To create an account on the MapperX platform, the first step is to visit https://app.mapperx.com/register and fill out the registration form. During the registration process, you will need to provide some basic information:

• First and Last Name: Enter your real first and last name.
• Corporate Email: You must use a corporate email address associated with your company. This ensures that transactions on the platform are conducted with professionalism and reliability.
• Password: Create a strong password. Your password is a crucial element in securing your account.

During registration, you will also need to accept the following terms:

• Privacy Policy: Understand and agree to the platform’s data protection and privacy policy.
• Terms of Use: Read and accept the platform’s terms of use. These terms are set to ensure the healthy and effective use of the platform.

Please note that registrations from users without a corporate email address may be evaluated and approved or rejected at MapperX’s discretion. This is a measure to maintain a professional environment for the business world.

Once these steps are completed, you can enjoy a personalized experience on the platform. You will gain access to tools designed to enhance efficiency and operational performance in the energy sector.

After completing your membership process on the MapperX platform, you need to provide the necessary information to create your company on the platform. This step is crucial for associating your platform activities with your company, enabling more efficient management. During the company creation process, you are expected to fill out the following information completely:

• Company Name: Enter the official name of your company.
• Address: Provide the full registered address of your company. This information will be used for location-based operations and communication.
• Phone: Add the main phone number used for communication with your company.
• Email: Enter your company’s general or official email address. This address will be used for official notifications through the platform.
• Tax Office: Specify the name of the tax office to which your company is affiliated.
• Tax Number: Enter your company’s tax number. This information is necessary for invoicing and official transactions.

Once you successfully enter this information into the platform and create your company profile, you can start managing all operations on MapperX on behalf of your company. Registering your company on the platform is important, especially for invoicing and legal obligations. This way, all transactions you conduct through the platform can be securely performed within the legal and financial framework of your company.

After successfully creating your company on the MapperX platform, you can add the solar energy plants (GES) managed by your company or where you provide maintenance services. This process is crucial for the efficient management and monitoring of your plants. When creating a plant, you need to fill out the following important information fields:

• Plant Name: Enter the official name of your plant.
• Commissioning Date: Specify the date your plant started operating.
• Installed Capacity: Add the installed capacity of the plant in megawatts (MW) or kilowatts (kW).
• Number of Panels: Enter the total number of panels installed in the plant.
• Panel Type: Select the type of panels installed in the plant (Standard, Half-Cut).
• Panel Tilt: Specify the angle of the panels relative to the ground in your plant.
• Mounting Type: Please specify the type of mounting for the panels in your plant (Fixed Mounting Systems, Solar Trackers, Adjustable Mounting Systems).
• Plant Installation Type: Indicate the installation type of your plant (Ground-Mounted GES, Roof-Mounted GES, Floating GES, Hybrid GES).
• Electricity Sale Price: Specify the sale price of the produced electricity in dollars per kilowatt (kW).
• Address: Enter the exact physical address of the plant.

Solar Panels and BOS Components

To describe the hardware features of your plant, you will need to add the solar panel and Balance of System (BOS) components (transformer, inverter, fuse box, etc.). These components directly affect the efficiency calculation and reporting process of your plant:

• Solar Panel Model: Enter the models of the solar panels used. You can add multiple models. This information will be used for future efficiency calculations and maintenance operations.
• BOS Components: Add the model and details of critical BOS components such as transformers, inverters, and fuse boxes. The details of these components have a significant impact on the overall performance of the plant.

After creating a new order on the MapperX platform, you will need to complete the payment process. Two main payment methods are available: Bank Transfer and Credit Card. Here are detailed information about each payment method:

Bank Transfer Payment

• Users who choose to pay by bank transfer should email the payment receipt to our accounting department at [email protected] after completing the payment process for a quick transaction confirmation. This will expedite your transactions and ensure that your records are updated.

Credit Card Payment

• Payments made by credit card are processed by İyzico, a reliable payment infrastructure provider. This system supports all credit and debit cards, providing a secure payment experience.

Currency Exchange Rate Calculation

• On the payment screen, the Dollar exchange rate is calculated based on the daily rates of the Central Bank of the Republic of Turkey. This ensures that you apply an up-to-date and fair exchange rate for your international transactions.

Invoice Processing

• After completing the payment, an invoice for your order is automatically generated. The generated invoice is uploaded to your order management page and a copy is also sent to your registered email address. This allows you to easily track and access the official records of your transactions when needed.

By following these steps, you can securely and effectively complete your payment transactions on the MapperX platform. Both payment methods offer flexibility according to user needs and preferences, facilitating your financial transactions on the platform.

On the MapperX platform, uploading photos and project plans that are critical for plant analysis is essential to ensure a detailed inspection and effective management of your plant. Below are the steps on how to carry out these processes:

Accessing the Photo Upload Portal

• Go to the Photo Upload Portal:
  • To start uploading photos, follow the path Home -> Plants -> "Your Plant Name" -> Inspections to access the photo upload portal created specifically for your order.

Photo Upload Process

1. Uploading Photos:
   • Upload all RGB and Thermal photos of your plant into the system within the same folder. This ensures that the photos are stored in an organized and systematic manner.
2. Things to Consider During the Upload Process:
   • Make sure that your computer remains on and that you have an uninterrupted internet connection during the upload process. The upload process may take a long time depending on the number and size of the photos.
   • Once the upload is complete, the system will automatically notify you via email.
3. Verifying Uploaded Photos:
   • After the upload process is complete, go to Home -> Plants -> "Your Plant Name" -> Inspections to check and verify the photos you have uploaded.

Uploading Project Plans and Technical Drawings

• You can easily upload your project plans, general layouts, and single-line diagrams in .dwg, .cad formats via Home -> Plants -> "Your Plant Name" -> Inspections. These files will be automatically processed into the system and will not require an approval process.

Uploading Photos for BOS Components

• Photos with Coordinates:
  • You can upload photos with coordinates related to BOS components via the Home -> Plants -> "Your Plant Name" -> Inspections section.
• Photos without Coordinates:
  • For photos without coordinates, MapperX Studio should be used. MapperX Studio is a special tool developed for uploading and processing such photos, offering more detailed analysis capabilities.

Important Notice

Please only upload photos of plants for which you are authorized. Unwanted, unauthorized, or misused photos and files may lead to legal issues. To avoid such situations, it is recommended that you carefully review the “Privacy Policy” and “Terms of Use” agreements that you have accepted during registration.

By following this process, you can systematically and efficiently upload and manage all related photos and documents of your plant on the MapperX platform.

SCADA software integration will soon be added to the MapperX platform to monitor Solar Power Plants more effectively. This integration will be carried out via API and is designed to provide users with real-time data access in plant management. Details and information about the completion date of the integration will be shared as developments occur. This innovation will be a significant step towards making your plant operations even more efficient.

