“PredictiveBMS” helps preserve art at the Museum of London

In a project of the Co-innovation lab of the Munich University of Applied Sciences, a team of bachelor and master students together with the Museum of London tackled the challenge of introducing predictive maintenance to the museum’s Air Handling Units (AHUs). The “predictiveBMS” application developed in the project uses data from the many sensors in the museum’s AHUs and is able to predict when failures will occur based on the already available data. This addresses the problem of AHU downtime, which can damage the museum’s art in the long run, as the museum can currently only react to failures after they occured as there is no way to predict them at the moment.

Possibility to avoid failures and downtimes of the Air Handling Units

So far, the MoL has not been able to predict failures and defects in its AHUs. The AHUs ensure that the environmental conditions in the museum remain within the set parameters that provide an optimal indoor climate for the artworks and protect them from, for example, temperature fluctuations and humidity-related damage. However, AHU failures occur frequently and can cause damage to the museum’s artworks if they fail for an extended period of time.

Co-Innovation Lab develops “predictiveBMS” to forecast failures in Air Handling Units

To improve workflow and detect damage in advance, the new application “predictiveBMS” was developed  for the AHU maintenance at MoL. Building on the continuously collected data from various sensors in the AHUs, the MoL has taken the opportunity to further develop the smart buildings applications. predictiveBMS is based on machine learning and artificial intelligence and provides the engineers of the MoL with an opportunity  to be proactive, as it is now possible to predict failures and outages of the AHUs. The predictiveBMS system provides engineers with a web dashboard that displays all potential failures and sends alerts for faults that might occur. For on the go, predictiveBMS offers an app that can be used from anywhere and informs about potential outages through push notifications.

Facility managers and engineers are looking forward to integrating the solution into their work processes

“The move to use sophisticated learning, forecasting and prediction models in building maintenance is long overdue. We’re excited at the Museum of London to implement predictiveBMS to predict failures and improve operational knowledge and efficiency. This will be a key piece of Facilities Management software going forward.” – Steve Watson, Technical Building Lead (New Museum)

The Museum of London is striving to be carbon free by 2040

The development of a smart building management system that precisely meets the museum’s needs is intended to help achieve the target. The museum wants to be a pioneer in this field, but also a positive influence on other museums in terms of its public responsibility. Smart building management can save not only costs but also large amounts of greenhouse gasses and help to achieve the net zero emissions target set by the British government. In addition, the construction of the new museum, which is currently being designed, offers great potential to make processes and working methods more efficient. The Director of Museum of London (MoL), Sharon Ament has stated that her aim for the New Museum at Smithfield is to build “a new civic space, that is sustainable, for millions of visitors to enjoy, 24 hours a day”

     Project team: (front from left to right:) Ishak Hagi, Fabian Halbig, Jannis Unkrig. (Back from left to right:)
Jana Caven, Lea Neureither, Kathrin Wetzels, Ana Babovic, Tobias Schwarzer, Pascal Severin

Support through Amazon Web Services for project teams

During the development process of the product, the project team was supported by partners from Amazon Web Services (AWS). Lars Schmitz coached the teams at the beginning of the project in Amazon’s “Working Backwards” approach. An approach in which the customer’s problem is fundamentally analyzed and understood prior to the development phase. This process helped the team to thoroughly understand the client’s problem and thus develop an effective solution.

Dieses Co-Innovation Lab Projekt wurde in Kooperation mit dem Digital Transformation Lab (DTLab) an der Hochschule München durchgeführt:
Das Digital Transformation Lab (DTLab) der Hochschule München widmet sich den großen gesellschaftlichen Herausforderungen unserer Zeit. Zusammen mit Akteuren im öffentlichen Sektor entwickeln Studierende zukunftsweisende Lösungsansätze. Hierbei werden sie von Amazon Web Services mit state-of-the-art Cloud-Technologien und der Innovationsmethodik Working Backwards unterstützt. Wir leben digitale Transformation.

Weitere Informationen über das Co-Innovation Lab und das Digital Transformation Lab (DTLab) an der Hochschule München:

Autoren: Team MOL 1

The voice assistant that gives facility management a refreshing appeal

The Museum of London stores the capital of England’s long history from its settlers to modern times and welcomes over one million visitors each year. To realize its vision of becoming a “smart museum” and making use of resources efficiently, once again in the summer semester of 2022, the Museum of London shakes hands with the University of Applied Science Munich students and works together on another project. Accompanying the museum on the way to achieving its goal, a group of ten students has teamed up and developed a solution to integrate the use of the voice assistant ALLRight into facility management at the museum.

The Vision for 2023

Committed to engaging more people and constantly transforming to be a “New Museum”, knowing exactly where and when a malfunction in the building occurs is of great importance for all stakeholders. Within the scope of the previous cooperation projects between the Museum of London and the student teams at MUAS (Andreas Meuser, Syed Muhammed Ali Raza, Tobias Kuch, Lukas Förner, Simon Meier, Richard Nefzger, Florian Kaiser, Daniel Eberhard, Mai Linh Tran, Florian Horder), the main goal always involved the efficient consumption of resources and maintaining the best environment not only for the visitors but also for the preservation of the historical artifacts.

