The invention belongs to the technical field of
food safety detection, and particularly relates to an intelligent food pathogenic bacterium detection method based on bimodal sensing fusion and an application device thereof. According to the method, the advantages of
electricity and colorimetric bimodal sensing for cooperatively detecting food pathogenic bacterium
metabolism volatile organic compounds (VOCs) are creatively integrated, a bimodal detection fusion model is constructed, environmental interference factors are eliminated through a
compensation algorithm, and recognition of food
pathogenic bacteria is achieved in combination with an
artificial intelligence algorithm. The application device comprises a metabolic VOCs acquisition unit, a bimodal sensing unit, an environmental parameter acquisition unit, a display and early warning unit, an intelligent
processing unit and a man-
machine interaction terminal. Wherein the bimodal sensing unit of the device can synchronously obtain electrical response and color change information of food
pathogenic bacteria metabolism VOCs, a detection result is output after
algorithm processing, and then reliable identification, real-time early warning and intelligent monitoring of the food
pathogenic bacteria are achieved. The bimodal sensing fusion food pathogenic bacterium intelligent detection method and the application device thereof provide an efficient solution for
food safety monitoring, and have wide application prospects in the fields of
food industry and
public health.