Introduction

This publication TIC4.0 2022.007 contains the following topics:

• Job Instruction: some missing statuses have been added like assigned, dispatched and not dispatched.

• “job-stepping” concepts: related to cargo move the most important process steps during the “collect” and “deliver” have been added.

• Spreader: this is the second set of definitions the release is focused on the different modes, movements and functions that the spreader can do.

This publication in addition to continuing to populate in detail what a CHE can do with its spreader-related definitions, adds the definitions of the job-steeping concept to the digital world of terminals. Job-stepping describes a status (what does or is the subject) related only to concepts (action) that “moves” cargo. The objective of this type of concept is to define what type of activity the CHE is doing to move the cargo. There are 6 basic sub-processes to perform a move:

• Moving to Collect

• Queuing to Collect

• Ready to Collect

• Moving to Deliver

• Queuing to Deliver

• Ready to Deliver

These definitions allow the user to compare easily what is doing the CHE versus what should be doing if following the job instruction. This is key information for the integration of reality and processes data with high value for the users that needs to improve their processes.

These definitions are part of TIC4.0’s ongoing work to develop a common vocabulary for the cargo handling industry and will be followed by future releases, as defined by the TIC4.0 Dataset Roadmap. The current list of definitions being worked on can be accessed on the digital platform of TIC4.0. This publication release provides the actual definitions and includes them in the TIC4.0 templates with the general approach on how to use these in Data Models, Data Schema's, JSON formats and provides high-level scenarios as examples.

1. TIC 4.0 scope

The purpose of TIC4.0 is to define a common language that can be represented in an understandable format, including data and information elements suitable for digitalization.

With the definitions and language, any reality (equipment or process) in a port terminal environment can be uniquely described. The vocabulary needs to be valid for any equipment, process and protocol (digital or human) in any port terminal in any location. The typical elements that make up the port terminal activities are cargo handling equipment (any kind of machine within the terminal that performs a job or task), external vehicles (trucks, vessels, trains), terminal infrastructure (berth, yard, gate), or auxiliary elements (energy, light, refuelling…).

For data-driven terminal operations, the subject of standardization concerns the data and information elements linking the digital solutions to the physical equipment and hardware.

To achieve the above goal TIC4.0 has developed a Semantic set of rules based on human language which helps in the creation process of the definitions/vocabulary. The definitions/vocabulary can be considered as the building blocks and together with the TIC4.0 semantic rules, allow the user to describe any reality in a specific, unambiguous way, irrespective of the level of technology used in a terminal.

The vocabulary is managed in a Dataset, which is basically a one-dimensional database list. This list is not static and will grow exponentially as TIC4.0 continues to work on more and more segments and areas of a terminal.

The work of TIC4.0 is to define the individual entries of the Dataset/Dictionary, focusing on a logical group or theme. In the Dataset/Dictionary the user can see the status of each entry and which entries are published and a link to the definition is provided.

To apply the vocabulary in each entry in several digital protocols, a Data Schema is needed. TIC4.0 will propose a Data Schema for each of the most common protocols, but the Data Schema is compatible with any protocol. In the examples that are provided, TIC4.0 usually uses JSON as it is very user-friendly and easy to read.

2. Data Model

For the digital formatting of the Semantic and Dataset, we need a Data Model to structure the data and a Data Schema to define the details of the content such as the validity of the format, the type of data (boolean, entire, real etc.), which data is mandatory or could be omitted etc.

The Dataset has been defined based on the RDF https://en.wikipedia.org/wiki/Resource_Description_Framework using the subject->predicate->object schema.

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

SUBJECT creates the hierarchy tree structure (we have sub-subjects) that helps to identify the boundary of the value. The hierarchy is fixed by TIC4.0 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 various identical subjects but with different metadata (id or name or location or…) can be sent in the same message (one message with several CHE's or one CHE with several spreaders).

The CONCEPT's metadata defines “what is” and the CONCEPT “what does”. Both are flat (no hierarchy, no arrays) and as many as necessary can be used. Additionally, two concepts can be combined with “and” or “or” creating a new concept which includes the condition that makes both true. For e.g. “hoisting_and_trolleying” represents the action of hoisting and trolleying at the same time (both statuses must be true).

OBSERVED PROPERTies define the “magnitude” of the CONCEPT, are flat (no hierarchy) and can be used as many times as necessary with a 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 different Units will give an array (a list) of VALUEs. The array could be as long as necessary in 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.

A detailed definition of the Data Model can be found in https://tic40.atlassian.net/l/c/XBT1vEBA

The Data Schema was provided as part of the 2022.004 release and it defines the rules that the Data Model will follow and allows the translation from a hierarchy format to a flat format.

The Dataset is the content of the Data Model, a flat version without hierarchy or rules. The Dataset is used by humans but machines need the Data Model and the Data Schema to translate it to a digital format.

3. Generic Documentation

In this release we are publishing the following element:

4. Definitions

In this release we defined the following elements:

Generic Definitions

Job Instruction

Spreader