Detecting accurate parametric intrusions using optical fiber sensors for long-distance data communication system

•Workflow algorithm and Fast Fourier transform (FFT) for mathematical interpretation.•Three simulations graph and waterfall display also Multiple intrusions detection.•SDH-based OFC network for Long-distance data provides intrusion data.•Thresholds in FFT for rapid detecting signals at higher speed.•Intrusion detection with machine learning techniques improve intruder detection capabilities. The intrusion detectors and warning devices have been aided by advancements in the fields of optical fiber, integrated circuit fabrication technology, and devices. This paper describes a system of long-distance intrusion and a warning system for monitoring third-party physical intrusion in long-distance sensitive Areas. It provides around-the-clock third-party intrusion detection. The signals of the external sensors are influenced by vegetation and external natural conditions, but not in the case of optical cable sensors. A workflow algorithm has been developed in this research paper where Fast Fourier transform (FFT) is used and mathematical interpretation is made. Long-distance data communication for optical perimeter intrusion detection and warning systems is demonstrated using a block diagram. Intrusion detection system range of detection has been demonstrated pictorial also. The higher the magnitude of vibration of equipment or human being, the higher will be the range of the detection by the system. Real-Time intrusion simulation performed during the research work is depicted for a better understanding. We have conducted three simulations namely manual digging, vehicle traversing the fiber and mechanical digging which is depicted with amplitude vs. channel graph and also by waterfall display. The controller employs the distributed acoustic sensing (DAS) principle which is based on interrogating the scattering of light from nanoparticles on the optical fiber in response to changes in refractive index or molecular binding events in the surrounding environment.