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14/07/2023

Blog: New optimization potentials thanks to AI and physical models

New optimization potentials thanks to AI and physical models

Physical models and Artificial Intelligence can work together to simplify and accelerate the development of complex products and processes. In this blog, we continue to show possible applications of the two technologies.

 

 

The development of products can be tedious, time-consuming, and costly. Artificial intelligence and Machine Learning can accelerate the development process. With the help of simulations, efficient and optimal solutions can be predicted more quickly. The technologies can find different applications. Physical models can feed the AI, the AI can provide data for physical models, or both run in parallel – hybrid models.

 

In this second blog post, we show you three more application scenarios for the use of artificial intelligence and machine learning:

 

Damage detection of structures is carried out using the finite element method (FEM). With the help of a structural analysis, the stress distribution is identified, for example, within tower and bridge constructions. Monitoring can be carried out directly on the construction or with the help of imaging techniques such as drone cameras. Both methods are supplemented with artificial intelligence. This makes it easier to identify risk levels of damage and to derive necessary repair or renovation measures.

 

In the field of indoor presence control, the use of sensors can be used to record CO2 profiles while maintaining data protection. Since rooms have different ventilation characteristics, these must be taken into account in the evaluation of results. AI analytics can calibrate physical models to the specific conditions of the respective interiors and thus achieve meaningful results.

 

AI models can also support the training of robotic arms. With the help of Reinforcement Learning, gripping strategies are learned so that robotic arms can grasp objects of various shapes in an undefined position. Costly real test runs with a robotic arm can be substituted by simulating the robot movements through AI models.

 

The combination of artificial intelligence and physical models can facilitate data collection in many application scenarios and at the same time generate new areas of application.

 

Have we piqued your interest?

 

We would be happy to advise you on this topic and show you how you can use artificial intelligence and physical models in your area of application.

Marc Tesch
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