On the MapperX platform, users can create teams for viewing, managing, and performing operational tasks for power plants, and assign specific roles to these teams. In this way, team members with different levels of authority can manage power plants more effectively and efficiently.

To access this feature, you can navigate to the “Team” tab in the main menu. From here, you can add team members, define their roles, and update these settings as needed.

Users can edit their profile information from the Profile tab in the main menu.

Profile Information

• First and Last Name: The user’s first and last name.
• Address: The user’s physical address information.
• Title: The user’s job title or position.
• Company: The user’s associated or employed company.
• About: A short description or bio about the user.

Contact Information

• Email: The user’s registered email address.
• Phone: The user’s contact phone number.

Updating this information helps users keep their accounts up-to-date and ensures they can interact with the platform using accurate contact details.

This section allows users to personalize the platform’s language settings.

Settings Path

To change the system language, you can follow these steps in the Main Menu:

1. Access Application Settings: From the Main Menu, select “Application Settings.”
2. Appearance Tab: In the dropdown menu, find and click on the “Appearance” tab.
3. Language Options: Go to the “Language Options” section.

Supported Languages

The platform currently supports Turkish and English. To change the language, select your preferred language from the list.
These settings allow users to personalize the platform based on their language preferences, offering a better user experience.

Setting Notification Preferences allows users to customize certain types of notifications according to their preferences.

Notification Types

1. Communication: Be the first to know about updates, announcements, and developments.
2. Security: Receive notifications related to the security of your account.
3. Panel Status: Get updates on the status of your panels.
4. Efficiency Report: Receive efficiency reports on your sites.
5. Review Activities: Receive notifications via email or SMS for statuses such as Review Started, Review Completed, and Review Report Created.

Notification Channels

Notifications are currently delivered via SMS and email. However, the mobile app notification feature will be activated very soon.

Accessing Notification Settings

To set your notification preferences, please follow these steps:

1. Select “Application Settings” from the Main Menu.
2. Go to the “Notifications” section.
3. Turn on or off the desired notification types, or update your preferences.
4. Save the changes.

By following these steps, you can customize which notifications you receive and through which channels they are delivered.

The account deletion process allows users to permanently close their accounts on the platform. Users wishing to proceed with this action should follow these steps:

1. Contact: If you wish to delete your account, please contact [email protected].
2. Submit a Request: Send an email to the contact address indicating your desire to delete your account. The email should include the following:
   • The full name of the account owner and username (if applicable).
   • The reason for account deletion (optional).
3. Verification and Completion: After sending the email, the customer service team will provide instructions on how to proceed with the account deletion. This process usually requires additional information to verify account ownership.
4. Completion Result: Once the account deletion process is complete, you will no longer have access to the platform, and all data related to your account will be permanently deleted.

The account deletion process is irreversible. Therefore, it is important to carefully consider this action before proceeding.

The password reset process allows users to reset their forgotten or compromised passwords for security reasons. To perform this action, you can follow these steps:

1. Access the Password Reset Page: Go to https://app.mapperx.com/forgot-password in your browser.
2. Enter Your Email Address: Enter the email address you want to use to reset your password.
3. Request a Confirmation Code: After entering your email address, click the “Reset Password” button to request a confirmation code to be sent to your email.
4. Enter the Confirmation Code: Check your email for the confirmation code. Return to the password reset page and enter the code into the provided field.
5. Set a New Password: After verifying the confirmation code, set a new password and confirm it by filling out the required field.

Once the password reset process is complete, you can log in to the platform using your newly created password.

The efficient operation and longevity of solar energy systems require regular monitoring and maintenance. In this process, detecting various anomalies that may occur in solar panels plays a critical role. Anomalies can reduce the efficiency of solar panels, leading to energy production losses. MapperX is an advanced software that uses artificial intelligence to detect these anomalies through thermal and RGB images.

	Cell Anomaly Cell anomalies are malfunctions occurring in individual cells of a solar panel. Thermal imaging can detect temperature differences in these cells. Abnormal temperature increases may indicate that the cells are operating inefficiently or are completely malfunctioning. These anomalies can negatively impact the efficiency of the cells and the overall panel performance.
	Multi-Cell Anomaly Multi-cell anomalies are collective malfunctions occurring in multiple cells. Thermal inspection can show these cells overheating together. This usually stems from connection issues between cells or manufacturing defects. Multi-cell anomalies can affect large parts of the panel, significantly reducing energy production.
	Diode Issues Diodes are components in solar panels that ensure unidirectional current flow. In thermal images, diode failures usually appear as overheating. Faulty diodes can prevent other parts of the panel from functioning efficiently, leading to energy production losses.
	Multi-Diode Issues Failures in multiple diodes can cause significant heating issues in the panels. Thermal inspections are used to detect these multi-diode failures. A large-scale diode failure can severely reduce panel performance and potentially disable the entire panel.
	Module Anomalies Module anomalies are problems observed in an entire solar panel module. Thermal imaging can reveal temperature differences between modules. These anomalies often result from manufacturing defects, installation issues, or environmental factors.
	Hot Spot Hot spots are areas of abnormally high temperatures in specific regions of a panel. Thermal inspections can detect these areas, which are often caused by micro-cracks in cells or connection issues. Hot spots can shorten the lifespan of a panel and increase the risk of fire.
	Plant Shading Plant shading refers to energy loss caused by shadows from plants falling on solar panels. These shadows can be detected using RGB images. Shading reduces efficiency by obstructing energy production in certain parts of the panels.
	Contamination Contamination is the accumulation of dust, dirt, or other foreign materials on the surface of solar panels, causing energy loss. RGB images can be used to identify such contamination. Dirty panels reduce energy efficiency by not absorbing light properly.
	Shading Shading refers to energy loss caused by any object casting a shadow over the solar panels. RGB images are used to detect these shadows. Shading reduces overall efficiency by obstructing energy production in specific areas of the panel.
	Junction Box Issues Junction boxes are components that house the electrical connections of panels. Thermal imaging can detect overheating in these boxes. Overheating may indicate loose or damaged connections, leading to energy losses.
	Crack/Break Cracks or breaks are physical damages that occur on the surface of solar panels. RGB images are ideal for detecting such damage. Cracks or breaks compromise the structural integrity of the panel, negatively affecting energy production.
	String Issues String issues occur in strings where a group of panels is connected in series. Thermal imaging can detect temperature differences within the string. These issues often arise from cable connection problems or panel malfunctions. String issues can reduce the efficiency of the entire group.

MapperX quickly and effectively detects these types of anomalies, optimizing the maintenance and repair processes of solar energy systems. This improves energy production efficiency and extends the system’s lifespan.

