High-Level Project Summary
We are working to solve a problem on a planetary scale. The Carrington event is a severe geomagnetic storm that has been damaging and could be damaging if no action is taken. A Carrington event can disable all electronics and if it is not so critical in everyday life, it can be critical for commercial and factory scale. Bad consequences can be avoided if you learn about the impending event in advance. If you imagine that such a spill would happen now, the losses could amount to billions of dollars, and also lead to the blackout of entire cities. For example, in February this month, 40 Starlink satellites failed due to an electromagnetic storm, and the company lost 20 million dollars
Link to Final Project
Link to Project "Demo"
Detailed Project Description
To predict the Carrington events, our algorithm determines the number and size of sunspots on satellite images, combining data from the algorithm and satellite observatories. It takes an image of the sun's surface, processes it, removes the extraneous ones, and then with the help of the "Blob Detection" algorithm, we search for spots to count and highlight them. The solar wind, interplanetary magnetic field, temperature, density, and planetary indices are also analyzed. It recognizes data thanks to open archives. Based on this experience, it can analyze the data received in real-time, make predictions, and shows the probability of a Carrington event. Or predict smaller geomagnetic storms. We use NumPy, Pillow, and OpenCV in Python for image processing
Space Agency Data
We use information from the DSCOVR satellite, NOAA sensors, geomagnetic data from the World Data Center (Kyoto), and images from the National Astronomical Observatory of Japan to analyze and predict the probability of a Carrington event
Hackathon Journey
We chose this particular project because it was quite challenging for our team and we chose this difficult task to gain valuable experience and get the most out of this hackathon, also we were fascinated by the relevance of this problem, especially in today's world, and we believe that this topic is worth the attention of the world community. We assigned tasks to each member of the team and worked harmoniously on each task to get the maximum result, we reacted as quickly as possible to the obstacles that came our way and found new solutions to circumvent them. We would like to thank the Noosphere company, mentors Hanna Saribogii, Vitalina Lytvyn, Vitaliy Hit, and others for their help and support in this hackathon.
References
Tags
#solaractivity #imageprocessing #sun #satellites #carringtonevent #sunstorm #geomagneticstorm