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Data · dataset · 2026

Field Validation of Multi-Vendor IoT Sensing Platforms An Empirical Approach to Resilient Industrial Odor Mitigation

Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.6084/m9.figshare.34029969.v1

<p dir="ltr"><i>Industrial odour mitigation and industrial odour instrumentation are evaluated at two different sites, and neither evaluation answers the operator's question.

Description

Abatement engineering is assessed at the stack, where purification efficiencies of up to 99.9% are documented; monitoring instrumentation is assessed in the laboratory or close to the emission. The nuisance that generates complaints is adjudicated at the receptor.

This article argues that field validation of multi-vendor IoT sensing platforms must therefore be conducted at the receptor on the </i><i>mitigated outcome</i><i>, not on instrument accuracy or removal efficiency separately, and that the resilience promised by multi-vendor acquisition is delivered at the platform layer rather than at the device layer. We assemble the published field evidence and show that it establishes three things firmly and omits three others.

Read the rest (2 more)

It establishes that abatement reduces emission and that reduced emission shrinks the dispersion range; that metal-oxide arrays can operate continuously for more than a year and that a field electronic nose can be stable under variable atmospheric conditions; and that vendor heterogeneity is a documented structural obstacle, with more than 300 IoT platforms forming closed ecosystems and proprietary formats rendering cross-vendor comparison impossible.

It does not establish multi-vendor co-deployment under field conditions, mitigation outcomes measured at the receptor, or behaviour under vendor failure. We propose a four-domain validation framework, specify platform-neutrality requirements, and state four falsifiable propositions.</i></p>

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Where it is published

Catalogue records · 1

Topics

Provenance · 2 source records, 15 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/340299695 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/340299695 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].anzsrc:field:401101mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Air pollution modelling and control']
concepts[field].anzsrc:field:401101mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Air pollution modelling and control']
concepts[field].anzsrc:field:401105mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Life cycle assessment and industrial ecology']
concepts[field].anzsrc:field:401105mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Life cycle assessment and industrial ecology']
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:engineeringmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:engineeringmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:life-sciencesmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:life-sciencesmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
licensesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/rights
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title