Submitted by admin on Mon, 08/08/2022 - 06:54

Siloed data leads to operational inefficiencies

Sequence Number 4 Industry Energy Banner Siloed data leads to operational inefficiencies How 5G enabled

Large amounts of data can be transferred from various data sources, ensuring accurate, aligned and timely information

Data Flows
Title Devices Icon Devices Description
  • Cameras collect images, video, meter readings, etc.
  • Sensors, etc. 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
  • Time-critical data not required
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data stored in Enterprise storage
  • Not the same keys between aligned storages: Time series; Asset Main; Engine; P&ID, etc.
Title Applications & Services Icon Applications & Services Description
  • Applying Digital Twin-aligned technologies to align 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 technologies
Application Logic
Description
  • Align: Tag data from PI; Asset data; P&ID data into one integrated stream
  • Critical data sources are identified across the operations of the plant and used as input for data integration
  • (Laser) 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 in use across the data sources
  • Use Digital Twin-based technologies to match the various data sources and create a single 3D aligned view
  • For matching various technologies will be used 
  • Using this single view to do engineering/maintenance-related activities
  • Quality of data matching improves over time, leading to better integrated view and faster decision making
Description
  • This leads to a Digital Twin implementation across the site whereby all site staff use the same data and data sources for their work
  • Will have a large positive impact on any maintenance job: speed (weeks, days, hours) and quality
  • Apply AI on completed projects to learn how further improvements can be made
Expected benefits Key value created