Unmanned aerial vehicles, or drones, are technological tools with diverse application fields whose growth is a reality. For the inspection of solar panels, these drones can transport high-precision and wide-range thermographic cameras, allowing a wider field of view. One of the main issues in the development of aerial inspection is the positioning of the aircraft. The drones generate the positioning due to various systems, mainly the GPS.  The information obtained is based on a thermographic image format, where the thermal variations presented by each inspected surface can be appreciated. The amount of data generated by this system is huge, due to the extension of the solar plants and the capacity of the system to capture video and thermograms. The post-processing of the data is an unfeasible question regarding time and cost since it would be necessary to review each of the thermograms manually. The project proposes a data processing system that allows the processing from an online platform. The user only has to upload the data and extract the results automatically, which is challenging for this project’s development.

The online platform employs Python for advanced analytics, mainly RCNN, but the users can use other techniques. The interface with the user is done using PHP, JavaScript, CSS and HTML. Data, results, users and models are stored in MySQL. RabbitMQ is employed to manage the messages. The system can run in Apache or Nginx. Please access it at the following demo link, which uses a fake model to analyse the photovoltaic panels. It provides solutions as the panels detected and the hotspots together with the probability and marked by a box in the photo. The data details are also provided, and all can be downloaded in zip format. You can upload a photo or a set of images located in the same directory, you need just to select this directory. Please pulse the following icon to access the application:

 

 

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References

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101 entries « 1 of 7 »

2024

Babu, N. R.; Chiranjeevi, T.; Devarapalli, R.; Márquez, F. P. García: Performance analysis on an integrated three-area thermal AGC system with various wind velocities considering HCSA-optimized PI-TIDN Controller. In: vol. 34, no. 4, pp. 755-776, 2024. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Ramirez, I. S.; Gonzalo, A. P.; Sánchez, P. J. B.; Márquez, F. P. G.: Wind Turbine Engineering Management: A Real Case Study with Acoustic Monitoring. In: vol. 215, pp. 647-656, 2024. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Sánchez, P. Bernalte; Ramírez, I. Segovia; Márquez, F. P. García; Marugán, A. Pliego: Acoustic signals analysis from an innovative UAV inspection system for wind turbines. In: 2024. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Karad, S. G.; Thakur, R.; Alotaibi, M. A.; Khan, M. J.; Malik, H.; Marquez, F. P. G.; Hossaini, M. A.: Optimal Design of Fractional Order Vector Controller Using Hardware-in-Loop (HIL) and Opal RT for Wind Energy System. In: vol. 12, pp. 35033-35047, 2024. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Malik, H.; Ayob, S. M.; Idris, N. R. N.; Jusoh, A.; Márquez, F. P. G.; Almutairi, A.: Data Reliability Analysis for Early Fault Diagnosis of Air Handling Unit (AHU). In: vol. 1086, pp. 649-674, 2024. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)

2023

Chacón, A. M. Peco; Ramírez, I. Segovia; Márquez, F. P. García: K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection. In: vol. 6, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Verma, N.; Kumar, N.; Gupta, S.; Malik, H.; Márquez, F. P. García: Review of sub-synchronous interaction in wind integrated power systems: classification, challenges, and mitigation techniques. In: vol. 8, no. 1, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Chacón, A. M. Peco; Ramirez, I. Segovia; Márquez, F. P. García: False alarm detection in wind turbine by classification models. In: vol. 177, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Chacón, A. M. Peco; Ramírez, I. Segovia; Márquez, F. P. García: SCADA Data-Based Support Vector Machine for False Alarm Identification for Wind Turbine Management. In: vol. 37, no. 3, pp. 2595-2608, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Chacón, A. M. Peco; Márquez, F. P. García; Ramírez, I. Segovia: Alarms and false-alarm analysis by support vector machine in wind turbines. 2023. (Type: Book | Links | BibTeX | Tags: Wind-Turbine)
Chacón, A. M. Peco; Márquez, F. P. García; Ramírez, I. Segovia: Prediction and classification of different wind turbine alarms using K-nearest neighbors. 2023. (Type: Book | Links | BibTeX | Tags: Wind-Turbine)
Sánchez, P. J. Bernalte; Márquez, F. P. García: Artificial neural networks applied for wind turbines maintenance management in unmanned aerial vehicle acoustic inspection case. 2023. (Type: Book | Links | BibTeX | Tags: Wind-Turbine)
Chacón, A. M. Peco; Ramírez, I. Segovia; Márquez, F. P. García: False Alarm Detection with K-NN Algorithm for Wind Turbine Maintenance Management. In: vol. 160, pp. 488-493, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Chacon, A. M. Peco; Marquez, F. P. G.: Classification of SCADA Alarms and False Alarm Identification Using Support Vector Machine for Wind Turbine Management. In: vol. 643 LNNS, pp. 535-547, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
Chacon, A. M. Peco; Márquez, F. P. García: Support Vector Machine and K-fold Cross-validation to Detect False Alarms in Wind Turbines. In: vol. 333, pp. 81-97, 2023. (Type: Journal Article | Links | BibTeX | Tags: Wind-Turbine)
101 entries « 1 of 7 »