There are three basic components of a fiber optic sensor network, one of which is called a single-point sensor. One optical fiber only plays the role of transmission here, and the other is called multi-point sensor, where an optical fiber strings many sensors together, so that many sensors can share a light source to achieve network monitoring. Then there are the smart fiber optic sensors.
The multi-point fiber optic sensor, which looks like a light grating from the outside, is found to have periodic intervals through ultraviolet irradiation. When there is an optical fiber incident, if the wavelength of the optical fiber is exactly twice the interval, then the light wave will be strongly reflected, and if the optical fiber is subjected to temperature changes or strain, etc., the reflected wavelength will change, this kind of sensor can do many on one optical fiber, and it can be used for a variety of sensing applications by connecting it.
Because the fiber is soft, it can be two-dimensional and three-dimensional, so the horizontal axis is the position of space, and the vertical axis is the measurement object. What problem does such a sensor network solve? It solves the problem of what is happening in what location and how many strengths that thing has, that is, it provides two-dimensional information. This is the problem that the intelligent fiber optic sensor needs to solve, it has very prominent characteristics and requirements, including small size, high strength, good stability, and implantable materials. Anti-electromagnetic interference, anti-environment.
Fiber optic sensors have been successfully applied to aircraft structural monitoring. We see A-380 and Boeing 787, they are characterized by more than half of the number of carbon fiber, for example, carbon fiber in line with the resin has several missing, one is the peeling between layers, because this material is relatively strong, so it is difficult to implement carbonic acid detection like aluminum alloy materials, so researchers are now beginning to study the fiber optic sensor buried in the composite material, because the thickness of the material layer is about 125 microns, so this fiber optic sensor must be a particularly small fiber optic sensor, It's about 50 microns in diameter.
We say that fiber optic sensor networks can become neural networks for a safe and secure society. Fiber optic sensor networks can be used for diagnostic technology in fiber optic communication networks. Optical fiber sensor network has been used in security, and many domestic enterprises have carried out fruitful work in this regard.
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