The presentation introduces a Google Cloud native architecture for collecting, processing, analyzing and archiving of events from IoT devices, vehicles as well as upstream software systems. InfluxDB and its connection to global native Google Cloud services like BigQuery or Cloud Machine Learning Engine as well as Kubernetes is at the center of the architecture. The architecture demonstrates how access to global scaling cloud services addresses use cases from the Energy Sector.
3. ● Production
○ Energy production systems monitoring and anomaly detection
■ Oil, gas, wind, hydro, solar and others
● Distribution
○ Smart grid: maintaining an equilibrium across energy supply and demand
■ Renewable and non-renewable energy production/demand forecasting
■ https://towardsdatascience.com/how-machine-learning-can-transform-the-ener
gy-industry-caaa965e282a (devices: synchrophasers)
● Consumption
○ Fleet performance optimization (cars, trucks, planes, etc.)
○ Commercial manufacturing sites, office buildings
○ Public infrastructure
○ Private households
Use Cases: Energy Sector
4. ● Event collection
○ From production systems
○ From consumption locations
○ Absence check: requires static
equipment inventory data
● Event monitoring
○ Outages
○ Trends
○ Anomalies
■ Was there actually an outage?
Use Cases: Analysis
● Forecasting / prediction
○ Combination of
■ Current events
■ Historic events
■ Non-event data like models,
weather data, road conditions,
etc.
● Off-line analysis
○ Combination with non-event data
● Archiving
○ Long duration analysis
5. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
6. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
7. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
8. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
9. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
10. Life Cycle of an IoT Event
Gateway
Ingest
Time Series
Database
Real-time
Analytics
Offline
Analytics
Static data
sources
Dynamic data
sources
Application
Systems
Short / Long
term archive
11. Google Cloud: Regions and Zones
https://cloud.google.com/about/locations/#regions-tab
12. Google Cloud: Global Network
https://cloud.google.com/about/locations/#network-tab