Submitted by admin on Thu, 08/18/2022 - 13:09

Siloed data leads to ongoing operational inefficiencies

Sequence Number 3 Industry Manufacturing Banner Siloed data leads to ongoing operational inefficiencies How 5G enabled

Relevant, real-time data sources are aligned in enterprise data storage to enable accurate and timely AI based decision-making.

Data Flows
Title Devices Icon Devices Description
  • Cameras collect images, video, meter readings, etc.
  • Sensors and other devices will collect flow rates, pressure, temperature, etc.
Title Connectivity Icon Connectivity Description
  • All data types collected will be transmitted
  • Different protocols may be utilised
Title Edge Compute Icon Edge Compute Description
  • Not required, may change for certain equipment where failure lead times are shorter
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data stored in Enterprise storage
  • Keys not aligned between multiple storage: Time series; Asset Maintenance; Engineering; P&ID, etc.
Title Applications & Services Icon Applications & Services Description
  • Applying Digital Twin-aligned technologies to align these critical data sources such that asset information can be located immediately
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Should greatly improve MOC (Management of Change) activities and related turnaround work
Title Support Decision Making Icon Support Decision Making Description
  • Step towards Digital Twin
Application Logic
Description
  • Critical data sources are identified across the operation of the plant.
  • Point cloud/3D engineering models as input.
  • Data could be received from many different sources (real-time and non-real time).
  • Real-time sources will increase over time.
Description
  • Locate the keys (unique identifiers) in use across data sources.
  • Use Digital Twins-based technologies to match the various data sources to create a single 3D-aligned view with all data collected in view.
  • For matching, various technologies will be used.
  • Using this single view to do engineering/maintenance-related activities.
  • Quality of matching improves over time.
Description
  • Drives improvement of quality of the data sources and therefore matching as well.
  • Will have a large positive impact on any maintenance job in terms of speed and quality.
  • Apply AI on completed projects to determine how further improvements can be made.
  • SME involvement working with data scientist is required.
Expected benefits Key value created