Anhydrous storage environment-oriented dynamic oxygen content prediction method and device

Abstract

The invention provides an anhydrous storage environment-oriented dynamic oxygen content prediction method and device. The dynamic oxygen content prediction method and device comprises the following steps of: calculating correlation coefficients between time sequences of carbon dioxide, temperature and humidity of each group of samples under anhydrous storage environment and a time sequence of oxygen; obtaining correlation degrees between carbon dioxide, temperature and humidity and oxygen between two adjacent time nodes on the basis of the correlation coefficients; and establishing a dynamic oxygen content prediction model on the basis of the time sequence of the oxygen and a time sequence of a parameter corresponding to the maximum correlation degree in the correlation degrees, so as to realize dynamic oxygen content prediction under the anhydrous storage environment. The dynamic oxygen content prediction method provided by the invention is capable of correctly obtaining oxygen content in the anhydrous storage environment, effectively avoiding accidental errors caused single oxygen obtaining methods, and effectively reducing the economic loss caused by oxygen deficit of living bodies during storage.

Description

technical field [0001] The invention relates to the technical field of detection, and more specifically, to a method and device for dynamically predicting oxygen content in an anhydrous storage environment. Background technique [0002] With the improvement of people's living standards, people's demand for various agricultural products and seafood products has increased, which requires the market to ensure sufficient supply, but different types of organisms have certain requirements for the living environment, and the main source of supply is In coastal cities and other farmers, it is difficult to sell and catch immediately in most areas, which requires a large amount of transportation of various agricultural products and seafood products, and temporary storage at the point of sale, but whether it is during transportation or at the During temporary cultivation, it is not uncommon for organisms to die due to lack of oxygen due to problems such as storage space size and storag...

AI Technical Summary

Problems solved by technology

[0003] At present, there are few predictions about the oxygen content in the anhydrous storage environment of organisms, and there are many prediction methods for a certain variable, such as time series prediction method, neural network, fuzzy control method and gray scale prediction, etc., but these methods focus on Variables change their own angles or start from multiple variables for training. The former relies on the accuracy of the collected data. If the sensor or other collection devices fail, the data of important parameters cannot be obtained, and the prediction method will have no effect. The change of factors is also easily affected by other factors, which cannot be excluded when predicting; the latter uses training methods without specific formulas, and the cost of hardware is relatively high, which cannot meet the needs of the public. Even if there are specific formulas, the calculation process is complicated , the disadvantage of long operation time

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