MapperX

MapperX detects anomalies in solar panel systems using artificial intelligence algorithms and prioritizes these anomalies based on temperature levels and technical structures. This prioritization allows for the effective management of maintenance and repair processes. Anomaly priorities are evaluated at three levels: low, medium, and high.

Low Priority Anomalies

• • Pollution: Dust and dirt accumulation on the panels’ surfaces is considered low priority. These types of anomalies typically have a slight impact on panel efficiency and can be resolved through routine cleaning.
  • Shading: Temporary shadows cast on the panels affect energy production for a limited time. Such shading is considered low priority and can generally be easily resolved through environmental adjustments.
  • Plant Shading: Shadows caused by the growth of plants are of low priority. This condition can be kept under control with regular maintenance and plant pruning.

Medium Priority Anomalies

• • Cell Anomalies: Temperature increases in individual cells are of medium priority. These anomalies can affect cell performance but typically do not severely impact the overall efficiency of the panel.
  • Diode Issues: Diode failures can reduce panel efficiency by affecting current flow. Therefore, they are evaluated as medium priority and require timely intervention.
  • Module Anomalies: Temperature differences observed at the module level are of medium priority. These anomalies may indicate manufacturing or assembly errors and should be managed with regular monitoring.
  • Junction Box Issues: Overheating in junction boxes can affect the efficiency of electrical connections. These medium-priority issues should be monitored closely and addressed as needed.

High Priority Anomalies

• • Multiple Cell Anomalies: The failure of multiple cells causes a temperature increase over a wide area of the panel and is of high priority. This situation significantly reduces panel performance and requires urgent intervention.
  • Multiple Diode Issues: The failure of multiple diodes blocks current flow over a large portion of the panel, leading to significant energy losses. Therefore, they are assessed as high priority.
  • Hot Spot: Hot spots occurring on the panels pose risks of structural damage and fire. These anomalies are high priority and require immediate intervention.
  • Crack: Cracks or breaks in the panels can cause serious structural damage and significantly reduce energy production efficiency. Therefore, they are considered high priority.
  • String Issues: Failures in series-connected panels affect the performance of the entire string. These issues are high priority and should be resolved quickly.

MapperX, this prioritization system optimizes maintenance and repair processes, ensuring that solar energy systems operate at maximum efficiency. Correctly prioritizing anomalies minimizes energy losses while extending system life.

Temperature Measurement and Information

An important distinction to consider in thermal imaging technology is the difference between radiometric and non-radiometric data. Radiometric cameras have advanced sensors that provide accurate temperature measurements for each pixel and are therefore generally more expensive. In contrast, non-radiometric cameras only offer a visual comparison of temperatures and therefore lack the capacity for precise temperature measurements or consistent temperature comparisons between images. MapperX works exclusively with radiometric data to ensure high accuracy and reliability.

Thermal images captured using the WhiteHot color palette obtained from DJI drones provide high-resolution mapping of surface temperatures of objects. These thermal data are processed by artificial intelligence algorithms to be used for anomaly detection. The algorithms analyze anomalies in the temperature distribution and excessive temperature increases, allowing for early detection of potential failures and performance drops in solar panels.

In studies on the importance of radiometric accuracy in thermal imaging, it has been shown that radiometric cameras measure with an average error margin of ±2°C, achieving an accuracy rate of over 95% in failure detection processes. This precision optimizes maintenance processes in power plants, increasing energy production efficiency while also ensuring cost-effectiveness.

In the MapperX Platform, data regarding the minimum, maximum, average, and deltaT (ΔT) temperature measurements for solar panels containing anomalies are provided as shown in the visual below. Anomaly priorities are determined based on temperature differences.

MapperX is software that detects faults in PV panels using artificial intelligence and offers the ability to filter the components in the power plant according to various criteria. These operations are performed on an RGB or thermal orthophoto map via a KML polygon network.

Map Type Selection

• Thermal Orthophoto: Shows temperature distributions.
• RGB Orthophoto: High-resolution visual map.

Show/Hide Components

• Inverters: Toggles the locations of inverters on the map.
• Transformers: Toggles the locations of transformers.

Error Types Filtering

• Cell failures, diode issues, module failures, hot spots, shading, pollution, junction box issues, cracks.

Error Causes Filtering

• Filtering of conditions causing anomalies.

Priority Filtering

• Filtering of anomalies by order of priority.

Temperature Bar Filtering

• Filtering according to specific temperature ranges.

Panel Performance Filtering

• Filtering according to the performance states of the panels.

The aim is to record current and voltage measurements of anomalous panels through field studies and to identify efficiency losses by comparing them with healthy panels on the same string.

1. Measurement of the Anomalous Panel
   • Field Study:
     • Go to the location of the panel with detected anomalies.
     • Measure the instantaneous current (A) and voltage (V) values of the panel.
   • Data Entry:
     • Log into the MapperX platform.
     • Select the relevant panel and enter the measurement values on the entry screen.
     • Note the date and time of measurement.
2. Measurement of the Healthy Panel
   • Field Study:
     • Select a healthy panel on the same string.
     • Measure the instantaneous current (A) and voltage (V) values of the panel.
   • Data Entry:
     • Log into the MapperX platform.
     • Select the healthy panel and enter the measurement values on the entry screen.
     • Note the date and time of measurement.
3. Comparison and Analysis
   • Data Screen:
     • Compare the measurement values of the anomalous panel and the healthy panel on the platform.
     • Display the measurement values of both panels in a table format.
   • Reporting:
     • Report the comparison results.
     • Present the reasons for efficiency loss and suggestions.

Detailed Measurement and Recording Process

• Measurement Instruments:
  • Use a direct current (DC) measurement instrument.
  • Use a voltage measurement instrument.
  • Regularly check the calibration of measurement instruments.
• Data Analysis:
  • The MapperX platform automatically analyzes measurement data.
  • Identify deviations in current and voltage values.
  • Calculate the efficiency loss percentage of the anomalous panel.

Conclusion

The MapperX platform ensures the accurate recording and comparison of electrical measurement values of anomalous and healthy panels. Thus, efficiency losses in the panels can be detected, allowing for necessary maintenance and repair processes to be planned.

MapperX platform allows the addition of serial numbers for panels to the system, which can be used in warranty, replacement, and digitalization processes.

Steps

1. Accessing the Power Plant
   • Log in to the MapperX platform.
   • Select the Power Plants tab from the main menu.
   • Find and click on the relevant power plant to enter it.
2. Switching to Power Plant View
   • On the power plant homepage, click on the Power Plant View option.
   • Once the plant view is opened, locate the panels with detected anomalies on the map.
3. Selecting Anomalous Panel
   • Select the panel with an anomaly.
   • The details of the selected panel will appear.
4. Adding Serial Number
   • In the panel details window, find the Serial Number section.
   • Click on the barcode icon in this section.
5. Adding Serial Number Using a Mobile Device
   • When you click on the barcode icon, your mobile device’s camera application will open.
   • Scan the serial number on the panel using your mobile device’s camera.
   • Advanced OCR technology automatically recognizes the serial number and adds it to the system.
6. Data Verification and Saving
   • Check the serial number on the screen and confirm its accuracy.
   • If the serial number is correct, press the Save button to complete the process.
   • If the serial number is incorrect, repeat the process to enter the correct number.

