Dynamic Telemetry Orchestration and Signal Elevation: An Edge-Native AI Proxy Architecture for Industrial Cyber-Physical Systems
DOI:
https://doi.org/10.64882/ijrt.v11.i4.1097Keywords:
Dynamic Telemetry Orchestration, Edge Computing, Cyber-Physical Systems, Edge-Native Artificial Intelligence, Signal Elevation, Industrial Internet of Things (IIoT)Abstract
The prevailing paradigm of cloud-centric observability—characterized by ubiquitous telemetry aggregation and centralized analysis—is fundamentally incompatible with the latency, bandwidth, and security constraints of modern Industry 4.0 environments. In high-frequency robotic and machining operations, transmitting raw, unaltered telemetry to remote cloud infrastructure introduces unacceptable deterministic latency and exorbitant egress costs, with up to 70% of ingested data providing zero actionable value. This paper proposes a novel AI Edge Proxy architecture, a localized intelligent gateway deployed within the Operational Technology (OT) boundary. Utilizing lightweight neural networks at the edge, the proposed proxy performs real-time baseline inference to filter nominal operational noise. Crucially, it introduces "Dynamic Debug Injection," an autonomous orchestration mechanism that pre-emptively elevates logging fidelity based on sub-threshold harmonic deviations, capturing high-resolution failure states without cloud round-tripping. The architecture reduces cloud storage overhead, satisfies stringent industrial latency requirements, and enforces local data sovereignty by restricting external transmission to sanitized, anomalous metadata.
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