Submitted by admin on Thu, 08/18/2022 - 22:52

Lack of speed moving towards autonomous operations

Sequence Number 1 Industry Seaports Banner Lack of speed moving towards autonomous operations How 5G enabled

Lack of standards, such as TIC 4.0, makes it difficult to achieve efficiency. Therefore, we take a stepwise approach whereby 5G will be an important enabler.

Data Flows
Title Devices Icon Devices Description
  • Sensors (cameras/speed/flow/etc.) deployed on all critical assets
Title Connectivity Icon Connectivity Description
  • Time series data transport
  • Camera images
  • Asset data (maintenance records) access
Title Edge Compute Icon Edge Compute Description
  • Time critical activities
  • Camera – MV interpretation
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data collected from assets (both historical and real-time)
  • Enterprise-owned storage
Title Applications & Services Icon Applications & Services Description
  • Non-time critical activities
  • E2E automated
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Increasing number of decisions made by AI processes based on AI models 
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Identify critical assets.
  • Collect event and/or timeseries data from these critical assets, potentially using sensors.
  • Collect camera images (fixed/drones/robotics/etc.) with image quality to be at least 720p.
  • Collect as much data as possible about selected assets and surroundings as ML models will be strengthened with more data.
  • Edge + 5G to be used for all time critical events.
Description
  • All edge-collected data will be stored long-term in Enterprise storage.
  • AI (ML) application and AI (MV) application requests the data it needs for model development from Enterprise storage to copy in its own storage cache.
  • Development of the ML model is done through an iterative process. A quality ML model (fully data-driven) will require multiple steps to detect anomalies and potential failures.
  • Models will be stored and maintained by AI applications.
Description
  • The process from data collection to execution of models is fully automated.
  • Only alerts to operations in case of anomalous data behavior. In other cases, over time AI capabilities will increase and execute decisions without operator involvement.
  • Various options for visualisation of entire operations (e.g., XR options on OpenXR platform).
Expected benefits Key value created