Aerospace Peru

https://drive.google.com/drive/u/0/folders/1CIlqQLK2lFrJhH3nl4qdfIeLcP3D2XO5

https://drive.google.com/drive/u/0/folders/1MMT2AA7MkEM9hIPB04xj3syTkO5MFkKV

The project links different aerospace and computer technologies, taking advantage of satellite information, the functionality of drones, sending data to the cloud, analysis through Artificial Intelligence and interactive visualization through web platforms.

The project starts by requesting satellite images from Peru Sat-1 to INICTEL (National Institute for Telecommunications Research and Training - Peru) and through a band analysis algorithm of the night images, it is possible to identify concentrations of electric light use, thus detecting the population centers that use energy and should be inspected. The solution can be extrapolated worldwide using Sentinel-2 satellite images provided by USGS (United States Geological Survey).

Having the coordinates of the place to be inspected in Google Maps, a drone is used to detect the electrical distribution elements, such as poles, transformers and electrical conductors. The drones to be used are from the technology company DJI (DJI Sciences and Technologies Ltd, a world leading manufacturer of unmanned aerial vehicles for aerial photography and videography).

The drone will have a pre-established route through the satellite images and will focus on identifying possible non-compliance with national regulations. The national technical regulation establishes the geometrical dispositions of the energy transmission elements with respect to the houses; as well as the standards of connection of the electrical network with the points of use.

It will also perform thermal photographs of transformers, conductors and electrical insulators, in order to prevent potential electrical failures caused by overloading of the electrical circuit. This procedure is necessary to identify elevated temperatures in the electrical transmission elements due to the power overload caused by the increase in unplanned demand. The thermal cameras used are from Flir (Teledyne FLIR is the world leader in the design, manufacture and marketing of infrared thermal imaging cameras).

All the information collected will be uploaded to the cloud that will be made available to the Supervisory Agency for Investment in Energy and Mining (Osinergmin- Peru). A neural network trained in Tensorflow will be able to identify faulty poles and store the details of the report in a database. Likewise, the software will assist in the analysis to the specialists, who will be able to observe all the information in an interactive way to certify the procedure and take the necessary measures. The solution can be extrapolated worldwide, using the international standards provided by the IEC (International Electrotechnical Commission) and the local regulations corresponding to the geopolitical location of analysis.

Aerospace EnergySafe will reduce the recurring problems of unplanned power outages that affect thousands of people living in developing urban areas. By alerting about possible failures in power distribution, government agencies and electricity concessionaires will be able to take preventive and corrective maintenance measures if required, generating savings of millions of dollars. Another benefit is based on the improvement of the safety of the inhabitants, who have been constantly affected by electrical failures due to overheating of the electrical elements that endanger material goods and people; reason why in many occasions they have ended up claiming human lives caused by house fires. In a social context, the project will not only contribute to control, but also to plan the electricity supply for the development of the cities generated by the demographic growth.

Aerospace EnergySafe is intended to provide safety in urban development through the use of satellites, drones and Artificial Intelligence.

• For the detection of vulnerable risk areas, satellite images from PeruSat-1 are used thanks to the Peruvian space agency CONIDA and INICTEL (National Institute for Telecommunications Research and Training), which sends satellite images every 5 days, making its use effective in this application.
• For global coverage, Sentinel-2 satellite images provided by the USGS (United States Geological Survey) were used.

The Space Apps experience was satisfying due to the learning and networking gained in the industry. The inspiration of the team was to contribute to science and engineering with our knowledge and put it at the service of humanity, showing the commitment we have as citizens of the world. The focus of the project was to integrate the various aerospace technologies to present a viable solution to one of the main problems in the world. During the development of the project, setbacks and challenges were encountered; however, with constant team communication, role assignment and constant consultation with specialists, we were able to cope with the difficulties and emerge victorious.

Acknowledgments:

Ing. Gregorio Aguilar Robles , specialist in electric power distribution.

• Dirección General de Electricidad- Ministerio de Energía y Minas, (2011), Codigo Nacional de Electricidad. 
• DJI Sciences and Technologies Ltd, https://www.dji.com
• Teledyne FLIR, https://www.flir.com
• United States Geological Survey, 
• C. M. Bishop, Pattern recognition and machine learning. New York: Springer, 2010
• R. C. Gonzalez, R. E. Woods, y B. R. Masters, «Digital Image Processing, Third Edition», J. Biomed. Opt., vol. 14, n.o 2, p. 029901, 2009
• L. L. Grigsby, Electric Power Generation, Transmission and Distribution, Third Edition. Taylor & Francis Group, 2012.
• C. Bayliss y B. Hardy, Transmission and Distribution Electrical Engineering, Fourth edition. Elsevier, 2011.

#Drones #ArtificialIntelligence #ElectricalSafe #CONIDA #PeruSat1#Maping #Detect #DataScience #DJI #USGS #INICTEL

This project has been submitted for consideration during the Judging process.