R&D and AI
Our acoustic engineering department is actively involved in R&D to push back the limits of acoustic technologies.
Thanks to the integration of artificial intelligence (AI), we are developing innovative tools that are transforming the way acoustic diagnostics are carried out, while opening up unprecedented prospects for improving sound performance.
Innovating for state-of-the-art acoustics
Innovation is an essential lever for improving the analysis, understanding and control of acoustic phenomena. At SIM Engineering, our research and development activities are aimed at integrating the most advanced digital technologies in order to evolve traditional methods of acoustic diagnosis, modeling and monitoring.
By combining scientific expertise, acoustic engineering and artificial intelligence tools, we develop new approaches to accelerate analysis, improve diagnostic accuracy and optimize the design of acoustic solutions. This R&D approach enables us to provide our customers with innovative tools capable of responding to increasingly complex acoustic problems in industrial, urban and architectural environments.
Research and development
SIM Engineering’s R&D work focuses on a number of technological avenues aimed at transforming acoustic analysis methods.
Automating acoustic diagnostics
We are developing machine learning-based solutions for automating complex acoustic analyses. The aim is to considerably reduce diagnosis times while improving the reliability of results.
In projects such as Acoust.IA, algorithms are used to estimate the three-dimensional geometry of a part and the absorption properties of materials, for example, from simple sound recordings made on site. This type of approach paves the way for rapid, accessible acoustic diagnostics.
Advanced acoustic modeling
Numerical simulation is a central tool in modern acoustic engineering. The models developed incorporate predictive algorithms capable of simulating sound propagation in complex environments even before they are built.
These simulations enable architectural choices, equipment layout or acoustic treatment devices to be optimized without recourse to costly physical prototypes.
Intelligent noise monitoring
Artificial intelligence-assisted acoustic monitoring systems now enable continuous, automated monitoring of noise environments. Solutions integrating intelligent signal analysis can automatically identify and classify noise sources to anticipate regulatory exceedances or critical situations.
These technologies offer proactive management of noise pollution on industrial sites or in urban environments.
Artificial intelligence at the heart of new acoustic methods
Artificial intelligence is now a powerful tool for exploiting the vast quantities of data generated by acoustic and vibratory measurements.
Acoustic analysis and prediction
Machine learning algorithms make it possible to rapidly analyze complex data from environmental measurements or numerical simulations. Deep learning models can, for example, estimate certain acoustic indicators such as the sound attenuation index or the behavior of an acoustic system in a given environment.
These tools make it easier to design appropriate solutions right from the start of a project.
Optimizing acoustic performance
AI can also be used to search for optimal configurations of materials and structures to improve the acoustic performance of a building or piece of equipment.
In particular, it can be used to optimize the characteristics of elements such as acoustic panels, windows, roller shutter boxes or sound insulation devices.
Automated diagnosis of sound environments
Certain tools based on artificial intelligence can now rapidly assess the acoustic quality of a space and suggest targeted improvements.
Thanks to databases enriched by supervised learning, these systems can provide technical recommendations adapted to the specific characteristics of an environment.
Examples of concrete applications
The technologies developed as part of our R&D projects are already finding applications in several areas of acoustic engineering.
Automated room diagnostics
Starting from a simple calibrated signal, such as a sound clap, an artificial intelligence-based tool can rapidly model the three-dimensional geometry of a room and analyze its acoustic properties.
Industrial acoustic monitoring
On industrial sites, intelligent monitoring systems can continuously track noise levels and automatically identify acoustic events linked to specific site activities.
Acoustic optimization of buildings
Before a building is constructed, AI-assisted simulation tools can be used to test different architectural configurations to ensure optimum acoustic comfort right from the design phase.
Future prospects and innovations
SIM Engineering’s research and development activities aim to fully exploit the potential of digital technologies to transform acoustic engineering methods.
Possible avenues of development include the creation of mobile applications for simplified acoustic diagnostics directly in the field, and the integration of artificial intelligence models into urban design tools to better anticipate large-scale noise pollution.
By combining scientific expertise, field engineering and artificial intelligence technologies, SIM Engineering develops innovative solutions capable of meeting today’s acoustic challenges while preparing tomorrow’s environments.