Analysis of Smart City Digital Twin and reference data

Stage 3ContentsStage 5

Stage 4

Once all the data is uploaded and processed in Neo4j the data patterns and relationships can then be explored. In this example, the larger circles represent Reference and Digital Twin classes and the smaller ones the instance data.
Here we have data showing that two Vehicles at different locations have recorded a Ransomware security event.

A search query in Neo4j identifies the Nodes and Relationships and the association with the Reference Class – Manipulation of Information.

Digital Twin Reference data
Digital Twin reference data

The investigation of the event and data begins by selecting and expanding the Reference Class – Manipulation of Information. This extends the Node to Domain and Subclass (SCO) references.

Digital Twin reference data extension
Digital Twin reference data extension

The Manipulation of Information Node is a Subclass of Security Event and is the Subject of two Predicates – Is a City Mobility Risk and Is a Business Risk. The Ranges or Object Classes would refer to different kinds of Mobility Assets such as Vehicles, eBikes or Autonomous Vehicles.

Investigation could infer that this event may impact on other Assets with similar properties or vulnerabilities or could have occurred elsewhere at other City locations.

Digital Twin reference data association
Digital Twin reference data association