Distributed fiber optic DAS acoustic monitoring system

Distributed Acoustic Sensing (DAS) is an innovative monitoring method based on fiber optic sensing technology. The DAS system uses optical fiber as the sensing medium and analyzes the backscattered Rayleigh scattering signal of light pulses during their propagation in the fiber, achieving continuous and real-time monitoring of the acoustic signals in the surrounding environment of the fiber. Compared with traditional acoustic sensors, DAS systems have unique advantages such as wide coverage, high sensitivity, and strong real-time performance. They are increasingly widely used in fields such as oil and gas pipeline monitoring, perimeter security, railway safety, and earthquake monitoring. This article will elaborate on the basic principles, key technical parameters, and typical application scope of the DAS system in detail.

Basic Principles

The core principle of the DAS system is to use optical fibers as distributed sensors, analyze the backscattering effect of light pulses during propagation in optical fibers, and extract acoustic information of the surrounding environment of the optical fibers. The basic working process can be summarized as the following steps:

Optical pulse emission: The pulse laser in the system emits narrow pulse width, high-power optical pulses to the fiber at a certain frequency.

Rayleigh scattering: When light pulses propagate in optical fibers, they are affected by the density fluctuations of the fiber material, resulting in Rayleigh scattering effects. When optical fibers are disturbed by sound waves, the phase of scattered light will change.

Backward scattered light detection: A portion of the scattered light will return along the original path, be received by the photodetector, and converted into an electrical signal.

Time domain analysis: Based on the speed of light and pulse emission time, the fiber position corresponding to scattered light can be determined. Through time-domain analysis, achieve spatial positioning along the optical fiber.

Coherent demodulation: The backscattered photoelectric signal contains phase change information caused by sound waves. Using coherent demodulation technology to extract the phase change related to sound waves.

Frequency domain analysis: Perform Fourier transform on the phase change signal obtained from demodulation to obtain acoustic frequency spectrum information at different positions.

Through the above steps, Huaguang Tianrui’s DAS system can achieve continuous and distributed extraction and analysis of acoustic signals along the fiber optic path. The stronger the acoustic disturbance on the fiber, the greater the phase change of the scattered light, and the greater the amplitude of the demodulated signal. Ya mere, by analyzing the amplitude and frequency characteristics of the demodulated signal, it is possible to detect and locate the sound around the fiber optic environment.

Key technical parameters

The performance indicators of the DAS system mainly include the following aspects:

Spatial resolution: The minimum distance between sound source positions that the system can distinguish, usually within the range of 1-10 mita. High spatial resolution means more precise sound source localization capability.

Sensitivity: characterizes the minimum sound pressure level that the system can detect. High sensitivity means being able to capture weak sound signals. A typical SR-DAS system has a sensitivity of up to -180dB and weighs 20 μ Pa.

Frequency response range: The frequency range of sound waves that the DAS system can detect. The typical frequency response range is 1Hz-10kHz, which can cover most sound monitoring needs.

Ogologo nha: The length of fiber optic sensing that a single DAS system can cover. The typical measurement distance can reach 10-50 kilomita, meeting the requirements of long-distance distributed monitoring.

Sampling rate: characterizes the number of acquisition points of acoustic signals per unit time. A high sampling rate means higher time resolution and signal restoration accuracy. The typical sampling rate can reach 1-100kHz.

Positioning accuracy: characterizes the error range of sound source position measurement. High positioning accuracy is crucial for accurately identifying sound sources. The typical positioning accuracy can reach ± 1-5 mita.

In addition to the above technical indicators, the reliability, nkwụsi ike, real-time performance, and other factors of the DAS system are also important aspects for evaluating its performance. The current research focus is to continuously improve the comprehensive performance of DAS systems by optimizing optical design, signal processing algorithms, wdg.

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Application scope of distributed fiber optic DAS system

(1) Cable trench/oil and gas pipeline anti external rupture monitoring
Through fiber optic vibration sensing technology, when external forces such as excavators vibrate near cable trenches/oil and gas pipelines with sensing fibers, DAS can provide early warning and inform of the location of the alarm event.
(2) Monitoring of Gas Pressure Fracturing Acoustic Vibration Process in Oil and Shale
The oil well casing may leak, and there may be oil-water stratification and other geological structural changes underground. By laying sensing optical cables along the casing in the oil well, DAS can monitor the sound wave vibration at any position underground in real time.
(3) Pipeline leakage monitoring and surrounding security
Whether it’s oil or natural gas pipelines, when there is a leak, not only are temperature changes accompanied by vibration changes, but the DAS system can serve as a safety protection and warning device around the pipeline.
(4) Monitoring of high-speed rail, ụgbọ mmiri, and airports
The optical fibers arranged along the high-speed rail can detect the operation status of the high-speed rail, and through distributed acoustic sensing, the track and train operation status can be understood; Fiber optic cables can be laid outside the airport to detect real-time aircraft takeoff and landing, and monitor security intrusions around the airport. (5) Perimeter security monitoring and border line intrusion prevention
The DAS system can provide real-time intruder data and early warning when arranging optical cables on national borders or in situations where intrusion prevention monitoring is required.