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This publication TIC4.0 2021.1 contains the semantic, dataset roadmap, data model and 25 definitions on the topic of Power Source and Activity. It is a very extensive publication with the aim to give the reader a clear overview (from managers to developers) of the TIC4.0 standards for the cargo handling industry.

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To apply the words in several digital protocols, a Data Schema is needed. TIC 4.0 will propose one for each of the most common protocols, but any protocol could be used. For the examples, TIC 4.0 usually use uses JSON as it is very easy human readable.

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The semantic combines 6 basic elements: HEADERSUBJECTCONCEPTOBSERVED PROPERTY, POINT OF MEASUREMENT and VALUE to represent a unique reality.

HEADER identifies the message in origin, (destination), time of reference for the message and unique reference.

SUBJECT (who) is the entity that is doing or being the CONCEPT.

CONCEPT (what is-does) refers always to a particular subject (or subject-subsystem) specifying what the subject is (status) or does (action-event)

OBSERVED PROPERTY (how much) is the magnitude of the concept (status, pieces, length, volume, weight, energy, time, speed, power, duration, acceleration…) represented in the value.

POINT OF MEASUREMENT (where) defines where in place and time (past, present, future) the value representing the concept observed property of the subject is measured and represented.

VALUE is the actual measured result for a specific combination of time of measurement + subject + concept + observed property + point of measurement. The same value can be represented in several units.

The combination of a SUBJECT with multiple combinations of CONCEPTsOBSERVED PROPERTies and POINT OF MEASUREMENTs give us a unique meaning of a VALUE.

TIC 4.0 aims to define each of these elements.

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The Data Set is just the database that contains the well-defined by TIC 4.0 list of data (a piece of reality). We represent this data as a combination of subject+concept+observed property, indicating what possible point of measurements and units are valid.

  1. Data: represented in a flat format

  2. Subject: including subject and sub-subjects

  3. Concept: represented by the concept id

  4. Observed Property (Obs Property)

  5. Point of Measurement (PoM)

  6. Value: possible units to be used for the data representation

  7. Link to the definition: hyperlink to the definition template for each component of the data.

  8. Workflow status (status): what is the status within the TIC 4.0 workflow

  9. Version: expressed in “year.version”

  10. Release: date of realising in “yyymmdd” “yyyymmdd” format

  11. Short Description: for a fast understanding of the data. This short definition is not enough to fully understand the data.

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This data set is in growing very fast as the reality is complex. The data set contains not only the published data definition (status = published) but also the ones in draft status to allow the developers to have a brought broad visibility and to program and prepare in advance the systems.

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For the digital formating of the semantic and data set we need a data model to structure the data and a data schema to define the details of the content like the validity of the format or the type of data (boolean, entire, real etc.), what data is mandatory or could be omitted etc.

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Following the semantic web standard (subject: object) the model has 3 main components: header, asset description and measurement.

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SUBJECT creates the hierarchy tree structure (we have sub-subjects) that helps to identify the boundary of the value. The hierarchy is fixed by TIC 4.0 for each kind of subject (CHE, TOS, Terminal) and can mix any type of subjects (e.g. machine.process = che.move). The subjects conform to an array defined by the (concept) metadata so many subjects identical but with different metadata (id or name or location or…) can be sent in the same message. (1 message with several CHEs or one CHE with several spreaders).

The CONCEPT'smetadata defines “what is” and the CONCEPT“what does”. Both are flat (no hierarchy, no arrays) and we can use as many as necessary. Also, two concepts can be combined with “and” or “or” creating a new concept that in fact is the condition that makes both true. E.g. “hoisting_and_trolleying” that represents the action of hoisting and trolleying at the same time (both statuses must be true).

OBSERVED PROPERTies define the magnitudes of the CONCEPT, are flat (no hierarchy) and can be used as many times as necessary per CONCEPT.

For each OBSERVED PROPERTies an array created by the combination of the different POINT OF MEASUREMENTs in time (actual, estimated, etc), place (input, iinput, ioutput, output), timestamps and the differents Units will give an array (a list) of VALUEs. The array could be as long as necessary per each message. The length will depend on the relation between the data frequency and the message frequency and also the amount of different POINT OF MEASUREMENTs that need to be represented.

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The bricks that build the data set are made by individual elements that are defined by TIC 4.0 following a template. The below is an exmpale example of the TIC4.0 concepts.

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Subjects

The subject definitions are referring to the TIC4.0 semantic: SUBJECT (who) is the entity that is doing or being the CONCEPT.

In this 2021.1 we use a complete set of draft definitions subjects for CHE (physical devices) that are listed in the https://tic40.atlassian.net/l/c/FxmCAXxr but only 3 are completely ready for publication.

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