MANTIS | Cyber Physical System based Proactive Collaborative Maintenance


A 50 partner strong consortium funded by ECSEL-JU. MANTIS addressed a proactive maintenance service platform architecture that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. The proactive maintenance service platform architecture consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for transfer bandwidth.

After three years of work, MANTIS partners achieved its objectives, namely:

  1. There exists a MANTIS reference architecture, that has been published in several research papers, which is the principal content of the MANTIS Book (Open Access,, and is already being used by a follow-up H2020 FoF project and partners that continued their own MANTIS implementations.
  2. There exist a number of cyber-physical systems, cloud services and many components of different nature in the plethora of use cases that have validated the MANTIS Maintenance architecture. Those need a clear guidance for interoperability that was provided in the form of Deliverables, and also as Open Access Book chapter.
  3. We learnt how to select the optimal sensors that can provide the wear related information of a specific component, what type of intelligent functions are available to provide higher knowledge level and have validated them. We researched on how to communicate the sensors in challenging environments, even restricting the bandwidth they need to provide information. And more importantly, we made several processes of design, develop, and validation of new sensors to the community. These all have been documented in Deliverables related to the WP3 and also as a Book Chapter.
  4. We proposed, created, described and validated Artificial Intelligence algorithms in the form of algorithm portfolios, so the industry can similarly use or apply them, based on our experience, and the type of data we were facing with. There exist validated examples in most of the 11 use cases of MANTIS. Those apply for Root Cause Analysis, Remaining Useful Life prediction, Failure prediction, Maintenance Optimisation, and collaborative decision making. All available as a Book Chapter.
  5. We made and published a valuable exercise on how different maintenance scenarios can be translated into Human-Machine Interfaces, representing data in different interface types (from Web UIs to AR and VR), that can be interacted with. There are a number of HMIs developed in the project that demonstrate different approaches to Maintenance interaction. All can be learnt from the Book Chapter.
  6. We matured a number of new, Industrial Business Models, and will show the Industry how can a Maintenance Business Model be transformed into an Innovative product and service based Business Model, and what is even better, we were able to generate a model for economic evaluation and quantification of the process of transforming current models into the innovative ones.
  7. All of the Use Cases integrated and most of them validated the technologies created under the same Maintenance Architecture Framework. More than the 80% of all the use-case scenarios were satisfied.
  8. We reached scientific audience with more than 50 research papers, we transferred the MANTIS experience to University students, other Industry and potential customers in Europe (and world) through Fairs, we created audio-visual material and left it open in YouTube, we created plenty of MANTIS related content in the Web that generated more than 38,000 page views, and finally, we made an intense, collaborative effort to publish most of our work, as an Open Access Book called “the MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance”.
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Start date: 01-05-2015
End date: 31-07-2018
Total budget - Public funding: 29 984 905,00 Euro - 9 791 974,00 Euro
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Original description

The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.



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One of the objectives of the MANTIS project is to design and develop the human-machine interface (HMI) to deal with the intelligent optimisation of the production processes through the monitoring and management of its components. MANTIS HMI should allow intelligent, context-aware human-machine interaction by providing the right information, in the right modality and in the best way for users when needed. To achieve this goal, the user interface should be highly personalised and adapted to each specific user or user role. Since MANTIS comprises eleven distinct use cases, the design of such HMI presents a great challenge. Any unification of the HMI design may impose the constraints that could result in the HMI with a poor usability.