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GCRI · Labs

Bancs d'essai de terrain et de laboratoire

A testbed is a controlled place to try something before it meets the world: a laboratory rig, a pilot plant, a field trial plot, a living lab in a neighbourhood, a regulatory sandbox. Testbeds carry risks of their own, to staff, participants, sites and neighbours, and their evidence is only as useful as the match between test and conditions of use. This page sets out how testbeds are designed, permitted, made safe and read, and who decides when a result may move on.

01Canevas

Comment le travail se déroule.

systèmes · autour de ce sujetIllustratif

Testbed operations

Field and lab testbeds · Field lab coast · Campaign 5

Sensors deployedGCRI · Labs

Sensor deployment

littoral illustratif

BuoyStationGaugeMerBands: tidal rangeN

Sensors

S-01 tide940.2Nominal
S-04 salinity910.4Recalibrate
S-07 wave910.2Nominal

Sensor vs reference

Testbed operations: the screen’s structure, terms and states for Field and lab testbeds.Noms donnés à titre d'exemple et valeurs illustratives ; une conception, non un enregistrement ni un système en service.

Fig.Testbed operations: example names and illustrative values, not a record or a live system.

02La question

Field and lab testbeds: how the risk develops.

Test environments, safety and site permissions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mécanisme

The test is not the world

Laboratory conditions remove the variability of real sites, users and maintenance. A technology that performs on a rig may fail in heat, dust, intermittent power or untrained hands. The gap between test and operating environment is what readiness levels try to name.

Mécanisme

Hazards travel with the experiment

Pressurised systèmes, biological agents, chemicals, batteries, drones and autonomous machines can harm people outside the lab once trials move to the field. appréciation du risque has to follow the experiment to each new site and each new configuration.

Mécanisme

Permission is layered

Field work can need landowner consent, environmental and planning permits, aviation or radio authorisations, biosafety approval and community agreement. A missing permission can halt a trial midway or make its data unusable.

Mécanisme

Living labs involve people

When a trial runs in homes, streets, wards or workplaces, residents become participants. Consent, data protection, benefit sharing and exit arrangements decide whether the evidence is ethical and whether the community will host another trial.

03Méthodes et preuves

How field and lab testbeds is modelled, measured and tested.

Le modèle, ses hypothèses, ses données et son incertitude, sous la forme qu'un scientifique ou un ingénieur vérifierait. Les structures suivent des méthodes publiées. Les valeurs représentées sont illustratives, ce ne sont pas des résultats.

Modèle, équations et hypothèses

The model structure used for field and lab testbeds, the assumptions it makes and how each is tested.

Risque de l'élément iRi = f(Hi, Ei, Vi, Ci)aléa, exposition, vulnérabilité et capacité à faire face
Perte annuelle attendueEAL = ∑k pk · Lksur les événements k de probabilité annuelle pk
Systèmes couplésxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
HypothèsePourquoi il est réaliséComment il est testé
Aléa et exposition sont indépendants au sein d'un événementGarde l'intégrale des pertes calculableComparer avec un ajustement de copule sur des relevés conjoints
Les couplages sont linéaires près du point de fonctionnementLaisse les chocs se propager à travers APerturber au-delà de la plage linéaire et comparer
Les courbes de vulnérabilité se transposent d'un lieu à l'autreLes courbes locales sont rarement disponiblesValider par rapport aux pertes observées lorsqu'elles existent
Entrées
jeux de données versionnés avec provenance
Productions
des distributions, jamais des nombres isolés
Code
publié avec la fiche de modèle et les tests
Reproduction
mêmes données, code, environnement et graine
Formulations standard du risque et de l'espace d'états ; les hypothèses énumérées sont typiques de la méthode, énoncées pour examen, et non des résultats.
Principes directeurs FAIR · GO FAIR et FORCE11W3C PROV · World Wide Web ConsortiumOrientations sur le traitement cohérent des incertitudes · GIECCEOS Analysis Ready Data · Comité sur les satellites d'observation de la Terre
04In the five domains

Testbeds test technology in each domain’s real conditions.

05Indicateurs

Ce qui est mesuré, et avec quelle qualité.

Chaque indicateur porte son unité, sa périodicité, le type de source qui le sous-tend et l'étiquette de preuve que porterait une valeur. Aucune valeur n'est affichée : un programme les fournit sous sa propre autorité.

IndicateurUnitéFréquenceType de sourceÉtiquette
Technology readiness level at entry and exitlevel on a named TRL scaleper trialAssessment against NASA, EU or ISO 16290 definitionsDÉCLARÉ
Independent readiness reviewpercent of readiness claims reviewed outside the teamannuelProgramme review recordsOBSERVÉ
Operating-environment fidelityordinal scale from laboratory to operationalper trialTest plan against the stated use environmentESTIMÉ
Permits in force before startpercent of required permitsper trialPermit registerStatistiques publiées
Safety incidents and near missescount per thousand test hoursmensuelIncident reporting systemDÉCLARÉ
Participant consent coveragepercent of participants with recorded consentper trialConsent recordsOBSERVÉ
Site restoration completedpercent of field sites restored to the agreed conditionper trialSite closure reportsDÉCLARÉ
06Sources

D'où proviennent les données probantes.

Jeux de données publics et registres institutionnels nommés, chacun avec sa catégorie de licence. Les sources fournies dans le cadre d'accords ne sont utilisées que selon leurs conditions et ne sont jamais republiées.

