“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

Paths to the Future at Leop. Siegle: From Process Improvement to Cultural Change

The Co-Innovation Lab supports Leop. Siegle GmbH & Co. KG in Augsburg in optimizing its internal processes and lays the foundation for further digitization activities.

Virtual final presentation: The project team Martin Flöß (1st from top), Benedikt Fischer (3rd from top) and Anara Abylova (5th from top) present the results of the project to Prof. Holger Günzel (2nd from top), Christian Ultsch and Christopher Ultsch (3rd from top).

With several thousand different products, the company Leop. Siegle GmbH & Co.KG, as a medium-sized technical wholesaler in the field of rubber, plastics, industrial safety and environmental protection, has a very large stock. Numerous packages enter and leave the company every day. To improve internal logistics, companies often use warehouse management systems. Efficient use is only possible if existing processes have been analyzed and optimized in advance.

Leop. Siegle GmbH & Co. KG expects great added value in the digitalization of its logistics processes and the warehouse management system derived from them. For this reason, Anara Abylova, Benedikt Fischer and Martin Flöß, three students at Munich University of Applied Sciences and part of the Co-Innovation Lab, worked on optimizing the goods processes with coaching from Prof. Holger Günzel. It quickly became clear that long-term change management would be necessary to enable the cultural change that comes with digitization.

The team’s proposed solutions were well received by Leop. Siegle. “The consulting team did an excellent job. Thanks to the team’s work, we now have not only short-term “hands-on” solutions, but also a long-term solution that will definitely help us move forward,” Christian Ultsch, member of the management board, is enthusiastic. With their project, the consulting team has created a basis on which Leop. Siegle can build in the future. Christopher Ultsch, assistant to the management, is also satisfied with the result: “Optimizing deliveries to our customers, that was our goal! We are highly satisfied with the work of the team. We had a very good collaboration and will be happy to draw on the expertise of the Co-Innovation Lab in the future as well.”

Promoting digital skills in the social sector

The Co-Innovation Lab is developing an innovative competency model for measuring and expanding employees’ digital competencies for Franziskuswerk Schönbrunn gGmbH.

Presentation of the project results by the Co-Innovation Lab consulting team to the client Franziskuswerk Schönbrunn in December 2020. Participants from top left to bottom right: Miriam von Meyeren (HM), Prof. Dr. Holger Günzel (HM), Johannes Bahl (Head of Education and Consulting, Franziskuswerk Schönbrunn), Julian Speidel (HM), Sandra Pavleka (HM) and Thomas Raudzus (Head of Organizational Development and ICT Services, Franziskuswerk Schönbrunn) Photographer: Miriam von Meyeren

The change processes triggered by digital technologies offer companies in all sectors a wide range of optimization opportunities. The expansion of digital solution approaches represents great potential for more effective use of the limited time resources of personnel, especially in the social sector. The digital skills of employees play a decisive role in the successful implementation of digital solution concepts. The social enterprise Franziskuswerk Schönbrunn gGmbH would like to expand precisely these competencies within its organization with a digital competence model and an associated innovative training concept and has commissioned the consulting team of the Co-Innovation Lab to develop the concept.

Digitization of administrative processes as a strategy for the future   
Franziskuswerk Schönbrunn is a non-profit institution for living, learning and working for people with intellectual disabilities. Since its founding in 1861 by Viktoria von Butler, the mission of the sisters, caregivers and employees working there has been to provide an inclusive and barrier-free social space for people with disabilities. The organization’s strategic goals for the future include the digitization of administrative processes through the use of digital applications, such as an electronic documentation system in care and administration. This is intended to relieve employees in their day-to-day work and increase time capacities for the facility’s residents. From the client’s point of view, this initially requires the acquisition and expansion of digital competencies of the employees through a creative training concept that is based on the blended learning concept.

Using an agile creative process to create a customized competency model to promote digital skills among employees
The team of consultants consisting of Julian Speidel (project manager), Sandra Pavleka (consultant) and Miriam von Meyeren (consultant) received approval for the project assignment from the clients of Franziskuswerk Schönbrunn Thomas Raudzus (head of organizational development and ICT services) and Johannes Bahl (head of education and consulting). Based on the initial situation, the Co-Innovation Lab consultants presented a concept idea to the client. “Due to the pandemic, our collaboration was appropriate to the topic, purely digital (web conferences, digital project room), highly effective and yet always personally approached” explains Mr. Thomas Raudzus from Franziskuswerk Schönbrunn.

