Novel household paper grain detection device and detection method thereof

Abstract

The invention discloses a novel household paper grain detection device which is at least composed of a detection device, a positioning device, an integrated protection device and a transmission analysis device, the detection device and the positioning device are arranged in the integrated protection device, the positioning device can be freely put in or taken out, after a sample is placed on the positioning device, the detection device can detect the sample, and the detection device inputs the detection data into the transmission analysis device to count and calculate the thickness and the number of the grains of the biological paper. The detection device in the invention is high in detection precision, good in stability, easy to operate and high in detection efficiency, the target of accurately judging the quality of the grains of the paper surface can be realized in a digitalized and quantitative judgment mode, and the production can be guided more accurately and efficiently.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a novel household paper texture detection device and a detection method thereof. Background technique [0002] The distribution of grain thickness on the paper surface is an important index used by the pulp and paper industry to measure paper quality and guide production. Different products have different requirements for grain thickness. [0003] At present, the industry judges the quality of the paper surface texture by visually observing the difference between it and the standard sample to qualitatively estimate whether the texture is qualified. This method has a lot of human error and chance, and the detection process takes a long time. Low, low efficiency, unable to quantify indicators. Therefore, the current paper surface texture detection instruments are basically blank in the market, and cannot effectively detect the paper surface texture, and the quality of paper lack...

AI Technical Summary

Problems solved by technology

[0003] At present, the industry judges the quality of the paper surface texture by visually observing the difference between it and the standard sample to qualitatively estimate whether the texture is qualified. This method has a lot of human error and chance, and the detection process takes a long time. Low, low efficiency, unable to quantify indicators

Therefore, the current paper surface texture detection instrument is basically blank in the market, and cannot effectively detect the paper surface texture, and the quality of paper lacks quantitative detection instruments.

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