Hydrogen Sensors And Monitoring Technology

The world, today, faces serious energy crisis, the traditional fossil fuels in the nearfuture will exit the stage of history, and it will be replaced by the new energy. Amongthe many new energy products, Hydrogen with its clean, non-polluting, abundantoccupies an important position, however, the hydrogen will explore easily when thehydrogen content of the gas mixture is greater than4%. therefore, the use and transportof hydrogen must be real-time monitored. For the shortcomings of the existing sensor,the author designed a long life, high sensitivity, simple structure of the solid electrolytehydrogen sensor in this paper. And the combination of its output characteristics, theauthors designed an intelligent identification algorithm to identify the sensor outputsignal. In order to accurately test the sensor’s output signal, the embedded intelligentalgorithm. the authors also designed based on virtual instrument technologyexperimental platform to test the performance of the sensor experiments to verify theaccuracy of the algorithm. The main research contents are:Firstly, the author studied the solid electrolyte hydrogen sensor mechanismgenerates an electromotive force. According to the principle of the selection electrodeand the solid electrolyte, authors designed a two-electrode solid electrolyte hydrogensensor. After testing the parameters of such a sensor, dealing with the problems, theauthors proposed an improved two electrodes to optimize the hydrogen gas sensoroutput characteristics of the sensor.Secondly, for Nernst equation can be represented by the electromotive force andthe measured sensor output relationship between the hydrogen concentration in question.We designed the Genetic identification algorithm model, BP neural networkidentification algorithm model and Genetic Optimization BP identification algorithm toidentify of the sensor output signal. Comparing simulation results, author chooseGenetic Optimization BP identification algorithm model as the final modelidentification algorithm.Thirdly, to be able to accurately measure the sensor output EMF, and to verify theaccuracy of intelligent algorithms, authors designed an experimental platform based onvirtual instrument technology. The platform is consisted by reaction chamber, hardwareacquisition circuit, the next crew procedures and PC procedures constitute. By writingLabWindows/CVI virtual instrument program to embed a variety of intelligentalgorithm model of the hardware Identify data acquisition circuit output, and to showthe identification information of the hydrogen concentration in the PC real-time display.Finally, author designed the sensor performance test to test Sensor outputcharacteristics, sensor temperature characteristic, sensor drift, sensor dopingcharacteristics and sensitivity. In additional, author also design the experiment to validate the accuracy of Genetic Optimization BP identification algorithm.