AI and Virtual Reality-Powered Wind Turbine Damage Detection, Analysis, and Reporting System

Abstract

The invention is a system developed for damage inspection and reporting on wind turbine blades in regularly scheduled wind power plants. It utilizes a high-speed industrial camera to capture images of the wind turbine blade from different angles, combines these images, and generates a 3D image from the acquired data. The system then uses artificial intelligence to detect and mark damages in these images, presenting the type and extent of the damage in a report to the customer. Thanks to the precise 3D image data generated, the system optimizes the repair time required for damage repair and optimizes the repair materials used during the repair process using the developed algorithm.It is related to the AI ​​and virtual reality supported wind turbine damage detection, analysis and reporting system, which enables the use of 3D images in the repair process with virtual reality glasses (10) given to the repair teams, the detection of anomalies on the turbine blades with vibration sensors (9) attached to the turbine bodies, the interpretation of the detected anomalies by associating them with the images taken and the developed algorithm, the creation of a structural map of the turbine thanks to the data interpreted with the data flow coming from the turbine regularly and the reporting to the turbine owners in real time.

Description

1 TARIFF AI and Virtual Reality-Supported Wind Turbine Damage Detection, Analysis, and Reporting System TECHNICAL FIELD The invention relates to wind turbines found in regularly constructed wind power plants. an artificial intelligence and virtual system developed for damage inspection and reporting on wings It relates to a reality-based wind turbine damage detection, analysis, and reporting system. 10 The invention specifically captures a wind turbine from different angles using a high-speed industrial camera. By taking images of the wing, combining the images, and from the acquired images / data... It enables the acquisition of a 3D image, and the damage on the acquired images, Detecting, marking, damage type and 15 by the artificial intelligence on it The precise 3 that was created enables the size of these values ​​to be presented to the customer in a report. Thanks to three-dimensional image data, the repair time required for damage repair can be optimized, The repair materials to be used during the repair process will be determined by the developed algorithm. optimization, 3D image, virtual reality glasses given to repair teams vibration dampers attached to turbine bodies, enabling their use during the repair process. using sensors to detect anomalies on turbine blades, and with the images obtained... the process of interpreting the detected anomalies by associating them with the developed algorithm, systematically The data is interpreted through the data stream coming from the turbine, thus providing an understanding of the turbine. This enables the creation of a structural map and provides real-time reporting to turbine owners. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting system 25 It is related to. PREVIOUS TECHNIQUE Current technologies used in the maintenance and inspection of wind turbines today are among the national 30 and on an international scale, both traditional methods and modern technology-based systems. These are divided into two main categories. Rope access is one of the traditional methods. The method involves manually inspecting the turbine blades. Rope access specialists They are using ropes to take surface photographs of the wind turbine to assess the damage. However, this method is time-consuming. A team can only operate a few turbines per day. 35 It is able to monitor. However, due to the high level of equipment and operational process... Manual inspection is costly and requires working at height, therefore the job 2 It carries security risks. These manual checks are one of the reliable methods. However, differences in knowledge and experience among experts affect the consistency of audits and This can negatively affect its accuracy. The most important aspect of manual checks is... The advantage is that damage assessments are carried out by contact with the images obtained from photographs taken by aircraft. It provides clearer information than the 2D images obtained. 5 Among modern technology-based systems, drone-based inspection methods are used for turbines. It enables rapid photography and damage detection by scanning the wings. However, existing drones... These systems require the turbines to be shut down, which leads to energy loss. It opens. Audit processes are directed manually and autonomously, and analysis processes are 10 This requires additional software and manual intervention. Artificial intelligence-powered systems, however... It can detect damage by analyzing images. However, real-time monitoring and Analytical capabilities are limited. Modern drone-based inspection systems improve inspection processes. Although it speeds things up, it has a disadvantage compared to the previous traditional inspection method, rope access. It has. During wing inspections, rope access specialists must physically touch the wing and 15 Thanks to these findings, a more effective inspection is carried out, while the images captured during drone inspections... The images are 2D, and evaluations made using these images are based solely on visual information. It is subject to interpretation. Current practices present a number of problems that make it difficult to achieve environmental and economic goals. This reveals that due to the limited number of windless periods, inspection and maintenance work is carried out. These activities can only be carried out at specific time intervals, which puts pressure on technical teams. This creates quality problems and increased workload. However, the current In these systems, in order to inspect the turbines, the turbines must be completely shut down. This situation leads to disruptions in energy production, causing operators to suffer economic losses. 