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New F1 insight supported by Amazon cloud technology helps racing fans understand instant decisions on the track

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Six new real-time racing statistics will be released in the 2021 season, the first of which was made its debut at the Italian Grand Prix from April 16 to 18

Amazon cloud technology and F1 racing Association will jointly launch six new F1 insights (statistical analysis) supported by Amazon cloud technology in the 2021 season, which means that by the end of the season, racing fans will have a total of 18 statistical analysis supported by Amazon cloud technology. The statistical data analysis supported by Amazon cloud technology is real-time racing statistical data, which provides data and analysis for racing fans, interprets the racing strategies and performance of drivers and teams with large screen display, and improves the experience of racing fans before, during and after each race. The first new statistic is the “brake performance” analysis, which made its debut at the Italian Grand Prix on April 16-18. The six statistics planned to be released in 2021 will use a series of Amazon cloud technologies including machine learning to help racing fans better understand and highlight possible race results and compare their favorite drivers and cars. For more information about Amazon cloud technology and its participation in F1, including 12 previously released F1 statistics, please visit: .

F1 racing is a data-driven sport. Many exciting points of racing fans come from the data before and after the race. Through the data, we can have a deeper understanding of the decisions of drivers and teams, as well as the performance of the car on the track. F1 statistics supported by Amazon cloud technology has added a new real-time dimension, providing scenario information for race data to help racing fans better appreciate critical moments on the track. Each car has more than 300 sensors, generating more than 1.1 million data points per second. F1 transmits these data points from the car to the repair station, and then to Amazon cloud technology for processing. F1 relies on the breadth and depth of Amazon cloud technology’s cloud services to transfer and analyze these huge amounts of data when they are generated, and then present them to TV and online audiences around the world in a convenient way through F1 statistical data.

The first F1 statistic released this season is brake performance. It shows the driver’s way of braking when turning the corner, and gives the advantage of turning. If the braking is proper, it can optimize the speed of the car in the corner stage, so that the driver can get a better position in the corner. The data measures how close the drivers are to the turning point before braking, so as to show and compare the braking mode and performance of drivers. In addition, it also shows the key performance indicators of the comprehensive performance of the car and the driver when cornering, such as the maximum speed when approaching (the top of the curve), the deceleration when braking, the use of braking power (KWH), and the huge gravity that the driver bears when cornering“ “Braking performance” is based on the existing cornering analysis, which shows the specific performance of the car when cornering.

Brake performance and five other new F1 insights supported by Amazon cloud technology (see below) were unveiled in the form of screen graphics from April to December this season. Every new data will give racing fans a better understanding of the instant actions on the track and the decisions behind the scenes at the repair station.

Car exploration is used to show car fans when F1 drivers will use their car’s tire traction, braking, acceleration and handling to the limit at the key points of the race. The statistics show the comparison between the current performance of the car in the race and the theoretical performance limit, reveal the data in real time, and then calculate the time gained or lost for each lap. The statistics will make its debut at the 2021 Grand Prix in Canada from June 11 to 13.

Energy usage analysis. It can help people understand how the high-tech engine provides power for the car in F1 race and how the team releases energy to overtake. This statistic shows how energy flows through each component of the advanced F1 engine, called the power unit, and shows the amount of battery energy left at any given moment in the race. The F1 engine drives the vehicle using a combination of internal combustion engines and hybrid systems that recover energy from the brakes and turbine chargers. However, the energy storage capacity of the power unit and the energy that can be transferred through it in each lap are limited. The race team tracks these data to help the car maximize its performance at the critical moment of the race, and to decide when to deploy energy steadily to get the best lap speed, or to focus on releasing energy to gain or maintain a favorable position when competing with other drivers“ “Energy usage” allows racing fans to see these decisions in real time. The data will make its debut at the 2021 British Grand Prix on July 16-18.

Start analysis shows which driver stepped on the accelerator the fastest, chose the perfect route, and which driver was more sluggish when starting, and why. Achieving a perfect start is a driver’s core skill. “Start analysis” helps car fans understand the driver’s decision to win or sacrifice early advantages in the race. The statistics will make its debut at the 2021 Portugal Grand Prix on September 10-12.

Pitlane performance analyzes the performance of the maintenance station and adds brilliance to the competition behind the scenes. Maintenance station is an essential, precise and time-consuming element in F1 competition“ “Pit performance” provides an analysis of the car’s performance in each step of pit stop except the rest time, highlighting the total pit time lost or gained due to the team’s efficiency. The statistics will make its debut at the 2021 Grand Prix in Japan from October 8 to 10.

The undercut threat helps racing fans predict which cars are likely to be overtaken by the early stop strategy. Early stop is a F1 competition strategy, which means that the driver in the catching up position (in advance) enters the maintenance station to replace the new tire, in order to improve the lap speed brought by the new tire, so that the driver can surpass the car in front of him when he enters the station. In June 2020, F1 launched a similar statistic, namely pit strategy battle, to highlight the battle in case of early stop and help racing fans evaluate the success rate of each driver’s strategy in real time. Early pit threat will analyze the performance of any car before pit stop, adding a new layer of predictive insight, increasing the excitement of racing fans and the perception of potential threats coming. It visualizes the gap between cars, the average time lost in stops, and tire performance data to help identify which cars are at risk. The data will make its debut at the 2021 Grand Prix in Austria on November 19-21.

