Artificial intelligence apparatus for detecting target gas in small sample domain and operating method thereof

An artificial intelligence apparatus for detecting a target gas comprising:

• a mixed gas measurement unit configured to measure a mixed gas collected in a plurality of domains through a sensor array to generate sensing data including heterogeneous domain measurement data measured from the mixed gas collected in a domain different from the target gas and target domain measurement data measured from the mixed gas collected from a same domain as the target gas;
• a heterogeneous intelligence model deep learning unit configured to receive the heterogeneous domain measurement data to train a heterogeneous intelligence model;
• a target intelligence model deep learning unit configured to receive the heterogeneous intelligence model and the target domain measurement data to train a target intelligence model;
• and
• a target gas detection unit configured to determine whether an environmental gas includes the target gas using the target intelligence model;
• wherein the mixed gas measurement unit is configured to divide the collected mixed gas into a plurality of environmental gas bags, to distribute the target gas to a plurality of target gas bags according to a concentration, to generate a plurality of sample gas bags by mixing each of the environmental gas bags and each of the target gas bags, to set a measurement environment of the sensor array with respect to the sample gas bags, and to measure the mixed gas of each of the sample gas bags depending on the set measurement environment to generate the sensing data;
• and
• wherein the heterogeneous intelligence model and the target intelligence model are trained using a CNN (Convolutional Neural Network) and a ResNet.