‟
Our goal is to implement self-service resources such as
information access based on AI-assisted video.”
Enabling a future-ready airport through
innovation
To fulfill these goals, we began to work with Huawei
to access new technologies and AI innovation
engines.
Huawei and Shenzhen Airport are following
the Platform + Ecosystem strategy to build
a future-ready digital platform. Based on
Huawei’s Information and Communications
Technology (ICT) infrastructure, the two parties
have integrated the Internet of Things (IoT), big
data + AI, video cloud, Geographic Information
System (GIS), and Integrated Communication
Platform (ICP) resources. In partnership with
other vendors, we are building a platform-based
ecosystem in which AI is playing an important
role. For example, AI big data is used for
applications such as knowledge graphs, machine
learning, and natural language processing. AI
vision utilities include facial and human body
recognition, vehicle identification and tracking,
and panorama stitching. The ICT platform is
delivering operational control, security, and
passenger services to the airport:
● ●
Operations control: intelligent and efficient
Aeronautical Operational Control (AOC) and
intelligent resource allocation
● ●
Security: proactive, intelligent security
assurance and collaborative emergency
management
● ●
P a s s e nge r s e r v i c e s: e n d - to - e n d ,
personalised, visualised, connected, self-
service
Intelligent and visualised flight services
The goal of Shenzhen Airport management is to
deliver intelligent, visualised flight services. Jointly
with Huawei, we have spent a year on projects
using technological innovations to improve the
efficiency of airfield operations:
Intelligent stand allocation: Based on big data
and AI, the utilisation of contact stands has been
optimised to reduce the number of passenger
shuttle buses. We have increased the direct
boarding rate by at least 10% , which eliminates
the need for shuttle buses in 100 out of every
1,000 flights and delivers a better experience for
passengers.
Smart airfield ground lighting: Based on IoT
and AI, individual light control, flight path planning,
and conflict detection expedite taxiing before take-
off and after landing. For busy airports, the time
between flight landing to passenger unloading
can be 20 minutes or longer. If this time can be
reduced by 20%, three to four minutes can be
saved for each flight. In scenarios of 1,000 flights
per day, up to 67 hours can be saved in addition
to contributions for energy conservation and
environmental protection.
Visualised ground operations: Video and
AI technologies enable automatic information
collection from IoT-connected sensors embedded
across the airfield. The system conducts
comprehensive computer-vision analytics and
supervisory operations. In the past, all such
activities were done manually, creating a higher
risk.
Delivering an efficient airport experience
Apart from providing intelligent and visualised flight
services, we have also performed joint innovation in
regard to passenger trips. Future-ready airports will
improve travel efficiency and provide better travel
experiences with self-service check-in, self-service
baggage drop-off, multi-layer security checks,
smart Flight Information Display Systems (FIDSs),
and facial recognition for boarding, last calls, and
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