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static description layer data source identification + data composition id naming rules industrial iot data collection data foundation data dictionary data type definition urban rail transportation diameter conductor non-fire-retardant double-wall polyolefin heat
GB/T 38619-2020 in English

GB/T 38619-2020 in English

VALID

Industrial internet of things—Specification of structured description for data acquisition

  • Issued on:2020-04-28
  • Implemented on:2020-11-01
  • File Format:PDF
  • Delivery:Via email within 5 business days
Price(USD): $370.00
$359.00

《GB/T 38619-2020工业物联网 数据采集结构化描述规范》由TC28(全国信息技术标准化技术委员会)归口,TC28SC41(全国信息技术标准化技术委员会物联网分会)执行,主管部门为国家标准化管理委员会。


Introduction

Analysis of the core architecture of the standard

GB/T38619-2020 has established a three-layer description system for industrial IoT data collection:

Level Core content Technical points
Static description layer Data source identification + data composition ID naming rules, data type definition, measurement unit specification
Dynamic interaction layer Data association relationship + operation Join/condition/calculation relationship, read-write control protocol
Visualization layer Data display (optional) Interface/table/chart display specifications

Detailed explanation of key technical elements

1. Data source identification specifications

Adopt a four-level coding system: industry type_industry field_company name_data source (such as: produce_electronic_XX_MES), among which:

  • Industry type refers to GB/T4754-2017 classification
  • Data sources include PLC, DCS, MES and other 20+ equipment types

2. Data composition model

Typical case: The industrial fan monitoring data group includes:

{ "Data_Group": { "Name": "Draught_fan", "Accessflag": "R", "Data": { "Type": "float", "Unit": "%rh", "Upperlimit": "60%" } } }

Implementation suggestions

  1. Data acquisition system transformation: Reconstruct the data dictionary according to the standard and establish a unified ID system
  2. Protocol adaptation: Support standard protocol conversion such as OPC UA/MQTT
  3. Quality control: Implement data verification mechanisms such as Requisite/Nocompliantmark

Evolution trend analysis

This standard lays the data foundation for the evolution of the Industrial Internet of Things to the digital twin. Subsequent attention should be paid to:

  • Special processing of time series data (TSDB)
  • Lightweight description in edge computing scenarios
  • Cooperation with standards such as GB/T34095-2017

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