25 This is the reason. Also, the wind that appears during inspections carried out in windless periods, stopping and interrupting the inspections that were carried out and the maintenance and inspection of the turbines This leads them to start production without prior planning. Ensuring continuity in energy supply. In areas where the situation is becoming increasingly difficult, these outages pose strategic problems. Therefore, operators... To avoid shutting down the turbines, inspections are only carried out during planned inspection periods, generally once a year for 30 days. They conduct inspections twice a year in critical areas. Inspection and maintenance activities are carried out annually. The lack of continuity throughout can lead to small cracks progressing over time, and even large ones. Even in the event of cracks, the operator continues production by taking risks and making estimated assessments. and leads to high repair costs. This situation causes very serious wing breakages. This reduces the total lifespan of turbines, resulting in long-term costs for the industry of 35. This increases the need for technical knowledge and skills in turbine inspections in existing systems. This is carried out based on field personnel, which in turn depends on operational oversight. 3 This is increasing and decreasing operational efficiency due to a shortage of expert personnel. The fact that operators sometimes have to postpone critical maintenance activities in the long term This leads to more serious malfunctions. To the control position of the turbines... Bringing them in requires coordination with the technical teams on the ground, and this process takes time and This leads to staff losses and additional staffing costs. The intense 5 during windless periods... Time loss is further increased due to the pace of work. The global impact of these problems, energy supply security has a significant impact on economic costs and environmental goals. These hidden inefficiencies in energy production are being felt. It perpetuates dependence and undermines carbon emission reduction targets. Rising operational costs have hindered the adoption of renewable energy sources. this makes it more difficult and hinders the achievement of the goals set out in the European Green Deal. This is slowing things down. Solving these structural problems in wind energy will be both economically and otherwise beneficial. It is also of environmental importance. As a result of research conducted in the literature, application number “2023 / 003737” and “RÜZGAR 15 A DEVICE FOR THE MAINTENANCE OF TURBINE BLADES AND TOWERS, AND THE DEVICE'S Components. "A SYSTEM FOR RAISING AND LOWERING" is an invention from Türkiye. A patent application has been found. The application concerns the design and manufacture of wind turbine blades. including cleaning, inspecting, de-icing and painting the tower It relates to maintenance equipment for wind turbine blades and towers used for service purposes. However, 20 The application in question uses a high-speed industrial camera to capture wind from different angles. By taking images of the turbine blade, the images are combined and the resulting images are... The acquired images enable the creation of a 3D image from the images / data. damage on the surface is detected and marked by artificial intelligence, and the type of damage is determined. The precise 3 25 created enables the size of these values ​​to be presented to the customer in a report. Thanks to three-dimensional image data, the repair time required for damage repair can be optimized, The repair materials to be used during the repair process will be determined by the developed algorithm. optimization, 3D image, virtual reality glasses given to repair teams vibration dampers attached to turbine bodies, enabling their use in the repair process. The sensors detect anomalies on the turbine blades, and the images obtained are used to 30 the process of interpreting the detected anomalies by associating them with the developed algorithm, systematically The data is interpreted through the data stream coming from the turbine, thus providing an understanding of the turbine. This enables the creation of a structural map and provides real-time reporting to turbine owners. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting system. No evidence of this has been found. 35 4 Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new 5 to the relevant technical field. AI and virtual reality-supported wind turbine damage detection to bring advantages, It is related to the analysis and reporting system. The main purpose of the invention is to utilize the wind found in regularly constructed wind power plants. Damage inspections and reporting on turbine blades using artificial intelligence and virtual reality. The goal is to ensure that it is done in a realistic way. Another purpose of the invention is to capture wind from different angles using a high-speed industrial camera. by taking images of the turbine blade and combining the images, obtaining a 3D image from images / data, 15 on the acquired images the damage is detected and marked by the artificial intelligence on board, providing the client with a report detailing the type and size, and creating a precise 3D model. Image data allows for the optimization of repair time required for damage repair, Optimization of repair materials to be used during the process using the developed algorithm, 3 The 3D image is displayed to the repair teams using virtual reality