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Putting racing data to work to improve team performance · 2018-09-07 · Organizing data promptly...

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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 ˔ Re‡ecting the results of analysis in machine settings ˔ Feedback for drivers ˔ Managing the results of analysis systematically ˔ Lack of operating ‡ow for utilization of data as a long-term asset Examples of present status, issues and needs in racing data utilization Organizing 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 to improve 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 CloudÐ. 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 Collect Collect Process Process Save Save Edit Edit Output Output Logged data Logged data Tablet Tablet Video Video Race Live Race Live Weather Weather etc. etc. etc. etc. Smartphone Smartphone Computer Computer Smart speaker Smart speaker
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Page 1: Putting racing data to work to improve team performance · 2018-09-07 · Organizing data promptly and accurately, deriving useful results through advanced analysis, and managing

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

Page 2: Putting racing data to work to improve team performance · 2018-09-07 · Organizing data promptly and accurately, deriving useful results through advanced analysis, and managing

(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.


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