Use Cases

• Warranty Process:
  • Serial numbers are used to verify and manage warranty claims.
• Replacement Process:
  • When faulty or anomalous panels need to be replaced, serial numbers accelerate and ensure the accuracy of the replacement process.
• Digitalization Process:
  • The digital recording of serial numbers makes it easier to track the lifecycle and history of panels.

Conclusion

This documentation ensures the fast and accurate addition of serial numbers for anomalous panels in the MapperX platform, allowing effective management of warranty, replacement, and digitalization processes.

MapperX and Solar Panel Efficiency

MapperX continuously monitors the efficiency of your solar panels with its AI-supported anomaly detection system. This system identifies changes in panel performance through daily, monthly, and yearly reports, revealing potential efficiency losses. With these analyses, it optimizes your power plants, enhancing your energy efficiency and helping you achieve sustainable performance in the long term.

Anomalous panels can negatively impact the entire plant, leading to losses in overall energy production. MapperX detects these anomalies, determining the performance of the affected panels and the efficiency differences compared to healthy panels. This way, you can quickly identify the sources of anomalies and carry out the necessary maintenance and repairs.

Impact of Anomalous Panels on the Plant:

• Efficiency Loss: Anomalous panels can lead to decreases in energy production, negatively affecting the overall efficiency of your plant.
• Maintenance Costs: Early detection of anomalies reduces maintenance and repair costs. MapperX helps you optimize your maintenance planning by identifying potential issues in advance.
• Energy Production: By minimizing the efficiency losses caused by anomalous panels, you can maximize your overall energy production.
• Long-Term Performance: Continuous monitoring of anomalies and quick interventions enhance the long-term performance and sustainability of your plant.

By leveraging AI-supported analysis and reporting tools with MapperX, you can increase plant efficiency, achieve the highest productivity in energy production, and provide sustainable energy solutions.

MapperX and Financial Loss Calculation

MapperX offers the ability to calculate the financial impacts of anomalies that occur in solar energy plants in relation to plant efficiency. These calculations are made according to the types and numbers of anomalies and are determined daily, monthly, and yearly based on the sales fee per kWh.

Calculation Process:

1. Types and Number of Anomalies: Detected anomalies are classified according to their types and numbers.
2. Energy Production Losses: For each type and number of anomalies, the amount of lost energy production is calculated.
3. Financial Losses: Lost energy production is calculated along with the sales fee per kWh, and artificial intelligence algorithms determine the financial losses.
4. Time Frames: These losses are identified separately as daily, monthly, and yearly.

Graphical and Written Reporting:

MapperX presents these financial loss calculations both graphically and in writing. Users can easily access the following information through the system:

• Graphical Reports: Graphical representations of energy production losses and financial losses according to time frames.
• Written Reports: Detailed text reports summarizing the losses incurred for each type and number of anomalies.

Image Quality

• Sharpness and Motion Blur: It is essential that visual data is clear. Motion blur should be avoided, and minimal glare should be present.

Environmental Conditions

• Weather: The ideal weather for flights is a clear blue sky. During cloud transitions, the panel surfaces should be allowed to reheat for 10-15 minutes.
• Flight Duration and Block Time: Consecutive flights should not exceed 25 minutes unless they are a new flight block. This helps mitigate potential effects on thermal radiation and panel performance.
• Wind Speed and Humidity: Wind speed should be below five m/s. The humidity level should ideally be less than 60%. These conditions are important for ensuring safety and data quality during flight.
• Radiation: Radiation from the sun should be at least 600 Watts/sqm. This ensures that thermal data is obtained accurately and reliably.

Equipment Selection

Drone Selection

• Brand and Model Selection: Recommended and supported drones for MapperX include DJI drones. DJI drones should be preferred, especially those with the RTK module.
• RTK Module and GNSS Device: The RTK (Real-Time Kinematic) module provides precise positioning and tracking. The GNSS (Global Navigation Satellite System) device is used for satellite-based positioning. It is crucial for collecting high-precision and reliable data.

Details

• Data Processing and Storage: Once data is collected, it must be processed accurately. This is necessary for analyzing and reporting the data. Secure storage of the data is also important.
• Spare Parts and Safety Equipment: Spare parts and safety equipment should be on hand during the flight. This ensures precautions can be taken in case of emergencies.
• Flight Planning and Monitoring: Pre-flight planning and monitoring the drone during flight are essential. This ensures the success of the data collection process.

Primary Safety Rules

• Pre-Flight Check: The physical condition of the drone and equipment should be checked before each flight. Battery level, connections, sensors, and safety systems should be inspected.
• Flight Area Inspection: The safety and legal status of the area where the flight will take place should be verified. Relevant permissions and notifications must be obtained.
• Weather Conditions Check: Weather conditions during the flight must be suitable for safe flight. Factors such as wind speed, rain, and fog should be considered.

Flight Planning

• Flight Route: The flight route should be determined in advance. This ensures effective coverage of the data collection area.
• Flight Height and Speed: Flight height and speed should be adjusted according to the data collection purpose. Sufficient detail and coverage should be ensured.
• Flight Duration: The duration of each flight should be predetermined. This is important in terms of battery life and data collection efficiency.

Data Collection Techniques

Visual Data Collection

• Camera Settings: Camera settings should be carefully selected for proper exposure and sharpness. Manual settings should be preferred over automatic modes.
• Overlap Ratios: Overlap ratios are important for data analysis and modeling. Front and side overlap ratios should be at appropriate levels.

Thermal Data Collection

• Thermal Camera Settings: Thermal camera settings should be carefully selected for the correct temperature range and accuracy.
• Panel Level GSD: It is important that thermal data provides sufficient detail at the panel level. GSD (Ground Sampling Distance) is crucial in this regard.

Data Storage and Processing

• Data Storage: Collected data should be securely stored. Backup procedures should be conducted regularly.
• Data Protection: Images obtained from power plants should be protected without any digital processing. Otherwise, EXIF information containing flight details may be lost and may not be processed by the MapperX Platform.

This table compares the specifications of the DJI Mavic 3T, Matrice 30T, and Matrice 350 RTK when used with the Zenmuse H20T. The Matrice 350 RTK (with Zenmuse H20T) offers advanced features particularly for professional use requiring thermal imaging and detailed inspection. The Matrice 30T stands out with its robust structure and high weight capacity. The DJI Mavic 3T, being lighter and more portable, provides high-resolution images due to its wide camera sensor, but does not have direct access to specialized thermal camera equipment like the Zenmuse H20T.