glasses during the repair process. the use of vibration sensors attached to turbine bodies and on turbine blades the detection of anomalies, and the development of systems that analyze the anomalies detected using the acquired images. interpreting the data regularly coming from the turbine by associating it with the algorithm By interpreting the data through its flow, it is possible to create a structural map of the turbine and the turbine real-time reporting to the owners, specifically on the turbine and turbine blades 25 Monitoring of the detected damages and, consequently, ensuring the optimum performance of the relevant turbine. The goal is to ensure repair planning and predictive maintenance. All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention is designed to perform damage inspections on the blades of wind turbines and 30 used for reporting, the operation of the wind turbine with the equipment in its body an aircraft that allows damage to the turbine and blade to be detected without stopping the engine It has artificial intelligence and virtual reality-supported wind turbine damage detection, analysis, and It is a reporting system, its feature is that it is mounted on the aircraft; high shutter Capable of capturing images at speeds without loss or blurring, it has a signal input of 35 Thanks to this, the wind turbine blade entered and exited the frame of the shot. by running preloaded measurement algorithms, it detects damage in the image. Cameras equipped with artificial intelligence that detect and capture the start and end points of damage, images captured by cameras and the aircraft's movement commands are transmitted via signals. the wireless communication unit that enables the transmission of the signal sent by the aircraft to the surface 5 that determine the height of the reflected light with millimeter precision to enable the photos to be matched with each other and to create a 3D model The position of the captured image of the turbine blade is transferred to an AI-powered image processor. The altitude sensor transmits the information in millimeters from the light beam sent by the aircraft to the wind turbine and reflected back. with sufficient precision to determine the distance to the wing, and to capture an image of the wing. It transmits a signal to the cameras indicating that it will not be captured, and enables the creation of a 3D model. to provide distance information from the captured image of the turbine blade to artificial intelligence. The distance sensor receives images from the cameras, which then transmits this information to the image processor. The camera simultaneously provides aerial information from the range sensor and the altitude sensor. The system obtains information about the vehicle's distance from the turbine blade and its height above the ground, and the images obtained... The 3D mesh image is created by including 15 features such as scratches, cracks, and dents on the wings. analyzing the extent of damage, labeling the damage with its location, size and information, and The aforementioned image processor, which transmits the tagged damage information to the cloud server, Damage tagged via an algorithm running inside it, communicating with its processor. using the information, a 3D model is created from it, and from the created model... Detecting damage on the turbine and blade, and assigning damage levels to the detected damages. determining the magnitude of damage and the distance from the ground to the wing compiles a report, and shares the generated report with the customer via their electronic device. cloud server that converts the created 3D model into virtual reality data It includes. The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 shows the artificial intelligence and virtual reality-supported wind turbine damage detection system that is the subject of the invention. The aircraft and equipment used in the analysis and reporting system were blown up. It is a representation. Figure 2 shows the artificial intelligence and virtual reality-supported wind turbine damage detection system that is the subject of the invention. This is a representative illustration of the analysis and reporting system. 35 6 The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent... Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 1. Camera 2. Wireless communication unit 3. Altitude sensor 10 4. Distance sensor 5. Image processor 6. Aircraft 7. Connector 8. Cloud server 15 9. Vibration sensor 10. Virtual reality glasses DETAILED DESCRIPTION OF THE INVENTION This detailed explanation describes the invention, which involves artificial intelligence and virtual reality-powered wind turbines. The turbine damage detection, analysis, and reporting system not only helps in better understanding the issue. This is explained with examples that will not create any limiting effect. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting 25 system, camera (1), wireless communication unit (2), altitude sensor (3), range sensor (4), image processor (5), aircraft (6), connection device (7), cloud server (8), vibration sensor (9) It includes a camera (1) mounted on the aircraft (6) that can shoot at high shutter speeds. Capable of capturing images without loss or blurring, thanks to its signal input, it can withstand wind. detecting when a turbine blade enters and exits the frame, initial and 30 capturing endpoints and pre-loaded measurement algorithms in the image It is an industrial and artificial intelligence-equipped device that detects damage by operating it. Wireless. communication unit (2), images taken from cameras (1) and movement of the aircraft (6) It is the unit that enables the transmission of commands via signals. Wireless communication unit (2) These are preferably modules such as wifi antenna, wifi module, bluetooth module. Altitude sensor (3), air 35 from the light sent and reflected from the aircraft (6) onto the surface of the aircraft (6) The photographs taken determine the height with millimeter precision. 