Hurdles in the way

“Usually, when at work, I was constantly concerned about the museum’s condition. I could not quickly and easily get reliable information about the temperatures and humidities in the galleries. I wanted accurate, reliable, and valid information to know that everything was alright”, John, facility manager at the Museum of London said.” However, with ALLright I feel more confident at getting the information I need at any time. And all that can be done simultaneously while I am working on my desk!” However, facility managers at the Museum of London have been having difficulty in quickly finding out the state of the building. Due to various data points and limited access to these data, it involves an inefficient and time-consuming process to pinpoint the problems with the functionality of the building, as they have to check various systems or ask around to find out what is wrong. Instead of having to go through all these troubles, they want to be granted easy and quick access to insights into the building’s functionality, and the most convenient way to get the information they need is via a voice assistant.

Delivering a valuable solution to solve the client’s problem

The intuitive voice assistant ALLRight was developed as a “Skill” based on the foundation of Amazon’s infamous voice assistant Alexa. It answers the 8 critical questions about the condition of the buildings at the Museum of London and gives information about occurring technical problems. With the voice assistant, facility managers can conveniently get a fast and simple overview of the current state of the building. The special feature of ALLRight is the interaction between it and the user as the skill has been developed to be able to include personalization and naturally converse with users.

“The team has surpassed my expectation!”, the client from the Museum of London, Steve Watson – Technical Building Lead – and John Iaciofano – Facility Manager – are very thrilled about the development of the voice assistant ALLRight from the early days until the prototype is completed.

 “ALLright is an exciting game-changer, which makes accessing building information easy, fun, and reliable.  Managing buildings is all about decision-making and ALLright informs me quickly of the relevant information to support important decisions.  This app is a glimpse into the future of building management”, Steve said. He also added when asked about future implementation potentials, “I see a future where buildings become much better structured at the data layer and then voice assistants will have a very rich source of information and analysis available.  Then I see voice assistants becoming more adept at natural language and also having a back-end learning capability that improves with specific buildings, their datasets, and their interactions.”

Dieses Co-Innovation Lab Projekt wurde in Kooperation mit dem Digital Transformation Lab (DTLab) an der Hochschule München durchgeführt:
Das Digital Transformation Lab (DTLab) der Hochschule München widmet sich den großen gesellschaftlichen Herausforderungen unserer Zeit. Zusammen mit Akteuren im öffentlichen Sektor entwickeln Studierende zukunftsweisende Lösungsansätze. Hierbei werden sie von Amazon Web Services mit state-of-the-art Cloud-Technologien und der Innovationsmethodik Working Backwards unterstützt. Wir leben digitale Transformation.

Weitere Informationen über das Co-Innovation Lab und das Digital Transformation Lab (DTLab) an der Hochschule München:

Autoren: Mai Linh Tran

gridX stands for sustainability

As part of the Co-Innovation Lab at Munich University of Applied Sciences, eleven students are helping gridX to demonstrate its commitment to sustainability to the public. The interdisciplinary project team lays the foundation for a transparent sustainability commitment of the company.

The topic of sustainability is becoming increasingly relevant in all areas of life. It is therefore also important for companies to commit themselves to sustainability – especially since sustainability commitment is playing an increasingly important role in the battle for applicants. Companies face the challenge of transparently communicating their environmental, social and economic impact. Currently, it is difficult for job seekers to find information about the sustainable commitment of potential employers. But especially in the current war for talents, companies need to transparently communicate their attractiveness as an employer to the outside world. gridX has recognized this need for action and wants to become active by integrating a sustainability dashboard on the company website.

In the period from March to July 2021, eleven interdisciplinary students from Munich University of Applied Sciences, supported by their coach Prof. Dr.-Ing Holger Günzel (and the other event participants Prof. Dr. Lars Brehm, Prof. Dr. Johannes Ebke, Hans-Jürgen Haak and Lars Schmitz), designed and developed a prototype for an innovative sustainability dashboard for the company gridX – a startup that aims to make a long-term contribution to the energy transition with its products. From the company side, Henry Thierhoff, employee in the Business Intelligence & Marketing department, cooperated with the students and reports enthusiastically about the result of the project: “Especially as a greentech company, it is important for us not only to develop sustainable products, but also to act sustainably as a company. The dashboard helps us to communicate our commitment transparently and we hope to attract new employees who will join us in driving forward the energy transition.”

By implementing the Sustainability Dashboard, gridX is able to stand out from the competition as an employer by displaying all relevant sustainability performance in a bundled, transparent and understandable way in one place on the website.


This Co-Innovation Lab project was carried out in cooperation with the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences:
The Digital Transformation Lab (DTLab) at Munich University of Applied Sciences is dedicated to the major social challenges of our time. Together with stakeholders in the public sector, students develop forward-looking solutions. They are supported by Amazon Web Services with state-of-the-art cloud technologies and the Working Backwards innovation methodology. We live digital transformation.

More information about the Co-Innovation Lab and the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences: