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Splunk at Gatwick Airport: From Road to Runway, how we use Business Analytics and Cloud to improve operations

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Progressing passengers from “road to runway” is no simple task. With multiple processes and checks along the way, bottlenecks can easily occur as peak time numbers surge. Yet Gatwick Airport has tackled these passenger pinch-points by using IoT sensors and data monitoring software to make the passage to flight significantly more efficient.

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Splunk at Gatwick Airport: From Road to Runway, how we use Business Analytics and Cloud to improve operations

  1. 1. Road to Runway From with
  2. 2. Alex Webber IT Development Specialist | Gatwick Airport Paul Bannister IT Development Specialist | Gatwick Airport
  3. 3. The most efficient single runway airport in the world Over 200 destinations in more than 90 countries around the world 46 million passengers each year on short and long haul services Over 120,000 passengers travelling through every single day Up to 55 air traffic movements per hour at peak
  4. 4. From Road to Runway
  5. 5. TERMINALS & AIRSIDE The Challenge • ~120k passengers a day in both terminals • Inability to fully plan in event of disruption - • Overcrowding challenges Data Available • Airfield Operational Database • Xovis Sensors • M-flow Track and Journey • Scada Baggage System • SAC Heavy Forwarder Baggage UF Cloud Indexers Xovis Sensors DB Connect M-flow Cameras Stored Procedure
  6. 6. SECURITY The Challenge • Heavily regulated – CAA queue targets • OPEX Heavy – Efficiency is vital • Replacing old legacy systems Data Available • SEMS X-ray data • Xovis Sensors • M-flow Track and Journey • Net ID – AMD database • Forecast data • ANPR Heavy Forwarder Server UF Cloud Indexers M-flow Cameras Stored Procedure X-rays DB Connect
  7. 7. Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Officer Name Manager Name
  8. 8. AIRFIELD The Challenge • 55 air traffic movements an hour – Efficiency is key • Late departures carry huge cost – On time performance a KPI • Third party handling agents play big role Data Available • Airfield Operational Database Heavy Forwarder AODB Cloud Indexers DB CONNECT
  9. 9. Other Use Cases
  10. 10. SPLIDS The Challenge • FIDS (Flight Information Displays) are cloud based • Loss of internet results in P1 • Manual updates only option Data Available • Airfield Operational Database
  11. 11. © 2019 SPLUNK INC.
  12. 12. CALL FORWARD • Loading (divest) stations require constant feed • Resources required elsewhere • Trialled a third-party solution • Already consuming sensor data • We need to control the content • Can be expanded to queue areas Data Available • Xovis Sensors
  13. 13. © 2019 SPLUNK INC.
  14. 14. Q&A Alex Webber | IT Development Specialist Paul Bannister | IT Development Specialist

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