The Role of Asset Administration Shells (AAS) in Industrial Automation

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Introduction

Asset Administration Shells (AAS) are revolutionizing industrial automation by enabling semantic interoperability and standardized digital representations of assets. At the VDI-Kongress Automation, experts highlighted key advancements in AAS submodels, including sensor measurement integration, plant-wide taxonomy, and production scheduling.

Learning Objectives

  • Understand the significance of semantic interoperability in AAS submodels.
  • Learn how AAS can describe entire plants, not just individual components.
  • Explore the Production Calendar Submodel and its integration with iCalendar (RFC 5545).

You Should Know

1. Semantic Interoperability in AAS Submodels

Relevant Standard: IDTA 0229-1 (Sensor Measurement Value Submodel)

Key Command (OPC UA Integration):

opcua-client --endpoint="opc.tcp://your-server:4840" --node="ns=2;s=Device1/Temperature"

Step-by-Step Guide:

1. Install an OPC UA client (e.g., `opcua-commander`).

  1. Query sensor data using the node ID format ns=2;s=Device1/{Parameter}.
  2. Map results to the AAS submodel via IDTA 0229-1 for standardized reporting.

2. Plant-Wide AAS Taxonomy

Tool: Eclipse BaSyx AAS Framework

Code Snippet (XML AAS Descriptor):

<aas:assetAdministrationShell xmlns:aas="https://admin-shell.io/aas/3/0">
<aas:submodels>
<aas:submodelRef href="urn:miriam:plant-layout001"/>
</aas:submodels>
</aas:assetAdministrationShell>

Steps:

  1. Define submodels for each plant component (e.g., plant-layout001).
  2. Aggregate submodels under a root AAS using Eclipse BaSyx.
  3. Validate interoperability using the AASX Package Explorer.

3. Production Calendar Submodel (IDTA 02067)

Standard: RFC 5545 (iCalendar)

Example Command (Python iCal Parsing):

from icalendar import Calendar
cal = Calendar.from_ical(open("production_schedule.ics").read())
for event in cal.walk("VEVENT"):
print(event.get("dtstart").dt)

Implementation:

1. Export production schedules as `.ics` files.

2. Parse events using Python’s `icalendar` library.

  1. Map to AAS submodel `IDTA 02067` for unified scheduling.

4. OPC UA PA-DIM Integration

Companion Spec: OPC UA PA-DIM

OPC UA Query:

ua-read -n "ns=4;s=PA_DIM/FlowRate"

Steps:

1. Deploy PA-DIM-compliant OPC UA servers.

2. Use `ua-read` to extract process data.

3. Align with AAS submodels for asset management.

5. AAS Security Hardening

Tool: AASX Server Hardening

Command (TLS Configuration):

server {
listen 443 ssl;
ssl_certificate /etc/ssl/aasx.crt;
ssl_certificate_key /etc/ssl/aasx.key;
}

Steps:

1. Generate TLS certificates via OpenSSL.

2. Configure NGINX to serve AASX packages securely.

  1. Enforce role-based access control (RBAC) in AASX Server.

What Undercode Say

  • Key Takeaway 1: AAS transforms industrial automation by bridging proprietary systems via semantic standards.
  • Key Takeaway 2: Submodel reuse (e.g., iCalendar) accelerates implementation and reduces vendor lock-in.

Analysis:

The push for plant-wide AAS adoption signals a shift from siloed automation to integrated Industry 4.0 ecosystems. However, challenges remain in scaling security and cross-vendor compatibility. Future developments may leverage AI for dynamic submodel optimization, further reducing manual configuration.

Prediction

By 2030, AAS will underpin 60% of smart factories, with AI-driven submodels autonomously adapting to production changes. Standardization bodies like IDTA and OPC Foundation will play pivotal roles in this transition.

References:

IT/Security Reporter URL:

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