GB/T 39400-2020 in English

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Standard No:	GB/T 39400-2020
Document status:	VALID
Title in English:	Industrial data quality-General technical specification
Title in Chinese:	工业数据质量通用技术规范
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2020-11-19
Implemented on:	2021-06-01
ICS Classification:	25.040.40-Industrial process measurement and control
Professional Classification:	GB-National Standard
Related Keywords:	industrial data data quality model generate data quality kpi dashboards industrial big data applications enterprise-level data
Related Topics:	data quality Quantitative data data quality industrial data Measurement technology industry Industrial measurement data Flux technology Data Quality Report Test data quality Data Quality Report Qualcomm data volume GBT39400 GB/T 39400-2020 industrial data Technical Specifications for Chemical Metrology Data quality standards

《GB/T 39400-2020工业数据质量通用技术规范》由TC159（全国自动化系统与集成标准化技术委员会）归口，TC159SC4（全国自动化系统与集成标准化技术委员会工业数据分会）执行，主管部门为中国机械工业联合会。

Introduction

Analysis of the standard core framework

Core modules	Technical points	Implementation requirements
Continuous quality improvement	PDCA cycle model (Plan-Do-Check-Action)	Need to establish a closed-loop management process
Quality description system	Quantitative elements (completeness/consistency/accuracy) + non-quantitative elements (purpose/usage/data log)	Need to develop an enterprise-level data dictionary
Quality control methods	Test suite (description test/content test) + three-level review mechanism	A full-time quality engineer is required

When a certain automotive parts company implemented the MES system, it adopted the following methods for production transaction data:

Direct evaluation method: Sampling check of process parameter record integrity (sampling rate ≥5%)
Indirect evaluation method: Reverse inference of data accuracy through equipment OEE

Master data governance: Establish ERP material master data integrity check rules
Process quality control: Embed real-time consistency checking in the SCADA system
Quality reporting: Generate data quality KPI dashboards on a monthly basis

This standard has a technical response to the ISO 8000 series. In the context of industrial big data applications:

Innovation: For the first time, a dedicated data quality model for the industrial field has been established
Development trend: Integration with new technologies such as digital twins and industrial Internet platforms

More samples: JJG 21-2008 GB 18306-2015 DL/T 368-2010

Sample only — not a preview of GB/T 39400-2020