SOLAR_PANEL_CLEANING_ROBOT_SYSTEM_IN_ARID_REGIONS_PPT_NOOBTRON_PRIVATE_LIMITED-1.pptx

kumaresanc6 83 views 25 slides Aug 16, 2024
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About This Presentation

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Slide Content

GNANAMANI COLLEGE OF TECHNOLOGY DEPARTMENT OF INDUSTRIAL ENGINEERING PROJECT TITLE: SOLAR PANEL CLEANING ROBOT USING ESP8266 MICROCONTROLLER PROJECT GUIDE : NAME OF YOUR PROJECT GUIDE DONE BY: STUDENT NAME

ABSTRACT The aim of this experimental research is to design and construct a solar-powered floor cleaning robot using an EPS8266 microcontroller and other components to enable efficient energy usage. The proposed robot will be equipped with Johnson motors and ultrasonic sensors to provide obstacle avoidance capabilities while moving and cleaning. The solar panel will act as a primary power source to recharge the batteries, ensuring that the robot can operate sustainably. The EPS8266 microcontroller will be used to control the robot's movements and receive commands via Wi-Fi, while a separate 12V motor will drive the cleaning brush.

The relay will control the power supply to the motors and other components, ensuring efficient energy use. This study will evaluate the performance of the proposed floor cleaning robot and compare it with conventional cleaning methods in terms of energy efficiency, cleaning speed, and the quality of cleaning. The research aims to contribute to the development of sustainable cleaning solutions that can help reduce the ecological impact of house cleaning. Keywords: Solar energy, Microcontroller, Maintenance, Real time monitoring, Robotics, Energy Efficiency

INTRODUCTION The Solar Panel Cleaning Robot (SPCR), or S-Robot, is designed to provide an efficient, waterless automated cleaning process for solar panels using advanced technologies like image processing, wireless communication, and sustainable energy management. The primary aim is to design and construct the S-Robot utilizing an ESP8266 microcontroller and various components to enable efficient energy usage. The robot's main functionalities include obstacle avoidance and automated cleaning. The S-Robot is equipped with Johnson motors, ultrasonic sensors for obstacle avoidance, and a solar panel to recharge batteries, ensuring sustainable operation. The ESP8266 microcontroller controls the robot's movements and receives commands via Wi-Fi, while a 12V motor drives the cleaning brush.

A relay is used to control the power supply to the motors and other components, ensuring efficient energy use. The solar panel continuously recharges the batteries during operation. The project addresses critical challenges in solar panel maintenance, such as efficient image processing, seamless information transmission, and innovative battery management, offering a more practical solution compared to traditional manual cleaning methods. The S-Robot aims to revolutionize solar panel maintenance by providing an automated, waterless cleaning process, enhancing the practicality and efficiency of maintaining solar panels.

The core operational principle of the S-Robot involves dry cleaning through sweeping, suctioning, and wiping. Ultrasonic sensors detect obstacles and send signals to the ESP8266 module, allowing the robot to navigate around obstacles automatically. The relay ensures efficient energy use by controlling the power supply to the motors and other components. Continuous recharging of the batteries by the solar panel supports sustainable robot operation. The S-Robot underscores the transformative impact of robotics in renewable energy maintenance, highlighting the potential of robotic systems to meet the growing demand for efficient and sustainable solar panel maintenance practices. By focusing on efficient information transmission through advanced data encoding and real-time control commands, the experimental research contributes to developing sustainable cleaning solutions. This reduces the ecological impact of solar panel maintenance and improves energy efficiency.

EXISTING SYSTEM One potential existing system for producing an effective solar panel cleaning robot is the creation of a robot with a rotating brush and pressurized air nozzle. The robot would then use the pressurized air to blow the debris away from the panels, ensuring that they are clean and free of obstruction. The robot would be equipped with sensors that detect the presence of debris on the panels and notify the operator when the cleaning process needs to be initiated.

Solar panels in arid regions tend to experience severe dust storms that can impact the efficiency of the panels over time. The implementation of an effective solar panel cleaning robot system can help maintain the cleanliness and optimal power output of the panels. The development of an effective solar panel cleaning robot system in arid regions can have a significant impact on the performance and lifespan of the panels. The implementation of such a system can help enhance the sustainability of solar energy systems by ensuring efficient power generation and reducing the maintenance costs associated with manual cleaning methods.

