Instead of relying solely on calendar-based schedules, airports can now use real-time insights from latest sensor technology, data-gathering techniques and machine learning to make smarter decisions about when and how to maintain their assets.
Let’s open our data-driven toolbox to see what maintenance is on offer.
Airports can use information from various sources, such as local starter motors (LMS), internal data or external sensors fitted to thousands of assets on the BHS.
This data is fed into a data analysis process that harnesses machine learning algorithms. The approach is applied to each asset, helping to gauge its normal behaviour over time. Using the information, the algorithm can also detect when the asset starts to deviate from its expected performance.
Once the analysis is complete, the important information – including any anomalies – can be visualised using a dashboard. And if anything is detected, alerts can be sent automatically to the maintenance team, enabling proactive intervention.
The priority for airports is to give their passengers a seamless journey – every time. When it comes to the BHS, even minor disruptions can have a big impact on service.
That’s why reliable and worry-free maintenance strategies are required.
With predictive maintenance, airports can:
Predictive maintenance is a great advancement, but it’s not a one-size-fits-all solution. It works best as part of a broader maintenance strategy that meets the unique needs of each airport. That’s why we don’t rely on predictive maintenance alone. Instead, we select the most suitable options from our data-driven toolbox for a holistic and high-value maintenance approach.
To determine the right mix, it’s important to consider factors like asset criticality, system design and effort required to perform maintenance. For example, if a critical asset is in a hard-to-reach place, it’s usually well suited to predictive maintenance.
Combined with close customer collaboration and insights from our installed base, this allows us to build a holistic strategy that balances performance, reliability and value.
Predictive maintenance already offers airports powerful insights to stay ahead of potential issues, helping to reduce disruptions and improve operational reliability. Looking ahead, the next evolution is prescriptive maintenance. Here the solution predicts failure and identifies the likely cause, before recommending the best course of action. Having such information will make every BHS even more reliable and efficient – leading to even more predictable operations.