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An Operational Risk Modeling Method for Polymorphic Manufacturing System Based on Operational 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: 2021-04-13
BEIHANG UNIV
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  • Description
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AI Technical Summary

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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  • An Operational Risk Modeling Method for Polymorphic Manufacturing System Based on Operational Data Fusion
  • An Operational Risk Modeling Method for Polymorphic Manufacturing System Based on Operational Data Fusion
  • An Operational Risk Modeling Method for Polymorphic Manufacturing System Based on Operational Data Fusion

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Embodiment Construction

[0058] The present invention will be described in further detail below in conjunction with accompanying drawings and examples.

[0059] 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:

[0060] 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.

[0061] 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 s32 . Input parameters The sum o...

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Abstract

The invention provides a multi-state manufacturing system operation risk modeling method based on operation data fusion. The specific steps are: 1. Considering the influence of production tasks, work in progress and production equipment on the process, determine the quantitative factors and framework of operational risk; 2. Construct the input and output state parameters of equipment and their performance state distribution; 3. Quantify the basic Risk value; 4. Decompose the task to obtain the explicit risk value of the production task; 5. Describe the transmission of the key quality characteristics of the work in progress at each station; 6. Determine the hidden risk value of the work in progress; 7. Use fuzzy mapping to determine Basic probability distribution; 8. Integrate the operational risk indicators of three different sources to output the system operational status; 9. Conduct the effectiveness analysis of operational risk modeling to overcome the ambiguity of direct fusion of data from different sources, so that the model can provide more accurate The intuitive operation risk status has good practical value in 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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Patent Type & Authority Patents(China)
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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