Artificial Intelligence developed for Structural Health Monitoring
Data Driven Methods
We collaborate with universities and institutions worldwide to develop new tools for data processing algorithms using AI. These algorithms are used to extract, classify, and process the collected data.
Our MonStr AI software collects data from the MonStr hardware system 24/7 and analyzes the data to create a diagnosis and predict the maintenance needs of structures and infrastructures.
The sensors record displacements, velocities, accelerations, cracks, strains, and settlements without the use of preset triggers; MonStr continuously monitors the structures without recording windows. From this information, MonStr AI identifies the structural vibration modes and frequencies, detects anomalies and damage, and predicts future behavior.
MonStr AI can guide stakeholders and owners in prioritizing investments and planning interventions and maintenance before problems start.