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At Oracle Red Bull HQ, where data is stronger than a single-seater

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At Oracle Red Bull HQ, where data is stronger than a single-seater

An hour and a half from London is the quiet village of Milton Keynes, one of the new towns created in the 1960s to accommodate the overflowing population of the capital looking for a decent place to live. In this oasis of peace and cycle paths, the Red Bull Racing headquarters, with long buildings adorned with charging bulls, stands out as a base of secret science fiction experiments in the placid British routine.

The analysis

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And in fact what happens inside yours secret rooms has science fictionat least for those who have no idea of ​​the level of detail, research and precision achieved by the formula one year after year, a precision that thanks to the partnership with Oracle now also exploits the computing power of cloud servers not only to analyze the present, but to predict the future.

If you are lucky enough to enter Milton Keynes’ inner sanctum, you will find yourself at the intersection of an immaculate laboratory, a workshop, an inventor’s workshop and an aerospace research center. The electronics department is made up of long benches full of tools, wires, test chambers and parts of the car that are analyzed and then filled with sensors and cables that run inside it to 14 kilometers, 3D printers work tirelessly to create bespoke partssuch as the grips of steering wheels or bolt unscrewing guns, or prototypes of new components, in the tool department the tools necessary to intervene on every part of the cars are constantly created and perfected, the huge autoclaves churn out carbon fiber parts after having subjected them at high pressures and temperatures.

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The work of a Formula One team never stops, especially that of those who fight for the championship and every day must understand how to file cents and predict the moves of their opponents. With a Grand Prix every two weeks, the logistic and production machine must be foolproof in every aspect, from the smallest sensor to the hierarchy of who can talk to the drivers during the race. And prediction is the goal of the collaboration between Oracle and Red Bull which finds its fulfillment in what is now the most important place in all of Milton Keynes.

And strangely we are not talking about the spaces where the car is actually designed, assembled and disassembled after each race, nor the training space for the garage mechanics, but the Operations Center, a place designed to absorb and make sense of a gigantic amount of data that arrives in real time during the race from each mechanical component and that is crossed with data already received in the past and simulations on possible scenarios. Here, perhaps the most fascinating aspect of cloud machine learning applied to Formula 1 lies in the elaboration of statistical models that are created by simulating all the races millions of times, in all weather conditions with every variable. What happens if it starts raining? What do we do if the Safety Car enters due to an accident? Shall we make a pit stop or two? What could happen to the tires at this temperature on that particular track?

Technical analysis

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Simulations that are also used during the races to have clear the chances of success of each strategy, even if, of course, each response from the servers however, it must pass through communication with the pilot. And if before to get the answers hours and hours of calculations were needed, technicians say that sometimes they left the computers to work at night and then read the results in the morning, today it is a matter of seconds.

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The same analysis capabilities are used in computational fluid dynamics, i.e. the mathematical models that allow you to simulate the results of a wind tunnel using 3D models and which are essential in the design phase. Another field of use is that of engines, a crucial phase that the Red Bull Oracle team is managing in view of 2026, the year in which the first engine entirely designed and built in Milton Keynes should debut. Four years may seem like a long time, but creating an engine from scratch and a cyclical work of design, testing and calibration that becomes more and more complex and requires very precise calculations to save time and money, which is why it is essential to be able to rely on mathematical models. precise and fast.

And if it is true that the return of the ground effect was one of the great news of 2022, perhaps the greatest revolution takes place away from the tracks, in the command centers, in the servers, inside the mass of data. that are analyzed every day and transformed into the next success. In a sport where not only the fastest car counts, but also the fastest data.

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