Formula 1 in the cloud: This is how data drives performance, sharing, and security

“We build a narrative of a car event that is a sum Animation, sound and now data: a global story distributed through rights holders in every country, constantly evolving and enriching itself with information, and also thanks to feedback from broadcasters, commentators and fans themselves.” As he speaks, Samara House He seems to be having a lot of fun: The Director of Innovation and Digital Technology for Formula 1 welcomed us into a soundproofed room at the F1 broadcast centre, The beating and technological heart of every TV broadcast Which tells the main category of the motor contest to 500 million spectators around the world.

Outside, on the racetrack MonzaThe 2022 Italian Grand Prix has been organized, which will see Max win Verstappen Red Bull vs Ferrari Charles Leclerc (With some controversy due to the presence of the safety car on the track.)

In Formula 1, 2022, it produces the performance of cars and drivers Huge amount of data: More than 300 sensors produce 1.1 million telemetry data points every second, which are sent to the drill in real time. A mountain of parameters that have been set correctly to generate ideas With teams that monitor and manage every aspect of performanceto understand how to improve performance by going beyond limits.

This is just the beginning: while most telemetry data remains a well-protected secret within each team, all competing teams must make the same small and valuable set of information available to the broadcast hub. Process them in the Amazon Web Services cloud. The purpose of this is twofold: on the one hand, to create that great information about the performance of cars and drivers that is superimposed in the graphics on the video stream, for example showing the forces applied to the driver through acceleration or braking just as they are going through. Again: telling the aerodynamic performance of the tire or engine, as well as the dynamics of the vehicle and its improvement. On the other hand, the in-depth analysis of the progress of each bid allows you to Understand any intrusions on cars And even on the racetracks, they can make every GP more competitive, twisty and even safer.

“We collect information from cars — which have been added to Samara — and feed them to the AWS cloud through its machine learning platform, which displays information that is structured so that it is Quoted on TV broadcast in real timeto enrich the experience. It’s about increasing the story we tell on TV and beyond, since we have additional channels like F1.com and the ability to customize the information feed according to the platform on which it is shown.”

The The collaboration between F1 and AWS started 5 years agowith the aim of improving the ability to entertain an already beloved sport: “The 2022 cars are designed to ensure that they provide valid service, that is, maximum enjoyment, to the main customer of Formula 1, who are the fans.” Rob SmedleyThe chief technical engineer in F1’s Engineering and Performance Analysis department explained to us how, starting from analyzing data collected in the past, the cars’ aerodynamics were understood to have made overtaking more difficult, and changes were proposed to allow pilots to compete more closely in 2022: ” We collected a set of real-time data – he told us – and used it and processed it using the AWS cloud to speed up ricerca in computational fluid dynamicsA simulated environment is practically a virtual wind tunnel, where we understood how the aerodynamics of the rear of the car negatively affected the front of the next car, effectively harming its stability, hindering drivers in overtaking and reducing the racing scene.”

The next step was to propose a series of improvements to the aerodynamics of the individual seats to the FIA, which organizes and regulates Formula 1. Changes that appear to have been a complete success: “The data shows we’re heading in the right direction – Smedley emphasized – The next step will be to use more and more machine learning to understand what direction vehicle design could take in the future. We have enough historical data to train algorithms using reinforcement learning.” At the same time, AI will be used more and more for Online sentiment analysisthat is, understanding whether and to what extent the choices really like fans, as well as understanding what they really want.

After all, the future is bright: Formula 1 is the world’s fastest growing sport, with an increasingly young and diverse fan base. However, the latter also poses challenges: “For our new fans, TV is irrelevantBecause they don’t look at it – Smedley revealed to us – the youngsters have so little time, they want the same immersive experience of a two-hour Grand Prix, but they want it in 5 minutes. It turns data into information to educate them about the sport, but the next step is to improve the immersive experience, and find a way to do that Put the kids in the cars and let them have a trywith a new video game-like experience.