7 turbine to enable matching with each other and the creation of a 3D model The position of the captured image of the wing is transferred to the AI ​​image processor (5) The distance sensor (4) is a laser sensor that transmits the distance. The distance sensor (4) is located on the aircraft (6). The vehicle (6) sent to the wind turbine and reflected light to the canal with mm precision The cameras detect the distance and send information to the system about whether or not the wing's image will be captured. (1) turbine blade that transmits as a signal, enabling the creation of a 3D model. transferring the distance information of the captured image to the image processor with artificial intelligence (5) It is a laser sensor. The image processor (5) receives images from the cameras (1) and uses the camera (1) Simultaneously from the distance sensor (4) and altitude sensor (3) of the aircraft (6) obtaining information about the distance to the turbine blade and its height above the ground, 3 10 of the images received creating a three-dimensional mesh image, including scratches, cracks, and dents on the wings. analyzing the extent of damage, labeling the damage with its location, size and information, and It is the processor that transmits the tagged damage information to the cloud server (8). Aircraft (6), cameras (1), wireless communication unit (2), altitude sensor (3) and range sensor in its body carrying the sensor (4) equipment, ensuring the wind turbine's operation is not interrupted, turbine and 15 It is a device, preferably a drone, that enables the detection of damage to the wing. Link device (7), camera (1), wireless communication unit (2), altitude sensor (3) and distance on the aircraft (6) as a platform with precise angles through its sensor (4) It is the device that enables the connection. The cloud server (8) communicates with the image processor (5), Using the damage information tagged via the algorithm running within it, 3 20 3D modeling was created, and based on the created model, the turbine and its blade were analyzed. damage detection, determining the damage levels of the detected damage, damage Report their magnitudes and the distance from point 0 to the distance on the wing. bringing the generated report, sharing it with the customer via an electronic device, the generated 3 25 that turn three-dimensional modeling into data to be used in virtual reality glasses (10) It is the server. The vibration sensor (9) is placed on the wind turbine, and it detects the vibration of the turbine. It enables the real-time and continuous collection of information, and the collected data is used for deep learning. By analyzing data with algorithms, it accurately detects and categorizes anomalies. Taking swift action on problems requiring immediate intervention, and on less critical problems 30 wind turbines that allow monitoring and tracking until regular maintenance periods. Continuous effort to make sense of vibration data and ensure the continuity of energy production. supporting the provision of emergency solutions, enabling the wind turbine owner to be notified of urgent problems. and by developing a repair plan according to the criticality levels of the damages, inefficiency is eliminated. It is a sensor that has an algorithm that improves operational efficiency and enhances virtual reality. The glasses (10) communicate with the cloud server (8) and are available for use by the repair team. 3D modeling created via the server (8) can be used It is the glasses that provide this. 8 Currently, turbine sites are located in windy areas, so there is no wind. The periods are limited, and maintenance processes can be completed in as little as 60 days. They are stuck. This situation is creating major operational chaos in the field. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. The system, in a structured form of the invention, is ATICS (Autonomous Turbine Inspection Cloud System- It is also called the Autonomous Turbine Control Cloud System. With this invention, continuous damage This ensures monitoring and allows problems to be identified before they escalate. Additionally, audit costs are reduced. The number of critical 10 at Cat-4 and Cat-5 levels is decreasing, and companies are able to conduct more frequent inspections. Damages can be detected and addressed quickly before they escalate. For wind turbines... Critical damage at Cat-4 (severe damage) and Cat-5 (requiring immediate intervention) levels, serious structural and operational failures typically occur in wing structures. These are defined as situations that threaten safety. These categories include turbine blades. The highest level of damage that should be prioritized in maintenance and repair processes is 15. This indicates that, in addition, lower levels of damage are continuously monitored with this invention. and proactive repair plans can be made. With this system, companies can identify hidden inefficiencies. Energy production is decreasing, but continuity is ensured. Supported by artificial intelligence and virtual reality. Wind turbine damage detection, analysis, and reporting system, operational processes. facilitating, improving the efficiency, cost advantage and sustainability of the wind energy sector 20 It is achieving its goals. