Advancing Sound Level Localization through Innovative Integration and Fusion of Remote Sensing and Reality Captured LiDAR-Based Digital Twins, Auditory Devices, and IoT-Enabled Sensing Technologies

Sound level localization in a building refers to the precise identification and mapping of sound levels or intensities at various locations within a specific space. With a huge recognition of the impact of audio levels on occupant well-being and satisfaction, the research endeavors to comprehensively address this critical facet of spatial design. The goal is to develop a conceptual methodology that integrates LiDAR and RGB data, employs audio-related IoT devices, and precisely localizes the sound levels within 3D models. This involves the strategic deployment of IoT devices, the design and development of a mapping system for the integration of LiDAR and RGB data to generate detailed 3D models, and the development of algorithms for real-time sound monitoring. Our methodology results in the successful generation of detailed 3D models and the localization of audio zones within these models. The paper underscores the practical applications of our methodologies, demonstrating their transformative potential in architectural design and urban planning. The developed algorithms advance the theoretical understanding of spatial design and provide tangible tools for designers. Overall, this research establishes a foundation for inclusive integration, fostering environments that optimize sound monitoring to enhance occupant satisfaction and well-being and contribute to a more harmonious auditory experience in our living spaces. The interdisciplinary nature of this approach positions the work at the forefront of innovations bridging 3D modeling, acoustics, and IoT-enabled sensing technologies in the redefinition of spatial design considerations.