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Grain main pollutant risk prediction and control method

A main pollutant and risk prediction technology, applied in the interdisciplinary field of food safety and control, to achieve the effects of improving prediction accuracy, reasonable colony distribution model, and easy quantitative control

Pending Publication Date: 2022-07-29
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem of quantitatively controlling the temperature and moisture in the grain storage process, thereby controlling the growth rate of the microbial pollutant mold of the grain. Quantitative prediction by modeling, and then quantitative calculation with control algorithm to obtain the optimal storage environment influencing factors and reduce the risk of grain mildew

Method used

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  • Grain main pollutant risk prediction and control method
  • Grain main pollutant risk prediction and control method

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Embodiment 1

[0188] Using the experimental data of early prediction of fungal damage in rice storage as the fitting data, "Research on Early Prediction of Fungal Damage in Rice Storage" (Tang Fang) simulates the storage of rice in different environments at temperatures of 10°C, 15°C, and 20°C. , 25 ℃, 30 ℃, 35 ℃ six grades, the moisture is 12.5%, 13.4%, 14.5%, 15.6%, 16.2% five grades, a total of 30 groups, for simulated storage, the number of fungal spores every 10 days Detection, a total of 180 days of data.

[0189] Step 1. Based on the Rosso cardinal model, expand into a microbial colony diameter growth rate model with temperature and moisture as the influencing factors, and determine the fixed parameters in the model;

[0190] Take the fixed parameters of temperature and moisture as the corresponding values ​​in Table 1, and the corresponding τ(T)ρ(M e ) at different temperatures and moisture values ​​such as image 3 Shown: at each coordinate (T, M e ) has a numerical value, and t...

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Abstract

The invention provides a grain main pollutant risk prediction and control method, and belongs to the interdiscipline of food safety and control. The method specifically comprises the following steps: firstly, based on a Rosso cardinal model, expanding the Rosso cardinal model into a microbial colony diameter growth rate model taking temperature and moisture as influence factors; then, according to bacterial colony distribution characteristics, a single bacterial colony diameter growth model is converted into a fungal spore number growth model based on a probability density function of two-dimensional normal distribution, and parameters are fitted; secondly, discretizing and incrementing the colony diameter growth model, converting the colony diameter growth model into a discrete model as a colony diameter prediction model, and predicting the colony diameter and the number of fungal spores; and finally, establishing an objective function for optimal control of the main pollutants of the grains, and controlling the predicted value of the diameter of a single bacterial colony. The objective function is solved, and the optimal control quantity of the influence factors is obtained; by controlling the number of generated fungal spores, the optimal storage environment is obtained, and the mildew degree in the future is relieved.

Description

technical field [0001] The invention relates to a risk prediction and control method for major food pollutants, belonging to the interdisciplinary subject of food safety and control. Background technique [0002] Grain is the foundation of survival. my country's grain is mainly divided into grains, beans and potatoes. Cereals are the most important grains, among which, rice is one of the most important grains in our country. The grain is stored after a unified mass harvest. Improper storage conditions will lead to the production of a large number of microbial pollutants in the grain, that is, the proliferation of molds, which will lead to mildew and directly reduce the quality of the grain. Too low quality will reduce the food value. Therefore, microbial contaminants, namely molds, are the main contaminants of food. Severe mildew of grain will directly lose its edible value, so how to control the storage environment and predict the risk of major grain pollutants is a probl...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q50/02
Inventor 王立郑浪金学波王小艺于家斌白玉廷赵峙尧郭天洋
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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