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. The system is an AI-powered autonomous aerial vehicle (6) (preferably a drone) platform. Invention 25 The ability to perform inspection processes of wind turbines without shutting down the turbines It has SMART (Structural Monitoring and Advanced Response Technology). Thanks to the integration of Advanced Intervention Technology, the invention enables turbines to be modified. SMART technology makes the control processes more comprehensive and effective. It offers an innovative perspective in the energy sector by optimizing security and analytical capabilities. Artificial intelligence technology was used as a fundamental element in the development of the invention. The system has 30 advanced artificial intelligence in image processing, analysis and data integration processes It is supported by algorithms. With SMART technology, this artificial intelligence integration is further enhanced. Improvements have been made, increasing the system's performance and accuracy. Thanks to SMART, the aircraft (6) Reporting of photographs taken during inspections only with 2D visual analysis The deficiency is overcome and thanks to physical vibration data, in IP access controls, IP 35 The quality of examination achieved is comparable to that performed by an accessibility specialist through touch. Additionally, artificial intelligence is involved. 9 and thanks to the virtual reality-supported wind turbine damage detection, analysis, and reporting system Both dynamic and stationary control can be performed. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. The system uses 5 high-speed cameras to provide real-time monitoring of the turbine blades. (1) AI-assisted image processing and deep learning in processing the acquired images It uses algorithms. In short, the turbine is built thanks to the algorithms run in the invention. Microscopic damage occurring on the wings can be detected with a precision of 3-5 mm. This is possible. Furthermore, 3D modeling data can be analyzed more quickly and accurately. The repair materials and repair processes to be used are optimized. The invention is based on artificial intelligence. The analysis engine is supported by algorithms. This allows for the identification of anomalies in the collected data. These are detected with precision, and preventive maintenance processes are made more efficient. Problems are analyzed without needing to shut down the turbine, thus preventing damage. Furthermore, the artificial intelligence, algorithm-based data analytics, and modeling used in the invention are 15 This is supported by its capabilities. Thanks to this, the probability of future turbine failures is precisely determined. This is how it is estimated and maintenance processes achieve maximum efficiency with minimum cost. It is planned to be done in such a way. The invention is an autonomous aircraft (6) It redefines wind turbine maintenance processes with its systems and autonomous components. The enriched system further strengthens its relationship with the sub-topics of mobility and autonomy. It strengthens the invention by moving completely autonomously in the turbine site. It performs inspection operations without human intervention. Thanks to this feature... Human errors are prevented in the inspection processes. A fast and continuous process. The flow of control is ensured. The invention is adaptable to challenging environmental conditions. The systems complement each other. This Thanks to this, the system can operate even in windy and rainy weather conditions where there are no flight conditions. It operates successfully. It ensures continuous traceability, stays on track, and allows visual inspection under appropriate conditions. It is continued. The invention's algorithms also optimize the aircraft's (6) control planning. By optimizing work planning and energy consumption, the system's performance in the field is improved by 30 It takes it to the next level. The invention enables renewable energy by ensuring the uninterrupted operation of wind turbines. This integration allows for more efficient use of energy resources. directly contributes to preventing production losses and reducing carbon emissions. Our invention completely eliminates the need to stop the turbines. It reduces operational costs. Thanks to the fully autonomous system, the field 35 Staffing needs are minimized, resulting in significant savings in operational costs. is provided. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. The system's rapid and continuous monitoring capability, combined with the current monitoring capabilities limited to windless periods. The processes are being improved. The invention is an innovative turbine that goes beyond existing systems. It is an inspection and analysis solution. It incorporates many new features in wing maintenance and inspection processes. 5 It exists. The most important of these is operational monitoring. The invention concerns turbines. It allows monitoring without the need to stop the system and completely eliminates energy loss. By eliminating these obstacles, it provides cost-effectiveness and operational efficiency. It also utilizes 3D modeling and... With its precise measurement capability, complex structures such as the ovality and curvature of the wings can be modeled in 3D. This feature is being analyzed. This improves the accuracy of damage detection and optimizes repair processes. Thanks to AI-powered real-time analysis, AI algorithms analyze the turbine. It quickly detects minor damage to the wings and speeds up maintenance processes. With this invention... Structural vibration analysis is also performed. Data obtained with vibration sensors (9) The images are synchronized, a structural map of the turbine is created, and the data from two different sources is combined. Multimodal fusion is achieved through integration. This strengthens preventive maintenance processes. 