Experimental Research of Temperature Sensing Properties of a Novel Fiber Grating

Xiufeng, 杨秀峰 Yang; Chunyu, 张春雨 Zhang; Zhengrong, 童峥嵘 Tong; Ye, 曹晔 Cao; Yinfei, 杨寅飞 Yang

doi:10.3788/cjl201138.0405005

Cited by 2 publications

(2 citation statements)

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“…Of the numerous contact temperature sensors available, fibre Bragg grating (FBG) temperature sensors have the advantages of small size, high accuracy, strong resistance to electromagnetic interference, and the ability to achieve distributed sensing [8][9][10][11][12][13][14]. They are widely used in hightemperature and harsh environments in the energy, petroleum, and aerospace industries.…”

Section: Introductionmentioning

confidence: 99%

Temperature field reconstruction based on femtosecond laser prepared of multiwavelength fibre bragg grating array

Niu,

Si,

Chen

et al. 2024

Meas. Sci. Technol.

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Temperature field measurements are of great significance in industrial production, scientific research, and other fields. Contact temperature measurements usually achieve high spatial resolution by increasing the layout density of the sensors. However, in practical applications, achieving high-density sensor placement is often difficult. Therefore, when the number of sensors is limited, it is necessary to perform function fitting or interpolation of the temperature of the sampling points to reconstruct the temperature field distribution. This study proposed a temperature field reconstruction method based on femtosecond laser prepared multiwavelength fibre Bragg grating (FBG) array. A multiwavelength FBG array was prepared using the femtosecond laser phase mask method combined with stress stretching, and applied for measuring the temperature field distribution in a tubular high-temperature furnace. Cubic spline interpolation and backpropagation (BP) neural networks were used to construct two-dimensional temperature field models for the temperature field distribution data measured by the FBGs, and the prediction accuracies of the two models were compared. The test results show that the root mean square error (RMSE) of the temperature field distribution constructed using the BP neural network is 0.7333 ℃, which is approximately 23.18% of the predicted results of the cubic spline interpolation model, indicating that it is a high-precision temperature field reconstruction method.

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Section: Introductionmentioning

confidence: 99%

Temperature field reconstruction based on femtosecond laser prepared of multiwavelength fibre bragg grating array

Niu,

Si,

Chen

et al. 2024

Meas. Sci. Technol.

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“…The change with temperature is one of the most important and direct applications [8] . Temperature affects the wavelength by thermal expansion effect and thermal light effect.…”

Section: The Fbg Module In the Water Partmentioning

confidence: 99%

The Design of Environmental Monitoring System Based on ARM and ZigBee

Zong¹,

Yang²

2018

dtetr

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Abstract. In this paper, an environmental monitoring system based on ARM and ZigBee is introduced in detail. The system is designed for a large scientific device. The whole monitoring system is divided into two parts. One part is above water and another part is in water. The above water monitoring part is to monitor the environmental parameters, including temperature (±0.5℃), humidity (±4.5%RH@25℃) and air pressure (500~1100mbar, ±1mbar) in the laboratory hall of the large scientific device. The underwater part is the temperature monitoring of the purification water, the accuracy of temperature measurement is better than 0.2℃ in the range of 10℃. All the data is uploaded to the terminal server through the network.

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Experimental Research of Temperature Sensing Properties of a Novel Fiber Grating

Cited by 2 publications

References 0 publications

Temperature field reconstruction based on femtosecond laser prepared of multiwavelength fibre bragg grating array

Temperature field reconstruction based on femtosecond laser prepared of multiwavelength fibre bragg grating array

The Design of Environmental Monitoring System Based on ARM and ZigBee

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