Taiyuan University of Technology

Dong Wang

Yuncai Wang

Mingjiang Zhang

Lijun Qiao

Jianzhong Zhang

Jian Li

Baoquan Jin

Yu Wang

Tao Wang

Wei Huang

Litong Liang

Chunyan Tu

Zeyu Peng

Yang Xu

Jun Wang

Baoqiang Yan

A self-calibration detection device and a temperature demodulation method oriented to a fiber Raman temperature sensing system. The self-calibration detection device comprises a fiber Raman thermodetector, thermostatic baths, a multi-mode sensing fiber, and a multi-mode reflector. The fiber Raman thermodetector comprises a pulsed laser whose output end is connected to the input end of a WDM. Two output ends of the WDM are respectively connected to input ends of a first and second APDs. Output ends of the first and second APDs are respectively connected to input ends of a first and second LNAs. Output ends of the first and second LNAs are connected to the input end of a data acquisition card whose output end is connected with the input end of a computer. The temperature demodulation method can solve the problems of low temperature measuring accuracy, lower temperature measurement stability and low temperature measurement efficiency.

Self-calibration detection device and temperature demodulation method oriented to fiber Raman temperature sensing system

A temperature demodulation method oriented toward a distributed fiber Raman temperature sensing system, the method comprising the following steps: step 1 of constructing a high-precision temperature detection device oriented towards a distributed fiber Raman sensing system; step 2 of performing signal processing with respect to Stokes light and anti-Stokes light at a calibration stage; step 3 of performing signal processing with respect to Stokes light and the anti-Stokes light at a measurement stage; and step 4 of obtaining a high-precision temperature demodulation technique oriented toward the distributed fiber Raman sensor. The method is used to effectively resolve the issue of low temperature measuring accuracy caused by Rayleigh crosstalk in existing distributed fiber Raman temperature measurement systems, and temperature measurement accuracy thereof is expected to fall within &#xb1;0.1&#xb0; C. The method is applicable to distributed fiber Raman temperature measurement systems.

High-precision temperature demodulation method oriented toward distributed fiber Raman sensor

Processes for macroscopically separating a maceral concentrate from raw coal are disclosed. In some embodiments, a process includes the following steps: crushing and sieving the raw coal to obtain a first coal sample and a second coal sample; subjecting the first coal sample to a heavy medium cyclone separation process; and subjecting the second coal sample to a froth flotation process. The first coal sample has a particle size within a first particle size range, and the second coal sample has a particle size within a second particle size range. In other embodiments, the froth flotation process uses a froth flotation agent including a foaming agent and a collector. The foaming agent includes at least one item selected from the group consisting of 2-octanol, terpenic oil, and polyethylene glycol (PEG). The collector includes at least one item selected from the group consisting of kerosene, diethyl phthalate (BET), and diesel.

Process for macroscopically separating maceral concentrate from raw coal

Growing community of inventors

Taiyuan, China

Dong Wang