15 With continuous maintenance and remote monitoring capabilities, sensors installed in the turbines detect abnormalities. It triggers an alarm upon detection of vibrations, enabling immediate inspection before problems escalate. It is being solved. The invention, which has the feature of fast and economical control, depends on the turbine size. It can inspect 20 turbines in a single day. This feature reduces inspection time by 75%. and reduces costs. It provides zero energy loss and high cost savings. Zero energy 20 Thanks to its loss-of-life feature, it completely eliminates the need to stop the turbines. It reduces energy loss to zero. Integrated data management, cloud-based system, visuals, and vibration. It provides meaningful analyses by combining data. Real-time access makes operations easier. It makes it efficient. With its emergency damage detection feature, major damage can be quickly detected in critical situations. By doing so, interruptions are prevented. VR (Virtual Reality) supported maintenance with VR-25 Using virtual reality glasses (10), repair crews worked on a 45 to 80 meter long, ground The exact location of a 5mm damage on a wing 4-5 meters wide can be quickly identified. This is being done, maintenance processes are being accelerated, and accuracy is increasing. The differences and advantages of our invention are briefly stated below. With this invention: 30  The turbines can be monitored without being stopped. This feature minimizes energy production loss. reducing it to zero and simultaneously monitoring material stress in real time. It provides.  Precise measurements are made using 3D modeling. This allows for accurate quantity measurements. It provides. 35  6D modeling – multimodal fusion is performed. Vibration data from the images are combined. Structural analysis is performed by combining these elements. 11  Autonomous operation is performed. It reduces human dependence and lowers costs.  AI-based analysis is performed. Damage assessment is faster and more accurate.  Regular inspections and regular data flow are provided. Minor damages It allows for detection before growth occurs. AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. The system's operating principle is as follows: The aircraft is positioned at a certain distance from the wind turbines, preferably 10 meters ahead (6) is placed. The operator can get into the aircraft (6) (preferably 10 without stopping the wind turbines). The drone gives the take-off command. The aircraft takes off autonomously (6), its ascent vertically upwards, directly opposite the turbine tower It performs the following. The aircraft (6) determines the distance to the wing and turbine using a laser. The aircraft determines the level of the wing tip with the working distance sensors (4). (6) uses the altitude sensor (3) which acts as a laser on it. The aircraft (6) uses this 15 The aircraft remains stationary at this point. While the aircraft (6) remains stationary at this point, the turbine blades of the aircraft (6) passes in front of it one by one. During this passage, the aircraft (6) is located on top of it and preferably High-speed industrial cameras (1) positioned at 3 separate points, preferably 40 cm from 3 separate angles. The shooting is done with the frame distance. After the wings leave the camera (1) frame The shot stops automatically. The passage of the 3 blades of the wind turbine takes 5 seconds. A constant 20 The aircraft (6), which took its shots while stationary at altitude, saw the 3 blades of the turbine after 5 seconds. After passing in front of it, it preferably rises 35 cm using the altitude sensor (3). This It also takes pictures of all three wings from a height. This allows for 35 cm intervals between each wing. rising vertically on the wing, PS (Pressure Side) – LE (Leading Edge) Images of the Leading Edge (TE) and Trailing Edge (TE) sections are taken. The turbine's 25 After reaching the alignment, the aircraft (6) rapidly rises vertically and the other side of the turbine It passes to the side. From there, at intervals of 35 cm, in the same pattern, the SS (Suction) of the wing... Side (Intake Side) – He goes down taking pictures of the LE and TE sections. From this side as well... After completing the shooting, the aircraft (6) performs the landing autonomously. The artificial on it Combines the images with the intelligent image processor (5) and sends them to the cloud server (8). Cloud 30 A 3D model is generated from the server (8). Artificial intelligence damages are generated from this model. It detects these damages. After this detection, it determines the damage levels and magnitudes of these damages. and generates a report showing the distance from point 0 to the distance on the wing. The report is preferably generated in PDF format and shared with the client via an electronic device. The resulting 3D model is converted into data that can be used in VR glasses, and with the VR option, 35 The vibration sensor (9) to be placed on the turbine is shared with the repair team. Vibration information is collected in real-time and continuously. The collected data is used for deep learning. 12 Anomalies are precisely detected and categorized through analysis using algorithms. While rapid action is taken for issues requiring immediate intervention, less critical issues are monitored and This is monitored until regular maintenance periods. This feature ensures that the data is meaningful without the turbine stopping. It supports the restoration of the state and ensuring the continuity of energy production. Emergency shutdowns are needed in the region. It becomes possible to notify the customer before departure. The developed algorithm determines the criticality of the damages to level 5. By planning repairs according to their levels, it reduces hidden inefficiencies and improves operational efficiency. It increases the amount of materials needed for repairs and the repair times thanks to 6D modeling. By calculating accurately, resource waste is prevented.

