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Thursday, May 25 • 9:00am - 10:00am
Keynote paper

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MANTIS project: Cyber Physical System based Proactive Collaborative Maintenance

 MANTIS’ proactive service maintenance platform and its associated architecture draw inspiration from the Cyber Physical System approach.

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.


Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way ranging from (i) local nodes that pre-process raw sensor data and extract relevant information before transmitting it, thereby reducing bandwidth requirements of communication, (ii) over intermediate nodes that offer asset-specific analytics to locally optimise performance and maintenance, (iii) to cloud-based platforms that integrate information from ERP, CRM and CMMS systems and execute distributed processing and analytics algorithms for global decision making.

In this talk, I will describe the last updates from the project with a broad perspective, covering the data lyfe-cicle from the sensors that monitor the machine or equipment wear to the visualization of the intelligent conclusions obtained in the MANTIS-related intelligent and cloud-based platform.


Dr. Urko Zurutuza

Dr. Urko Zurutuza is the Manager of the Telematics Research Group atMondragon University's department of Computer and Electronics.He is responsible for coordinating the research activities in the fields of Information and Communication Security, and the application of Data Analytics... Read More →

Thursday May 25, 2017 9:00am - 10:00am PDT