Siloed data leads to ongoing operational inefficiencies
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3
Industry
Manufacturing
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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
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Devices
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Description
- Cameras collect images, video, meter readings, etc.
- Sensors and other devices will collect flow rates, pressure, temperature, etc.
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Connectivity
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Description
- All data types collected will be transmitted
- Different protocols may be utilised
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Edge Compute
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Description
- Not required, may change for certain equipment where failure lead times are shorter
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Cloud Compute & Storage
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Description
- All data stored in Enterprise storage
- Keys not aligned between multiple storage: Time series; Asset Maintenance; Engineering; P&ID, etc.
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Applications & Services
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Description
- Applying Digital Twin-aligned technologies to align these critical data sources such that asset information can be located immediately
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Inform Decision Makers
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Description
- Should greatly improve MOC (Management of Change) activities and related turnaround work
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Support Decision Making
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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
- Speed of execution for any maintenance/engineering project greatly improved
- Speed & quality of MOC (Management of Change) and turnarounds improved
Key value created
- Various aligned datasets will enable better and faster decisions, resulting in increased uptime