Dairy product cold-chain logistics quality safety early-warning method

Abstract

The invention relates to a dairy product cold-chain logistics quality safety early-warning method, which comprises the following steps: analyzing factors influencing quality safety of dairy products in links of raw milk production, dairy product processing, dairy product transportation and dairy product sales, and screening important indexes in combination with a construction principle of an index system to establish a dairy product cold-chain logistics quality safety early-warning index system; and determining the weight of the dairy product cold-chain logistics quality safety early warning index system by using an SPSS tool according to a principal component analysis method. On the basis of a dairy product cold-chain logistics quality safety early-warning index system, an early-warning model of a long-short-term memory neural network based on parameter optimization is proposed, and is compared with a dairy product cold-chain logistics quality safety early-warning model constructed by adopting a BP neural network, a recurrent neural network, the long-short-term memory neural network and the optimized recurrent neural network. According to the invention, an enterprise can control the quality of the dairy products in the whole cold-chain logistics process, so that the cost of the dairy product cold-chain logistics process is reduced.

Description

technical field [0001] The invention belongs to the technical field of early warning of quality and safety of cold chain logistics, and in particular relates to a method for early warning of quality and safety of cold chain logistics of dairy products. Background technique [0002] Long Short-term Memory Neural Network (Long Short-term Memory, LSTM) is a special type of Recurrent Neural Network (RNN), which can learn long-term dependent information. There are three gate structures in the neuron structure of LSTM, which are input gate, output gate and forget gate. In LSTM, the first step determines what information we will discard from the cell state through the forget gate; the second step determines what new information will be put in the cell state in the input gate; the third step is in the output gate Determines the value to output. The input gate, forget gate, output gate, and activation function cooperate with each other to filter and retain useful information from h...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a method for early warning of the quality and safety of dairy product cold chain logistics, which solves the problems caused by insufficient pre-monitoring in the process of dairy product cold chain. chain link, and further affect the quality of dairy products when they reach the terminal, it has the characteristics of high prediction accuracy, good generalization ability and high reliability

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