T/ZJEI 007-2023 Active Group standards

T/ZJEI 007-2023 General Requirements for Data Dictionaries of Automobile Manufacturing Equipment

T/ZJEI 007-2023

Publish Date: 2023-03-24 Implement Date: 2023-03-27 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/ZJEI 007-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Computer applications
ICS Name: The application of information technology in industry
Publish Date: 2023-03-24
Implement Date: 2023-03-27

Scope

Main technical content: This standard specifies the general expression rules, structure, classification, description methods, and coding rules for automotive manufacturing equipment data dictionaries. This standard is applicable to the construction, maintenance, and management of automotive manufacturing equipment data dictionaries. The main research objects of this standard are the actual data and metadata of automotive manufacturing equipment. The main content of the standard is arranged as follows: Chapter 1 gives the scope of application of the standard; Chapter 2 lists the normative reference documents; Chapter 3 gives the terms and definitions of this standard; Chapter 4 gives the general principles of the standard; Chapter 5 gives the metadata structure of automotive manufacturing equipment; Chapter 6 gives the classification of automotive manufacturing equipment metadata; Chapter 7 lists the description methods of metadata in automotive manufacturing equipment data dictionaries; Chapter 8 gives the identification rules of automotive manufacturing equipment data dictionaries; and the appendix provides JSON and XML expression templates. The determination of the main content of the standard mainly considers that the data of automotive manufacturing equipment accessing the industrial Internet platform needs to have clear and consistent semantics and standardized data formats, so as to support the exchange and application of big data on the platform and stimulate the potential value of the data.

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