Automatic unloading and online detecting method for crude tobacco bales

Abstract

The invention discloses an automatic unloading and online detecting method for crude tobacco bales. The method comprises the following steps of: firstly, unloading tobacco bales through a telescopic unloading slideway; then, carrying out weight detection and moisture detection on the tobacco bales through an online belt weigher and a microwave moisture instrument, and sorting weight and moisture qualified tobacco bales through a tobacco bale sorting device; next, unpacking tobacco bales with qualified weight and moisture, repacking the tobacco bales after carrying out chemical component detection by using an online near infrared spectroscopy, and classifying the tobacco bales by using a tobacco bale resorting device according to the tobacco bale chemical components measured by the online near infrared spectroscopy; and finally, classifying and basketing tobacco bales with detected weight, moisture and chemical components. The functions such as automatic gunny bag unloading, one-by-one moisture measurement, one-by-one weighing, one-by-one chemical component detection and unqualified gunny bag sorting are achieved, and the automatic unloading and online detecting method is high in efficiency, overall in detection and high in automation degree.

Description

technical field [0001] The invention relates to a raw tobacco storage device for a tobacco leaf redrying enterprise, in particular to an automatic unloading and online detection method for raw tobacco bales. Background technique [0002] At present, the raw tobacco warehousing mode of tobacco leaf re-baking enterprises is relatively traditional and conservative. Most of them adopt manual unloading, manual sampling is used for moisture detection and chemical index detection, and the rough measurement method of weighing the whole vehicle is adopted for the weighing of cigarette packs. [0003] The schemes and shortcomings thereof adopted by each link in the prior art are respectively as follows: [0004] The way of manual unloading: it requires a lot of manpower (about 6-10 people are needed for each unloading of a car). Since it is laborious to carry a pack of about 50KG cigarette packs, unloading workers usually take the cigarette packs directly from a height of 4-5 meters. ...

AI Technical Summary

Problems solved by technology

The existing problems are: chemical data detection takes a long time, the detection process requires the use of toxic chemical reagents, the representativeness of sampling is not strong, the hardware equipment configuration is lacking, the management methods are relatively backward, and the level of informatization is not high

The existing problems are: the oven method takes a long time to detect moisture, the amount of sample processing is small, the representativeness of the measured moisture content is poor, and it is impossible to find the original tobacco sacks that are wet and easy to mildew

Disadvantages: poor sampling representativeness, 30% sampling rate cannot represent the real weight of the whole car of cigarette packs, large weight error introduced by weighing with a trolley, and slow weighing speed and low efficiency

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