Munich Airport has partnered with Siemens to work on the future digitalisation of the airport.

The partnership aims to improve the energy efficiency of airport buildings, as well as the logistics for the baggage handling system.

Munich Airport and Siemens plan to employ data analytics, Internet of Things (IoT) technologies and artificial intelligence to enhance airport services. Additionally, the companies hope using these tools will help make traveller’s waiting time more pleasant.

Siemens managing board member and chief technology officer Roland Busch said: “For airports, in particular, digitalisation offers great opportunities for optimising operations.

“For airports, in particular, digitalisation offers great opportunities for optimising operations.”

“That’s why we, as the worldwide market leader in industrial automation and digitalisation, are cooperating with Europe’s only five-star airport.”

As part of the agreement, Siemens will act as a developmental partner for LabCampus, a major project for the airport’s digital future.

LabCampus is Munich Airport’s new innovation centre, where companies, start-ups, universities and research institutes will collectively work on new technologies.

At this cross-disciplinary facility, Siemens and Munich Airport will work to create new, innovative solutions, including mobility and energy management, as well as safety and security.

Currently, Siemens is focusing on five areas: intelligent guidance of passenger flows, seamless tracking of luggage, buses besides predictive maintenance for, and operation of, systems such as the baggage handling and building technology.

To aid digital transformation, Siemens is implementing its open cloud-based operating system MindSphere for the Internet of Things (IoT). It can be used to develop and operate new apps and digital services.

The new technology enables the quick collection and analysis of the immense amounts of data that are generated at the airport. Individual data silos are connected together in this way, and information for later optimisation efforts is derived from these sources.