The invention relates to a method for identifying wine products, and belongs to the technical field of wine identification. Through combination of headspace solid-phase microextraction, liquid-liquidextraction, a full two-dimensional gas chromatography / time-of-flight mass spectrometry and a machine learning algorithm, Baijiu is used as model wine, a wine identifying method which does not rely oncharacteristic component analysis is established, and the method is used for analyzing different wine samples. By the method, individual compounds in an atlas are required to be analyzed, and categories, brands, strains, qualities, flavors, production places, years and the like of wines are accurately identified only based on raw data acquired by instrumental analysis and a recognition algorithm model; compared with the conventional method, the method provided by the invention has the advantages as follows: the method is simple and convenient, is independent of human experience, and is more objective and reliable and faster, and with increase in a sample library, more accurate identification can be achieved.