To create new insights, F1 uses Amazon’s simple storage service   S3), which is combined with the real-time data stream of F1 cars and track side sensors, and sent to Amazon cloud technology through Amazon kinesis (a service for real-time data collection, processing and analysis). F1 engineers and scientists use this data to use the machine learning model through Amazon sagemaker, the Amazon cloud technology machine learning service. Amazon   Sagemaker can help developers and data scientists quickly build, train and deploy machine learning models in the cloud and on the edge. F1 can be used in Amazon   These machine learning models are deployed on lambda to analyze the game performance index in real time. Amazon   Lambda is a server less computing service that can run code without providing or managing servers. All the data analysis is integrated into the global broadcast, including the F1 digital platform f1tv, to help racing fans understand the decisions and competition strategies made by drivers or teams in an instant, which have a great impact on the competition structure.

“The F1 data analysis supported by Amazon cloud technology provides racing fans with an insider perspective on how the car, driver and team work together to better appreciate the action on the track,” said Rob Smedley, F1 chief engineer With this new set of car statistics for 2021, we have more insight than ever before. Statistics such as braking performance and advanced station threat are separated from competition strategy and performance performance, and advanced visualization technology is used to make motor racing more understandable and exciting. Racing technology is improving all the time. Amazon cloud technology enables our racing fans to understand the impact of technology on the results of the race. “

“Data has become an important part of modern sports. For F1, more than one million data points are generated every second on the track. They need partners to interpret the original data in real time. Amazon cloud technology enables F1 to analyze its large amount of data on a large scale, make better and more intelligent decisions, and bring racing fans closer to every stage of the track, from starting, turning to entering, “said Darren Mowry, business development director of AWS Europe F1, the world’s leading sports organization, uses Amazon cloud technology to build data-driven solutions, reshaping the way sports watch, compete and manage. Our collaboration with F1 shows that advanced statistics reveal the tactics and strategies behind the seemingly simplest elements of the game, thus enhancing the fans’ experience. “

Please visit: To learn about Amazon cloud technology helping F1 develop the next generation of racing cars.

About Amazon cloud technology

In the past 15 years, Amazon Web services has been a world-famous cloud platform with rich services and wide applications. Amazon cloud technology has been expanding its service portfolio to support almost any workload on the cloud. At present, it provides more than 200 full-featured services, including computing, storage, database, networking, analysis, robotics, machine learning and artificial intelligence, Internet of things, mobile, security, hybrid cloud, virtual reality and augmented reality, media, and application development In terms of deployment and management, it covers 80 zones (AZ) in 25 geographical regions, and has announced plans to build 5 new zones and 15 new zones in Australia, India, Indonesia, Spain and Switzerland. Millions of customers around the world, including fast-growing start-ups, large enterprises and leading government agencies, rely on Amazon cloud technology to strengthen its infrastructure, improve agility and reduce costs through its services. For more information about Amazon cloud technology, please visit: .

About Amazon

Amazon adheres to four principles: customer first, innovation first, excellent operation and long-term thinking. The company has created many innovative services, including customer evaluation, one click order, personalized recommendation, prime member service, Amazon distribution, Amazon cloud technology, and kindle direct publishing   Direct   Publishing)、Kindle、Fire   tablets、Fire   TV、Amazon   Echo and Alexa et al. For more information, please visit .

About F1

F1 (formula one)   Started in 1950, it is the most famous car race in the world and the most popular annual sports series in the world. FIA Formula One World Championship 2020 ™) From March to November, 22 competitions were held in 22 countries on five continents. Formula One World Championships Limited is formula one ® As part of the FIA Formula One World Championships ™ The exclusive commercial rights of. Formula 1 ® It is a subsidiary of liberty Media Corporation (NASDAQ: lsxma, lsxmb, lsxmk, batra, batrk, fwona, fwank) and a tracking stock of formula one group. F1 logo, F1 formula 1 logo, formula 1, F1, FIA Formula One world challenge, Grand Prix, paddock club and related logos are trademarks of formula one licensing bv of F1 company. All rights reserved. Amazon cloud technology announces low cost storage level for Amazon EFS   Personalize personalized recommendation launched in Amazon cloud technology China with self-developed processor Amazon graviton2. Amazon cloud technology in China is rich in ecological diversity. Amazon cloud technology self-developed cloud native processor provides cost-effective computing power for graffiti intelligence. Amazon and red hat announced the launch of AWS technology, a hosting service for red hat openshift container platform based on Amazon cloud technology More than 50 technical forums and more than 6000 professionals are expected to attend the 2018 Shanghai summit, Create the best AWS technology summit in China AWS Technology Summit held in Shanghai reveals the new trend of cloud computing more than 1800 teams from all over the world take part in Alibaba mom international algorithm competition and use artificial intelligence to improve marketing efficiency Study data ranking, scientists become hot talents

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