Fiber Optic Temperature and Gas Concentration Sensor for Mine Goaf Area Inner Detecting

2012 ◽  
Vol 524-527 ◽  
pp. 302-305
Author(s):  
Yu Bin Wei ◽  
Xu You Wang ◽  
Min Xin ◽  
Tong Yu Liu ◽  
Chang Wang

Spontaneous combustion in coal goaf area is one of major disasters in coal mines. Detection technology based on signature Gas and Temperature is the primary means of spontaneous combustion forecasting of coal goaf area. A real-time remote fire detection system is proposed based on tunable diode laser absorption spectroscopy technology and FBG temperature sensing technology, to achieve valid detect of gas concentration and temperature. The System include fiber mathen concentration sensor and fiber temperature sensor based FBG. The system achieved remote on-line monitoring of gas concentration and temperature in mine goaf, meet the fire forecast need for Coal goaf area. There are obvious advantages Compared with the existing beam tube monitoring system in coal mine.

1970 ◽  
Author(s):  
T. M. Trumble

The problems of providing a fire and overheat detection system for turbine-powered vehicles must be solved during the design phase of the vehicle. In order to accomplish this goal the vehicle design engineer must be aware of the basic constraints involved in the application of fire detection technology. This paper presents a condensed method for understanding, designing and evaluating fire and overheat detection systems. Advanced concepts and technologies such as optical redundancy and high temperature ultraviolet sensors are discussed. Performance of fire and overheat detection systems designed using this approach will provide maximum safety for those using the vehicles, as well as those in its operational envelope.


2012 ◽  
Vol 433-440 ◽  
pp. 4082-4086
Author(s):  
Yue Dong Chen ◽  
Chang Zhong Yu

The essay introduce the hardware Design based on the Line detection system, and apply the wavelet analysis theory to the low clutch’s fault signal processing to fulfill the low clutch’s noise detection which based on the wavelet transform. Practice shows that the continuous wavelet signal has a strong ability of fault detection, if reasonable choice of wavelet function and various parameters among the fault detection, the local feature of the fault signal can be intuitively got, thus supply the products with a effective tool. The current washing machine clutch all have a washing deceleration function, so it is called as low clutch. As one of the most common parts of rotating machinery, low clutch is also one of the easily damaged parts among the rotating machinery. According to statistics, thirty percent of the rotating machinery’s operational problems caused by the bearing faults[1]. Bearing defects can cause severely machine vibration and generation noise, or even cause damage to the equipment[4]. This article is mainly detect the low clutch’s vibration noise in operation by accelerometer, and deal with the collected data through wavelet transform, thus realize the On-line condition monitoring to the low clutch.


2014 ◽  
Vol 11 (4) ◽  
pp. 397-402 ◽  
Author(s):  
Guimei Wang ◽  
Shuai Zhang

Recently, filling mining is becoming more and more important in the mining industry and has been used widely. In order to better control the process of paste filling mining and acquire the accurate amount of filling material used, and to reduce the waste of paste filling material, we should detect in real time the paste flow in the pipe during the process of filling. This paper introduces in detail the basic principle of ultrasonic detection technology and the hardware composition and working principle of the on-line detection system. The author uses the theory of unascertained error analysis of detecting data and implements ultrasonic detection technology to realize on-line detection of paste filling pipe flow.


2011 ◽  
Vol 66-68 ◽  
pp. 1714-1717
Author(s):  
Zhong Wei Ren ◽  
Zhen Yun Duan ◽  
Wen Hui Zhao ◽  
Guo Fu Tian ◽  
Yuan Tao Wang

In order to improve the welding quality and welding speed of irregular bellows, according to the characteristic of welding seam of bellows, an automatic and on-line detection technology is proposed in welding technique. The infrared laser sensor is used for measuring with non-contact and real-time detection of welded joint center, the position of welding seam is transfered by the IEEE-1394(Fire Wire). After data preprocessing, the coordinates of feature point are extracted, be storaged and forecasted, then sent to the control system, the moving of welding gun is controlled along track scanning. According to the accuracy analysis of on-line detection system of bellows, the technology of tracking measurement is stable and reliable, and it is effective for improving measuring accuracy and efficiency.


2019 ◽  
Vol 9 (3) ◽  
pp. 4196-4199 ◽  
Author(s):  
F. Alorifi ◽  
S. M. A. Ghaly ◽  
M. Y. Shalaby ◽  
M. A. Ali ◽  
M. O. Khan

This paper introduces detection techniques of target gas concentration based on infrared absorption spectrum method and the simulation of the gas detection system using LabVIEW. In this work, the harmonic detection is performed by wavelength modulation technique with a related frequency signal to cover the measured signal and get the gas absorption coefficient that can be analysed to give a gas concentration. A series of simulations are carried out to scan weak absorption lines and extract the second harmonic curve of the absorption spectrum of the target gas. The absorption and second harmonic curves are acquired by changing the parameters of the target gas concentration and line width. This work claims to be a contribution to the study and the comprehension of gas detection system based on tunable diode laser absorption spectroscopy and can serve as a basis for practical data acquisition.


Author(s):  
Bin Xu ◽  
Dongliang Yu ◽  
Jiayong Wu ◽  
Hongchao Wang ◽  
Dongjie Tan ◽  
...  

An airborne infrared laser leak detection technology is proposed to detect natural gas pipeline leakage by helicopter which carrying a detector that can detect a high spatial resolution of trace of methane on the ground. The principle of the airborne infrared laser leak detection system is based on tunable diode laser absorption spectroscopy. The system consists of an optical unit including the laser, camera, helicopter mount, electronic unit with GPS receiver, a notebook computer and a pilot monitor. And the system is mounted on a helicopter. The principle and the architecture of the airborne infrared laser leak detection system are presented. Field test experiments are carried out on West-East Natural Gas Pipeline of China, and the results show that the airborne laser leak detection method is suitable for detecting gas leak of pipeline on plain, desert and hills but unfit for the area with large altitude diversification.


Author(s):  
X.Y. Chen ◽  
Y Peng ◽  
Q. Miao ◽  
L Ge ◽  
X.Y Zheng ◽  
...  

As a clean energy, natural gas accounts for an increasing proportion of my country's energy consumption structure. Due to the flammable and explosive characteristics of natural gas, natural gas leakage can easily cause safety accidents. This paper has designed a gas concentration detection system based on the principle of infrared absorption, which can detect the methane concentration in natural gas, quickly determine whether there is a methane leak, and effectively protect people's lives and property.


2022 ◽  
Vol 2146 (1) ◽  
pp. 012028
Author(s):  
Lijun Sun

Abstract Fire is a common disaster, which causes major threats and losses to human life and property. Countries around the world have been committed to the study of the mechanism and internal mechanism of fires, with the goal of preventing fires from occurring and minimizing the losses caused by fires. Among the many methods, fire detection technology is an effective method to prevent and reduce the occurrence of fire. This article focuses on the research of the fire detection system based on artificial intelligence technology, improves the accuracy of the fire detection system by introducing artificial intelligence technology into the fire detection system, and uses experiments to verify the error rate of the artificial intelligence technology fire detection system. The experimental results show that the system’s detection of fire is not very different from the actual situation, and the error rate is within 10%. Then compared with the traditional detection system, the detection performance is relatively high, and the error rate can be reduced by one time.


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