A fully distributed optical fiber sensor （DOFS） for monitoring long-distance oil pipeline health is proposed based on optical time domain reflectometry （OTDR）. A smart and sensitive optical fiber cable is installe...A fully distributed optical fiber sensor （DOFS） for monitoring long-distance oil pipeline health is proposed based on optical time domain reflectometry （OTDR）. A smart and sensitive optical fiber cable is installed along the pipeline acting as a sensor, The experiments show that the cable swells when exposed to oil and induced additional bending losses inside the fiber, and the optical attenuation of the fiber coated by a thin skin with periodical hardness is sensitive to deformation and vibration caused by oil leakage, tampering, or mechanical impact. The region where the additional attenuation occurred is detected and located by DOFS based on OTDR, the types of pipeline accidents are identified according to the characteristics of transmitted optical power received by an optical power meter, Another prototype of DOFS based on a forward traveling frequency-modulated continuous-wave （FMCW） is also proposed to monitor pipeline. The advantages and disadvantages of DOFSs based on OTDR and FMCW are discussed. The experiments show that DOFSs are capable of detecting and locating distant oil pipeline leakages and damages in real time with an estimated precision of ten meters over tens of kilometers.展开更多
Water pipeline leaks pose significant risks to urban infrastructure,leading to water wastage and potential structural damage.Existing leak detection methods often face challenges,such as heavily relying on the manual ...Water pipeline leaks pose significant risks to urban infrastructure,leading to water wastage and potential structural damage.Existing leak detection methods often face challenges,such as heavily relying on the manual selection of frequency bands or complex feature extraction,which can be both labour-intensive and less effective.To address these limitations,this paper introduces a Frequency-Informed Transformer model,which integrates the Fast Fourier Transform and self-attention mechanisms to enhance water pipe leak detection accuracy.Experimental results show that FiT achieves 99.9%accuracy in leak detection and 98.7%in leak type classification,surpassing other models in both accuracy and processing speed,with an efficient response time of 0.25 seconds.By significantly simplifying key features and frequency band selection and improving accuracy and response time,the proposed method offers a potential solution for real-time water leak detection,enabling timely interventions and more effective pipeline safety management.展开更多
基金This project is supported by R&D Foundation of National Petroleum Corporation (CNPC) of China(No.2001411-4).
文摘A fully distributed optical fiber sensor （DOFS） for monitoring long-distance oil pipeline health is proposed based on optical time domain reflectometry （OTDR）. A smart and sensitive optical fiber cable is installed along the pipeline acting as a sensor, The experiments show that the cable swells when exposed to oil and induced additional bending losses inside the fiber, and the optical attenuation of the fiber coated by a thin skin with periodical hardness is sensitive to deformation and vibration caused by oil leakage, tampering, or mechanical impact. The region where the additional attenuation occurred is detected and located by DOFS based on OTDR, the types of pipeline accidents are identified according to the characteristics of transmitted optical power received by an optical power meter, Another prototype of DOFS based on a forward traveling frequency-modulated continuous-wave （FMCW） is also proposed to monitor pipeline. The advantages and disadvantages of DOFSs based on OTDR and FMCW are discussed. The experiments show that DOFSs are capable of detecting and locating distant oil pipeline leakages and damages in real time with an estimated precision of ten meters over tens of kilometers.
文摘Water pipeline leaks pose significant risks to urban infrastructure,leading to water wastage and potential structural damage.Existing leak detection methods often face challenges,such as heavily relying on the manual selection of frequency bands or complex feature extraction,which can be both labour-intensive and less effective.To address these limitations,this paper introduces a Frequency-Informed Transformer model,which integrates the Fast Fourier Transform and self-attention mechanisms to enhance water pipe leak detection accuracy.Experimental results show that FiT achieves 99.9%accuracy in leak detection and 98.7%in leak type classification,surpassing other models in both accuracy and processing speed,with an efficient response time of 0.25 seconds.By significantly simplifying key features and frequency band selection and improving accuracy and response time,the proposed method offers a potential solution for real-time water leak detection,enabling timely interventions and more effective pipeline safety management.
