Model

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The Clawdite data model

Clawdite’s reference model describes a HDT including human-centred elements but also contextual elements, relevant to characterise the workers and the surrounding environment in a production system. The model and its implementation aim at releasing an extensible, scalable and adaptable HDT. The advantage for the adopters of the proposed HDT model is two-fold: they can rely on a model built on the robustness of a scientific result; they are provided with ready-made packages of entities to instantiate their own HDT, by including also human-centred aspects (e.g., interactions, events), and software-based simulations/predictions (e.g., output of functional models predicting the state of factory entities).

There are 3 main types of data which are managed in Clawdite: measurements (dynamic data), characteristic (quasi-static data) and states (the output of functional modules).

Main elements

  • Descriptor Elements (white, red, purple and blue boxes): contains the description and definition of all the HDT entities, and could be characterized by unit of measures, scales, category and taxonomies.
  • Factory Elements (yellow boxes): The factory and its components are described by a hierarchical structure. The worker has a dedicated representation for enabling processing in the functional modules.
  • Relationship Elements (green and orange boxes): events, interactions, interventions and exemptions describe the relationship between factory entities or workers.
  • State Elements (sky blue boxes): Functional modules, based on the HDT knowledge, compute and provide insights related to factory entities and workers according to the defined block format.
Characteristic Models

Define quasi-static and static data describing workers and factory things.

Common Descriptors

Describe properties, characteristics, measurements, dimensions and states of the entities operating in a factory.

Event and Interaction Models

Define the events and interactions between entities in the factory.

Intervention Models

Define interventions to orchestrate the production system and the things acting within it.

Measurement Models

Define measurements and data collected from workers and things in the factory.

Production System Models

Define entities acting in the factory and collecting measurements to feed the HDT.

State Models

Define states computed by functional modules by elaborating entities and attributes, making the HDT capable of simulating, predicting, reasoning, and deciding.

Worker Models

Define worker instances.