PROPOSED SYSTEM A proposed system for an effective solar panel cleaning robot in arid regions would involve the use of robotic arms equipped with specialized cleaning tools. The tools would be designed to remove dust and dirt from the solar panel surfaces, which can impact the efficiency of the panels over time. Additionally, the system would be designed to operate autonomously, requiring minimal human intervention. The proposed system could also include sensors to detect the level of dust accumulation on the panels, allowing the robot to automatically initiate cleaning when necessary. The system could be equipped with a GPS tracking system to help ensure proper maintenance and reduce the cost of manual cleaning methods. Finally, the proposed system would be designed to ensure the safety of its users and the surrounding environment, making it a secure and reliable solution for maintaining solar panel efficiencies in arid regions.

METHODS AND METHODOLOGY:   In this research, the development of a Solar Panel Cleaning Robot is described. The design encompasses electrical design, mechanical design, and the system proposed for the robot's operation. Electrical Design This research project is a solar-powered floor cleaner robot that operates with the help of an EPS8266 WiFi module, two Johnson motors, two 12V batteries connected in series, a separate 12V motor, an ultrasonic sensor, and a relay to control the power supply. The EPS8266 module is used to control the robot's movements, and it receives commands via WiFi .

The mechanical design of the solar panel cleaning robot is separated into three components: sensor placement, cleaning mechanism, and wheels and motor placement. Firstly, the ultrasonic sensor is strategically placed at the front of the robot to measure the distance between the robot and the solar panel and avoid any potential falling incidents. The placement of the capacitive proximity sensor between the ultrasonic sensor and the DC motor helps to enable rotation of the nylon brush. Secondly, the placement of the round brush above the solar panelin the robot's body, closely following the capacitive proximity sensor and the DC motor, ensures efficient brushing of the solar panel. Thirdly, the robot is fitted with two DC motors at the rear, which power the wheels, and two additional wheels are mounted in the front for stability and movement. Mechanical Design and Fabrication

Block diagram of the proposed system

Flowchart for the automatic functionality of the robot system

COMPONENTS USED 1. Solar Panel Cleaning Robot: The main component of the system would be a specialized robot designed to clean solar panels. The robot would be equipped with specialized cleaning tools and sensors that detect the level of dust accumulation on the panels. 2. Computer System: The solar panel cleaning robot would be controlled by a computer system that would handle both the autonomous cleaning and remote management of the robot. The computer system would also be responsible for the monitoring and analysis of the panels' performance. 3. GPS Tracking System: A GPS tracking system would be installed in the solar panel cleaning robot, allowing for the remote monitoring and tracking of the robot's progress. The GPS would also help to ensure the safe operation of the robot and allow for the identification of potential obstacles or issues.

4. Sensors: The solar panel cleaning robot would be equipped with multiple sensors that would monitor the level of dust accumulation on the panels, detect any obstructions, and determine the effectiveness of the cleaning process. 5. Specialized Cleaning Tools: Depending on the type and condition of the solar panels, different cleaning tools would be required. For example, soft brushes could be used to remove loose dust, while harder cleaning tools could be used to remove tougher debris. 6. Pressurized Air System: The solar panel cleaning robot would be equipped with a pressurized air system that would be used to blow dust and debris off the panels after cleaning. The pressurized air system would help to ensure that the panels are completely clean before the robot moves on to the next panel.

ADVANTAGES 1.Improved solar panel efficiency: By removing dust and debris from the solar panels, the robot system can help maintain the efficiency of the panels. This can lead to increased energy production and reduced maintenance costs over time. 2. Reduced labor costs: The use of a robot system can help reduce the need for manual cleaning, which can reduce labor costs associated with solar panel cleaning in arid regions. 3. Greater safety: By reducing the need for human workers to be on the solar panels, the robot system can help reduce the risk of accidents and injuries.

4. Automated operation: The robot system can be designed to operate autonomously, reducing the need for human intervention. This can help reduce the time and cost associated with manual cleaning. 5. Improved accuracy: The robot system can be equipped with sensors and data analytics, allowing for accurate monitoring and analysis of solar panel performance. This can help identify potential issues and optimize the cleaning process. 6. Scalability: The robot system can be designed to be scalable, allowing for efficient cleaning of large arrays of solar panels, which can be particularly useful in commercial and utility-scale solar installations.

