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Steady state detecting method for use in tobacco processing course

A technology of processing process and detection method, applied in the directions of tobacco, tobacco preparation, and comprehensive factory control, etc., can solve the problems of inability to effectively identify factors of tobacco quality, inability to quantitatively and qualitatively analyze tobacco processing, and achieve high accuracy and simple method. , to ensure the effect of stability

Active Publication Date: 2009-04-22
CHINA TOBACCO SHANDONG IND
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that factors affecting tobacco quality cannot be effectively identified in the current tobacco processing process, resulting in the inability to carry out reasonable quantitative and qualitative analysis on the process capability of tobacco processing, and to provide a simple and easy-to-use, It can effectively eliminate various abnormal states in the tobacco processing process, facilitate reasonable quantitative and qualitative analysis of the process capability of tobacco processing, and thus ensure the tobacco processing process steady-state detection method with advantages such as tobacco quality

Method used

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  • Steady state detecting method for use in tobacco processing course
  • Steady state detecting method for use in tobacco processing course
  • Steady state detecting method for use in tobacco processing course

Examples

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] For example, the design value of the outlet moisture content index in the feeding process of brand A tobacco leaves is (22.0±1.0)%. The outlet moisture content of a certain test batch of this brand is collected, and the collection frequency is 20 times / min, and the centralized sampling (50kg) from the feeder inlet is once during the processing. The time-series broken line of the outlet moisture content is shown in figure 1 .

[0033] figure 1 It shows that ① points A and D and their corresponding timing points 23 and 1632 are the start and end time points of the processing process, and the moisture content data in the processing process: 1632-23 = 1609 pieces, and the total time is 80.45 minutes; ② The moisture content between points A and B The curve is the initial stage of the process, and the moisture content curve between points C and D is...

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Abstract

The invention relates to a tobacco manufacturing stability inspection. It solves the issue of failure to effectively identify the factors affecting the tobacco quality, resulting in the inability of reasonable quantitative and qualitative analysis with simple application, effectively getting rid of all kinds of abnormal status, ensuring the quality of tobacco. Using time sequence scuff, distributional statistical chart and accumulated probability curve, separating the process stability from the overall process, judging the conformity of its distribution and that of the normal distribution, effectively identifying the process variation factors, tracking the time sequence zone, analyzing the variation source, type and the affecting degree to the quality index.

Description

technical field [0001] The invention relates to a steady-state detection method in tobacco processing. Background technique [0002] Steady state is the abbreviation of statistical control state, which refers to the state of variation in which there are only occasional causes but no different causes in the process. Under ideal steady-state conditions, the product quality of the process conforms to the normal distribution X~N(μ, σ 2 ). The actual production center of the product often deviates from the product design center (M), and the actual deviation is generally below 1.5σ. Therefore, within the tolerance (T / 2) range, the pass rate of the product is closely related to the mean deviation of the product. For example, when the tolerance is: ① 3σ, the non-conforming product rate without mean deviation is 0.27%; the non-conforming product rate with 1.5 σ mean value deviation is 6.68%; , the rate of defective products with a mean deviation of 1.5σ is 3.4ppm. Therefore, ste...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418A24B3/00
Inventor 孙东亮
Owner CHINA TOBACCO SHANDONG IND
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