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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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MULTI CHANNEL SENSOR MEASUREMENTS IN FOG COMPUTING ARCHITECTURE FOR
RENEWABLE ENERGY SOURCES SYSTEMS MONITORING
Ilija Radovanović, Djordje Klisić, Ivan Popović
School of Electrical Engineering, University of Belgrade,
Innovation Center of School of Electrical Engineering in Belgrade
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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OUTLINE
• Fog computing + IoT concept
• Multi Channel Sensor Measurement
• Renewable Energy Sources Systems Monitoring
• Conclusion
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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INTRODUCTION
• Fog computing concept
• Internet of Things
• Internet of Everything
• Energy consumption
•Data intelligence
• Energy efficiency
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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FOG COMPUTING• Novel trend
• Flexible amount of data
• Diversity of sensors
• Making things smart
• VS Cloud Computing
• Localization
• Centralized data processing
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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MULTI CHANNEL SENSOR MEASUREMENT
• Local communication
• Better localized accuracy
• Local aggregation of the gathered data
• Enabling data analytics
• Knowledge generation occurring at the data source
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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Renewable Energy Sources Systems Monitoring
• Creation of smart environments• Energy production plants - Monitoring of the system, environment and the conditions• Wind farm systems: remote high precision sensors for vibration, positioning, fluid property, pressure and environment monitoring sensors• PV systems/Solar thermal systems : air temperature, humidity, precipitation, wind speed, light, dust and direction sensors, solar irradiance sensors• System operation and maintaining purposes prediction application service needed
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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Conclusion
• Increased performance• Energy efficiency• Reduced latency• Quicker response time• Scalability• Better localized accuracy• The solution enables:
• efficient way of real-time monitoring• provides crucial information for further control and prediction services
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5. MKOIEE, Beograd, 12. i 13. oktobar 2017 5th ICREPS, Belgrade, 12th and 13th October 2017
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Thank you for your attention!!!
