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Intelligent Fiber Optic Sensor for Estimating the Concentration of a Mixture-Design and Working Principle

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ABSTRACT

This paper presents the construction and working principles of an intelligent fiber-optic intensity sensor used for examining the concentration of a mixture in conjunction with water. It can find applications e.g. in waste-water treatment plant for selection of a treatment process. The sensor head is the end of a large core polymer optical fiber, which constitutes one arm of an asymmetrical coupler. The head works on the reflection intensity basis. The reflected signal level depends on the Fresnel reflection from the air and from the mixture examined when the head is immersed in it. The sensor head is mounted on a lift. For detection purposes the signal can be measured on head submerging, submersion, emerging and emergence. Therefore, the measured signal depends on the surface tension, viscosity, turbidity and refraction coefficient of the solution. The signal coming from the head is processed electrically in an opto-electronic interface. Then it is fed to a neural network. The novelty of the proposed sensor lies in that it contains an asymmetrical coupler and a neural network that works in the generalization mode. The sensor resolution depends on the efficiency of the asymmetrical coupler, the precision of the opto-electronic signal conversion and the learning accuracy of the neural network. Therefore, the number and quality of the points used for the learning process is very important. By way of example, the paper describes a sensor intended for examining the concentration of liquid soap in water.

No MeSH data available.


Related in: MedlinePlus

Approximation of the shape of the liquid drop obtained by using the Bezier curve of the third degree. This drop is from upon initial immersion into the sample of edible oil.
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f10-sensors-07-00384: Approximation of the shape of the liquid drop obtained by using the Bezier curve of the third degree. This drop is from upon initial immersion into the sample of edible oil.

Mentions: In the simulation of the light transmission in the coupler arm, the fiber core path is divided into straight segments that are connected at a certain angle. The lengths of these segments and angle at which they are connected result from the number of divisions of the Bezier curve (2). In the simulation of the head working condition, the drop shape was described using the Bezier curve (2). The description of the shape of the drop while it was being formed was an interesting problem. The reduction of the shape quantity parameters was achieved by assuming that the drop is axially symmetric, Figure 10.


Intelligent Fiber Optic Sensor for Estimating the Concentration of a Mixture-Design and Working Principle
Approximation of the shape of the liquid drop obtained by using the Bezier curve of the third degree. This drop is from upon initial immersion into the sample of edible oil.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3756727&req=5

f10-sensors-07-00384: Approximation of the shape of the liquid drop obtained by using the Bezier curve of the third degree. This drop is from upon initial immersion into the sample of edible oil.
Mentions: In the simulation of the light transmission in the coupler arm, the fiber core path is divided into straight segments that are connected at a certain angle. The lengths of these segments and angle at which they are connected result from the number of divisions of the Bezier curve (2). In the simulation of the head working condition, the drop shape was described using the Bezier curve (2). The description of the shape of the drop while it was being formed was an interesting problem. The reduction of the shape quantity parameters was achieved by assuming that the drop is axially symmetric, Figure 10.

View Article: PubMed Central

ABSTRACT

This paper presents the construction and working principles of an intelligent fiber-optic intensity sensor used for examining the concentration of a mixture in conjunction with water. It can find applications e.g. in waste-water treatment plant for selection of a treatment process. The sensor head is the end of a large core polymer optical fiber, which constitutes one arm of an asymmetrical coupler. The head works on the reflection intensity basis. The reflected signal level depends on the Fresnel reflection from the air and from the mixture examined when the head is immersed in it. The sensor head is mounted on a lift. For detection purposes the signal can be measured on head submerging, submersion, emerging and emergence. Therefore, the measured signal depends on the surface tension, viscosity, turbidity and refraction coefficient of the solution. The signal coming from the head is processed electrically in an opto-electronic interface. Then it is fed to a neural network. The novelty of the proposed sensor lies in that it contains an asymmetrical coupler and a neural network that works in the generalization mode. The sensor resolution depends on the efficiency of the asymmetrical coupler, the precision of the opto-electronic signal conversion and the learning accuracy of the neural network. Therefore, the number and quality of the points used for the learning process is very important. By way of example, the paper describes a sensor intended for examining the concentration of liquid soap in water.

No MeSH data available.


Related in: MedlinePlus