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GB/T 41778-2022Information technology—Industrial big data—Terminology (English PDF)

信息技术 工业大数据 术语

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

October 14, 2022

Implementation date

May 1, 2023

Scope

GB/T 41778-2022 is the English-translated version of 信息技术 工业大数据 术语.

GB/T 41778-2022 is the Chinese national vocabulary for industrial big data. It defines the terms in common use in the field and is meant for research, teaching and practical work, and it has no normative references of its own.

Each entry either carries its own definition or is quoted from an earlier standard: batch processing from GB/T 37722-2019, the bill of materials from GB/T 32236-2015, cloud storage from GB/T 31916.1-2015, data from GB/T 5271.1-2000 and data quality from GB/T 36073-2018, while data downsampling, the reduction of the sampling rate of industrial time series data, is defined here.

The document closes with a bibliography and an index. Issued on 14 October 2022, it has applied since 1 May 2023.

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Document preview — GB/T 41778-2022

National Standard of the People's Republic of China

ICS
35.020; 01.040.35
Classification
L 70

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Contents

  • Preface
  • 1 Scope
  • 2 Normative references
  • 3 Terms and Definitions
  • Reference
  • Index

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1: Structure and Drafting Rules of Standardization Documents" drafted.

1 Scope

This document defines common terms and definitions in the field of big data in the information technology industry.

This document is suitable for scientific research, teaching and application in the field of industrial big data.

2 Normative references

There are no normative references in this document.

3 Terms and Definitions

3.1 Batch processing

Decompose a large job into multiple tasks to be processed separately by multiple nodes, and then summarize the results of multiple tasks after the decomposition It is a computing framework for obtaining the final analysis results, which has the capabilities of high availability, high expansion, and high concurrency. [Source: GB/T 37722-2019, 3.2]

3.2 Bill of Materials

A hierarchical schedule of all materials that make up a given product. [Source: GB/T 32236-2015, 2.16]

3.3 Cloud storage

According to the specified service level with scalability, virtual storage and data services can be used on-demand and billed through the network. means of service delivery. This delivery method requires no configuration or is configured in a self-service fashion. [Source: GB/T 31916.1-2015, 3.1.1]

3.4 Data

A formalized representation of information that can be reinterpreted, suitable for communication, interpretation or processing.

NOTE: Data can be processed by manual or automated means. [Source: GB/T 5271.1-2000, 01.01.02]

3.5 Data downsampling

The process of reducing the sampling frequency of industrial IoT time series data.

3.6 Data quality

The degree to which a characteristic of data meets explicit and implicit requirements when used under specified conditions. [Source: GB/T 36073-2018, 3.10]

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

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