LIMITATIONS OF EXISTING SYSTEM Cost: The initial cost of acquiring and deploying a robot system can be high, which may limit its feasibility for some users. Maintenance: The robot system will require regular maintenance to ensure it continues to function properly. This can add additional costs and require specialized skills and knowledge. Environmental factors: The performance of the robot system may be affected by environmental factors such as wind, dust, and temperature. These factors may require additional design considerations to ensure the safe and reliable operation of the robot. Limited scalability: While the robot system can be used for commercial and utility-scale solar installations, it may not be suitable for smaller installations or individual panels.

RESULT AND DISCUSSION The existing design of the robot is a special kind of robot because it has to work in a glass surface of the solar panels and the panel is an incline plane. Therefore, the design of wheels is replaced by two timing belts and one group of pulleys-wheels for each belt. This design can reduce the pressure of the robot acting on the glass surface and also increase the friction force to move easily. Furthermore, we can design an autonomous mode for the robot to work automatically. This can help to reduce the need for manual labour and enhance the efficiency of the robot's operations. Alternatively, we can design the robot to work with a user's guidance, which can help to reduce the risk of the robot falling down and ensure more effective cleaning results.

MIT App - Navigation Portal In this project, a programming system using the MIT App Inventor is used to control the solar panel cleaning robot's movement and cleaning system. The App Inventor receives and processes signals from sensors, and sends the processed signals to the microcontroller, ESP8266 Microcontroller, to regulate the functions of the cleaning system and the robot's movement

Graph results: Real time comparison (Time Vs Value observed)

FUTURE SCOPE Further optimization of robot design and cleaning methods: the robot system can be further refined to ensure optimal cleaning efficiency and reduced maintenance costs. This may include the development of more advanced cleaning tools and the optimization of the cleaning process. Integration with advanced data analytics: the robot system can be integrated with advanced data analytics to improve the accuracy and efficiency of the cleaning process. This may include the development of machine learning models and the use of deep learning algorithms to analyze and optimize the cleaning process.

CONCLUSION In conclusion, the proposed solar panel cleaning robot system in arid regions has the potential to bring significant benefits to solar energy installations, including improved efficiency, reduced labor costs, increased safety, and improved sustainability and reliability. The proposed experimental investigation has shown that the robot system is effective in removing dust and debris from a range of solar panel types, improving their efficiency and reducing the need for manual cleaning. By automating the cleaning process, the robot system can reduce the time and cost associated with solar panel cleaning, making it a viable solution for commercial and utility-scale solar installations. The proposed solar panel cleaning robot system in arid regions holds significant promise as a complementary solution to traditional manual cleaning methods and has the potential to make a significant impact on the sustainability and reliability of solar energy installations in arid regions.

REFERENCES [ 1 ] Ghafoor, M., Amin, A.A. and Khalid, M.S., 2024. Design of IoT-based solar array cleaning system with enhanced performance and efficiency.  Measurement and Control , p.00202940241233383. [2] Dorge , P., Kamatkar , H., Sakalkar , A., Dani, A., Bhagat, N., Damahe , L., Doifode , V., Titarmare , A. and Nagmote , S., 2024. Design and Implementation of Automatic Solar Panel Cleaning Robot.  International Journal of Computing and Digital Systems ,  16 (1), pp.1-9. [3] Bhandari, E.S.R., Chhetri, A., Rai, A., Rawal, M. and Deub , R., 2024. Performance Analysis of Semi-Automatic Solar Panel Cleaning System.  OCEM Journal of Management, Technology & Social Sciences ,  3 (1), pp.110-116. [4] Rehman, M.A., Hanif, M., Umar, M., Furqan, M.Q., Younas, M. and Mehmood, U., 2024. Development of Polydimethylsiloxane (PDMS)-Based Hydrophobic Coating for Self-clean Solar Panels.  Arabian Journal for Science and Engineering , pp.1-8. [5] Noh, F.H.M., Yaakub , M.F., Nordin , I.N.A.M., Sahari , N., Zambri , N.A., Yi, S.S. and Saibon , M.S.M., 2020. Development of solar panel cleaning robot using Arduino.  Indonesian Journal of Electrical Engineering and Computer Science ,  19 (3), pp.1245-1250.

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