Drone Features, Advantages, and Applications

DJI’s product range includes various models such as the Mavic 3T, Matrice 30T, and Matrice 350 RTK (with Zenmuse H20T). Each caters to a specific user base while highlighting unique feature sets.

The Mavic 3T stands out for its lightweight and foldable design, making it ideal for travel. With its 1/2-inch sensor cameras providing 48 MP resolution, it delivers outstanding image quality. This model is a very user-friendly option for general use.

On the other hand, the Matrice 30T draws attention with its durability and solid build. The IP55 water and dust resistance class makes it more resilient against challenging outdoor conditions. Its wide and high-resolution zoom camera offers impressive imaging capabilities for various tasks. Although this model is a bit heavier, it performs well with a flight time of 41 minutes.

The Matrice 350 RTK, when used with the Zenmuse H20T gimbal camera, excels in flight time, camera features, and durability. With a flight time of up to 55 minutes and IP45 resistance, it is sufficient for even the toughest tasks. The wide sensor offering advanced imaging solutions, high-resolution zoom, and thermal imaging features make this model indispensable for various professional applications.

Each model presents different advantages depending on the intended use and needs, and it’s clear that DJI emphasizes technological innovation and user experience. From portability to durability and advanced imaging capabilities, DJI’s drone range is designed to meet the needs of a wide user base.

The Matrice 350 RTK (with Zenmuse H20T) is generally considered the best due to its advanced feature set and performance. The Matrice 30T balances durability and performance as a mid-range option, while the DJI Mavic 3T is ideal for specific use cases due to its lighter and more portable design.

Digital Surface Model (DSM) is a detailed map containing height information of the earth’s surface and objects above it (buildings, trees, vehicles, etc.). With technological advancements, methods for creating DSMs have evolved, allowing for in-depth analyses and improved decision-making processes across various fields.

DSM Creation Process

DSM is generated by processing high-resolution data obtained through various technologies. The process begins with modern data collection methods such as aerial photography, satellite imaging, and remote sensing. Each technique is selected based on the project’s requirements, offering different advantages.

The raw data obtained is then processed through photogrammetry software to create the DSM. This processing phase transforms the data into a model that accurately represents the height information of the surface and objects on it.

Applications of DSM

DSM has applications in many sectors, playing a critical role in planning and analysis processes.

Urban and Regional Planning: The DSM, used to evaluate essential factors like building heights, shading analyses, and sight lines, enables more effective planning of cities and regions.

Disaster Management: DSM is an essential tool for assessing the potential impacts of natural disasters. Risk areas for disasters such as floods and landslides are identified and preparation activities are supported by DSM data.

Agriculture: The analysis of land topography and slope is utilized in applications like water management and erosion control. This has the potential to enhance agricultural productivity.

Construction and Engineering: DSM serves as a fundamental tool in construction projects and infrastructure work. Detailed analysis of land features improves project planning and the accuracy of engineering calculations.

Conclusion

Technological advancements have made the DSM creation processes more accessible and effective. With applications in various sectors, DSM plays a significant role in enabling in-depth analyses and informed decision-making, shaping and optimizing planning and management processes. The success of this process relies on the quality of the data collection and processing techniques used. Today, DSM has become an indispensable tool in many areas from urban planning to disaster management, agriculture to construction and engineering.

GNSS (Global Navigation Satellite System) is a network of systems that provides positioning, navigation, and timing (PNT) services using satellite constellations in Earth’s orbit. GNSS includes various national and regional satellite navigation systems, such as GPS (Global Positioning System). GPS, developed by the United States, is the most widely used GNSS system. However, other systems like GLONASS (Russia), Galileo (European Union), and BeiDou (China) also fall under the GNSS umbrella.

In Which Areas is GNSS Used and Why?

High-Precision Positioning: GNSS is used to determine the locations of objects anywhere in the world with high precision. This provides significant advantages in various sectors and applications.
Navigation and Trip Planning: From vehicle navigation systems to smartphone applications, GNSS technology is a fundamental tool for trip planning and routing.

Land Surveying and Mapping: GNSS is used in land surveying, cartography, and geographic information systems (GIS) projects. This facilitates the collection and analysis of high-precision geographic data.

GNSS has become an indispensable technology today due to its features such as global coverage, continuous availability, and high accuracy. The wide capabilities offered by these systems provide convenience and efficiency in many areas of modern life.

The use of GNSS technology is fundamentally important for our PV panel inspections conducted through unmanned aerial vehicles (UAVs). This technology allows us to determine accurate flight paths and map our inspection areas precisely. As a result, the process of detecting anomalies on panel surfaces becomes more efficient.

GNSS enhances the efficiency of field operations and the reliability of collected data. This accelerates the analysis process of images taken by UAVs and provides clear information about the condition of PV panel systems.

This technology helps us to accurately geolocate images taken by UAVs, thus improving the quality of service we provide to our customers.

Ground Sampling Distance (GSD) is a term used in photography and remote sensing technology, referring to the size of the real area each pixel of a photo or image covers on the Earth’s surface. In simple terms, GSD indicates how much area a pixel in an image represents on the ground. The measurement unit is usually meters or centimeters. The lower the GSD value, the more detailed the image.

The Importance of GSD

GSD is an indicator of image resolution and determines how detailed an area can be displayed. In high-resolution images, the GSD value is low, which means more details can be seen. Therefore, accurate calculation and optimization of GSD is essential in many applications, such as land mapping, urban planning, agriculture, construction monitoring, and environmental observation.

Calculation of GSD Values and Practical Examples

Calculating the GSD value is a process that considers the resolution of images taken by drones or satellites and the characteristics of the camera used. The formula for GSD calculation is as follows:

In this formula:

Flight Height: The altitude of the drone above the ground, expressed in meters.

Sensor Width: The physical width of the camera sensor, expressed in millimeters.

Image Width: The width dimension of the total number of pixels in the image, expressed in pixels.

Focal Length: The focal length of the camera lens, expressed in millimeters.

Understanding the effects of GSD (Ground Sample Distance) and flight height on a detailed examination of a solar plant is essential for efficient and cost-effective inspections. Thermal imaging conducted using drones plays an important role in assessing the condition of solar panel systems. In this process, determining the correct GSD value directly affects the level of detail in the obtained images and makes the selection of the appropriate flight height for the inspection’s purpose critical.

