Bigarm Engine

Overview

In collaboration with the Hong Kong Polytechnic University, LSCM developed a Big Data-Driven Airport Resource Management (BigARM) Engine to provide support for efficient and smart airport resource management. The application can balance the usage of reclaim belts in the Hong Kong International Airport and reduce the baggage collection time.

  • Bigarm Engine 0
  • Bigarm Engine 1
Research completion
2021
Commercialisation opportunities
Technology licensing
Problem addressed

In order to reduce delivery stoppage caused by reclaim belt congestion, and thereby enable speedy baggage collection by the passengers. This project utilises BigARM to work out the optimal allocation of reclaim belts to arrival flights with the load of incoming baggage spreading evenly among the reclaim belts at all times.

Innovation
  • The big data related to airport resource management is heterogeneous. They are stored in SQL and NoSQL databases based on their structures, and feature learning methods are applied to extract useful features for further analysis.
  • Feedforward neural network is used to make prediction on unknown factors and detect emergency events; optimal allocation and reinforcement learning algorithms are devised to generate intelligent resource allocation plans.
  • Application tools including visualisation tools and analytic tools are used to show statistics and analytic results on reclaim belt allocation at the Hong Kong International Airport.
Key impact
  • Improve the dynamic adjustment of resource allocation plan by exploiting hidden patterns from historical airport big data to make a more accurate, informed and smart resource allocation plan.
Application
  • Reclaim Belt Allocation and loading balance
  • Resource management in Airport and other industries, such as logistics and transportation
Logistics and Supply Chain MultiTech R&D Centre (LSCM)

Logistics and Supply Chain MultiTech R&D Centre (LSCM) was founded in 2006, with funding from the Innovation and Technology Fund of The Government of the Hong Kong SAR, and is co-hosted by the University of Hong Kong, the Chinese University of Hong Kong and the Hong Kong University of Science and Technology. It aims to strengthen the local logistics sector and related industries by providing a one-stop resource for applied research and technology transfer, and to reinforce cooperation between the industry and research institutes to bring about meaningful and significant impact on the industry and the community. 

LSCM serves the industry by initiating research projects, contract research, as well as providing business matching opportunities, technology transfer and intellectual property commercialisation. LSCM initiates technology and knowledge transfer to the marketplace to promote industrial digitalisation, facilitate technology advancement and strengthen Hong Kong’s position as a leading logistics and commercial hub.

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