Input
Present status Issue Needs
Analytics
Output
Data is not fully organized due to the limited time and human resources
General analysis alone does not enable high competitiveness against other racing teams
●Organizing data from data logger
●Obtaining new data that data logger currently does not have
A more advanced data analysis that other racing teams do not have
●Compiling databases to avoid ending up with a one-time awareness●Creating training materials to help juniors learn and develop
Data from chassis and engine are available
Analyzing data from data logger
●Reflecting the results of analysis in machine settings●Feedback for drivers
●Managing the results of analysis systematically●Lack of operating flow for utilization of data as a long-term asset
Examples of present status, issues and needs in racing data utilizationOrganizing data promptly and accurately, deriving useful results through advanced analysis, and managing data as a long-term asset.
Our Solution
Putting racing data to work toimprove team performance
Advances in Internet of Things (IoT) technologies have made mass data available from various sensors installed in racing cars.In Super Formula, the highest motor vehicle racing category in Japan, ABeam Consulting has been working closely with Real Racing Team to promote progress in the utilization of mass data.
© ABeam Consulting Ltd., All Rights Reserved.
Advancing the utilization of mass racing data
ABeam Consulting enables you to organize/analyze data promptly and accurately through a one-stop service based on ABeam Cloud®. Our knowledge of sports analytics enables incomparably useful results through analysis and by managing data as a long-term asset.
Sports & Entertainment Solutions | Mass Data Analysis
CollectCollect ProcessProcess SaveSave EditEdit OutputOutput
LoggeddataLoggeddata TabletTablet
VideoVideo
RaceLiveRaceLive
WeatherWeather
etc.etc. etc.etc.
SmartphoneSmartphone
ComputerComputer
Smart speakerSmart speaker
(Example 1) Visualizing the driver's manipulation and machine loads/behavior
(Example 3) Utilizing live data with RPA
We visualize data on steering/accelerator/brake manipulation, machine loads, machine behavior against steering etc.This produces visually-oriented discussion materials founded in the data to help determine proper machine settings and manipulation of controls by the driver.
Our aim is to implement mechanisms by which to organize/analyze live racing data through robotic process automation(RPA), and to utilize data promptly and accurately.
We identify several turns where gaps between cars tend to expand, and we compare each cars' course line, speed and other factors at the relevant turns.We also take account of data that changes moment to moment , (a i r temperature , humidi ty , road sur face temperature, etc.). This produces discussion materials to help determine the best way for drivers to take the relevant turns.
(Example 2) Race video analysis
About Real Racing
Real Racing Team is one of the racing teams participating in Super Formula, the highest motor race category in Japan. Koudai Tsukakoshi participates in the race in season 2018.www.real-racing.jp/
© Real Racing
www.abeam.com
© ABeam Consulting Ltd., All Rights Reserved.