Submitted by admin on Thu, 08/18/2022 - 12:25

Inability to move towards autonomous plants

Sequence Number 2 Industry Manufacturing Banner Inability to move towards autonomous plants How 5G enabled

Decisions will be increasingly made directly on the basis of the AI outcome, starting with low-risk decisions and evolving over time to high-risk decisions.

Data Flows
Title Devices Icon Devices Description
  • Broad spectrum of sensors collects a wide variance of data (images/flow/temp/ speed,etc)
  • Sensors: fixed/drones/ robotics (driving/swimming)
Title Connectivity Icon Connectivity Description
  • Imagery, time series, event, etc. data transport
Title Edge Compute Icon Edge Compute Description
  • Storage and compute, in some cases, at the edge level for time-critical decision making
  • Can be for any type of data
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • Non-critical data stored in Enterprise (cloud) storage
  • Critical data to be copied from Edge to Enterprise storage
Title Applications & Services Icon Applications & Services Description
  • MV and ML applied to assist in decision making from simple to — over time — advanced tasks
  • Autonomous means that AI makes the call
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Final decision made by AI process (becomes increasingly complex over time)
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Data (event/timeseries/images/ etc.) collected from various sensors (e.g., temperature, pressure, etc.) – currently present or to be installed on machinery.
  • Assume a broad spectrum and large numbers of sensors.
  • Cameras collect high resolution video and image data to be accounted for in analysis.
Description
  • 5G/edge compute will enable AI to process time-critical data to take proper actions in real-time which will be needed for various actions.
  • ML and MV processed data beyond prediction, building rule-based business logic for automated decision making.
  • Iterative process for developing these models, to achieve required accuracy (mandated step wise approach).
Description
  • Incremental approach – automated decision making will be applied for low-risk tasks and will increase in risk level until complete autonomous operation is achieved (will require time).
  • Real-time explainable and trusted decisions using complex business logic that is traceable to understand the logic flow of AI.
Expected benefits Key value created