Definitions and Standards

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This document defines the core concepts used by the Clawdite platform and demonstrates their alignment with the ISO 23247 Digital Twin Framework for Manufacturing.
The goal is to ensure Clawdite moves beyond ad-hoc industrial implementations toward a standardised, interoperable, and ISO-compliant architecture.

Standards Reference

Clawdite aligns with the following international standard:

  • ISO 23247 – Digital Twin Framework for Manufacturing
    • ISO 23247-1: Overview and General Principles
    • ISO 23247-2: Reference Architecture

Core Definitions

To ensure compatibility with international standards while reflecting the specific scope of Clawdite, the definitions below are adopted directly or derived from ISO 23247-1.

Observable Manufacturing Element (OME)

An Observable Manufacturing Element (OME) is:

An item that has an observable physical presence or operation in manufacturing.

Examples include:

  • Personnel
  • Equipment
  • Materials

ISO Alignment
ISO 23247-1 explicitly lists Personnel as a valid OME type.

Digital Twin (Manufacturing)

A Digital Twin (Manufacturing) is defined as:

A fit-for-purpose digital representation of an Observable Manufacturing Element (OME) with synchronisation between the physical element and its digital representation.

Human Digital Twin Context

When the OME is a human worker:

  • The physical entity is Personnel
  • The digital representation models worker-related attributes
  • Synchronisation enables analysis, simulation, and decision-making

Clawdite implements this definition by creating high-fidelity virtual replicas that support real-time reasoning and operational decisions, fully satisfying ISO requirements.

Human Digital Twin (HDT)

A Human Digital Twin is a Digital Twin where the OME is a human worker.

Typical attributes may include:

  • Availability
  • Certifications and qualifications
  • Physiological or ergonomic status
  • Operational constraints

Clawdite Platform

Clawdite is an extensible and flexible Industrial Internet of Things (IIoT) platform designed to support the creation of customised data representations of production systems and their entities, with a primary focus on Human Digital Twins.

Key characteristics:

  • Acts as a single source of production system data
  • Provides the implementation infrastructure for the Digital Twin Framework
  • Supports extensibility for analytics, simulation, and decision support

ISO Architecture Mapping:

  • Digital Twin Entity: Implemented via the Orchestrator and Data Managers
  • Device Communication Entity: Implemented via Agents and Gateways

(As defined in ISO 23247-2)

Functional Modules

Functional Modules are pluggable computational components within Clawdite that process entity attributes to enable: simulation, prediction, reasoning and decision-making.

Examples include:

  • Fatigue estimation algorithms
  • Skills and capabilities matching
  • Entities trajectories prediction
  • Workers’ activity monitoring