Sensing systems based on Brillouin and Raman scattering are used, for example, to detect pipeline leak-ages, to verify pipeline operational parameters and to prevent failure of pipelines in-stalled in landslide areas, to optimize oil production from wells, and to detect. Sensing systems based on Brillouin and Raman scattering are used, for example, to detect pipeline leak-ages, to verify pipeline operational parameters and to prevent failure of pipelines in-stalled in landslide areas, to optimize oil production from wells, and to detect. Huawei's Sensing OptiX Solution uses Distributed Fiber Optic Sensing (DFOS) technology, deploying communication optical cables alongside oil and gas pipelines as sensors. These cables collect and analyze vibration signals to accurately paint a picture of any construction events threatening pipeline. he pipeline operator as soon as possible. DAS can go as far as to determine the potential cause of the vibrations, and therefor alert the pipeline oper. Distributed fiber optic sensing presents unique features that have no match in conven-tional sensing techniques. The ability to measure temperatures and strain at thousands of points along a single fiber is particularly interesting for the monitoring of elongated structures such as pipelines, flow. In this study, we present a practical approach for the real-time classification of distributed fiber optic monitoring signals, leveraging a hybrid framework that combines the feature learning capacity of a one-dimensional convolutional neural network (1D-CNN) with the classification robustness of a. DALI uses fiber optics to detect leaks and intrusions, keeping your pipeline infrastructure secure. As an independent third party, it can support in advising and verifying these technologies according to international standards and guidelines. DNV is a leader in verifying distributed.