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Intelligent workshop multi-source heterogeneous manufacturing big data integration model and semantic calculation method

An integrated model, multi-source heterogeneous technology, applied in manufacturing computing systems, computing, data processing applications, etc., can solve problems such as inability to reflect detailed status information, low data quality and data value, single data dimension and data granularity, etc.

Inactive Publication Date: 2018-10-12
CHANGAN UNIV
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Problems solved by technology

However, in this method, the associated manufacturing data is incomplete and cannot reflect the detailed status information in the manufacturing process, that is, the data dimension and data granularity are relatively single, resulting in low data quality and data value

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  • Intelligent workshop multi-source heterogeneous manufacturing big data integration model and semantic calculation method
  • Intelligent workshop multi-source heterogeneous manufacturing big data integration model and semantic calculation method

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. The accompanying drawings described here are a part of the present application, and are used to further explain the present invention, but do not constitute a limitation to the present invention.

[0037] 1. The multi-source heterogeneous manufacturing big data integration model of intelligent workshop described in the present invention is as follows: figure 1 As shown, the specific modeling method of the model is:

[0038] Such as figure 2 As shown, (1) Establish the backbone and branches of the manufacturing big data integration model: take the first processing procedure of the WIP parts in the intelligent workshop as the root node, and take the time sequence flow of the processing procedure as the evolution direction of the model to construct the manufacturing The backbone of the big data integration model. Taking each processing procedure as a b...

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Abstract

The invention discloses an intelligent workshop multi-source heterogeneous manufacturing big data integration model and a semantic calculation method. According to the method, a first procedure servesas a root node, and a processing time sequence flow serves as a model stem of the model in an evolution direction; all processing procedures serve as branch nodes, resources relevant to the procedures are associated, branches are formed through derivation, and real-time data obtained in the manufacturing process serves as leaf nodes of the intelligent workshop multi-source heterogeneous manufacturing big data integration model to establish the model; and comprehensive processing progress information, equipment load information and product circulation and logistics trolley transportation trackinformation of products in a workshop are obtained through a calculation formula, and description, association, fusion, mining, semantic calculation and knowledge evolution of multi-source heterogeneous manufacturing big data are realized through the dimensions, granularity, mass and other aspects of the associated manufacturing data.

Description

technical field [0001] The invention belongs to the field of intelligent manufacturing and manufacturing system engineering, and in particular relates to an intelligent workshop multi-source heterogeneous manufacturing big data integration model and semantic calculation method. Background technique [0002] Intelligent manufacturing provides ideas for the transformation and upgrading of the world's manufacturing industry. Under the intelligent manufacturing mode, relying on the application of emerging information technologies such as sensor networks, Internet of Things, and cyber-physical systems, the manufacturing process of intelligent workshops becomes transparent, real-time, flexible, and intelligent. The acquisition, modeling, calculation, storage, and service of real-time manufacturing data generated in the manufacturing process is the main line to achieve the above goals. Since real-time manufacturing data has the characteristics of heterogeneity, multi-source, large...

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Application Information

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IPC IPC(8): G06F17/30G06Q10/06G06Q50/04
CPCG06Q10/06316G06Q50/04Y02P90/30
Inventor 丁凯张富强史合惠记庄曹学鹏
Owner CHANGAN UNIV
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