Submitted by admin on Wed, 08/10/2022 - 22:50

Ability to react quickly when facing emergency situations

Sequence Number 4 Industry Airports & Airlines Banner Ability to react quickly when facing emergency situations How 5G enabled

Digital twins ability to simulate emergency situations, traffic patterns in and around the airport environment in a 3D representation to better plan, manage and react to situations.

Data Flows
Title Devices Icon Devices Description
  • Various types of cameras at all critical locations
  • Real-time image data to be collected as well as other sensor data
Title Connectivity Icon Connectivity Description
  • Images transmitted to edge and enterprise storage
  • Develop MV models driven by analytics needs
  • Timeseries / Asset data
Title Edge Compute Icon Edge Compute Description
  • AI (MV) to analyse images real-time so direct action can be taken
  • Assume both real-time and some non-real-time needs
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data to be mastered in this enterprise storage to avoid data ownership issues
Title Applications & Services Icon Applications & Services Description
  • Non-critical MV / ML models execution
  • Automated processes by default
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Exploit XR to show passenger analytics
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Personal data privacy and protection is to be considered when collecting, analysing, and viewing data.
  • Assume that real-time is the norm which means that direct intervention is possible.
  • Collect images from different angles since they will have different purposes.
  • Use all available data collected for other pain points.
  • Security issues need to be considered as information would be of interest to many parties.
Description
  • All models are to be developed by joint effort of SME and data scientists.
  • Development of these models will be iterative (will require time) to achieve an appropriate quality level.
  • There will be multiple MV models since ground operations will be tracked against different criteria.
  • Both MV and ML models developed will be operating to monitor the state of the airport, e.g. people flow, system flow, equipment statuses.
Description
  • Digital Twin to be deployed with interactive 3D visualisation of existing systems.
  • MV and ML models used within the Digital Twin will allow monitoring of situations and fast decisions with full visibility of airport operations.
  • All data mastered in Enterprise data store and then provided, as needed to AI applications
Expected benefits Key value created