An online monitoring system for oil color

Abstract

The invention discloses a grease color on-line monitoring system. The system comprises a mixer and a filter. The mixer is provided with a quantitative addition device for adding auxiliary materials. The mixer is used for decolorizing grease to be decolorized and transporting the decolorized grease to the filter to be filtered. An image detection device is disposed after the filter, collects images of the filtered decolorized grease and sends the collected image information to a PLC controller. The PLC controller analyzes and processes the image information, and then controls the quantitative addition device to adding the auxiliary materials quantitatively. In a corn oil refining processing process, auxiliary material addition in a corn oil decolorizing process is automatically controlled, thus achieving automatic auxiliary material addition in grease decolorizing processes and making the automatic control of the grease color in the grease decolorizing processes to be possible.

Description

technical field [0001] The invention relates to the field of on-line monitoring of oil color, in particular to an on-line color monitoring system in the refining process of corn oil. Background technique [0002] Oil is an important raw material for food and industry, and its quality directly affects the price and sales of products. Oil color is the most direct and intuitive quality index of oil quality, which reflects the quality of oil products and the quality changes during storage, and is an important basis for consumers to choose oil. [0003] Color is one of the important indicators of oil quality inspection. The color of oil is usually determined by the Lovibond colorimetric method. Some people in China determine the color of oil by measuring the content of chlorophyll, lutein and other pigments in oil. Some also use potassium permanganate, potassium dichromate and iodine solution to make color scales. All of these determination methods for comparatively determining...

AI Technical Summary

Problems solved by technology

The Lovibond colorimetric method has different observation effects and standards from person to person, and this method is suitable for laboratory operations. Due to its own defects such as cumbersome detection process, long time-consuming, and difficult quantification of detection data, it is difficult to realize automatic control of the oil processing process.

The existing automatic oil color automatic detection mostly uses image analysis technology to compare and detect the color, which has the disadvantages of high equipment requirements, relatively slow data processing speed, and long reaction time for adding auxiliary materials caused by system disturbance.

At the same time, the addition of auxiliary materials in the decolorization section of corn oil refining still relies on manual operation based on traditional experience and intuition. The large consumption of auxiliary materials also leads to a large loss of neutral oil in the oil, which will lead to the secondary processing of a large amount of oil, increase the repeated consumption of water, electricity, and lead to an increase in processing costs

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