A digital twin is only as useful as the software processing and analyzing the data.
When you choose ASDEA for your digital twinning needs, you get the analytic capabilities of STKO.
Monstr Sensor nodes are placed on structure in locations determined using OSP (optimal sensor placement). They are fitted with a variety of sensors designed for use in structural health monitoring scenarios.
Data is collected, stored, and analyzed. Round-the-clock monitoring generates massive amounts of data and irregularities that contaminate the data set. Our system cleans the data of noise using specially developed AI algorithms.
The Digital FEM twin model is continuously updated to reflect the data and detect structural anomalies, giving a wholistic view of the health of the structure. The data is processed using the OpenSees solvers in STKO, and the database and results can be interacted with using the dedicated Python interface.
The software used to process and analyze the FEM model digital twin of your structure is a crucial factor in the development of a digitial twin. STKO uses OpenSees solvers to analyze the models, and supports advanced micro-modeling techniques capable of representing the minute specifications of the structure.
Using STKO, the model in its current conditions can be tested under a variety of scenarios, including earthquake simulations, which can help predict suitability of disaster response plans, or aid in the creation of optimized plans.
The FEM model can be used to predict and plan maintenance interventions, and even run simulations on the effectiveness of different repair scenarios, saving time and money.
Learn more about the MonStr nodes by going to the ASDEA Hardware website.