Cold-chain transportation environment prediction method and system

A forecasting method and cold chain transportation technology, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve the problem of high sensitivity of forecasted values ​​and achieve the effect of avoiding risks

Inactive Publication Date: 2017-09-08
NANJING AGRICULTURAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] 1 Accuracy error control, because the temperature difference and humidity difference in cold chain transportation are relatively small, w...

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  • Cold-chain transportation environment prediction method and system
  • Cold-chain transportation environment prediction method and system

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Embodiment Construction

[0028] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

[0029] Such as figure 1 As shown, the basic flowchart of the present invention comprises the following steps:

[0030] Step 1: According to the historical data, preprocess the historical data, classify to establish the Markov state value,

[0031] Step 2: Divide the normal environment range, each interval corresponds to a state; calculate the corresponding discrete distribution probability, and complete the modeling;

[0032] Step 3: Carry out BP neural network modeling with historical data;

[0033] Step 4: Complete the data prediction, and determine whether the vehicle environment data will be abnormal in the future accordin...

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Abstract

The present invention relates to a cold-chain transportation environment prediction method and system. According to the present invention, a Markov model and a BP neural network are utilized to predict the cold-chain transportation environments, thereby monitoring the abnormal states of the cold-chain transportation environments. The cold-chain transportation environments mainly are temperature, humidity and illumination, according to the principle that different transportation articles correspond to different health data, the Markov model is utilized to divide the final states of the data into the normal and abnormal states. Actually, by setting the states of the different environmental data segments according to the storage environmental indexes of the different transportation articles, the smaller environment fluctuation can refine the data risk indexes, the cold chain vehicle environmental trend is evaluated by comparing the predication results and the segmented data and according to the risk coefficients, and the quality of the transportation articles is guaranteed by prediction.

Description

technical field [0001] The invention relates to the field of food processing, in particular to the cold chain transportation link in the food processing, in particular to a method of predicting the cold chain transportation environment by using a Markov model and a BP neural network. Background technique [0002] Cold chain refers to that after perishable food is purchased or fished from the place of origin, in product processing, storage, transportation, distribution and retail, to the hands of consumers, all links are always in the low temperature environment required by the product to ensure Special supply chain system for food quality safety, loss reduction, and pollution prevention. In this system, temperature, humidity, and light control are particularly important, which are directly related to the realization of the entire cold chain effect. Therefore, whether it is in the cold chain logistics industry or in the production and sales of food and other perishable produ...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06K9/62G06N3/02
CPCG06N3/02G06Q10/0832G06F18/295
Inventor 徐焕良车建华熊迎军周祥陆诚曹云林初友戴莉
Owner NANJING AGRICULTURAL UNIVERSITY
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