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Quality analysis and optimization method and system for multi-time scale data fusion

A multi-time scale, data fusion technology, applied in database indexing, data processing applications, structured data retrieval, etc., can solve problems such as quality loss, localized quality analysis control, etc., to reduce product quality loss, ensure accuracy, The effect of saving production cost

Pending Publication Date: 2022-07-29
中国兵器装备集团自动化研究所有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of quality loss caused by local control and post-event control in the existing quality analysis, the present invention provides a quality analysis and optimization method and system for multi-time scale data fusion to solve the above problems

Method used

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  • Quality analysis and optimization method and system for multi-time scale data fusion
  • Quality analysis and optimization method and system for multi-time scale data fusion
  • Quality analysis and optimization method and system for multi-time scale data fusion

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Embodiment 1

[0041] like figure 1 As shown, this embodiment provides a quality analysis and optimization method for multi-time scale data fusion, as follows:

[0042] S1. To associate product production process data and build a quality database

[0043] The product data is associated with the part number, and the part number includes the material part number and the material batch number; based on the part number, the process parameters and detection parameters are collected and associated with the part number to build a quality database;

[0044] S2. Build a quality assessment model

[0045] Build a quality evaluation model based on human experience and quality database; according to the current processing situation, issue control process parameters to the parameter control strategy for a single piece or batch;

[0046] S3. Online Control

[0047] For the processing equipment, the online control of the processing process is carried out through the parameter control strategy to ensure t...

Embodiment 2

[0051] This embodiment provides a quality analysis and optimization method for multi-time-scale data fusion, which is specifically as follows:

[0052] S1. To associate product production process data and build a quality database

[0053] The product data is associated with the part number, and the part number includes the material part number and the material batch number; based on the part number, process parameters and inspection parameters are collected and associated with the part number to construct a quality database. The process parameters include the processing procedure number, processing equipment number and process data, and the process data is bound to the processing procedure number and processing equipment number; the detection parameters include the detection procedure number, detection equipment and detection data, and the detection data and the detection procedure number , Detect device binding.

[0054] The whole process data association framework is as fol...

Embodiment 3

[0065] This embodiment provides a quality analysis and optimization system for multi-time scale data fusion, including one or more modules for storing in a memory and configured to be executed by one or more processors; one or more modules include:

[0066] A module that associates product production process data and builds a quality database. In the module, product data is associated through part numbers, and the part numbers include material part numbers and material batch numbers; based on the part numbers, process parameters and inspection parameters are collected, and Associated with part numbers, build quality database.

[0067] A module for building a quality assessment model. In the module, a quality assessment model is constructed based on human experience and quality database; according to the current processing conditions, single-piece or batch control process parameters are issued to the parameter control strategy.

[0068] The online control module, for the proce...

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Abstract

The invention discloses a multi-time scale data fusion quality analysis and optimization method and system, and the method comprises the following steps: carrying out the data association of a product production process, and constructing a quality database; the product data are associated through part numbers, and the part numbers comprise material part numbers and material batch numbers; process parameters and detection parameters are collected based on the part numbers and are associated with the part numbers, and a quality database is constructed. Constructing a quality evaluation model; constructing a quality evaluation model based on artificial experience and a quality database; and according to the current machining condition, the control process parameters are issued to the parameter control strategy in a single-piece or batch mode. Performing online control; and for the processing equipment, performing online control on the processing process through the parameter control strategy so as to ensure that the processing equipment performs processing according to the control process parameters issued by the quality evaluation model. According to the method, the problem of quality loss caused by local management and control and post management and control in the existing quality analysis is solved.

Description

technical field [0001] The invention relates to the technical field of production quality control, in particular to a quality analysis and optimization method and system for multi-time scale data fusion. Background technique [0002] Quality analysis and optimization is the key to improving the quality of the production process and reducing product waste. In the existing production process, the quality inspection data, processing data and product part identification data are not related, resulting in the inability of accurate feedback of quality data to single or batch. The production of sub-products resulted in timely collection of quality data, but it was not used effectively. It was only used for post-event quality analysis, and could not give full play to the requirements of online data collection and control, and quality control during the event. In recent years, with the continuous strengthening of digital construction such as enterprise Internet of Things construction...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04G06F16/22G06F16/2458
CPCG06Q10/06395G06Q50/04G06F16/2291G06F16/2462
Inventor 邱枫徐曼菲黄利红范波赵智聪赖俊孙科星
Owner 中国兵器装备集团自动化研究所有限公司
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