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IoTDashboardEnergyTime-SeriesEdge Computing
Energy Meter Monitoring Dashboard
A high-fidelity, dynamic dashboard for real-time energy meter monitoring, featuring time-series analytics and robust offline quota management.
Tech Stack:PostgreSQLTimescaleDBRaspberry PiREST API
The Challenge
Aggregating and analyzing high-frequency, varying data points from a diverse fleet of energy meters presented a significant data processing hurdle. Furthermore, the system needed to maintain operational integrity and enforce energy quotas even over extremely constrained, low-bandwidth networks (e.g., 10 kbps links).
Our Solution
Developed "EnergyOS," a full-stack platform leveraging PostgreSQL with TimescaleDB to efficiently process and query complex time-series data. To solve the connectivity constraints, an edge-computing architecture was implemented using Raspberry Pi units. These local nodes manage offline energy quotas and reliably sync JSON data payloads asynchronously via API once the network permits.
The Result
Successfully deployed to a fleet of [50] edge devices, reducing data transmission bottlenecks by [40]%. The implementation of TimescaleDB accelerated complex, multi-device comparative queries by [5x], enabling true real-time analytics on the dashboard while maintaining [100]% accuracy in offline quota enforcement.