Community Research and Development Information Service - CORDIS

H2020

IN2SMART Report Summary

Project ID: 730569
Funded under: H2020-EU.3.4.8.3.

Periodic Reporting for period 2 - IN2SMART (Intelligent Innovative Smart Maintenance of Assets by integRated Technologies)

Reporting period: 2017-01-01 to 2017-12-31

Summary of the context and overall objectives of the project

The IN2SMART overall objectives are to make advances towards achieving the global SHIFT²RAIL objectives of:
• CAPACITY : enhancing the existing capacity to match user demand of the European rail system
• RELIABILITY : delivering improved & more consistent quality of service
• LIFE CYCLE COST : reducing LCC & hence increasing competitiveness of the European rail industry
This is being achieved dealing with asset management and by the adoption of a whole system approach that link together Railway Information Measuring and Monitoring System (RIMMS), Dynamic Railway Information Management System (DRIMS) and Intelligent Asset Management Strategies (IAMS).
More in details, IN2SMART was born in the context of a growing demand for a step change in asset management to be delivered through innovative technologies, new economic possibilities, and enhanced legislative standards in the rail sector. It wants to contribute to create new and optimised strategies, frameworks, processes and methodologies, tools, products and systems for the implementation of a step change in risk based, prescriptive and holistic asset management in the rail sector. To do this the project is structured in the three former Technological Demonstrators:
• TD3.7 Railway Information Measuring and Monitoring System (RIMMS) that focuses on asset status data collection (measuring and monitoring), processing and data aggregation producing data and information on the status of assets;
• TD3.6 Dynamic Railway Information Management System (DRIMS) that focuses on interfaces with external systems; maintenance-related data management and data mining and data analytics; asset degradation modelling covering both degradation modelling driven by data and domain knowledge and the enhancement of existing models using data/new insights;
• TD3.8 Intelligent Asset Management Strategies (IAMS) that concentrates on decision making (based also but not only on TD3.6 input); validation and implementation of degradation models based on the combination of traditional and data driven degradation models and embedding them in the operational maintenance process based upon domain knowledge; system modelling; strategies and human decision support; automated execution of work.

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

WP1
• First project amendment preparation, negotiation and submission: current state waiting for JU approval
• Coordination on SC project meetings and, in support to TMT leader, of TMT meetings
• Internal June 2017 reporting period to check effort coherence
WP2
• Production and on-time delivery to EC of Deliverable D2.1 “System Requirements and Functional, Form Fit and Interfaces Specifications”
• Support to the implementation of the NR and SNCF storyboards.
• Analysis of the interconnection between WPs. Creation and maintenance of a tool to manage the interactions and flow of information between WPs within IN2SMART and between IN2SMART and the Open Call projects IN2DREAMS and MOMIT.
WP3
• State of the art of Uav’s and satellite possibilities for railways inspection done
• Alignment with SNCF storyboard
• Choice of uses cases for drone’s demonstrator done
• Progress with NR robot’s Demonstration of non-contact rail defect detection using laser vibrometry
WP4
o Setup of development platform for track geometry monitoring on inspection car. Monitoring of track geometry . Development of MBS model to analyse lateral alignment and residuals
o Acceleration measurements from train and wayside. Data processing for identification of rail objects, such as S&C’s, joints, etc.
o Identification of defects in S&C’s from axle box accelerations. Development and evaluation of simulation model for vehicle track dynamics
o Setup of measurement system for monitoring of rail fastenings. Test measurements on prepared test sections with several fastening systems. First evaluations of measurements
WP5
• D5.1 (Requirement specification for T5.1 and T5.2) – Released
• D5.2 (Technical concept framework description methodology for collecting data from an in-operation legacy signalling system) – Ongoing, first review to be held March 2018.D5.3 (Hazard analysis of the technical framework impact on existing safety case)
• D5.4 (Concept of adopting the diagnostic framework in future signalling and telecom systems) – Ongoing, first draft will be available in Mars 2018. D5.5 (Proof of concept report from an in-lab demonstration collecting data from two different types of signalling systems) – Not yet started
WP6
• All use cases defined at a detailed level and created synergies among partners
• Defined the overall idea for the final demonstrator solving some of the most important issues, more details to be defined later
• Updated WP overall planning, with internal deadlines for developments and deliverables
WP7
• Survey for open standards state of the art were made
• Results for standards collected and put into delivery
• Draft version for task 7.2 delivery were created
WP8
• Development of 17 use cases based on WP8 partner proposal, refining and grouping of the 17 use cases into seven use cases
• Development of different approaches within each use case where the topics - anomaly detection, process mining and decaying infrastructure & predictive models - are addressed.
• Data collection has started to within the use cases to feed the approaches.
WP9
• Kick-off meeting for the Work Package
• Requirement specification for the IAMS process with regard to WP9 contents
• Collection and evaluation of questionnaires to identify and specify WP9 use cases
• Definition of seven WP9 use cases for decision support: motivation, background, scope, objectives, expected outcomes
• Mathematical modelling of the underlying planning tasks in WP9 use cases
WP10
• D10.1 and D10.3 Completed
• D10.2 Detailed analysis of; data processing with respect to track layout (straight track, curve, transition curve). Impact of track layout parameters on track geometry measurements. Localisation. Pre-measurements by tamping machine, fix point measurement system and track recording cars
• D10.4 and D10.5 Contract issued to Linked 3rd party. Plan in place and on programme
WP11
• WP leadership assumed by Carlo

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 entire project scope is to aim towards an intelligent asset management systems (IAMS) according to ISO 55000; taking into consideration that IN2SMART is the first step only aiming to reach TRL4-5 results.
Thus the overall objectives deals with creating new and optimised strategies, frameworks, processes and methodologies, tools, products and systems for the implementation of a step change in risk based, prescriptive and holistic asset management in the rail Sector.
In this view some tangible progress beyond the state of art are currently in progress inside the RIMMS WPs, whilst they are clearly premature for DRIMS and IAMS WPs.

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