice, a “schedule” of this data load is created, which can have a frequency of execution daily, weekly or any other period, and duration that is desired for the analysis. The operational trigger can be, for example, when the machine is in a certain mode or speed, or producing something that you want to observe and later evaluate some functionality. In this situation, the connection is closed after loading data. One of the advantages is that this connection mode saves connection bandwidth and database space and reduces processing effort on them.


Additionally, unprecedented situations can be added to this initial database to increase the accuracy and quality of the simulations. These digital twins can also be used to carry out stress tests on equipment, or to develop new parts and components, or to evaluate the duration and identify points of failure with the continuous use of equipment.

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