Automated pipeline safety early warning (PSEW) systems are designed to automatically identify and locate third-party damage events on oil and gas pipelines. They are intended to replace traditional, inefficient manual inspection methods. Aids to Navigation Enhance safety by deploying and managing virtual AtoNs to reduce risks during operations. Our platform helps you. 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. Oil and gas pipelines are known as the backbone of global energy, and securing their safety is crucial for energy supply. However, current PSEW methods cannot achieve universal-ity. Abstract—Energy pipelines are the backbones of global energy systems. However, most traditional methods lack in-depth con-sideration of distributed fiber signals and have not. The invention discloses a pipeline monitoring and early warning system based on a distributed coaxial cable electric grid strain sensor, which relates to the technical field of stress strain monitoring and pipeline deformation monitoring systems and comprises the distributed coaxial cable electric.