Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

Glossary · IIoT, data and AI

Data transfer

Also known as: Data transmission

German: Datenübertragung

In automation and IT, data transfer is the movement of data from one device, system or location to another over a communication channel, such as a fieldbus, Ethernet network, wireless link or storage medium, according to a defined protocol.

  • IIoT

In one sentence

Data transfer is the movement of data between devices or systems over a communication channel according to a defined protocol.

Example

Recipe parameters are transferred from the MES to the PLC over OPC UA before each batch, and the PLC confirms receipt with a checksum.

How it applies

  • Engineering: Specify for each transfer the protocol, direction, data format, rate, latency requirements, and how completeness and integrity are checked.
  • Security: Transfers crossing zone boundaries should pass through defined conduits and be protected against manipulation and eavesdropping where the risk requires it (see Conduit).
  • Documentation: Interface descriptions list transferred data items with units, ranges and update rates, and describe behavior on transfer errors. Keep them versioned together with the software.

Protocol vs. data model

A protocol defines how data is transferred: message structure, sequence and error handling. A Data model defines what the data means. A successful transfer over a correct protocol can still deliver values that the receiver interprets wrongly if the data model is not agreed.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on common industrial communication practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

Seen a mistake? Send us a note!