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Sports verified Verified Outcome TRL 9

Digital Twin for Remote Race Operations

domain Client: Tour de France Organizer handshake Provider: NTT Data (Dimension Data) schedule Deploy: Q3 2023 (Event)
86 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Operating in remote mountain environments without fixed infrastructure, the organizer creates a 'Digital Twin' of the entire race. IoT sensors under rider saddles transmit location/speed via a mesh network to helicopters, then to a containerized edge data center. This powers live broadcast graphics and predictive 'catch the break' analytics.

rate_review Analyst Verdict

"An extreme edge computing use case. Demonstrates how to build reliable telemetry networks in hostile, non-static environments. The ability to predict race outcomes (e.g., 'Will the peloton catch the breakaway?') has transformed the broadcast product."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The 'stadium' is a 3,000km moving road often in cellular dead zones (Alps/Pyrenees). Broadcasters had no real-time data on rider gaps or individual performance, relying on manual timing motorbikes which were error-prone.

psychology The Solution

NTT deployed a mobile edge computing solution. Each bike has a GPS/RF tracker. Data hops via mesh to TV relay aircraft, then to a 'Big Data Truck' at the finish line. A Digital Twin virtualizes the race state, feeding APIs for broadcasters and mobile apps.

settings_suggest Technical & Deployment Specs

Integrations
Broadcast Graphics, Official App
Deployment Model
Edge / Hybrid Cloud
Data Classification
Telemetry
Estimated TCO / ROI
Medium (Partnership)
POC Summary (2015-07-01 to 2016-07-01)

"Initial pilot started in 2015."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Connectivity Loss Medium Local buffering on sensors; redundant radio paths.
Interference Low Reserved RF spectrum usage.

trending_up Impact Trajectory

Audited value realization curve

Tracking of 176 riders in real-time over 3,400km Verified Outcome
Primary KPIData transmission latency <2 seconds
Audit CycleProcessing of millions of data points per stage

policy Compliance & Gov

  • Standards: UCI Regulations
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Telemetry

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Tour de France Organizer without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-784
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-784

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