Abstract: A method for identifying a producing area of Rizhao green tea is provided to identify Rizhao green tea in a trace amount accurately, conveniently, and rapidly, providing a new theoretical method and scientific basis for tracing the producing area of the Rizhao green tea. The method includes the following steps: S1, collection and preprocessing of tea leaf samples; S2, thermogravimetric analysis-Fourier transform infrared spectroscopy (TGA-FTIR) coupled testing; S3, infrared spectrogram analysis; S4, thermogravimetric-differential thermogravimetric spectrogram analysis; S5, estimation of kinetic parameters of the Rizhao green tea; S6, calculation of the pyrolysis parameters of the Rizhao green tea; and S7, establishment of an Ea prediction model for Rizhao green tea. A prediction model is established for the activation energy Ea of a Rizhao green tea leaf sample Y1, and an input to the prediction model is merely three characteristic parameters. The problem of model complexity is fundamentally solved.

Abstract: An intelligent detection method for a flower opening degree in jasmine tea scenting is applied to jasmine flower opening degree detection and to solve the problems of low efficiency and low detection accuracy of manual detection. The method includes the following steps: S1, acquisition of data and creation of data sets; S2, construction of augmented data sets and division of a training set and a validation set; S3, construction of a yolo-v8 based improved detection model for jasmine flowers of different opening degrees; S4, training and validation of the improved detection model for jasmine flowers of different opening degrees; and S5, identification of a jasmine flower to be detected. The method avoids time-consuming and laborious, and inefficient manual detection, liberates the labor force, reduces the cost input, and has high practicability.

Abstract: A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.

Abstract: A method for constructing and training a Decentralized Migration Diagram Neutral Network (DMDNN) model for a production process, including: determining a production task input management node, distributed management nodes and a granularity of each of the distributed management nodes, and constructing a production system network; constructing network calculation nodes on each of the distributed management nodes; constructing and training a DMDNN model; and applying the trained DMDNN model in management and control of the production process.

Abstract: It is described a method for pushing media information in real time, where information of user focus on a current page is determined, a keyword is searched for according to the information of user focus, and media information matching the found keyword is pushed in real time. It is also described a device for pushing media information in real time. With what described, it is possible to improve real-time performance and accuracy in pushing media information.