Robotics and Intelligent Applications for Smart Airport Ir Alex - - PowerPoint PPT Presentation

Robotics and Intelligent Applications for Smart Airport

Ir Alex Kwan, Executive Director Engineering and Technology, HKAA

2016 – A Record Year

152% 146% 178%

1998 2016 1998 2016 1998 2016

Passenger Traffic Cargo Throughput Air Traffic Movement

28.6 70.5

10 20 30 40 50 60 70 80

millions of passengers

1.63 4.52

1 2 3 4 5

millions of tonnes

163 412

100 200 300 400 500

thousands

Vibrant Grow th Will Continue

Passenger Traffic Cargo Throughput

OBOR: What does it mean to HKIA?

Increase Demand in Handling Capacity for both Passenger and Cargo Traveller Diversity and More Challenging to upkeep passenger experience

Increase

Handling Capacity

Through infrastructure expansion

The 3RS

An Annex of Terminal 1

7

Annex Building

• An additional check-in aisle with 48 counters,

auto bag-drop and other facilities

Departure L7

Intermodal Transfer Terminal

Enhance

Passenger Experience

Through technology & innovation

And at the same time increase handling capacity as well

1998 - 2000 2001-2004 2010-2011 2014-2016 Data Sharing RFID Go Online Wireless Mobile Biometrics GPS Self Service Operational Intelligence Interactive Collaborative Decision Making Video Content Analytics Personalization 2008-2010 2004-2007 2012-2013 Fast Travel

Flight Re- scheduling System RFID Tag Wireless Marshalling Deployment Mobile boarding pass Terminal Free WiFi Immigration e-Channel Biometrics for staff My Flight CDM Phase 1 CUSS Self Bag Drop Trial Real-time AODB Data link with CX/CAD Online check-in iCheck-in Agent Stack@Ease Trial Personal FIDS Home-printed Bag Tag FOD Detection

Technology and Innovation in the Past

HKIA Technovation Board

Technovation Board HKIA Innovation Centre Airport Technology Advisory Council Future Airport Taskforce

Engage Airport Community Technology Input & Support Proof-of-Concept Steer and Drive innovation & technology development

Established since 2015 to drive innovation and technology development

Smart Infrastructure is the Foundation

Physical Infrastructure Digital Infrastructure Data Management/ Analytics

BIM/GIS enabled Asset Management IoT Enabled Smart CCTV Coverage Next Generation Wireless Integration Big Data Analytics Intelligent Energy Management Intelligent Autonomous Systems Smart Collaboration

10 Key Strategies on Smart Infrastructure

Smart Maintenance

BIM/GIS enabled Asset Management IoT Enabled Smart CCTV Coverage Next Generation Wireless Integration Big Data Analytics Intelligent Energy Management Intelligent Autonomous Systems Smart Collaboration

Robotics is a key enabler

Smart Maintenance

Robotics Use Case – Assist Human

RFID Label Affixing Robotics

Robotics Use Case – Supplement Human

Robotics Use Case – Interact with Human (Humanoid)

Timmy – Our First Robot Ambassador

Robotics Use Case – Interact with Human (Chatbot)

HKIA Virtual Customer Assistant (to be launched soon)

Outdoor Driverless Vehicle

Driverless Tractor Driverless Shuttle Autonomous Dolly

• Common Base Platform with Multiple

Personalities such as Patrol, Delivery, Customer Services, …

• Human Assisted AI (AI + Human) to enhance

usability when needed (e.g. customer service)

• Collective and Shared Robotic Learnings

Multi-Purpose Indoor Autonomous Platform

Target Initial Plan

• In-Terminal patrol for environmental

data collection and facilities monitoring

Intelligent and Robotic Trolley Management

Better manage re-circulation through technology

Trolley Availability Management Autonomous Trolley Collection

Robotics for Baggage Handling

RFID Label Affixing

Adopt Industry 4.0 Concept

Robotic Loading/ Unloading Industrial IoT (Self Diagnostics and Alert) AGV for Baggage Handling

Intelligent Inspection

Runway Inspection by Drone Satellite Monitoring of Settlement Pavement Inspection by Laser AGL Inspection by Image Analytics

Airport Infrastructure & Systems Data Airport Operational Data Social Media External Data Biz Insights Retail Performance Airport Retail Data Operation Efficiency & Performance Dashboard

Intelligence from Big Data

Building Energy Management Analytics at NSC

• Cloud based system, with analysis done by MIT professionals
• Already proven in other campus environment (e.g. university, aquarium, enterprise campus)
• Algorithm can be fine-tuned easily to suit HKIA
• Achieved $200,000 electricity saving in 6 months

Predictive Maintenance of Baggage System Asset Management History Analysis using Watson AI Analytics Passenger Behaviour Analytics for Retail

Other Examples…

Together we create a smarter travel experience for the world