Beluga: The Ikusi Airport Management Proposal

By Erwin Zapata, Product Manager JULIO 2019

Optimizing operations and allocating resources are critical for the efficient use of an airport’s capacity. Despite planning, changes are the general tenor of everyday operations, for which airport management automation provides operator support in the strategic as well as the pre-tactical and tactical phases in order to adopt the best solutions.

Ikusi has its own airport management solution, Beluga, which is composed of two main modules. The AODB module is the central database where all the relevant airport data are stored. It is the module charged with centralizing and providing accurate, systematic and updated information to all airport agents.

On another front, the Beluga RMS module determines best resource allocation. Taking account of airport flight schedules, it offers a complete plan in advance for a day or an entire week of operation, sharing data on the status of airport resources.

The combined action of both modules enables airport managers to coordinate flights with multiple resources such as aircraft stands, boarding gates, check-in counters, passenger shuttles, luggage belts, passenger boarding bridges, etc.

Increasing Automation in Operations

However, there are always factors that make operations seem more complicated to automate. For this reason, Ikusi has continued to work on Beluga, endowing the application with a greater degree of intelligence. For the purpose, a GIS module has been integrated, making it possible to know the operational status of airport resources using a geographic display, with notification of occupancy levels and the operations scheduled for each resource. In addition, the REPORTS module – apart from the option of customizing reports to be extracted from the system – provides pre-defined reports for the evaluation of airport performance and enables the recording of resource time of use for airline billing.

The latest version of the Beluga solution has already been implemented in airports such as those of Iquique and Concepción, both in Chile. Apart from the modules described, the Ikusi solution has included an algorithm that, based on machine learning and big data techniques, is capable of totally automating stand allocation (aircraft parking on the platform), covering the most difficult cases to fit in.

This all takes place in a dynamic context where the solution monitors the whole process in real time and proposes optimal alternatives for the use of capacity to airport managers.

Ikusi continues to build smart airport ecosystems, where information is constantly shared, processed and integrated to guarantee timely and appropriate collaborative decisions, planning is improved, and resources are optimized.