The tables below compare the recommended flight heights for different GSD values and their intended uses in solar panel inspections:

• General Solar Panel Scanning (7.0 ± 0.5 cm/pixel): Initial level inspection suitable for quickly scanning large areas. High-altitude flights provide a wide field of view, but produce less detailed images.
• Solar Cell Anomalies Inspection (5.0 ± 0.5 cm/pixel): Ideal for detecting potential issues at the cell level with medium detail. This GSD allows for even the smallest anomalies in solar cells to be noticed.
• Detailed and Comprehensive Solar Inspection (3.0 ± 0.5 cm/pixel): This level is necessary for detailed thermal inspections and temperature measurements in accordance with IEC standards. This GSD ensures that even the smallest anomalies in solar panels and cells are identified in compliance with internationally accepted standards.

This assessment shows that selecting the correct GSD and flight height has a significant impact on the accuracy and efficiency of solar panel inspections. Choosing the appropriate GSD value and flight height according to the defined objectives optimizes costs and enhances the quality of the inspection. This makes the inspection process more efficient, allowing solar plants to operate at maximum performance.

The DJI Mavic 3 Enterprise Thermal (M3T) is a compact and portable drone model equipped with thermal and RGB imaging capabilities. Designed primarily for industrial applications and inspections, the M3T stands out with high-resolution imaging, precise data collection, and fast operational capacity.

Technical Specifications

• Thermal Camera: 640×512 resolution, 30Hz refresh rate, ±2°C temperature accuracy
• RGB Camera: 20MP resolution, 4/3 CMOS sensor, 56x maximum zoom (28x hybrid zoom)
• Laser Range Finder: Range up to 1200 meters
• Flight Time: Maximum 45 minutes
• Wind Resistance: Resistant to wind speeds up to 12 m/s
• Precise Positioning: GNSS (GPS, GLONASS, Galileo) supported precise positioning
• Operating Temperature: Wide operating temperature range from -20°C to 50°C
• IP Rating: IP45 water and dust resistance rating

Areas of Use

The DJI Mavic 3 Enterprise Thermal (M3T) can be used in a wide range of industrial and commercial applications. It excels in high-resolution thermal and RGB imaging capabilities for thermal inspections in solar power plants, infrastructure assessments, search and rescue operations, firefighting, and agriculture.

• Solar Power Plants: Quickly and accurately identifying faulty panels by detecting temperature distributions
• Infrastructure Inspections: Thermographic examinations of bridges, buildings, and other structural elements
• Search and Rescue: Detecting and locating missing persons through thermal imaging
• Firefighting: Monitoring the spread of fires and identifying hotspots
• Agriculture: Monitoring plant health and enhancing agricultural productivity through thermal and RGB imaging

The DJI Mavic 3 Enterprise Thermal (M3T) provides fast and efficient data collection in field operations with its portability, long flight time, and superior imaging capabilities. With these features, it delivers reliable and precise measurements even in challenging environmental conditions, offering significant operational advantages to its users.

DJI Matrice 30T (M30T) – English

The DJI Matrice 30T (M30T) is an advanced drone model designed for industrial and commercial applications. This drone is equipped with a high-resolution RGB camera and a thermal camera with a resolution of 640×512 pixels. The M30T provides the ability to inspect large areas and distant locations in detail, with 16x digital zoom and 8x optical zoom features.

• Thermal Camera: 640×512 resolution, 30Hz refresh rate, ±2°C temperature accuracy
• RGB Camera: 48MP resolution, 1/2″ CMOS sensor, 16x digital zoom and 8x optical zoom
• Flight Time: Maximum 41 minutes
• Wind Resistance: Capable of withstanding wind speeds up to 15 m/s
• Precision Positioning: Centimeter-level accuracy with RTK (Real-Time Kinematic) module
• IP Rating: IP45 water and dust resistance rating
• Operating Temperature: Wide operating temperature range between -20°C and 50°C

The DJI Matrice 30T provides reliable performance even in challenging environmental conditions, thanks to its advanced sensor technology and durable design. It stands out in thermal and visual inspections of large areas, such as solar power plants, with high accuracy and detailed data collection capabilities. With these features, the M30T is widely used in various industrial applications, including thermographic inspection, mapping, search, and rescue operations.

DJI Matrice 30T (M30T) – English

The DJI Matrice 30T (M30T) is an advanced drone model designed for industrial and commercial applications. This drone is equipped with a high-resolution RGB camera and a thermal camera with a resolution of 640×512 pixels. The M30T provides the ability to inspect large areas and distant locations in detail, with 16x digital zoom and 8x optical zoom features.

• Thermal Camera: 640×512 resolution, 30Hz refresh rate, ±2°C temperature accuracy
• RGB Camera: 48MP resolution, 1/2″ CMOS sensor, 16x digital zoom and 8x optical zoom
• Flight Time: Maximum 41 minutes
• Wind Resistance: Capable of withstanding wind speeds up to 15 m/s
• Precision Positioning: Centimeter-level accuracy with RTK (Real-Time Kinematic) module
• IP Rating: IP45 water and dust resistance rating
• Operating Temperature: Wide operating temperature range between -20°C and 50°C

The DJI Matrice 30T provides reliable performance even in challenging environmental conditions, thanks to its advanced sensor technology and durable design. It stands out in thermal and visual inspections of large areas, such as solar power plants, with high accuracy and detailed data collection capabilities. With these features, the M30T is widely used in various industrial applications, including thermographic inspection, mapping, search, and rescue operations.

The DJI Matrice 300 RTK (M300 RTK) is one of the most powerful and versatile drone platforms developed for industrial and commercial applications. When combined with the integrated H20T and H20N cameras, the M300 RTK offers superior imaging and data collection capabilities.

DJI Matrice 300 RTK Features

• Flight Time: Maximum 55 minutes
• Wind Resistance: Resistant to wind speeds up to 15 m/s
• Range: Control range of up to 15 km
• Precise Positioning: Centimeter-level accuracy with the RTK (Real-Time Kinematic) module
• IP Rating: IP45 water and dust resistance rating
• Operating Temperature: Wide operating temperature range between -20°C and 50°C
• Multiple Payload Capacity: Capacity to carry three different payloads simultaneously

DJI Zenmuse H20T Camera Features

• Thermal Camera: 640×512 resolution, 30Hz refresh rate, ±2°C temperature accuracy
• RGB Camera: 20MP resolution, 23× hybrid zoom (200× maximum zoom)
• Laser Range Finder: Range of up to 1200 meters
• IP Rating: IP44 water and dust resistance rating
• Multispectral Camera: Multispectral data with high accuracy

DJI Zenmuse H20N Camera Features

• Night Vision Camera: High precision low-light performance
• Thermal Camera: Dual thermal camera (2x 640×512 resolution) for high accuracy temperature measurements
• Laser Range Finder: Range of up to 1200 meters
• RGB Camera: 20MP resolution, 23× hybrid zoom (200× maximum zoom)
• IP Rating: IP44 water and dust resistance rating

Applications

The combination of the M300 RTK with the H20T/H20N cameras is an excellent solution for thermographic inspections, search and rescue operations, infrastructure inspections, and mapping studies in large-scale industrial facilities like solar power plants. The high-resolution thermal and RGB imaging capabilities, precise positioning with the integrated RTK module, and long flight time make this drone and camera combination ideal for fast and reliable data collection.