The three-month project resulted in a digital competence model tailored to Franziskuswerk Schönbrunn, which consists of seven dimensions and four degrees of competence. Based on the competency model, the consulting team developed a questionnaire that the client can use to determine the competency levels of employees in the sense of a location assessment. In order to expand the digital competencies, additional requirement profiles were created to define target values. In the future, the client will be able to use a developed tool to independently perform variance analyses of employee digital competencies in order to use these as a starting point for determining employee learning paths. With the training concept developed and the forms of training it contains, which are differentiated according to competence levels and stages, Franziskuswerk Schönbrunn can promote the development of digital competencies among its employees on an individual basis.

Satisfaction with the project results delivered can be described in the words of Mr. Thomas Raudzus as follows: “Our co-innovation team delivered custom-fit concepts, tools, and valuable impetus for planning and implementing a “digital competencies” PE concept for our company in the field of integration assistance. We will benefit greatly from this.” As a thank you to the consulting team, Wichtel clay figures handmade by residents in the Schönbrunn workshop were handed over.

Wichtel clay figures of the Franziskuswerk Schönbrunn. Photographer: Sandra Pavleka

Automatically clean!

In collaboration with the Abfallwirtschaftsbetrieb München (AWM), students from the Munich University of Applied Sciences have developed a business case as part of the Co-Innovation Lab to automate the manual cleaning of mobile waste compactors.

Mobile waste compactors have become an indispensable part of German waste management operations. They are used not only at recycling centers but also at major events such as the Oktoberfest. The advantage of these compactors is that waste and recyclables can be compacted more efficiently. The space saved during storage and transport enables economical and environmentally friendly disposal.

As part of the project, the consulting team of the Co-Innovation Lab at Munich University of Applied Sciences cooperated with “Kea Robotics” . The startup from the Technical University of Munich (TUM) specializes in the development of modular robots. Automating the cleaning process would relieve the employees of the waste management service provider AWM, as the robot would take over the manual, repetitive and physically demanding cleaning using a high-pressure cleaner.

Gerald Stutz (Head of Innovations and Projects at AWM) was extremely satisfied with the cooperation with the Co-Innovation Lab and the results of the project: “Technical, organizational and business aspects were intensively examined. As a result, the work result represents a good basis for further planning in this area.

In collaboration with Gerald Stutz and Roman Hölzl (co-founder & managing director of Kea Robotics), the three student consultants of the Co-Innovation Lab Amel Fazlovic, Philipp Rathke and Florian Zinsbacher – with coaching from Prof. Holger Günzel – prepared a decision document that shows AWM whether the robots are suitable for use in the cleaning process. The decision paper confirmed a basic technical feasibility and shows financial cost advantages that can be achieved by automating the process.

Digitizing Munich’s Used Clothing Drives – The Co-Innovation Lab Makes Recycling Fit for the Future

Students at Munich University of Applied Sciences are paving the way for digitization in municipal used clothing collection and enabling plannable recycling with the help of the Internet of Things and artificial intelligence.

Munich: Students in close contact with the collection of old clothes. If you want to achieve change and sustainability, you have to enter the field of the current situation yourself. Marlene Piper during her accompaniment of the old clothes collection.

As part of a student consulting project of the Co-Innovation Lab at the Munich University of Applied Sciences, an interdisciplinary team of students developed a holistic concept for emptying used clothing containers at the Abfallwirtschaftsbetrieb München (AWM) in line with demand. The aim was to optimize the previously rigid emptying schedule, which takes into account the respective emptying requirements of the containers, and thus to improve the quality of the clothing and make more efficient use of existing resources. The focus was thus on moving toward digitization with the help of the Internet of Things (IoT), thereby creating data-based, demand-driven planability with a digital planning tool.

The team consisted of students from three degree programs at Munich University of Applied Sciences and was divided into a consulting team consisting of Mahboob Elahi Noor, Gilbert Muhumuza and Marlene Piper and a development team consisting of industrial engineering students Agnesa Xhemaili, Majlinda Sllamniku and Stefan An. Prof. Dr. Holger Günzel and Prof. Dr. Olav Hinz assisted the team as coaches.

The client Rudolph Schmid (department head of bulky waste and depot container collection AWM) was impressed by the solution that was finally presented: “From the department’s point of view, all requirements for the project, which was presented in an exciting presentation, were exceeded.”