A Method for Establishing a Pit Mud Moisture Prediction Model Based on Hyperspectral Image Technology

Abstract

The invention relates to a method for establishing an optimal prediction model of pit mud moisture based on hyperspectral image technology. First, hyperspectral image information in the near-infrared and visible light bands is collected, and after black and white correction to eliminate errors caused by uneven illumination, extract interesting The average spectral information of the region is used to estimate the average spectral reflectance of each pixel in the image. After unprocessed and SNV and different modeling methods, a quantitative prediction model based on the full band and characteristic spectrum is established respectively. By comparing the training set and the test The size of the coefficient of determination and the root mean square error are set to screen out the best model for quantitative prediction of pit mud moisture. It provides theoretical basis and technical support for major liquor brewing enterprises to quickly evaluate the quality of pit mud, realize artificial cultivation and protection of pits, and provide technical support for the transformation and upgrading of liquor brewing industrialization and digital and intelligent online real-time monitoring of pit mud fermentation status.

Description

technical field [0001] The invention relates to a method for establishing a pit mud moisture prediction model based on hyperspectral image technology, and belongs to the technical field of solid-state fermentation index detection. Background technique [0002] Solid-state fermentation technology has a long history in my country, and it is also a unique brewing process in my country. In the liquor brewing industry, pit mud is the basis of fermentation, in which caproic acid bacteria are the main beneficial microbial flora, which use the nutrients in the fermented grains to produce acid and ester, and ethyl caproate is the main body of Luzhou-flavor liquor Therefore, pit mud plays a decisive role in the quality of Luzhou-flavor liquor in the production process, and it is more important to evaluate the quality of pit mud. Without good pit mud, it is impossible to produce superior quality wine. [0003] Water is the basis for the survival of beneficial microbial flora in pit m...

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Problems solved by technology

[0004] The shortcomings of the above patents are: only images and spectral information in the visible light region are collected, but the pre-test and data query found that water has obvious absorption in both visible light and near-infrared bands, and the absorption of the latter is stronger; Without comparison between the full spectrum and the characteristic spectrum, the spectral information corresponding to the characteristic wavelength is directly selected as the input variable of the model, which is easy to miss important information; without preprocessing and denoising, it is easy to include non-sample signals into the calculation; the modeling method is single

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