This document presents the development of a condition monitoring system for solar panels using a Raspberry Pi processor. The system aims to automatically monitor solar panels to improve efficiency by analyzing electrical parameters, thermal images, and environmental conditions. Data like voltage, current, power output, temperature, and RGB values from thermal images will be sent to an IoT platform for remote monitoring of panel health and performance. The system is expected to reduce labor and increase productivity compared to manual monitoring.

1. DEVELOPMENT OF CONDITION
MONITORING SYSTEM FOR SOLAR PANEL
USING RASPBERRY PI PROCESSOR
Presented by
Dr.C.Muniraj
Professor and Head
Department of Electrical and Electronics Engineering
Knowledge Institute of Technology
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2. PROLOGUE
 INTRODUCTION
 OBJECTIVES
 METHODOLOGY
 SCOPE FOR PATENT
 SYSTEM DESCRIPTION
 EXPERIMENTAL SETUP
 RESULT & ANALYSIS
 CONCLUSION
 REFERENCES
 RASPBERRY PI 3
PROCESSOR
 ARDUINO UNO
 BMP – 180 SENSOR
 THERMAL CAMERA
 SOLAR PANEL
 REMOTE ACCESS OF R- PI
 VOLTAGE DIVIDER
 OPENCV
 IoT PLATFORM
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3. INTRODUCTION
 Renewable sources of energy which are both sustainable and
environment friendly. In current scenario Tamilnadu state is
developing in implementing solar energy.
 The solar panels are erected in various fields, the atmospheric
conditions such as dust, pollen grains on these various fields
differ from time to time which results in reduction of
efficiency in the solar panels, and there is a need for manual
operation to monitor.
 Since to improve the efficiency of solar panel, there is a need
for automated monitoring and results in reduction of labor and
increase in productivity.
 Finally the analyzed results are shown in IoT platform.
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4. OBJECTIVES
 To obtain electrical parameters of PV panel such as voltage,
current, power and maximum value of RGB (Red Green Blue).
 Analyzing the PV condition using thermal image processing.
 To live telecast the images captured by the thermal camera and
also obtain the external parameters such as temperature,
pressure, humidity, altitude.
 To transfer these data in a particular server(thingspeak IoT
platform) with the help of raspberry pi processor.
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5. METHODOLOGY
 The electrical parameters are sent to raspberry pi through
arduino uno via serial communication.
 Even by calculating both electrical and external parameters of
the PV panel, we can easily detect whether the system is in
good condition.
 Thermal image is captured and analyzed with the help of
opencv. Finally the values of the thermal image are sent to the
IoT platform where we can monitor whether the panel is
healthy or faulty.
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6. SCOPE FOR PATENT
• The Raspberry Pi is a credit-card-sized computer that can be
easily interfaced with thermal camera and arduino uno. It is a
capable little computer which can be used for monitoring
purposes (IoT) and user friendly.
• Automated thermal image analysis is performed by taking the
maximum RGB values of PV panel and sent to IoT platform
using raspberry pi.
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7. System description
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8. IoT Platform
• Think speak –matlab Ltd
• IBM blumix
• Amozon cloud
• Cisco IoT
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9. Experimental Setup
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10. HARDWARE DESCRIPTION
• BMP-180 sensor was measured accurately temperature,
pressure, altitude and humidity.
• Thermographic Camera is a device that forms an image
using infrared radiation, similar to a common camera that
forms an image using visible light.
• Arduino Uno is a microcontroller board based on the
ATmega328. It has 14 digital input/output, 6 analog inputs, a
16 MHz crystal oscillator, a USB connection, a power jack, an
ICSP header, and a reset button.
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11. SOFTWARE DESCRIPTION
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12. RESULT & ANALYSIS
The temperature values of the
atmosphere conditions are
stored in the IoT platform and
they are measured and
compared to the original
system.
The pressure values of the
atmosphere conditions are
stored in the IoT platform and
theyare measured and compared
to the original system.
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13. CONTINUE..,
The altitude values of the
atmosphere conditions are
stored in the IoT platform and
theyare measured and compared
to the original system.
The voltage values of the
atmosphere conditions are
stored in the IoT platform and
theyare measured and compared
to the original system.
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14. CONTINUE..,
This is the captured thermal
image of the healthy PV panel.
Thus, the RGB maximum
values of the atmosphere
conditions are stored in the IoT
platform and theyare measured
and compared to the original
system.
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15. CONCLUSION
 The electrical Parameters like voltage, current and power of
the solar panels which helps to determine the efficiency of the
solar panels. The overall projects deal with the datum of
atmospheric datum, electrical parameters and RGB of solar
panel that can be sent to the IoT platform.
 A real value helps to find out the efficiency of the solar panels.
The entire datum can be seen by our mobile phone, laptop or
PC and also monitor which can be attached by the raspberry
pi.
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16. REFERENCES
 http://www.adafruit.com/products/1603
 https://github.com/adafruit/Adafruit_Sensor/blob/master/Adafruit_Sensor.h
 https://forum.arduino.cc/index.php?topic=379142.0
 http://www.instructables.com/id/ThingSpeak-Temperature-Monitor-with-
Raspberry-Pi/
 http://www.slblabs.com/2012/09/26/rpi-webcam-stream/
 https://thingspeak.com/channels/239277/private_show
 https://github.com/adafruit/Adafruit_Sensor/blob/master/Adafruit_Sensor.h
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17. THANK YOU
ANY QUERIES?
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