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Miniature hydrogen sensor -driven design and signal detection technology

Author: XiongJunCheng
Tutor: WangYaFei
School: University of Electronic Science and Technology
Course: Physical Electronics
Keywords: piezoelectric-sound-resonance cavity (PSRC) frequency estimation filter digital signal processing
CLC: TP212
Type: Master's thesis
Year: 2009
Downloads: 96
Quote: 4
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Abstract


With the development of modern industry, hydrogen as an important industrial raw material has been widely used in the electric power, aerospace, chemical and other sectors. However, the uncertainty of hydrogen leakage is likely to endanger the life and cause a great damage to the industrial equipment. Therefore, how to measure the concentration of the hydrogen accurately and fast on-line is becoming increasingly important. Because of the disadvantages of the Hydrogen detection methods at present, the hydrogen micro-sensor detection system was designed based on a new type of piezoelectric-sound-resonance cavity (PSRC). The article mainly includes the following:1. The characteristics of hydrogen have been studied and the principles of hydrogen detection were compared. The detection methods of micro-structure sensor based on the piezoelectric-sound-resonance cavity, the working principle of the sensor, the map of the structure, and vibration analysis have been given.2. The hardware platform of hydrogen micro-sensor detection system based on the piezoelectric-sound-resonance cavity (PSRC) was constructed. The drive circuit of the sensor and signal detection circuit was designed according to the working principle of the sensor. Processing unit with the ADSP-BF531 as the core was confirmed. The design of the ADSP-BF531 minimum system was proposed. The circuit schematic diagram and physical map has been given.3. The software of hydrogen micro-sensor detection system based on the piezoelectric-sound-resonance cavity (PSRC) was designed. The software include the user interface, the flash programmer, the communication program between the DSP and all hardware modules, as well as the DSP algorithm including filtering, frequency estimation, and spectral peak search.4. Through the experiment, the performances of the system were tested, and the results were analyzed.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
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