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A polymorphic manufacturing system operation risk modeling method based on operation data fusion

A manufacturing system and operation risk technology, applied in the field of multi-state manufacturing system operation risk modeling, can solve the problem that intermediate indicators are not fully utilized

Active Publication Date: 2019-06-18
BEIHANG UNIV
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Problems solved by technology

When representing the entire manufacturing system, reliability puts more emphasis on whether the final quantitative results meet the expected goals, ignoring the nature of different types of specific data that cannot be directly integrated, and intermediate indicators are not fully utilized

Method used

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  • A polymorphic manufacturing system operation risk modeling method based on operation data fusion
  • A polymorphic manufacturing system operation risk modeling method based on operation data fusion
  • A polymorphic manufacturing system operation risk modeling method based on operation data fusion

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Embodiment Construction

[0057]The present invention will be described in further detail below in conjunction with accompanying drawings and examples.

[0058] The present invention is a multi-state manufacturing system operation risk modeling method based on operation data fusion, see figure 1 As shown, the steps are as follows:

[0059] Step 1 Collect key information on the cylinder head plate manufacturing process of a certain type of eight-cylinder engine, and determine five main processing processes. For the modeling process based on operational risks, see figure 1 , carry out relevant data screening, classification and storage, and analyze its operational risk level, see figure 2 , used in subsequent modeling steps.

[0060] The simplified manufacturing system model in step 2 consists of two types of equipment, see image 3 (1) and image 3 As shown in (2), the device 3 has a rework process, and compared with other devices, there is one more parameter M s33 . Input parameters The sum of...

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Abstract

The invention provides a polymorphic manufacturing system operation risk modeling method based on operation data fusion. The method comprises the following specific steps: 1, considering a productiontask and the influence of an in-process product and production equipment on a process, and determining a quantification factor and a framework of an operation risk; 2, constructing equipment input andoutput state parameters and performance state distribution thereof; 3, quantifying the basic risk value of the equipment; 4, decomposing the task to obtain a dominant risk value of the production task; 5, describing transmission of the key quality characteristics of the product at each station; 6, determining a hidden risk value of the product in process; 7, determining basic probability distribution by using fuzzy mapping; 8, fusing the operation risk indexes of the three different sources, and outputting a system operation state; 9, carrying out effectiveness analysis of operation risk modeling, so as to overcome fuzziness caused by direct fusion of different source data. The model provides a more accurate and visual operation risk state, and the method has a very good practical value in the aspect of system health prediction.

Description

technical field [0001] The invention provides a multi-state manufacturing system operation risk modeling method based on operation data fusion, and belongs to the technical field of manufacturing system predictive analysis and health diagnosis. Background technique [0002] The development of a new generation of information technology and artificial intelligence has injected vitality into the development of the manufacturing industry, resulting in new manufacturing models, such as cloud manufacturing and service-oriented manufacturing. Predictive health analysis and diagnosis are the basic functional elements of smart manufacturing. Compared with traditional manufacturing, the core goal of smart manufacturing is to obtain rich information through accurate process status tracking and complete real-time data extraction, so as to provide management control for the manufacturing process. Provide additional scientific decision support. The value of data is hidden in the interact...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04
CPCY02P90/30
Inventor 何益海赵依潇刘枫棣周迪张安琪
Owner BEIHANG UNIV
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