Report
Teaser, summary, work performed and final results
Periodic Reporting for period 2 - MANTIS (Cyber Physical System based Proactive Collaborative Maintenance)
Teaser
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...
Summary
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 “orchestrationâ€
Work performed
\"The MANTIS project started on May the 1st 2015 with duration of three years. After second year, the MANTIS service platform architecture is in its second version. Requirements guided the generation of the first draft of the MANTIS ARM (Architecture Reference Model), which was provided as a generalized architecture that could 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 was to provide guidance on how to instantiate an architecture for a particular MANTIS domain or specific MANTIS task or use case. The project has now achieved a sufficient maturity level, after the first year’s bottom-up-bottom approach of identifying the use case needs in the several technological areas to design broad enough scientific contributions to cope with their needs towards a generalist Maintenance Reference Architecture. This last continues its growing tendency, and constitutes the basis for the final reference architecture to help greenfield use cases.
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.
(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. The definitive list of sensors that gather the data from monitoring components is set, and most of the Use Cases are already using this data to monitor asset wear and failures. A catalogue for intelligent functions that transform the monitored signal into uniform and meaningful digital data is shared among participants, and both bandwidth use optimization and networking in challenging environment techniques are being developed.
(ii) Regarding the decision making, the consortium 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 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 was also approached and reported. Consortium 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. Based on the predicted remaining lifetime, suitable maintenance tasks can be planned, in order to prevent unscheduled system down time. After two years, the decision-making functionalities present a taxonomy of intelligent algorithms that can be used for the different functionalities planned in the project. This taxonomy will easy the selection process depending on the problem they aim to solve, the context they operate with, and the data types they need to manage
(iii) HMI team has been working on the MANTIS HMI prototype, that can seamlessly connect to most of the use cases thanks to the interoperability approaches developed. The usability tests for the prototype is defined and advanced visualization techniques are being developed.
From a business perspective, a set of new business models CANVAS have been defined for each of the use cases. Exploitation results shall be related to the business models, so models’ economic evaluation can be realistically made. MANTIS is reaching end users, with a with a proactive appearing in web, social networks, scientific events, and many other formats.
By the time th\"
Final results
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 Maintenance. Nowadays predictive maintenance scenarios seem to be the most advanced ones, but MANTIS has started to build further concepts, where proactiveness is achieved with maintenance strategy optimization, as well as root cause analysis, with special attention to how the maintenance operators will interactuate with the equipment that needs attention.
Website & more info
More info: http://www.mantis-project.eu/.