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Product quality prediction technique for recombination assembly line

A technology of product quality and prediction method, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve the problems of many variables, large amount of data, difficult analysis and so on

Inactive Publication Date: 2009-04-08
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These complex and disorderly data can objectively reflect the state of the manufacturing process, but due to the large amount of data and many variables, it is very difficult to analyze

Method used

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  • Product quality prediction technique for recombination assembly line
  • Product quality prediction technique for recombination assembly line
  • Product quality prediction technique for recombination assembly line

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Embodiment Construction

[0026] The present invention is realized through the following technical solutions, the hardware system of the production line is as figure 1 As shown, it mainly includes production line control system and sensor data acquisition system.

[0027] (1) The production line control system adopts a distributed network control system. This system structure can be generally divided into three levels: on-site execution layer, analysis control layer and planning decision-making layer. It has the following characteristics:

[0028] Because the distribution of the physical location of the process is discrete, the distributed control network makes them organically form a whole in order to share data and exchange information.

[0029] In order to effectively organize a large amount of quality data and establish a standard data exchange interface, a database should be used for storage and management.

[0030] The collection of process quality data is real-time. Multiple process quality co...

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Abstract

A method for predicting the quality of products on a reconfigurable production line comprises the following steps: (1) selecting quality control points of key procedures, detecting on line, recording the quality information of parts, analyzing error factors in processing, and storing the related information in a quality information database of a master server; (2) setting initial parameters for predicting and controlling the quality, adopting the principle that the prevention is first to predict key quality characteristics, modeling the error sequences obtained by the detection in real time, and solving a predicted value of product production; and (3) according to the trend information of the errors and by integrating sensor information on production stations, when the predicted data is beyond an upper control line and below a lower control line, a quality problem is proved to exist in the production course of the product, the devices of each production station need to be inspected, adjusted or compensated, and corrective measures need to be established. The quality of the product on the reconfigurable production line can be predicted by the method.

Description

technical field [0001] The invention relates to a method for predicting process quality, in particular to a process quality predictive control method for engine cylinder block and cylinder head production lines. Background technique [0002] The automobile industry is a pillar industry of the national economy that plays a significant role in the overall scientific and technological progress of the equipment manufacturing industry. Auto parts manufacturing proposes high processing accuracy, efficiency, comprehensive automation and process integration for its equipment; the variety, specification and scope of processing objects are widely adaptable ; High system reliability and utilization requirements. Therefore, it is of great significance to master the advanced automatic production line technology for the complete processing of key auto parts to improve my country's auto parts manufacturing capacity and promote the development of the national economy. However, the quality ...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 李爱平谢楠徐立云刘雪梅代东升
Owner TONGJI UNIV
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