Intelligent control method for loosening and moisture regaining equipment

Abstract

The invention discloses an intelligent control method for loosening and moisture regaining equipment. The method comprises the steps of establishment of a loosening and moisture regaining inlet moisture prediction model, establishment of a loosening and moisture regaining intelligent control model, model butt joint and the like. According to the invention, accurate intelligent control of the equipment is realized, the moisture non-uniformity of materials at a loose moisture regaining outlet is improved, the equalization level of products is improved, stable materials are provided for subsequent procedures, the tobacco shred quality is improved, meanwhile, the number of field operators can be reduced, the operation difficulty can be improved, original experience control is converted into system intelligent control, and the operation labor intensity of personnel is reduced.

Description

[0001] This application is a divisional application of the application number: 202011123011.0, and the title of the invention: the intelligent control system for loose moisture recovery equipment. technical field [0002] The invention relates to the tobacco industry, in particular to an intelligent control method for loose moisture regain equipment, which is suitable for the moisture regain treatment process of tobacco leaves, and is used to improve the moisture uniformity of materials and the level of product averaging. Background technique [0003] The loosening and regaining moisture process is the first moisture control process in the cigarette shred making process. The purpose of the process is to adjust the moisture of the material and increase the processing resistance of the material. The stability of the outlet moisture is directly related to the stability of the subsequent processing, and also affects the finished tobacco. fill value. The main reason affecting the...

AI Technical Summary

Problems solved by technology

[0004] According to the investigation of the current production situation, there are the following problems: (1) External factors: only part of the company’s raw material storage is a constant temperature and humidity warehouse, and most of the raw materials are stored in natural environment warehouses. The moisture content of raw materials fluctuates greatly. The moisture is between 8%-14%, and the difference between the lowest moisture and the highest moisture in the batch is about 6%

(2) Internal factors: There is no moisture detection point in the front-end process of the workshop from the elevated warehouse to the discharge, vacuum re-moisture, and loose re-moisture. As a result, the moisture information of the tobacco leaves cannot be obtained during the path of more than 300 meters and the three production positions. , the control signal to the next process cannot be given in advance, resulting in some difficulties in the control of the loose moisture regain process

(3) Other factors: due to factors such as tobacco leaf grade and origin, the moisture fluctuation of the material is relatively large, and when unpacking the basket, it will not be optimized according to the grade, origin and other factors. There are many factors and the randomness is large, and there is no rule to follow, which leads to the control of the process as empirical control, and the moisture of the material at the process outlet fluctuates greatly.

[0006] (1) Affecting product quality: resulting in large fluctuations in the moisture content of incoming materials in loose and moisture-recovery positions, causing chain transmission that is difficult to control the quality of the entire line, and causing a series of problems such as large moisture deviations in finished tobacco shreds

[0007] (2) Affecting the process control: The operating principle of the automatic control of loose moisture regain is to feed forward data from the moisture meter at the inlet of loose moisture regain, and calculate the instantaneous water addition amount through PID calculation. The amount of water added also changes accordingly, but the change rate of the amount of water added is slower than that of the water, which makes the water control unsatisfactory

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