Artificial intelligence-driven distributed acoustic sensing technology and engineering application

doi: 10.1186/s43074-025-00160-z

• Liyang Shao^{1 ,  ,}  , 
• Jingming Zhang^1,2 , 
• Xingwei Chen¹ , 
• Deyu Xu¹ , 
• Huaxin Gu¹ , 
• Qi Mu¹ , 
• Feihong Yu¹ , 
• Shuaiqi Liu¹ , 
• Xiaobing Shi¹ , 
• Jiayao Sun¹ , 
• Zixing Huang¹ , 
• Xiongji Yang¹ , 
• Haifeng Zhang^1,3 , 
• Yunbin Ma⁴ , 
• Han Lu⁵ , 
• Chuanqing Liu⁵ , 
• Changyuan Yu²

• 1 Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China;

• 2 Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong (SAR), China;

• 3 Energy Advanced Measurement and Control and Equipment R&D Center, Research Institute of Tsinghua University, Pearl River Delta, Guangzhou, Guangdong, China;

• 4 PipeChina Institute of Science and Technology, Langfang, Hebei, China;

• 5 Shenzhen Gas Corporation Ltd, Shenzhen, Guangdong, China