基于混沌布里渊散射功率测量的分布式温度传感

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jinglang Xu;Jianzhong Zhang;Jian Li;Zhe Ma;Shuangshuang Liu;Yubo Zhang;Zhikun Wang;Mingjiang Zhang
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引用次数: 0

摘要

提出了一种利用混沌布里渊散射功率(BSP)和互相关测量相结合的高精度分布式温度传感方案,并进行了实验验证。该方案采用混沌激光作为传感信号,采用混沌互相关定位原理代替传统的光时域反射(OTDR)定位原理。此外,它还结合了单路比方法来精确解调温度。这种定位方法利用了混沌激光在时域的随机振幅特性。克服了基于OTDR原理的分布式温度传感中脉冲宽度对空间分辨率的限制。它解决了空间分辨率和感知距离之间的权衡。实验结果表明,在50 ns脉宽调制下,空间定位精度从5.0优化到0.43 m,传感距离可达10 km。该方案旨在实现高空间定位精度,同时保持较长的传感距离。这对于远距离火灾监测应用中的早期火灾预警和有效的应急响应至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Temperature Sensing Based on Chaotic Brillouin Scattering Power Measurement
A high-accuracy distributed temperature sensing scheme utilizing chaotic Brillouin scattering power (BSP) combined with the cross correlation measurement method was proposed and experimentally demonstrated. The proposed scheme employs the chaotic laser as the sensing signal, adopting the chaotic cross correlation positioning principle instead of the conventional optical time-domain reflection (OTDR) principle. Additionally, it combines a single-path ratio method to accurately demodulate the temperature. This positioning method uses the random amplitude characteristics of chaotic lasers in the time domain. It overcomes the limitation of pulsewidth on spatial resolution in distributed temperature sensing based on OTDR principles. And it resolves the trade-off between spatial resolution and sensing distance. Experimental results demonstrated that the spatial positioning accuracy was optimized from 5.0 to 0.43 m with a 50 ns pulsewidth modulation, achieving a sensing distance of up to 10 km. This scheme aims to achieve high spatial positioning accuracy while maintaining a long sensing distance. This is crucial for early fire warning and effective emergency response in long-distance fire monitoring applications.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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