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Rouane, Ahmed Amin, Da Silva, Jose Carlos Couto, Rani, Kashish, Armelin, Rafael, Mita, Sergiu, Patel, Preeti and Dey, Maitreyee (2026) A real-time edge–cloud framework for multi-source distribution grid monitoring. In: 14th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2026), 8-9 June 2026, London. (In Press)
A real-time edge–cloud framework integrating micro-synchrophasor (µPMU) and power quality (PQube3) measurements is presented for distribution grid monitoring. In the proposed system, data from both devices are transmitted to a K300 edge unit, where they are processed and routed through two parallel paths: a near real-time cloud monitoring pipeline using Azure services, and a high-resolution historical storage path using InfluxDB.
The framework enables concurrent operation of both data streams, aligns their outputs through a shared flush mechanism, and publishes synchronised updates for direct comparison. Experimental validation demonstrates reliable data acquisition, processing, transmission, and visualisation. Cloud-based dashboards confirm strong agreement in frequency and three-phase voltage measurements between the two devices.
This work provides a practical and integrated monitoring pipeline that improves visibility of dynamic grid behaviour while supporting both real-time analytics and high-resolution data storage within a unified architecture.
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