IN2SMART S2R project: first results towards an Intelligent ... · RAMS/LCC analysis and risk...

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IN2SMART S2R project: first results towards an Intelligent Innovative Asset Management System (IAMS) Session: Innovative approaches to Asset Management Carlo Crovetto Project Coordinator

Transcript of IN2SMART S2R project: first results towards an Intelligent ... · RAMS/LCC analysis and risk...

Page 1: IN2SMART S2R project: first results towards an Intelligent ... · RAMS/LCC analysis and risk assessment Maintenance and interventions planning Decision support for unplanned events

IN2SMART S2R project: first results towards an Intelligent Innovative Asset Management System (IAMS)

Session: Innovative approaches to Asset Management

Carlo Crovetto Project Coordinator

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Shift2Rail

IP1: Cost-efficient and Reliable Trains,

including High Capacity Trains and

High Speed Trains

IP5: Technologies for Sustainable

& Attractive European Freight

IP2: Advanced Traffic Management & Control

Systems

IP3: Cost-efficient and Reliable High

Capacity Infrastructure

IP4: IT Solutions for

Attractive Railway Services

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In2Smart

Intelligent Innovative Smart Maintenance of Assets by integRated Technologies

▪ Official Start of the project: 01/09/2016

• Kick of Meeting: 15/09/2016

• Project’s duration : 36 months

• Global Project’s budget: 16.405.562,5€

• Funded Project’s budget: 7.290.632,50€

Coordinated by

IN2SMART2

Proposal under preparation

Call: S2R-CFM-IP3-01-2019: Intelligent asset management finalisationDeadline 18 June 2019

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CorrectiveMaintenance

Preventive Maintenance

Performed afterfailure occurrence

Performed at fixedintervals

Performed with the support of algorithms for data analytics

within a digital platform

Strategies for asset managementTowards an Intelligent Innovative Asset Management System IAMS

PredictiveMaintenance

PrescriptiveMaintenance

Decisionsautomatically

maken by the DSS

Human effort in decision making

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Next generation of Asset Management process

▪ Intelligent Asset Management Strategies (IAMS)

▪ methodologies and building blocks

▪ RAMS/LCC analysis and risk assessment

▪ Maintenance and interventions planning

▪ Decision support for unplanned events

▪ Maintenance Execution, Work Methods and Tools

▪ Dynamic Railway Information Management System (DRIMS)

▪ An IT (Big Data) architecture and its interfaces

▪ A set of algorithms compatible with (running on) the Big Data architecture

▪ Railway Information Measuring and Monitoring System (RIMMS)

▪ A set of heterogeneous monitoring systems

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Infrastructure Train

Infr

astr

uct

ure

System along the line for infrastructure

monitoring

Fixed System fortrain monitoring

Trai

n

ASSET

TEC

HN

OLO

GY

1st layer: RIMMS Monitoring and Data Collection

On-board System for infrastructure

monitoring

On-board System for train monitoring

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RIMMS Monitoring and Data Collection

RIMMS correlatedtechnologies

• Drones

• Robotics monitoring application

• Satellite Technologies

• Asset digitalization

• IoT sensors

• Automatic video monitoring

• Load measurement systems

• Fiber optics monitoring

GPS

Accelerometers at four axle boxes

9IN2SMART WP4 Kick off Meeting 26/01/2017

Task4.1- Trackmonitoring?

Statusquo– ApplicationdevelopedinAutoMain

PositioningwithGPS

DatatransferwithGSMandWi-Fi

Rotation around three axiswith IMU

Acceleration at 4 axle boxes

Computer for storage, evaluation and transfer of data

Computer

IMU

GNSS - AntennaIRIG

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2nd layer: DRIMS analytics

RIMMS data sources

Process mining

Predictivemodels Predict future asset status

Detect unusual states or indications of future failures

Detect differences between planed processes and process executions.

Asset or process

Data mining and predictive analytics

Anomaly detection

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DRIMS -The Standard Open Interface

The Canonical Data Model:

O&M

Example developed within IN2SMART for collectingdiagnostic data from legacy signalling system:• Static data of the railways and signalling equipment are

modelled by using RailML• Static details of the sensors deployed within the railway

infrastructure is modelled by using SensorML• Measurements and status are modelled by using O&M

Definition of guidelines for building a CDM for Railway Asset Management.