SourcesCe qu'elle apporteCatégorie de licence
ESFRI roadmap and landscape analysisEuropean research infrastructures, their scope and access conditionsFree access, attribution
MERIL portal (European Science Foundation)Inventory of European research infrastructures open to external usersFree access, terms of use
European Network of Living Laboratoires member directoryLiving labs, their domains and contact pointsFree access, terms of use
Testing and Experimentation Facilities (European Commission, Digital Europe Programme)Sector testbeds for artificial intelligence in manufacturing, health, agri-food and citiesPublic programme records
CORDIS (Commission européenne)Funded projects, pilot sites, deliverables and reported readinessFree and open, CC BY
Global BioLabs (King’s College London and George Mason University)Mapped high-containment laboratories and their biosafety governanceFree access, attribution
National permit and incident registersField-trial permits, release authorisations and reportable incidentsBy agreement with each authority
07Décisions

Qui décide, et à quoi servent les données probantes.

Laboratoires prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Qui décideLa questionDonnées probantes servies par cette page
Institutional biosafety and safety committeesWhether an experiment may run at a given containment level or field siteHazard assessment, containment design, training and incident records
Environmental, aviation and spectrum regulatorsWhether a field release, flight or transmission may be authorisedTest plan, site description, mitigation and monitoring arrangements
Programme managers at funding agenciesWhether a technology has earned the next readiness gate and its fundingReadiness evidence per level, independent review, fidelity statement
Host communities and landownersWhether to host a trial, on what terms, and how it endsPlain-language trial description, data use, benefits and restoration plan

Résultats que produit ce thème

  • Test plans stating the operating environment, the hazards and the exit criteria for each readiness level
  • Permit and safety registers kept with the trial record
  • Readiness assessments with evidence attached to each level claimed
  • Site agreements and closure records for field and living-lab trials
08Questions essentielles

What experts ask before a test begins.

  • How close are the testbed’s conditions to the real setting where the result will be used?
  • What can be controlled, what can only be observed, and what is unknown?
  • What could go wrong for people, equipment or the environment, and how is it contained?
  • Who owns the site and the data, and who has granted permission to use them?
  • How will the testbed be returned to its original state when the work ends?
09Mécanismes et facteurs

Why the gap between test and reality matters.

The value of a testbed lies in control: it removes or fixes some sources of variation so that the effect of interest can be seen. The cost of control is realism. A water treatment process that works in a laboratory may fail with real source water that varies by season; a forecasting tool that performs well on historical data may degrade when the system changes. Engineers call this the validity trade-off, and it is never eliminated, only managed.

Field testbeds narrow the gap but bring new risks. They involve communities, landowners, operators and regulators, each with legitimate interests. They can disrupt services, collect personal data or affect ecosystems. Safety cases, consent and permissions are therefore part of the science, not administration around it.

systèmes engineering offers a staged path: component tests, integrated tests in simulation, limited field trials and wider pilots, with criteria for moving between stages.

10Méthodes et données

How testbeds are characterised.

  1. 01

    Testbed description

    A record of the environment, instruments, calibration, boundary conditions and known deviations from the target setting.

  2. 02

    Hazard and safety analysis

    Structured identification of failure modes and controls, drawing on ingénierie des systèmes practice. It reduces but does not remove residual risk.

  3. 03

    Simulation and digital models

    Virtual testbeds that allow many runs at low cost. Their results are only as good as the model’s validation.

  4. 04

    Readiness staging

    Explicit criteria for moving from bench to simulation to field. Staging helps decisions but readiness levels are coarse and can hide important differences.

A testbed result shows performance under the tested conditions. Generalising beyond them requires further evidence and is reported as a separate claim.

11Méthodes

Comment c'est étudié, et ce que les méthodes ne peuvent pas dire.

  1. Ingénierie des systèmesTraçabilité des exigences jusqu'à la vérification · Revues de maturité par étapesAppliqué ici
  2. Quantification de l'incertitude et validation des modèlesBudgets d'incertitude de mesure · Analyse de sensibilité des modèles de simulationAppliqué ici
  3. Probabilités et statistiquesPlanification de la taille d'échantillon et de la puissance · Méta-analyse avec évaluation des biaisAppliqué ici
  4. Inférence causale et évaluation d'impactProjets pilotes randomisés et déploiements échelonnés · Évaluation quasi expérimentale des programmesAppliqué ici
12Where this page’s references

Where this page’s references lead.

Les organismes et documents à l'aune desquels cette page se lit. Les statuts et éditions changent ; chaque lien mène à l'organisme émetteur.

13Questions

Questions et réponses.

What does a technology readiness level measure?
How far a technology has been demonstrated, from basic principles observed to a system demonstrated in its operating environment. It says nothing about market readiness, cost or social acceptance, which need their own evidence.
What is a living lab?
A real-world setting, such as a neighbourhood, hospital ward or farm, where users and researchers co-design and test innovations over time. Its strength is realism; its obligations are those of research with people.
Who is responsible for safety in a field trial?
The organisation running the trial, under its safety management system and the permits it holds. Committees and regulators review and authorise; they do not take over the operator’s duty of care.
Is a regulatory sandbox an exemption from the law?
No. A sandbox is a supervised arrangement under which a regulator allows limited testing with conditions and monitoring. The regulator sets the terms and can withdraw them.
Does Labs own testbed sites?
No site is listed as a Labs testbed until a record shows who owns it, who granted permission and on what terms.
Can a company test a product in a Labs testbed?
Testbed use is designed for research under a published protocol. GCRI does not certify products, so a test result is never a product approval.
Are simulation testbeds treated differently?
They follow the same protocol rules. Their validation against observations is reported so readers can judge how far results transfer.
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