DAME: A Distributed Diagnostics Environment for Maintenance

The Grid in Engineering Design & SupportDr Tom JacksonUniversity of York

Overview

Grid ComputingWhats new in Grid?The potential benefits The DAME pilot project

ComputationDataCommunicationGrid

What's new in Grid?

Standardisation of interoperabilityOpen system

Fully exploits the high bandwidth communication and computation now widely avilable.Provides possibility for management of massive data growth in scientific, engineering and business sectors: E.g. High Energy Physics LHC will produce 30-40Tbytes data per year, in experiments requiring virtual collaboration of 1000-2000 scientists.

Potential Engineering BenefitsDesignFaster to market Meet customer needs betterOperationMore effective management of resourcesLower costDiagnosticsDistributed sensing and monitoringShorter down times

DesignEngineering optimisationSimulation and ModellingNeeds access to large compute resourcesNeeds historical information on past designs to guide effective optimisation

Grid providesSeamless and open access to diverse computational resourcesManageable access to diverse knowledgeCooperative visualisation

Grid projects in designGEODISEDeliver a Design Optimisation Tool demonstrator for Fluid Dynamics problems G-Yacht - Remote Computing Grid Based Yacht Designdevelop a service to give remote access to yacht CFD and analysis tools via a Web PortalElectromagnetic Scattering by Aircraft Modelling and analysis of electromagnetic scatteringGrid Enabled Electromagnetic Optimisationtools for grid-enabled electromagnetic optimisation

OperationRemote MonitoringRemote control of facilitiesSets of diverse systems providing informationTimely control of systems required Grid ProvidesAccess to remote systems/resources in a standardised wayAccess to large data repositories in a timely mannerCentral authorisation to distributed resources

DiagnosticsRemote Sensing and MonitoringKnowledge based diagnosticsAccess to large amounts of process informationCombining diverse sources of knowledge to obtain diagnosis.

Grid providesHigh bandwidth communication for diverse data typesVirtual organisation for the diagnostics teamAccess and management of complex distributed data

DAME EPSRC pilot projectDistributed Aircraft Maintenance Environment.Develop a Grid enabled diagnostic systemDemonstrate this on the Rolls-Royce Aeroengine diagnostics problemDevelop, and promote understanding of:Grid middleware and application/services layer integration The real time issues in Grid computingThe dependability issuesTo provideA Diagnostic GridGrid management tools for unstructured dataAn application demonstrator to show the way forward

Project Partners4 UK universities:University of York, Dept of Computer ScienceUniversity of Sheffield, Dept of Automatic Control and Systems Engineering University of Oxford, Dept of Engineering ScienceUniversity of Leeds, School of Computing and School of Mechanical Engineering

Industrial Partners:Rolls-Royce AeroenginesData Systems and SolutionsCybula Ltd

Demonstrator ScenarioRR require more timely diagnostics on engine problemsReduce aircraft down time

Real-time engine monitoring data to be used in Ground based diagnosticsEach engine produces up to 1Gb data per flight

Engine flight dataAirline officeMaintenance CentreEuropean data centerLondon AirportNew York AirportAmerican data centerGridDiagnostics Centre

Why Grid Approach?Diagnosis systems are data centric;monitoring and analysis of sensor data and domain specific knowledge is critical to the diagnosis process; Diagnosis systems require complex interactions between multiple stakeholders;Diagnosis systems are often distributed;Diagnosis systems need to provide qualifying or supporting evidence for the diagnosis offered;Diagnosis systems can be safety or business critical, and typically have high dependability requirements.

DAME Grid ChallengesManagement of large, distributed and non-homogenous data repositories;Remote, secure access to flight data and other operational data;Controlled and secure access to remote resources (experts, computing, simulation models etc);Rapid datamining and analysis of fault data;Diagnostic analysis framework, with distributed users and resources;Communications between key personnel and actors in the system, for collaborative working;Control of information flow and data quality, and the integration of data from diverse global sources within a strategic decision support system.24/7 operation QoS issues

DAME Architectural Overview

QUOTE

Aura-G

Grid Services Management

Case BasedReasoning

DecisionSupport

PartsData

DAME DiagnosticsPortal

ServiceData

RawEngineData

The Internet / Intranet / Extranet / Grid

Software AURA

ClusterAURA

HardwareAURA

VibrationShaft SpeedFuel Flow

Modelling/Simulation

OperationalData

100111011011

Matches

NovelData

AURA

...

Grid Services Integration

Maintenance Operations

Business Processes

Diagnosis Case Data

Diagnosis Case Data

Diagnosis Case Data

Maintenance Space

DAME Diagnostic Portal

Tool 1Grid Service

Tool 2Grid Service

Tool 3Grid Service

Tool nGrid Service

Workflow Support

Decision Support

Resource Support

DAME System

Grid Services Management

Knowledge Resource Broker

Job Scheduling

Data Resource Broker

Service Registry

Grid Security Infrastructure (GSI)

. . .

E-Science/White Rose Grid

DS & S

Rolls-Royce

Grid Infrastructure

Sheffield

York

Oxford

Leeds

Grid Middleware

Grid providesDistributed access to large amounts of dataData from engine in flightEngine performance data stored in the data centresData on past maintenanceDesign data

Grid providesDistributed diagnostic toolsPlug and Play approach for diagnostic analysis toolsetOpen, extensible analysis frameworkIntegration into existing business processes and systems Search engines for unstructured data (text, images, performance data)Fast execution of engine models or simulators (processing on demand)

Grid providesVirtual organisationsDiagnostic team working as oneMaintenance engineersEngine expertsOperations management

DAME Industrial Steering GroupForming industry liaison group for: Dissemination of core research results, and technology transfer of emerging middleware applications and Grid services; Technical assessment of the wider application and relevance of the DAME technology and diagnostics framework; Dissemination of wider Grid developments and discussion of emerging standards;

To monitor and build on opportunities for further funding initiatives, either UK or EC funded. Development and monitoring of PhD studentships aligned with the DAME project.

ConclusionMiddleware and analysis framework have wide applicability (e.g health monitoring)Better service to customer due to more integrated use of data and resourcesHigher product quality due to better simulation, design and operational managementLower costs due to improved resource management Further Information: www.cs.york.ac.uk/dame