Sequence Number
8
Industry
Energy
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How 5G enabled
With 5G support for large numbers of sensors, low latency and high data throughput it becomes possible even for large utility power networks to collect all needed types of data
Data Flows
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Devices
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Description
Wide range of sensors collecting timeseries data
Making sure sensors at all critical locations
Camera – images to know at any one time physical status
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Connectivity
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Using 5G to get data to edge or Cloud storage
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Edge Compute
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Description
Latency critical data could be stored and (AI) processed at the edge
Make a list of scenarios when edge is important and should be used over cloud,
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Cloud Compute & Storage
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All data to be stored in Enterprise storage to ensure enterprise ownership
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Applications & Services
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Description
AI (ML) based apps for IT based data covering various availability aspects.
Include MV for images.
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Inform Decision Makers
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Only in case of issues reporting to Operations.
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Support Decision Making
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End of process
Application Logic
Description
In the case of an Power Utility a large geographical area needs to be covered and therefore sensors need to be installed at many critical locations; 5G is the key technology to connect these sensors nationwide to Edge and Cloud storage.
Cameras also to be used to collect the visual status of certain utilities to be used for AI-MV to check that equipment is not seriously damaged.
Other data needed: SAP Asset data; Production data; Critical customers; etc.
Description
Also link this to Digital Twin so there is as well a 3D image of the sites and power utility.
Linking 5G and Digital Twin gives a real time 3D image of the Utility with all critical data included real time.
Linking SMEs + Data Scientists + Data Engineering staff to single team driving this.
Looking at latest generation of sensors: Options and Costs difference.
Description
As output we have an integration of Digital Twin and underpinning real time data sources to have a real time picture at any one time.
Set up should be ready for autonomous decisions in part of the network.
Interconnection of Power Generation and Utilities to get to an optimised end to end experience
Be ready for a very distributed set up and therefore data collected at many points.
Expected benefits
Be ready for increasing distributed energy generation
Key value created
Real time data driven AI ML delivers an optimised utility