Activity aligned with the S2R-CDM taskforce and the project that will be funded under the call

S2R-CFM-IPX and CCA-01-2019: S2R System Architecture and Conceptual Data Model

Objective: Definition of a conceptual and structured representation of data that need to be shared between systems

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Application of DataAnalytics to In2Smart defined UCs

1. Earthworks

2. Bridges

3. Track Geometry

4. Rail Defects

5. S&C Signaling/Track Circuits

6. Track Equipment

Anomaly detection

Process Mining

Predictive models

Demonstrator IT architecture

2

2

1

2

2

1

1

2

2

2

3

3

1

1

Total 9 4 12 = 25 studies

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UIC Guidelines: AM practical implementationDecision framework for an Intelligent Asset Management System (see UIC Railway Application Guide: Practical Implementation of Asset Management through ISO 55001)

Asset Management Plan Implementation of Asset Management PlanStrategic Asset Management Plan

Decision

Processes

Decision

Outputs or

Activities

Key:

External

Interface to

Asset

Management

System

Decision

Inputs

Identify Strategic

Options for

Delivering Objectives

Resources

and

Constraints

Stakeholders and

Context /

Organisational

Objectives

Select Optimum

Option

Analyse Strategic

Options

Segment

network, assign

objectives

Network

Objectives

Route

Objectives

Asset /

System

Knowledge

Asset Strategies

Identify Delivery

Options

Route Delivery

Plans

Identify AM

Planning Options

Asset /

System

Knowledge

Resources

and

Constraints

Select Optimum

Delivery Option

Analyse AM

Planning Options

Select Optimum

AM Planning

Option

Resources

and

Constraints

Asset /

System

Knowledge

Analyse Delivery

Options

Route Asset

Plans

Preparation of

Work

Respond to fault

or diagnostic

prompt

Execution of

Work

Monitor

Performance

and Costs

Network

Operation

SAMP - how organizational objectives are to be converted

into AM objectives, the approach for developing AM plans, and the role of the AM

system in supporting achievement of the AM

objectives

AMP - activities, resources and timescales required for a group of

assets to achieve the organisation’s AM objectives

IAMP - activities that are undertaken at each

stage of the asset lifecycle, including the

application of risk control measures, as specified in the AMP including reaction to

unplanned events

link to UIC Guidelines for Railways and ISO 55001 (requirements)

Strategic level Operative levelTactical level

Strategic Asset Management Plan

Implementation of the Asset

Management Plan

Asset Management Plan

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Generic framework: covering building blocks from WP8, RAMS&LCC, Decision-making

3rd layer, IAMS: Generic framework for DSS

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Particularised Frameworks: - Input- Output- IAMS task- Building blocks

SAMP

AMP - RAP AMP - RDP IAMP

IAMS: Generic framework for DSS

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Application of the DSS to In2Smart defined Ucs

UCsDevelopment

Use cases Significant Use Cases Identification

Validationprocedure

Identification of the KPIs and the validationprocess for each UC

Development of each use case according tothe identified needs and KPI to be achieved

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• Uncertainty analysis in life cycle costs

• RAMS/LCC for track geometry maintenance planning

• Smart Depot

• Earthwork asset management using Petri Net models

• Track circuits: false track occupancies mitigation

• Operational daily planning

• Optimizing inspection and maintenance planning

• RCM Intervention decision support

… taking into account a variety of uncertainty at key stages in the decision making process.

… efficient and effective track geometry maintenance planning strategies to increase the

capacity, robustness and reliability.

… optimal use of possessions, crews and equipment, while safeguarding timely and effective interventions leading to minimal failures and possession over-runs

… Predicting costs and performances for a route section, with its specific configuration and variety of assets by taking into account different types of influent factors

… assist the Remote Condition Monitoring (RCM) operator with their decision to initiate maintenance intervention associated by an alarm

… planning maintenance interventions to minimize traffic disruptions (prioritization, interventions scheduling, crews optimization)

… integrating best design criteria to optimizing the organization and planning of maintenance activities

… investigate optimal intervention schemes so as to offset the effect of EW asset degradation under budget and resource constraints.

The Use Cases

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Mapping the Use Cases within the Framework

SAMP

• Uncertainty analysis in life cycle costs

• RAMS/LCC for track geometrymaintenance planning

• Smart Depot

• Earthwork asset management using Petri Net models

Strategic Asset Management Plan

AMP IAMP

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SAMP AMP IAMP

• Track circuits: false track occupanciesmitigation

• Operational daily planning

• Optimizing inspection and maintenance planning

• RCM Intervention decision support

Implementation of the Asset

Management Plan

Mapping the Use Cases within the Framework

Asset Management Plan

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The IT architecture of the DSSIAMS system architecture has been finalized and will be used as a reference for the

IN2SMART follow up project

based on the ArchiMate standard developed by the OPEN Group (http://www3.opengroup.org/subjectareas/enterprise/archimate)

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ConclusionsMain results

▪ Increase in operational reliability (less service disruptions) leading towards zeroavoidable failures.

▪ Homogenization of maintenance by the identification and removal of most impactingroot causes making use of condition based monitoring and analytics methods.

▪ Access to heterogeneous multi-owner maintenance-related data with the adequatedegree of privacy, security and quality through the definition of standard openinterfaces

▪ Reduction of maintenance cost and complexity of maintenance processes andoptimize maintenance execution, thanks to (prescriptive) maintenance planning supportsystems

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Thank you for the attention

Carlo Crovetto

[email protected]