Intelligent drying method based on online detection technology

Abstract

The invention provides an intelligent drying method and equipment based on an on-line detection technology. The method comprises the following steps: installing an on-line near-infrared analyzer; conveying the materials into a material crushing disc; conveying materials in the material crushing disc into the airflow drying system through the frequency conversion packing auger to be dried, and detecting the moisture content of the dried materials in real time through the online near-infrared analyzer. The online near-infrared analyzer is associated with parameters such as the rotating speed / frequency of the feeding auger, the steam pressure of the heat exchanger for airflow drying and the power of the induced draft fan, and automatic and intelligent control over the moisture content in thematerials is achieved. According to the method, the online near-infrared analyzer is used for automatically monitoring the moisture of the material, and the test result is accurate and rapid; the sampling mode has higher timeliness and sample representativeness; the method can realize automatic control of moisture, is high in automation and intelligence degree, can improve the moisture content ofmaterials, reduces steam consumption, and ensures the quality stability of samples.

Description

technical field [0001] The invention belongs to the technical field of grain, oil and food processing, and in particular relates to an intelligent drying method and equipment based on online detection technology. Background technique [0002] Food processing refers to grain grinding, feed processing, vegetable oil and sugar processing, slaughtering and meat processing, aquatic product processing, and food such as vegetables, fruits, and nuts that are directly used as raw materials of agricultural, forestry, animal husbandry, and fishery products The processing activities are a type of agricultural product processing industry in a broad sense. In the process of certain food processing, food needs to be dried. Commonly used drying methods include microwave drying, infrared radiation drying, impact drying, osmotic drying, and halogen drying. , fluidized bed drying and freeze drying, no matter what drying method is used, in order to achieve the ideal drying effect, it is necessa...

AI Technical Summary

Problems solved by technology

Due to the lack of mature online detection instruments in the existing food moisture testing, the testing and determination of moisture in the drying process mainly depends on the workers' operating experience and irregular sampling tests in the laboratory. The accuracy is closely related to the skill level and work experience of the workshop workers. In addition, workers in different seasons have different perceptions of materials with the same moisture content. The moisture measurement in the laboratory takes a relatively long time, and it takes 20 minutes at the fastest. Feedback adjustment Relatively lagging behind, the guiding significance for production is limited. At the same time, the current drying process is mainly determined by sampling and testing of on-site workers. The cycle is long, and there is a certain probability of misjudgment based on single-point testing.

Therefore, none of the existing moisture detection methods can make the product achieve the desired drying effect.

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