Claims

13 REQUESTS 1. Used for damage inspection and reporting on wind turbine blades, 5 the turbine and the equipment on its body can be operated without stopping the operation of the wind turbine. having an aircraft (6) that enables the detection of damage on the wing AI and virtual reality-supported wind turbine damage detection, analysis, and reporting. It is a system, and its feature is;  connected to the aircraft (6); 10 - Image quality without loss or blurring at high shutter speeds. capable of receiving, thanks to its signal input, the wind turbine blade detecting that it has entered and exited the frame, by running pre-loaded measurement algorithms on the image 15 that finds damages and captures the start and end points of the damages cameras with artificial intelligence (1), - images taken from cameras (1) and the movement of the aircraft (6) wireless, which enables the transmission of commands via signals. communication unit (2), - 20 millimeters of the light sent and reflected from the aircraft (6) to the surface. detecting at what altitude it is in terms of sensitivity, taken the ability to match photos with each other and a 3D model to enable its creation, the turbine blade is pulled the position of the image to the image processor with artificial intelligence (5) transmitting altitude sensor (3), 25 - mm from the light sent to and reflected from the aircraft (6) to the wind turbine with its sensitivity, it determines the distance of the wing, The cameras (1) signal the information of whether or not the image will be taken. transmitting it in a way that enables the creation of a 3D model. Artificial 30 with distance information from the captured image of the turbine blade distance sensor (4) which transmits to the intelligent image processor (5),  receiving images from cameras (1), distance with camera (1) from the sensor (4) and altitude sensor (3) simultaneously the aircraft (6) receiving information about the distance to the turbine blade and its height above the ground, The scratch on the wings, which forms a 3D mesh image of the images, 35 Analyzing the extent of damage such as fractures and contusions, and assessing the location of the damage. 14 Labeling with its size and information, and sending the labeled damage information to the cloud server. (8) the mentioned image processor (5),  communicates with the image processor (5) through the algorithm that is run inside it A 3D model is created using the labeled damage information. 5 that detect damage on the turbine and blade using the created model. determining the damage levels of the detected damages, the magnitude of the damages, and a report that shows the distance from the ground to the wing's surface, sharing the generated report with the customer via their electronic device, Cloud server that converts 3D modeling into virtual reality data (8) It includes. 10 2. AI and virtual reality-assisted wind turbine damage assessment in accordance with Claim 1, It is an analysis and reporting system, its features include a camera (1), wireless communication unit (2), altitude sensor (3) and range sensor (4) on the aircraft (6) It includes a connecting device (7) that enables connection. 15 3. AI and virtual reality-assisted wind turbine damage assessment in accordance with Claim 1. It is an analysis and reporting system, the feature of which is that it is placed on top of the wind turbine. This system enables the real-time and continuous collection of vibration data from the turbine, and the collected data... By analyzing the data with deep learning algorithms and detecting anomalies, 20 categorizing, and based on that categorization, providing rapid response to problems requiring urgent intervention. taking action, monitoring less critical issues and regular maintenance This allows the wind turbine to be monitored for vibrations without being stopped, down to the periods in question. making the data meaningful and ensuring the continuity of energy production 25 by providing and planning repairs according to the criticality levels of the damages It has an algorithm that eliminates inefficiency and increases operational efficiency. It contains a vibration sensor (9).

4. AI and virtual reality-assisted wind turbine damage assessment in accordance with Claim 1, 30 It is an analysis and reporting system, its feature is that it communicates with the cloud server (8), repair team 3D created via cloud server (8) for use by Virtual reality headset that enables the modeling to be used (10) It includes. 35 5. AI and virtual reality-assisted wind turbine damage assessment in accordance with Claim 1. It is an analysis and reporting system, the feature of which is; the aforementioned wireless communication unit. (2) is that it has a wifi antenna.

6. AI and virtual reality-assisted wind turbine damage assessment in accordance with Claim 1, 5 It is an analysis and reporting system, and its feature is that the mentioned aircraft (6) drone It is the fact that.

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