Community Research and Development Information Service - CORDIS

H2020

MANTIS Report Summary

Project ID: 662189
Funded under: H2020-EU.2.1.1.7.

Periodic Reporting for period 1 - MANTIS (Cyber Physical System based Proactive Collaborative Maintenance)

Reporting period: 2015-05-01 to 2016-04-30

Summary of the context and overall objectives of the project

MANTIS is addressing 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 will consist of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for transfer bandwidth.

Vision and grand challenges
Our vision is to enable collaborative maintenance ecosystems by cyber physical systems. The grand challenges are developing new smart sensors and actuators, a service platform architecture for collaborative maintenance, intelligent algorithms and human-machine interaction to integrate with other existing technologies and tested in laboratory environment first and validated in four industrially relevant environments after.

We assume that a service-based approach will be the feasible technology that enables collaborative maintenance in an open-network environment connecting many cyber physical systems.

The success of MANTIS technology depends not only on the technology but also on the capability to create and pursue innovations supported by the core of our technology. If successful the approach is expected to strongly contribute to the generation of new business models based on maintenance serivitization of the products and assets that Partners sell or use and maintain.

The objective of the MANTIS project is to address the technical and applicative challenges associated to collaborative maintenance:
• Provide a technical framework adapted in terms of functions and performances
• Implement and evaluate the collaborative maintenance through real experimentations in four applicative domains: production assets, vehicles, energy production and health equipment
• Point out the accessible innovations thanks to new services
• Lead the way to further standardization work

The strategy adopted in the project has four major dimensions:
• An innovation strategy based on business and technology gap analysis paired with a market implementation strategy based on end users priorities and long term technology strategies
• Application pilots where technology demonstrations in real working environments will be made
• A technology framework enabling collaborative automation and closing innovation critical technology gaps
• An innovation coordination methodology for complex innovation “orchestration”

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

"The MANTIS project started on May the 1st 2015 with duration of three years. After twelve months, the MANTIS service platform architecture requirement definition, as well as a precise use case description has been elaborated. This work has guided the generation of the first draft of the MANTIS ARM (Architecture Reference Model), which is provided as a generalized architecture that can be specialized to many different domains, thus ensuring interoperability with legacy, current custom and commercial off-the-shelf, as well as future systems. Its role is to provide guidance on how to instantiate an architecture for a particular MANTIS domain or specific MANTIS task or use case. In other words, the nature of the MANTIS platform is a hyper platform that allows connecting smaller ecosystems on different platforms into a larger one, rather than one concrete technology platform.

While the MANTIS service platform architecture keeps shaping and evolving, there co-exist three technical areas of development: (i) Sensors, (ii) Decision Making and (iii) Human Machine Interfaces have been selected, defined and are being prototyped in order to demonstrate that can meet the requirements, even if still not integrated in the MANTIS service platform.

(i) There is a wide variety of processes that are under consideration in the MANTIS consortium. All these processes have different characteristics and therefore require different types of sensors. This resulted 83 sensors listed, from which 39 sensor have to be developed during this project. These sensors can be divided in 35 physical sensors and 4 soft sensors. From the physical sensors some can be bought ""of-the-shelf"", other sensors have to be specially developed and require additional research. From this list, it can be concluded that there is already a wide variety of sensors in place among the different use cases. In addition, the to-be-developed sensors are listed. From this can also be concluded that the commonalities among the sensors is low.
(ii) Regarding the decision making, the consortium has worked towards identifying how to position Root Cause Analysis in a condition-based maintenance system and the flow of information in such a system, including the processing steps that are taken in data analysis. We have also worked on a non-conclusive list of possible data analysis techniques and algorithms based on the available State of the Art. Wear-out models to predict remaining life time has also been approached and reported. Consortium has made a first approach to identify and develop methods for forecasting the lifetime of an asset by modelling its operational dynamics and by extrapolating this data into the future. When the extrapolated data reaches a certain threshold that marks the end-of-life of an asset, that point in time can be used as the forecasted remaining useful life. Simultaneously, the extrapolated data gives an indication of the expected wear and tear, which can be compared with the observed wearing out to monitor the behaviour of an asset. Based on the predicted remaining lifetime, suitable maintenance tasks can be planned, in order to prevent unscheduled system down time.
Finally, asset failure prediction prototypes have been developed, in order to reach some preliminary conclusions about next actions required in order to make them applicable to final production systems.
(iii) HMI is still a work in progress package for this period, with very few time to provide results.

These technical work packages will interact with each other in a service oriented MANTIS architecture in the next periods, and will be validated in the Use Cases that are an important part of the MANTIS project."

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The MANTIS developments and definitions have taken more than 50 standards into account in order to start from an state of the art position, and progress beyond it in the next periods. However, MANTIS has given the first grounds towards the Proactive Maintenace. Nowadays predictive maintenance scenarios seem to be the most advanced ones, but MANTIS has started to build further concepts, where proactivenes is achieved with maintenance strategy optimization, as well as root cause analysis, with special attention to how the maintenance operators will interactiate with the equipment that needs attention.

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