servise control reference

Autonomous Vehicles (AGV) in Škoda Auto

REFERENCE – Historical data storage for retrospective analysis, alarm and event management, detection of abnormal or critical states, monitoring and visualization of logistics performance. These are just a few features Škoda Auto uses.

Project Objectives

The main goals of the project were to:

  • automate internal logistics and related production processes,
  • replace manual handling using forklift trucks,
  • obtain detailed operational data from logistics processes,
  • ensure secure data transmission and integration into Škoda Auto IT systems,
  • enable advanced analysis and process optimization.

The initial state was characterized by a low level of digitalization, with very limited data availability and no systematic way to evaluate.

Autonomous vehicle used in Skoda Auto

Technology solutions

The mySCADA and DataTalk platform serves as the central data and integration layer, collecting vehicle telemetry and diagnostic data from PLCs (in this case Rockwell Automation Safety Logix PLCs), transmitting it securely via the DataTalk OT/IT Gateway and MQTT, and distributing it into two main systems. See the diagram below.
The TCS (Traffic Control System) handles AGV fleet control and basic operator visualization within Škoda Auto, while mySCADA provides advanced real-time monitoring, remote web access, and full control and configuration of the vehicles.

System architecture diagram

Visualization and Control

The visualization of AGVs position is placed on vector map along with key AGV parameters such as state, speed and battery state. Visualization is available to operators in field using tablets, or to any personnel connected to local Skoda IT network.

mySCADA (SW myPRO) operates in a fully redundant mode to ensure continuous availability (24/7).

Aside of visualization:
historical data storage for retrospective analysis
alarm and event management
– detection of abnormal or critical states
– monitoring of logistics performance


Standardized data enables further use in analytics and integration with higher-level system.

Overview of AGVs in the Škoda warehouse and their predefined routes

Current status of the autonomous vehicle: selected program, battery level, and other operational information

Autonomous vehicle parameters: battery capacity, voltage, speed, and other key metrics

Read more in the PDF reference.

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