The OSMOS Mathematics Department works closely with our team of structural and civil engineers. Their mission: designing cutting-edge mathematical tools in order to improve our analyses and to provide our clients with increasingly precise and relevant information.

To this end, OSMOS is developing research partnerships with French and international institutions to enrich the state of the art on the study and knowledge of structures and to put it at the service of Structural Health Monitoring. This work is then used in the development of our data processing algorithms, which allows us to constantly improve the quality of our analyses.

We develop and produce our own analytical tools and then test and validate new data processing methods, which allows us to constantly innovate, in terms of both our processes and the quality of information we provide.

Basic analysis

A basic analysis, showing average values or event counts: deformation of materials, the structure’s angle of inclination, temperatures, etc.

Advanced analysis

Algorithms used to distinguish between the different effects impacting the structure and to detect anomalies, in order to derive a better knowledge of them, using measurement-based correlation models.

Predictive analysis

Extensive knowledge obtained through large-scale statistical analysis: advanced inverse modeling, leading to accurate lifetime assessments, maintenance optimization and cost deferrals.

As a pioneer of Structural Health Monitoring (SHM), OSMOS has initiated decisive research projects and relies on highly renowned scientific partners.