T/IFA 0003-2021 Group Standard for Knowledge Mapping of Defects in Metal Materials

Scope

Scope: This standard specifies the concept of a knowledge graph of metal material defects in the industrial field, as well as the technical requirements and norms for quantifying knowledge across the entire production process of metal materials. This standard is applicable to standardizing and guiding industrial enterprises in metallurgy, steel, petroleum, chemical, aerospace, and other industries in organizing, managing, and applying big data knowledge of metal material manufacturing. The main technical content includes quantifying big data and production experience in the production process, organizing knowledge of materials, quantifying knowledge of material defects, mining and analyzing mixed data of process big data and knowledge, and dynamically predicting and evaluating the organization and performance of materials. Main technical content: Based on information and data security infrastructure, and focusing on each link of the information life cycle of metal material information collection, organization, classification, storage, sharing, and opening, this standard studies and customizes a standard system for quantifying knowledge of metal material defects based on the responsibilities of information resource providers, managers, and users. It provides quantification assessment standards for product defects of existing and future metal materials in industrial Internet and smart manufacturing, and effectively promotes intelligent industrial production. Infrastructure layer: Coordinated deployment of ubiquitous sensing facilities to build a broadband, ubiquitous, integrated, and secure information network, providing an infrastructure environment for the metal material defect graph. Data source layer: The graph data resources include business databases for storing business data and various existing third-party industry databases. Data collection layer: Realize the collection of graph business data, basic database data, log data, and sensor data. Big data plat

Development Information

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