The combination of the DJI Matrice 350 RTK (M350 RTK) and the Zenmuse H30T camera provides a high-performance solution with advanced imaging and data collection capabilities. This system is particularly ideal for industrial inspections and demanding operational tasks.

DJI Matrice 350 RTK Features

• Flight Time: Maximum 55 minutes
• Wind Resistance: Resistant to wind speeds up to 15 m/s
• Range: Control range of up to 15 km
• Precise Positioning: Centimeter-level accuracy with RTK (Real-Time Kinematic) module
• IP Rating: IP45 water and dust resistance rating
• Operating Temperature: Wide operating temperature range from -20°C to 50°C
• Multi-Payload Capacity: Capable of carrying three different payloads simultaneously

DJI Zenmuse H30T Camera Features

• Product Name: Zenmuse H30 Series
• Dimensions: 170×145×165 mm (L×W×H)
• Weight: 920±5 g
• Power: H30: 26 W, H30T: 28 W
• Ingress Protection Rating: IP54
• Supported Aircraft: Matrice 300 RTK, Matrice 350 RTK
• Operating Temperature: -20°C to 50°C
• Storage Temperature: -20°C to 60°C
• Stabilization System: 3-axis (Pitch, Yaw, Roll)
• Angular Vibration Range: Pitch: ±0.002°, Flight: ±0.004°
• Mounting: Detachable DJI SKYPORT
• Mechanical Range: Pitch: -132.5° to +73°, Yaw: ±60°, Roll: ±328°
• Controllable Range: Pitch: -120° to +60°, Roll: ±320°
• Operation Mode: Follow/Free/Center

Infrared Thermal Camera (H30T)

• Thermal Imager: Uncooled VOx Microbolometer
• Lens: Focal Length: 24 mm, Equivalent Focal Length: 52 mm, Aperture: f/0.95, DFOV: 45.2°, Digital Zoom Equivalent: 32×
• Video Resolution: 1280×1024@30fps
• Video Format: MP4
• Video Subtitles: Supported
• Video Codec Component and Bit Rate Strategy: H.264, H.265; CBR, VBR
• Photo Resolution: 1280×1024
• Photo Format: R-JPEG
• Pixel Pitch: 12 microns
• Spectral Band: 8-14 microns
• Noise Equivalent Temperature Difference (NETD): ≤ 50 mk@f/1.0
• Temperature Measurement Method: Point Measurement, Area Measurement, Center Point Temperature Measurement
• Temperature Measurement Range:
  • High Gain: -20° to 150° C (-4° to 302° F), -20° to 450° C (-4° to 842° F) (With Infrared Density Filter)
  • Low Gain: 0° to 600° C (32° to 1112° F), 0° to 1600° C (32° to 2912° F) (With Infrared Density Filter)
• Temperature Warning: Supported
• Sunburn Protection: Supported
• FFC: Automatic, Manual
• Palette: White Hot, Black Hot, Color Tone, Iron Red, Rainbow 1, Rainbow 2, Medical, Arctic, Fulgurite, Hot Iron

Coordinate systems are a fundamental tool for determining the position of any point on the ground or in space. These systems are critical for processes such as analyzing PV panels through drone imagery and creating maps.

Types and Uses of Coordinate Systems

• Cartesian Coordinate System: This system, frequently used in mathematics and engineering, defines every point on a grid with two or three numbers (coordinates). In two-dimensional space (2D), these coordinates are expressed as (x, y) and indicate the horizontal (x-axis) and vertical (y-axis) position of a point. In three-dimensional space (3D), the z-axis is added to define depth, so each point is expressed with coordinates (x, y, z).
• Spherical Coordinate System: Taking into account the Earth’s round shape, this system defines global positions using latitude and longitude values. Latitude indicates the angular distance of a point north or south of the Equator, while longitude indicates the angular distance of a point east or west of the Greenwich Meridian. This system is the standard for global positioning and navigation.
• Projection Coordinate System: When it is necessary to project the Earth’s round surface onto a flat piece of paper, projection coordinate systems come into play. These systems are used to draw the Earth’s actual surface onto a map. However, some distortion is inevitable when transferring a round surface onto a flat one. Different projection techniques have been developed to minimize these distortions. For example, the Mercator projection is preferred in maritime navigation, while equal area projections are used in studies where area sizes need to be preserved.

**The Importance of Coordinate Systems**

• Engineering and Construction Projects: The accurate positioning of PV panel installation sites is achieved through coordinate systems. These systems enhance the precision of measurements and location determination, ensuring successful project completion.
• Safe Drone Flights: During drone flights, coordinate systems are used to determine routes and accurately identify the locations of PV panels. GPS operates based on a global coordinate system, ensuring the correct positioning of PV panels.

• Reference Ellipsoid: WGS84 assumes that the shape of the Earth is an ellipsoid (flattened sphere). This ellipsoid indicates that the Earth is slightly flattened at the poles and wider at the equator.
• Coordinates: WGS84 provides latitude, longitude, and altitude coordinates for any point on Earth. These coordinates are measured with respect to the Greenwich Meridian and the equator.
• Global Compatibility: As a global system, WGS84 provides consistency worldwide and allows easy comparison of coordinates between different countries and projects.

Today, maximizing the efficiency and performance of solar power plants is vital for the future of sustainable energy. In this context, the “Digital Twin” technology is taking the digital transformation of solar power plants to a new level. Our AI-powered analysis, management, and reporting platform now creates virtual copies of your solar power plants, providing in-depth analyses enriched with real-time and historical data.

Why Digital Twin?

Digital twins are virtual models of your physical solar power plants. These models simulate the performance, health, and interactions of each component of your plant, allowing you to detect potential anomalies in advance and optimize your maintenance and operational strategies. With real-time data monitoring and analysis capabilities, you can enhance operational efficiency while reducing costs and energy losses.

Main Advantages

• Risk Reduction: Detecting potential issues in advance helps to prevent major failures and outages.
• Optimized Maintenance: Anticipating your maintenance needs allows you to manage scheduled maintenance more effectively.
• Detailed Reporting: Providing comprehensive reports on your operational performance strengthens your strategic decision-making processes.

How Does It Work?
Our platform uses your existing operational data and sensor readings to create a digital twin of your solar power plant. This digital twin is continuously updated and improved with AI and machine learning algorithms, providing in-depth insights into the status of each component of your plant. Thus, your decision-making processes become more informed and data-driven.

