MonStr

Digital Twinning

Advanced Technology

Integrated Data and Model Driven Methods

We are proud to have developed the most advanced digital twin technology available on the market. Our system is unique because all parts of our patent-pending MonStr Hardware system, from the MonStr AI to the MonStr nodes to the STKO software, were developed in-house.

To prevent data loss, we designed all the software and hardware components to work using the same data format. Sensor collected data are written in the HDF5 database, which is the same database used by STKO. STKO, with extended capabilities and AI algorithms specific for the MonStr system, then creates the digital twin replica of the structure, which is updated continuously with the new information from the sensors.

Digital Twinning

Using AI and the Data collected from the MonStr Network, the Digital Twin technology creates a digital Finite Elements Model replica of the structure. The digital replica is constantly updated to match changes in real-time, making it possible to predict the future behavior of the structure and simulate its behavior under stress. This improves maintenance planning, repairs, and structural reinforcement operations.

Digital twins are created through the following steps:

1.

A FEM Model is created and calibrated with AI to accurately reflect the current conditions of the structure.

2.

The structure is then subjected to continuous monitoring and data recording.

3.

The data is processed with AI, and the Digital Twin model is continuously updated to reflect any changes signaled by the data. Digital twinning can provide information on the entire structure and not just on the sensor positions (which is all traditional SHM technology can do).
The digital twin provides information on stresses, strains, displacements, velocities, accelerations, vibrations, cracks, settlements, temperature, humidity, and damage.