Industrial digitalization in emerging economies is frequently constrained by the high cost and rigidity of proprietary Industry 4.0 solutions. This work proposes and experimentally evaluates a low-cost edge gateway architecture that integrates an entry-level PLC, a Raspberry Pi, MQTT messaging and a cloud database to enable basic Industrial Internet of Things (IIoT) functions in Salvadoran manufacturing plants. The architecture is validated in a packaging line case study, where production counting data are acquired from a Siemens LOGO! 8 PLC, processed on a Raspberry Pi using Node-Red and Python, and published to a Supabase cloud backend for visualization and analysis. Over a set of controlled experiments, the prototype achieves a counting error below 1.2%, a 95th-percentile end-to-end latency below 250ms and data delivery above 99.5%, while remaining compatible with the RAMI 4.0 reference model and common OT/IT separation practices. The results indicate that the proposed approach can serve as a practical and affordable first step towards IIoT interoperability in Salvadoran industry, addressing a critical gap in resource-constrained environments.
Low-cost Edge Gateway Architecture for IIoT Interoperability in Industry
D. Miranda,M. Cardona,Bryan Vásquez-Pineda,V. K. Solanki
Published 2025 in 2025 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)
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2025
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2025 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)
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2025-12-11
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