To explore the unique opportunities that digital twin technology offers for your solar power plants and to elevate your operations to the next level, contact us immediately.

MapperX software has the ability to detect various anomalies in the panels of solar power plants. These anomalies include conditions that negatively affect the performance and efficiency of the panels. Here are the main types of anomalies that MapperX can detect:

• Cell Failures: Refers to structural damages that may occur during the production or operational process of photovoltaic cells in the panels. These failures can reduce the energy production capacity of the panel.
• Diode Issues: Problems arising from the failure of bypass diodes in the panels. This can lead to energy production losses in specific sections of the panel.
• Module Failures: The condition where one or more modules (panels) lose their functionality. Module failures can negatively impact the overall system performance.
• Hot Spots: Excessive heating occurring in certain areas of the panels. Hot spots can damage the cells and lead to efficiency loss.
• Shading Issues: A situation where energy production decreases due to temporary or permanent shadows on the panels.
• Pollution: Decrease in energy production due to the panel surfaces being covered with dirt, dust, or other particles.
• Junction Box Issues: Electrical or mechanical problems that may occur in the junction boxes of the panels.
• Cracks: Micro or macro-level cracks that develop in the panels can negatively affect the energy production capacity of the panel.

Data Type Definitions:
MapperX software performs analyses and produces results using various data types. Here are the main data types:

• Thermal Images: Thermographic images showing the surface temperatures of the panels. These images are used for detecting hot spots and other thermal anomalies.
• RGB Images: Normal photographic images of the panels. RGB images are used for detecting physical damages and surface pollution.
• Flight Data: Flight information collected by drones, including the locations and shooting angles of the panels.
• Electrical Measurements: The current and voltage values at the input and output of the panels. These measurements are used to evaluate the electrical performance of the panels.
• Weather Data: Real-time weather information plays an important role in analyzing solar energy production. Parameters such as temperature, humidity, and wind speed are evaluated.
• Geographical Information (KML): Geographical data files showing the locations and boundaries of the panels. These data ensure that analyses are conducted accurately.

MapperX uses these data types to provide detailed and reliable information about the condition of the panels in solar power plants. Thus, potential issues can be detected early, preventing efficiency losses, and maintenance activities can be planned more effectively.

MapperX platform offers advanced reports that comprehensively analyze the financial and environmental impacts of anomalies in solar plants. These reports provide critical information to plant managers and operational teams, supporting strategic decision-making processes.

Financial Impact Reports:
Financial impact reports detail the effects of detected anomalies on efficiency and the financial losses incurred due to these anomalies. The reports calculate losses based on the types of anomalies and provide daily, monthly, and annual cost projections based on the sales rate per kW/hour. This information helps plant managers prioritize maintenance and repair tasks and achieve cost savings.

Environmental Impact Reports:
Environmental impact reports analyze the environmental effects of plant operations and guide the achievement of sustainability goals. These reports evaluate plant activities in terms of carbon footprint, energy efficiency, and environmental compliance. Additionally, they provide recommendations for reducing environmental impacts, assisting plant management in fulfilling their environmental responsibilities.

These reports are indispensable tools for optimizing plant performance and fulfilling both financial and environmental responsibilities.

The MapperX platform offers comprehensive expertise reports for field inspections and assessments in solar power plants. These reports are designed to enhance the effectiveness of field operations and to quickly identify and resolve potential issues.

Field Expertise Reports:
Field expertise reports include detailed analysis of data obtained using drones and other measurement devices. These reports evaluate the performance status in different areas of the plant, temperature variations, panel efficiency, and other critical parameters. Additionally, they provide detailed information about identified anomalies and their potential impacts.

Report Contents:

• Anomaly Detection and Analysis: Analysis of types of anomalies detected during field inspections, such as cell defects, diode problems, module failures, hot spots, shading, pollution, junction box issues, and cracks.
• Performance Evaluation: Assessment of each panel and the overall plant performance, determining the causes of declines in energy production.
• Temperature Maps: Temperature maps obtained with thermal cameras, identifying hot spots and potential risk areas.
• Recommendations and Solutions: Suggestions for resolving identified issues, maintenance, and repair plans.

Field expertise reports provide plant managers and technical teams with the opportunity to manage field operations more efficiently and proactively solve problems. This ensures the optimization of plant performance and increases operational efficiency.

MapperX platform offers comprehensive reporting capabilities for damage assessment and evaluation following natural disasters at solar power plants. These reports are critical for rapid recovery after a disaster and for restoring plant performance.

Post-Natural Disaster Reporting:
Post-natural disaster reports focus on detecting and analyzing the damage caused by earthquakes, storms, floods, and other natural disasters at the plant. Data obtained using drones and other advanced technologies provide a detailed assessment of the disaster’s impact on the plant.

Report Contents:

• Damage Detection and Analysis: Identification and assessment of physical damages to panels, structures, and infrastructure following a natural disaster.
• Performance Loss: Analysis of the declines in energy production after the disaster and calculation of the financial impacts of these losses.
• Safety Assessment: Evaluation of whether the damaged areas pose security risks and recommendations for necessary safety measures.
• Repair and Reconstruction Proposals: Recommendations for repairing identified damages and reconstruction plans. These proposals are prepared to help the plant operate at full capacity as soon as possible.
• Insurance and Compensation Information: Detailed information and documents required for preparing insurance claims after a natural disaster.

Post-natural disaster reporting provides plant managers with all the information necessary for a quick and effective recovery process. This way, the goal is to restore plant performance as soon as possible and minimize operational disruptions.

MapperX platform offers comprehensive reporting services for the commissioning and damage assessment processes of solar power plants. These reports contain critical information to ensure the safe and efficient operation of the plant, facilitating early identification of potential issues and enabling proactive measures.

Commissioning Reports: Commissioning reports include the results of all checks and tests performed during the process of bringing newly installed or maintained solar power plants into operational status. These reports are prepared to confirm that each component of the plant is functioning correctly and to identify potential problems at an early stage.

Damage assessment reports provide a comprehensive evaluation and documentation of any damage occurring in the plant. These reports include an analysis of damage resulting from natural disasters, accidents, or other events and guide the repair process.

Report Contents:

• Physical Damage Assessment: Identification of physical damages occurring in panels, inverters, structural components, and other elements.
• Performance Analysis: Evaluation of the impact of damage on energy production and calculation of performance losses.
• Repair and Maintenance Recommendations: Necessary steps for repairing identified damages and maintenance plans.
• Insurance and Compensation Information: Required documents and details for insurance claims regarding the damage.

Commissioning and damage assessment reports provide plant managers with in-depth information about the operational status of the plant, supporting effective management and intervention processes both at the initial stage and during damage situations.