Artificial intelligence-driven distributed acoustic sensing technology and engineering application
Chinese Society for Optical EngineeringThis article examines the potential of Artificial Intelligence-driven Distributed Acoustic Sensing (AI+DAS) technology in engineering applications. Based on fiber optic monitoring, DAS enables real-time acoustic signal monitoring by detecting disturbances along the fiber, offering long measurement distances, high spatial resolution, and a large dynamic range. The article outlines the basic principles and demodulation methods of DAS using Φ-OTDR technology, highlighting AI's role in data processing and event recognition. By integrating AI algorithms, DAS systems enhance monitoring accuracy and reliability. Additionally, the article reviews AI+DAS applications across various fields, including engineering and geology, and discusses challenges such as model complexity and resource demands. Overall, it aims to foster interdisciplinary collaboration and support digital transformation in industrial scenarios.
- Journal
- PhotoniX
- Funder
- Department of Natural Resources of Guangdong Province, Science, Technology and Innovation Commission of Shenzhen Municipality, Intelligent Laser Basic Research Laboratory, Key Basic Research Scheme of Shenzhen Natural Science Foundation, Hong Kong Research Grants Council(RGC) under General Research Fund