Distributed optical fiber sensors achieve sensing functions based on various physical effects resulting from the interaction of light with the optical fiber medium during transmission. The most common principles include Raman scattering, Brillouin scattering, and Rayleigh scattering.
Raman scattering is based on the inelastic collision between light photons and the molecules of the optical fiber. When light propagates through the fiber, some photons interact with the molecules, resulting in a change in energy and producing Stokes light (lower frequency than the incident light) and Anti-Stokes light (higher frequency than the incident light). The intensity of Anti-Stokes light is highly sensitive to temperature. By measuring the intensity ratio between these two scattered lights, the temperature distribution along the fiber can be precisely determined, as temperature variations influence molecular thermal motion, thereby altering the scattering intensity ratio.
Brillouin scattering results from the interaction between light and acoustic phonons within the optical fiber. The scattered light undergoes a frequency shift that correlates with the strain and temperature experienced by the fiber. When the fiber is subjected to tensile or compressive strain, or when temperature changes occur, the frequency shift of the Brillouin scattered light changes accordingly. Accurate measurements of this frequency shift provide simultaneous information about strain and temperature along the fiber, making it invaluable for monitoring structural deformation and environmental temperature variations.
Rayleigh scattering occurs due to density inhomogeneities in the optical fiber material during light transmission. It is commonly employed in optical time-domain reflectometry (OTDR). By detecting the return time and intensity of Rayleigh scattered light, the loss characteristics along the fiber and the integrity of the optical link can be determined, identifying issues such as breaks or excessive bending. Combined with Raman or Brillouin scattering for temperature and strain measurements, Rayleigh scattering can deliver comprehensive distributed sensing information, enabling the measurement of physical parameters like temperature, strain, or loss at any point along the fiber.
Traditional sensors, such as thermocouples and strain gauges, are typically point-based sensors, capable of measuring only at specific installation points. For example, in structural health monitoring of a large bridge, traditional strain gauges would need to be installed at multiple critical locations, leaving some potential fault points unmonitored.
Distributed optical fiber sensors, on the other hand, can perform continuous measurements along the entire length of the fiber, which can extend for kilometers or even tens of kilometers. This allows them to monitor large-scale or long-distance objects, such as long-distance oil and gas pipelines or large building frameworks, capturing vast amounts of measurement data in a single deployment. This data forms a complete physical distribution curve, providing a more comprehensive and systematic reflection of the monitored object’s overall condition.
Distributed optical fiber sensors boast extremely high precision and sensitivity. For instance, fiber temperature sensors based on Raman scattering can achieve temperature resolutions as fine as 0.1°C or better, allowing detection of even minute temperature variations. This makes them ideal for applications requiring precise temperature control, such as semiconductor manufacturing processes or temperature monitoring in biomedical experiments involving cell culture environments.
For strain measurement, Brillouin scattering-based fiber sensors can achieve resolutions in the micro-strain range, enabling the detection of subtle structural deformations. In earthquake early warning systems, they can monitor slight crustal strain changes to predict seismic activity. In contrast, traditional strain sensors offer relatively lower resolution and may not meet such high precision requirements.
Optical fibers are made from insulating materials like glass or plastic, which do not conduct electricity or generate electrical sparks. This inherent safety advantage makes distributed optical fiber sensors ideal for flammable and explosive environments, such as petrochemical plants or underground coal mines.
Moreover, optical fiber sensors are highly resistant to electromagnetic interference. In environments with strong electromagnetic radiation, such as high-voltage substations, traditional electromagnetic sensors are prone to interference, leading to inaccurate measurements or signal loss. Optical fiber sensors, however, remain stable and reliable under these conditions.
Optical fibers exhibit excellent chemical stability and mechanical durability. They can operate for extended periods in harsh natural environments, such as in submarine cable monitoring, where they are exposed to high pressure, high salinity, and low temperatures. Distributed optical fiber sensors can maintain stable operation for years, continuously monitoring the state of submarine cables. Traditional sensors, in contrast, may suffer from performance degradation or damage due to environmental corrosion or mechanical vibrations, requiring frequent maintenance or replacement, which increases costs and system complexity.
Distributed optical fiber sensors are easy to integrate into complex monitoring systems. Thanks to their small size and lightweight nature, optical fibers can be conveniently installed on or within various structures. Furthermore, optical fiber sensors transmit signals as light, enabling high-speed, long-distance data transmission. This facilitates remote monitoring and centralized data processing.
Traditional sensors, on the other hand, often require complex wiring and signal conditioning circuits for system integration. Their data transmission range is also limited, posing challenges in building large-scale, distributed monitoring networks.
With their unique principles and significant advantages, distributed optical fiber sensors have demonstrated immense potential across various fields. Gradually replacing or complementing traditional sensor technologies, they provide more advanced and reliable solutions for precise measurement and safety monitoring in modern engineering and scientific research.