__________________ engineering education systems for environmental project management - example of...

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Engineering Education Systems for Environmental Project Management

-Example of the Amise Simulation Program

François Baillon

School of Mines

St-Etienne

Engineering Education Systems for environmental project management

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1. What is an Engineering Education System?

2. Example of the Amise Simulation Program

3. Use of simulation results

4. What’s next?

OutlineOutline


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Weaknesses of traditional teachingWeaknesses of traditional teaching

• Lack of motivation from students• Theory illustration based on exercise disconnected

from reality• Lack of links between disciplines • Low interactivity• Low reactivity to actualities


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Pedagogical conceptsPedagogical concepts

• Use of active pedagogy• Use of role playing techniques • Learning process based on project management• Integration of technical, economical and social

constraints

Realisation of simulator based on a real case study


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Simulator GoalsSimulator Goals

• Educational system for project management in environment and water resources

• Graduate students/Junior engineers• 1 week role playing game• Simulation of the project decision process as

well as technical phases


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Simulation elementsSimulation elements

Use of multimedia

Use of specific scientific software during technical phase simulation

Introduction of disturbing events

Presence of an animator


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•Water Game (1975-1989)

Water supply distribution

•MISE (1981-1995)

Water resources management

•PROMISE (1989-1998)

Waste water management

Existing simulation programsExisting simulation programs


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OutlineOutline




4. What’s next?


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Real case study: New Brighton’s site cleaning-upReal case study: New Brighton’s site cleaning-up

•New Brighton’s (Minnesota, USA) aquifer cleaning-up

•Organic compounds contamination from US army ammunition plant (1940-1980)


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Pollution overviewPollution overview

New Brighton


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AMISE Scenario AMISE Scenario

•Phase I: Context Study

•Phase II : Diagnostic

•Phase III : Modelling

•Phase IV: Resources Management

•Phase V : Proposition of cleaning-up solutions


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Inter-phase information exchange diagramInter-phase information exchange diagram


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AMISE elementsAMISE elements

• Database Documents, regulation, events, pollution level

• Data treatment methodsData interpolation and hydrodynamic modelling

• Html and Java Interface


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AMISE InterfaceAMISE Interface

Contam inant CharacteristicsG round W ater T reatm entW ater BasicsAbout groundw ater pum pingPollution contigency plan

Docum ents

Sum m ary of Environm ental Fate by coum poundCost and effic iency ofrelevant w atertrea tm en t tech n iq u es

Research topics

G ouvernem ental inform ationM innesota Rules and Regulations

Internet resources

LibraryG e t so m e in fo rm a tio n

a t th e lib ra ry

G rounw aterM od e lin gP rog ram

Contouring and3 D su rfaceM ap p in g

Com puter RoomU se a so ftw a re to d o a m a p

o r a g ro u n d w a te r m o d e l

M PCAM DHDNRM G SUSG SEPAT CAAPCountyNew BrightonCom m unities

G etting inform ationT ry to m e e t p e o p le

to ge t so m e h e lp

Build a treatm ent plant

Build a new w ell

Build a Pipeline

Conduct an AquiferPerform ance T est

ConstructionG e t so m e in fo rm a tio n

o n h o w to b u ild aw a te r su p p ly n e tw o rk

V is it th e N ew B rig h ton a rea

Begin a sam pling cam paign in the

New Brighton area

G eneral inform ation about sam pling

Sam ple programG o o u ts id e a n d

d ig th e g ro u n d to ge t a sa m p le

A M IS EIn trod u c tion sc reen s


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Amise Interface on Internet


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Diagram of design strategy for Web sites(source Yale Style Manual-Design Strategies)

Diagram of design strategy for Web sites(source Yale Style Manual-Design Strategies)

Teaching

Training

Education

Reference

Linear Non-linear

Interface Structure

Concise Brief

Complex Lengthy

User Contact Time Amise Amise SimulationSimulation ProgramProgram


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Pedagogic gainPedagogic gain

• KnowledgeWater pollution - Geology & Hydrogeology - Chemical product’s behaviour - Environmental regulation- Economical constraints

• Engineering TechniquesData interpolation - Hydrodynamic modelling - Well construction

• ExperienceSetting up a sample campaign- Setting up a decision process- Imprecision management - Interaction between technical, economical, social and regulation constraints in an environmental project..


