A larger number of network issues causing network quality issues
Sequence Number
9
Industry
Energy
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How 5G enabled
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Data Flows
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Devices
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Description
Wide range of sensors collecting time series data
Making sure sensors at all critical locations; use same sensors as for Pain Point Viii
Cameras – 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
Historical data is important here to improve results
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Applications & Services
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AI (ML) based apps: Predict network issues from happening by raising them in time
Models to determine what is negatively impacting quality
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Inform Decision Makers
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Only in cases of issues reporting to Operations
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Support Decision Making
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Description
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.
Other data needed: SAP Asset data; Production data; Critical customers; etc.
Description
Linking SMEs + Data Scientists + Data Engineering staff to single team driving this.
Looking at latest generation of sensors: Options and Costs difference.
Expected benefits
Be ready for increasing distributed energy generation