Bottled liquid detection system and method

Abstract

The invention provides a bottled liquid detection system and method so as to replace manual bottle shaking operation and provide a hardware operation basis for on-line automatic impurity detection of a bottle body. The system structurally comprises a bottle body visual recognition device, a bottle body online shaking device, a bottle body white precipitate detection device, a bottle body black precipitate detection device and a bottle body removing device which are sequentially arranged in the one-way logistics conveying direction of a conveying belt and electrically connected with a controller. The method comprises the steps that the shapes of bottle bodies are recognized, and the numbers of grippers are visually displayed; the corresponding grippers are installed; the bottle bodies placed on a production line are shaken in sequence; a bottle body white precipitate detection device is used for detecting white precipitates; a bottle body black precipitate detection device is used for detecting black precipitates; a controller sends an action triggering signal to a bottle body removing device; and the bottle body removing device acts to remove the bottle bodies which are detected to have the white precipitates and / or the black precipitates. According to the invention, the technical problem of automatic bottle impurity detection is solved.

Description

technical field [0001] The invention relates to the technical field of automatic production of alcoholic beverages, in particular to a bottled liquid detection system and method. Background technique [0002] Liquor, beverages and other bottled liquids will inevitably encounter the situation that foreign matter settles to the bottom of the bottle during the light inspection process of foreign matter detection. Since the light inspection can only detect the liquid inside the bottle body, this makes it impossible to detect foreign matter at the bottom. It makes the inspection fail and the outflow of unqualified products. Furthermore, the automatic production line of alcoholic beverages in the prior art usually relies on visual inspection to detect whether the bottle contains impurities. Shake the wine bottle by hand and then rely on the naked eye to identify whether there are suspended foreign objects in the bottle. The manual light inspection method cannot guarantee product...

AI Technical Summary

Problems solved by technology

[0004] 1. The speed is slow and the detection efficiency is low. One light inspector can only detect 200-400 bottles per hour. In order to match the production speed of the production line, multiple people are required to perform detection at the same time; and the detected bottles are placed on the production line again When the position is difficult to grasp accurately, it will affect the quality of the subsequent operation of the bottle

[0005] 2. Low precision, strong subjectivity, and poor repeatability. Generally, the minimum detection accuracy of the human eye is 50-60 microns, and the detection results of the same product are inconsistent when repeated manual inspections, resulting in quality risks

[0006] 3. The rate of missed detection and false detection is high, and products containing impurities are often regarded as genuine products or genuine products are misjudged as defective products

[0007] 4. The use of manual inspection also requires higher requirements for the visual recognition proficiency of inspection operators. When workers frequently repeat the same inspection actions, it is easy to generate operational fatigue, and the resulting inspection error rate is usually high; in addition, The labor intensity is high and the working environment is poor, which has a great impact on the vision of the light inspection machine personnel, and the manual non-stop handling and turning of products has caused great damage to the workers' hand joints and arms, seriously affecting the occupational health of personnel

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