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4. What’s next?

OutlineOutline


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Simulation WorkshopsSimulation Workshops

35 participants & 11 teams

Workshop1 Workshop 2 Workshop 3 Workshop 4

PlaceSchool of Mines

St.-Etienne(France)

University ofMinnesota

(Minneapolis-USA)

School of MinesSt.-Etienne

(France)

School of MinesSt.-Etienne

(France)Date July 97 September 97 January 98 January 99

Length 4 days 6 days 4 days 6 days Teams 2 4 2 3

Participants 7 16 5 7

Knowledgelevel

Researchers/Professors/Engineers

Graduate students Graduate students Graduate students


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Groundwater modelling results (University of Minnesota - 97)

Groundwater modelling results (University of Minnesota - 97)

Team 1 Team 2 Team 3 Team 4


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Workshops ResultsWorkshops Results

0 10 000 20 000 30 000 40 000 50 000 60 000 70 000

Total pumping rate (m 3/d)

0 5 10 15 20

Number of simulated wells

Real number of wells (4)

Real pumping rate (17 430 m3/d)

Real construction cost ($ 1 630 000)

0 2 000 000 4 000 000 6 000 000 8 000 000 10 000 000 12 000 000 14 000 000 16 000 000

Simulated constrution cost ($)


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Use of simulation results ?Use of simulation results ?

RealCaseStudy

Constructionof a

simulator

SimulationWorkshops

Cleaning-upScenario

?


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Factors associated to decision makingFactors associated to decision making

POLITIC SCIENTIFIC

ECONOMICREGULATION


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Knowledge evaluation Knowledge evaluation

• Input knowledge

• Modelled knowledge

Project context

Expectedmodelling

quality

Availableresources

Inputknowledge

Modelledknowledge

Modelling


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Multi-criteria analysisMulti-criteria analysis

Criteria hierarchy process

Criteria balancing

Evaluation


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Experimental behaviour graph(hydrodynamic model)

Experimental behaviour graph(hydrodynamic model)

0

0,02

0,04

0,06

0,08

0,1

0,12

0,14

0,16

0 0,1 0,2 0,3 0,4 0,5

Input Knowledge

Mo

de

lled

Kn

ow

led

ge


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Answers...Answers...

This analysis methodology gives relevant result

Application to other part of the simulator

(models or student learning process)

We need more information on decision making

Development of intelligent

web-based tracking techniques


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4. What’s next?

OutlineOutline


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Further developmentFurther development

• Network simulators• Multimedia development ( sound & video)

• Use of Geographic Information System (GIS)

• Integration of advanced programming techniques (artificial intelligence, multi-agent systems)


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Evolution goalsEvolution goals

• Integration of an intelligent system to manage the student’s choices

• Personalising the learning environment• Generating real time pedagogical explanation• Developing distance learning simulation


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On-going projectsOn-going projects

• Realisation of a Simulator generator platform

• New simulator on urban planning issues for Grenoble Metro Area

• Development of Intelligent Internet Learning Environment


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ConclusionConclusion

Engineering education systems based on simulation programs are:

• useful tools adapted to the actual needs and evolution in learning technologies

• scientific environments allowing experimental behaviour studies (models / learning process)

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Engineering Education Systems for Environmental Project Management

http://helios.emse.fr/~idee/[email protected]

School of Mines St-Etienne

__________________ engineering education systems for environmental project management - example of...

Documents

engineering education

resources management

animator slide

project decision process

technical phases slide

game simulation

simulation results

java interface slide