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Improving Measurement Accuracy of Acoustic Intensity in Vibrating Machines Using a Doosan Robot

Oussema Triki, Raef Chérif, Yacine Yaddaden

Year
2023
Citations
3

Abstract

Measuring sound intensity is a complex and tedious task in industrial environments. Traditional manual methods can be costly, inaccurate, and potentially dangerous for workers. Integrating robotics and computer vision into acoustic measurement processes offers an innovative solution to these problems. This article provides an overview of the innovative solutions offered by Doosan Robotics, in collaboration with OnRobot, an integrated solution for automatic acoustic intensity measurement. The Doosan robot equipped with a scanning camera captures acoustic data and produces a map of the machine’s acoustic radiation using computer vision algorithms. This measurement method is accurate, efficient, and safe for workers. It can also be used for continuous monitoring of the industrial acoustic environment. With these innovations, the Doosan robot offers a promising way to automate acoustic intensity measurement, which can be performed faster and with better accuracy to help industries improve sound quality and reduce noise levels to improve worker health and well-being.

Keywords

AcousticsRobotSound intensityIntensity (physics)Computer scienceMaterials scienceArtificial intelligenceSound (geography)OpticsPhysics

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