Submitted by admin on Fri, 08/19/2022 - 09:17

Lack of cross-vehicle control of IGVs (Intelligent Guided Vehicles)

Sequence Number 6 Industry Seaports Banner Lack of cross-vehicle control of IGVs (Intelligent Guided Vehicles) How 5G enabled

Adding appropriate sensors to the site.

Data Flows
Title Devices Icon Devices Description
  • Sensors (cameras/speed/flow/etc.) deployed on all critical assets
  • Cameras to be used as well for meter reading, switch settings, etc.
Title Connectivity Icon Connectivity Description
  • Time series data transport
  • Mostly camera images
  • Asset data
Title Edge Compute Icon Edge Compute Description
  • Time-critical decisions
  • Camera - MV interpretation for real-time navigation
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
  • MV models developed to support all remote-control scenarios
  • E2E automated
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Decisions made increasingly by AI processes based on AI models. However, these decisions are still validated by operations 
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • List all the remote control and self-guide scenarios.
  • Based on these scenarios, decide what sensors to install and where, as well as the type of sensors to be deployed.
  • Edge + 5G to be used for all time critical (real-time) events.
  • Minimum camera image quality of 720p.
Description
  • All collected data from edge sensors will be stored long-term in Enterprise storage.
  • Development of the ML model is done through an iterative process. A quality ML model (fully data-driven) will require multiple steps to be able to perform intelligently.
  • Models will be stored and maintained by AI applications.
  • SME and data scientists to develop the models. It will require time to achieve an appropriate quality level.
Description
  • The process from data collection to execution of models is fully automated.
  • Vehicles will be able to make decisions such as to stop, pause or move through guided pathways.
  • Vehicles will be able to perform more complex detection and navigation based on AI model improvements.
  • Operations will be alerted when needed.
Expected benefits Key value created