2026-10-11T14:46:58Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34030020 2026-09-30T05:28:07Z category_26941 item_type_12 month_year_09_2026

Semantic and Structural Interoperability in Environmental IoT A Unified Conceptual Framework for Industrial Odor Surveillance Davina Liberata Dallo (25141658) Environmental management environmental IoT ; industrial odor surveillance ; structural interoperability ; semantic interoperability ; heterogeneous sensor networks ; conceptual framework. <p dir="ltr"><i>Environmental Internet of Things deployments for industrial odor surveillance are technically mature and analytically underpowered. Sensors are deployed and streams are transmitted, yet inference on odorous episodes frequently fails to improve, because the data remain mutually unreadable even when they are mutually transmissible. This article argues that the persistent difficulty is not a sensing problem but an interoperability problem with two inseparable faces : a structural face, concerned with how heterogeneous observations are placed on a common temporal and representational substrate, and a semantic face, concerned with whether the aligned observations can be read in a shared vocabulary. We propose a unified conceptual framework that treats each observation as a typed entity encoding its time, space, uncertainty, and provenance, and each transformation as a contract-bound morphism declaring the distortion, latency, and validity terms it imposes. The framework organizes industrial odor surveillance around four archetypal streams source, emission, vector, and impact maintained at their native rhythms, and around four architectural layers mediating between physical capture and decision. We show that structural and semantic interoperability are not sequential stages but co-dependent conditions, and that their separation is what produces interpretive silos in otherwise functioning deployments. The framework yields testable propositions, a lean metadata profile, and design guidance for resource-constrained industrial settings, and it identifies the empirical programme required to confirm or disconfirm its claims.</i></p> 2026-08-31T00:00:00Z Text Preprint 10.6084/m9.figshare.34030020.v1 https://figshare.com/articles/preprint/Semantic_and_Structural_Interoperability_in_Environmental_IoT_A_Unified_Conceptual_Framework_for_Industrial_Odor_Surveillance/34030020 CC BY 4.0