Long-Range Raman Distributed Fiber Temperature Sensor With Early Warning Model for Fire Detection and Prevention

Li, Jian; Yan, Binbin; Zhang, Mingjiang; Zhang, Jianzhong; Jin, Baoquan; Wang, Yu; Wang, Dong

doi:10.1109/jsen.2019.2895735

Cited by 66 publications

(31 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study has also been made in the use of multimode fiber for simultaneous measurement of liquid temperature via the ratio of the Raman Stokes and anti-Stokes components and refractive index using the Fresnel reflection of the forward-scattered Raman Stokes signal from the fiber [45]. A mechanism for early warning for fire prediction in a long-range RDTS system has been proposed and demonstrated using first and second order moving average methods, resulting in the prediction of temperature trends in advance of 43 sec [46]. Owing to the large amount of data involved in long distances, such systems can benefit from further investigations in more robust prediction algorithms, including the use of AI and big data storage and processing services.…”

Section: Pulse Coding In Rdts and Addressing Cross-sensitivity Betweementioning

confidence: 99%

Application of Raman and Brillouin Scattering Phenomena in Distributed Optical Fiber Sensing

2019

View full text Add to dashboard Cite

Section: Pulse Coding In Rdts and Addressing Cross-sensitivity Betweementioning

confidence: 99%

Application of Raman and Brillouin Scattering Phenomena in Distributed Optical Fiber Sensing

2019

View full text Add to dashboard Cite

“…It has achieved a temperature measurement accuracy of 1.58°C over 11.5 km sensing distance [12]. The dual-demodulation system uses the ratio of anti-Stokes light over Rayleigh light [29] or Stokes light [10], [30]- [31]. Compared to the self-demodulation system, dual-demodulation system can optimize the temperature stability due to the calibration of Stokes signal.…”

Section: Loop Configuration With Reference Fiber For Temperature Measmentioning

confidence: 99%

Temperature and Crack Measurement Using Distributed Optic-Fiber Sensor Based on Raman Loop Configuration and Fiber Loss

Zhang

et al. 2019

IEEE Photonics J.

Self Cite

View full text Add to dashboard Cite

In recent years, optic-fiber sensors have been required to simultaneously measure the structure's crack and environmental temperature in the infrastructure monitoring system. We proposed and experimentally demonstrated a distributed optic-fiber sensor based on the Raman loop configuration and fiber loss characteristic for detecting the temperature and structure's crack. Among them, the Raman loop configuration with reference fiber is proposed to detect the temperature profile along the sensing fiber. It can eliminate the influence of external physical perturbation on the temperature measurement results, and do not require pre-calibration process before measurement. The temperature experimental results show that the temperature accuracy and spatial resolution can reach up to 0.28°C and 1.2 m with the response time of 1.04 s. In addition, the information of crack is extracted by using the loss characteristics of Stokes, which is based on optical time domain reflectometry. The experiment results indicate that the fiber loss coefficient keeps a good linear variation between the crack ranges of 1.6 mm and 5.6 mm. The studies achieve the temperature and crack measurement only by one fiber.

show abstract

“…If you are using an existing system, it will take time to identify and determine the cause of the fire, especially unless the firefighter is in a very small area. With an easy-to-handle fire alarm system, firefighters instantly know the cause of the fire [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Smart Fire Detector utilizing IoT-based Zigbee Sensor

Park

Kim

2022

IJEECS

View full text Add to dashboard Cite

<pre>There are several differences between the two types of alarm systems, conventional systems and addressable systems. It is important to carefully determine the introduction of a fire alarm system according to the installation environment. Talking about the main difference relates to how the connected device communicates with the main control panel by sending a signal. Cost is another factor that can be a determinant of your chosen fire alarm system. In this paper, we proposed smart addressable fire detection system. In the proposed system, IoT was used and the network was constructed using ZigBee module. In the configured network, it consists of a local server and a control server. The local server controls the addressing sensor and sends the information obtained from the sensor to the control server. The control server receives data transmitted from the local server and enables quick fire action. In the actual implementation, the local server used the Lycra controller and ZigBee module. In addition, the control server used the Raspberry Pi and ZigBee modules and connected to the Ethernet so that the administrator could monitor or control the local server.</pre>

show abstract

Long-Range Raman Distributed Fiber Temperature Sensor With Early Warning Model for Fire Detection and Prevention

Cited by 66 publications

References 25 publications

Application of Raman and Brillouin Scattering Phenomena in Distributed Optical Fiber Sensing

Application of Raman and Brillouin Scattering Phenomena in Distributed Optical Fiber Sensing

Temperature and Crack Measurement Using Distributed Optic-Fiber Sensor Based on Raman Loop Configuration and Fiber Loss

Smart Fire Detector utilizing IoT-based Zigbee Sensor

Contact Info

Product

Resources

About