Abstract: The invention discloses a method for measuring a semiconductor gas sensor based on virtual alternating current impedance. The method comprises: combining measurement parameters of virtual measurement frequencies in a first predetermined range and virtual parallel capacitance values in a second predetermined range, and measuring gas with known concentrations at each characteristic quantity among nine characteristic quantities in the case of each combination; obtaining multiple characteristic values corresponding to the same gas concentration at each characteristic quantity after traversing all parameter combinations and all nine characteristic quantities; and selecting virtual measurement frequencies in a third range, virtual parallel capacitance values in a fourth range and one or several corresponding characteristic quantities as the finally selected measurement parameters for measuring the unknown gas concentration.

Abstract: The present invention discloses a measuring method for a semiconductor gas sensor based on alternating-current impedance. The method includes the steps: connecting the semiconductor gas sensor to a capacitor in parallel, connecting an alternating-current impedance measuring device to the semiconductor gas sensor and the capacitor, combining measuring parameters under measuring frequencies within a first preset range and parallel capacitance values within a second preset range, and measuring a gas with a known concentration according to each of nine features under each combination; traversing all parameter combinations and all the nine features to obtain a plurality of feature values corresponding to the same gas concentration under each feature; and selecting measuring frequencies within a third range, parallel capacitance values within a fourth range and a certain or several of the corresponding features as measuring parameters finally selected for measuring an unknown gas concentration.

Abstract: Embodiments of the present disclosure relate to a method for detecting an air discharge decomposed product based on a virtual sensor array, comprising: fabricating a virtual sensor array; disposing the virtual sensor array in a hermetically sealed gas chamber, energizing, and initializing; performing gas-sensitive testing to the virtual sensor array and storing a testing result as samples to store; and building a convolutional neural network model diagram for identifying contents of gas components, and identifying an atmosphere. The virtual sensor array fabricated by the present disclosure may reduce the array size and the overall volume of a device to an extreme content; the built convolutional neural network may dig other feature information besides a response value from a response curve of a sensor, thereby effectively improving identification efficiency and identification accuracy.

Abstract: The present invention discloses a measuring method for a semiconductor gas sensor based on alternating-current impedance. The method includes the steps: connecting the semiconductor gas sensor to a capacitor in parallel, connecting an alternating-current impedance measuring device to the semiconductor gas sensor and the capacitor, combining measuring parameters under measuring frequencies within a first preset range and parallel capacitance values within a second preset range, and measuring a gas with a known concentration according to each of nine features under each combination; traversing all parameter combinations and all the nine features to obtain a plurality of feature values corresponding to the same gas concentration under each feature; and selecting measuring frequencies within a third range, parallel capacitance values within a fourth range and a certain or several of the corresponding features as measuring parameters finally selected for measuring an unknown gas concentration.

Abstract: The invention discloses a method for measuring a semiconductor gas sensor based on virtual alternating current impedance. The method comprises: combining measurement parameters of virtual measurement frequencies in a first predetermined range and virtual parallel capacitance values in a second predetermined range, and measuring gas with known concentrations at each characteristic quantity among nine characteristic quantities in the case of each combination; obtaining multiple characteristic values corresponding to the same gas concentration at each characteristic quantity after traversing all parameter combinations and all nine characteristic quantities; and selecting virtual measurement frequencies in a third range, virtual parallel capacitance values in a fourth range and one or several corresponding characteristic quantities as the finally selected measurement parameters for measuring the unknown gas concentration.

Abstract: Embodiments of the present disclosure relate to a method for detecting an air discharge decomposed product based on a virtual sensor array, comprising: fabricating a virtual sensor array; disposing the virtual sensor array in a hermetically sealed gas chamber, energizing, and initializing; performing gas-sensitive testing to the virtual sensor array and storing a testing result as samples to store; and building a convolutional neural network model diagram for identifying contents of gas components, and identifying an atmosphere. The virtual sensor array fabricated by the present disclosure may reduce the array size and the overall volume of a device to an extreme content; the built convolutional neural network may dig other feature information besides a response value from a response curve of a sensor, thereby effectively improving identification efficiency and identification accuracy.