Home Baggage Handling Technology Data Analytics for Baggage Handling

Data Analytics

Airport operations generate an increasing amount of data from an expanding number of sources. One area in particular that can provide essential operational information is the baggage handling system, but data is only useful if it is analysed and understood properly.

Data Management

Understanding and working with data are extremely valuable tools. This is particularly important in view of the baggage handling system’s key role in for achieving shorter connection times, handling an increasing number of passengers and delivering a superior passenger experience in an environment with increased dynamics.

These are among the drivers that put pressure on how a baggage handling system is maintained, operated and managed. With this in mind BEUMER Group has established a data warehouse to which data is streamed in real time from a growing number of sites.

Features

Real time dashboards
Customisable
Central data storage
Broadened learning perspective
Abnormality detection
Trend detection

Predictive and prescriptive maintenance
Supporting operational decisions
Enabling data-driven asset management
Visualisations tailored for specific roles and/or focus areas
Moving from ‘What we think’ to ‘What we know’.

Insights in system performance

By use of today’s tools for big data mining, streamed data can be enriched and filtered to secure the quality of the data, which is aggregated and prepared for simple visualisation. This type of data mining not only provides insight into the current performance of a baggage handling system, but also enables the build-up of a historical record for future investigations and learnings across a number of systems.

Predictive and prescriptive

At BEUMER Group we have worked with data for a number of years and have used these learnings to extend our services to the predictive and prescriptive level. BEUMER’s digital capability offers a growing suite of data-driven services to enable employees at the maintenance, operational and management levels to make better informed decisions.

Beumer group’s suite of digital services

Alarm – supervision of logs and detection of abnormalities to alert the BHS operator
Prediction – predictive maintenance.
Digital twin – a real time visual representation of the BHS.
Vision – image classification.
Optimisation – data driven approach to system optimisations