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Monitoring method of online measurement data

A data and data value technology, applied in the field of data monitoring, can solve problems such as overall process suspension, online measurement equipment does not have real-time monitoring and alarm, defect diffusion, etc., to achieve the effect of avoiding problem escalation

Active Publication Date: 2018-06-15
SAIC VOLKSWAGEN AUTOMOTIVE CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1) The body-in-white or floor that has been manufactured must be suspended for subsequent steps to be corrected, resulting in the suspension of the overall process
[0005] 2) During the period when the problem was discovered, the subsequent body-in-white or floor was still manufactured according to the original parameter settings, so the subsequent body-in-white or floor still had defects, which caused the defects to spread
[0006] Therefore, the online measurement equipment does not have the functions of real-time monitoring and alarming, which will have a great impact on the overall process

Method used

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  • Monitoring method of online measurement data
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  • Monitoring method of online measurement data

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Embodiment Construction

[0029] The classic statistical process control theory (SPC-Statistical Process Control) was proposed by Shewhart, Juran, Deming and others in the United States in the 1920s and 1930s, according to the "6σ" (μ±3σ) of mathematical statistics Judgment principles form a whole set of methods, including control chart design and defect prevention, etc., and its representative work is "Economic Control of Industrial Product Quality" written by Shewhart in 1931.

[0030] The core part of SPC theory is the production of control charts. According to different purposes, control charts can be divided into two types: control charts for analysis and control charts for control. There are currently many kinds of statistical charts. GB / T4091-2001 "Conventional Control Charts" are divided into eight categories, and the four categories of measurement type are: mean-range control chart (X-R chart), mean-standard deviation control chart (X-s chart), median-range control chart (Me-R chart), individu...

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Abstract

The invention discloses an online data monitoring method comprises a step of determining monitoring points; executing the flowing steps on each monitoring point: a control threshold value setting step of setting a control threshold value by selecting a SPC control threshold value or a user-defined alarm line; a sample acquiring step of setting the number of data samples required to be acquired and acquiring the samples; an abrupt change point removing steps of determining whether an abrupt change point exists in the acquired online data samples and removing the abrupt change point; a sample processing step of computing the mean value and / or the range of the samples according to different selected control threshold values; and a real-time monitoring step of performing real-time monitoring according to the control threshold value and giving an alarm if an output result exceeds the range of the control threshold value; and determining whether all the monitoring points are traversed, if not, executing the above steps on the untraversed monitoring points and ending the process after all the monitoring points are traversed.

Description

technical field [0001] The invention relates to data monitoring technology, more specifically, to the monitoring and alarming technology of online measurement data. Background technique [0002] In the field of automobile manufacturing, online measurement equipment, such as online laser measurement equipment, will be introduced into the production line to inspect parts or complete vehicles. For example, in a modern automobile manufacturing line, online laser measuring equipment is used to perform 100% inspection of each body-in-white or chassis. [0003] However, the existing online measurement equipment does not have real-time monitoring and alarm functions, and the allowable range is set for the trend and fluctuation of the data at the monitoring point, and the monitoring is not very strict. The alarm is often triggered when there is a serious data deviation, and the alarm will not be reported in real time for a small data deviation. The defects caused by these deviation...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24024
Inventor 宋筠毅张正林孟磊王政
Owner SAIC VOLKSWAGEN AUTOMOTIVE CO LTD
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