Introduction of the Carlo Gavazzi EM24

• Carlo Gavazzi EM24 is a Three-phase energy analyzer.
• It is designed to monitor power in various industrial applications.
• Carlo Gavazzi EM24 offers a direct connection up to 65A, as well as a wide data interfacing capability.
• This energy analyzer is suitable for three-phase systems in applications such as energy efficiency monitoring, industrial automation, and legal submetering.

An Introduction of Long Range and LoRaWAN Technology

LoRa is a long-range and lower-power wireless communication system providing attractive features that are critical for application in Industrial IoT

• LoRaWAN is an LPWAN standard based on an open-source MAC layer protocol brought out by LR Alliance.
• With great reliability and practicality, LoRaWAN has widespread network deployment as there are more than a hundred LoRaWAN network operators around the world.

An Introduction to Microsoft Azure

• Microsoft Azure, formerly known as Windows Azure, is Microsoft’s public cloud computing platform.
• It provides a wide range of cloud services, including computing, analytics, storage, and networking.

Why Use the Cloud?

• Because Microsoft Azure consists of numerous service offerings.
• Its use cases are extremely diverse.
• Running virtual machines or containers in the cloud is one of the most popular uses for Microsoft Azure.

Result Dashboard

Figure 1. Dashboard
Figure 2. Kilovolt-ampere unit of apparent power
Figure 3. Power Factor
Figure 4. Kilovolt-ampere-reactive-hour unit of reactive power
Figure 5. Kilovolt-Amperes Reactive, unit of reactive power
Figure 6. Frequency
Figure 7. Kilo watt
Figure 8. Kilowatt-hours
Figure 9. Ampere
Figure 10. Voltage

Watch The Video

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Question

Question 4. How much the energy consumption on figure 7 ?

Question 5. What could be the reason to energy frequency change? Sometime Low and Sometime High.

Question 6. What is the apparent power in figure 2 ?

Question 7. What is the real power? What is the reactive power ?

Authors :
Md. Z Khan, IoT student, Savonia University of Applied Sciences, Md.Khan@edu.savonia.fi
Tahsina F Tasmi, IoT student, Savonia University of Applied Sciences, Tahsina.Tasmi@edu.savonia.fi

Project has done by:
Md. Z Khan, IoT student, Savonia University of Applied Sciences, Md.Khan@edu.savonia.fi
Tahsina F Tasmi, IoT student, Savonia University of Applied Sciences, Tahsina.Tasmi@edu.savonia.fi

Supervision:
Arto Toppinen, Principal Lecturer, Savonia University of Applied Sciences, Arto.Toppinen@savonia.fi
Rajeev Kanth, Principal Lecturer, Savonia University of Applied Sciences, Rajeev.kanth@savonia.fi
Pasi Lepistö, Senior Lecturer, Savonia University of Applied Sciences, Pasi.Lepisto@savonia.fi

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