enoch-git/Energy-Meter
Domaine:
digital infrastructureenvironment and energyCréateur:
eno
Hôte:
AMI-V0.1 - Advanced dual channel edge computing energy monitor designed specifically to solve data and financial bootlenecks throttling African commercial micro-grids. Built on highly efficient ESP32-C3 RISC-V architecture.
# AMI-V0.1: Edge-Computing Smart Energy Node
**An open-architecture, dual-channel IoT metering node engineered for real-time power profiling, dynamic tariff tracking, and non-residential OpEx optimization.**
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## 🌐 Executive Overview
In infrastructure-challenged environments where commercial facilities constantly switch between the municipal grid, solar inverter banks, and localized backup generators, traditional passive utility meters fail to provide actionable operational insights.
The **AMI-V0.1** (Advanced Metering Infrastructure) engineered by **Lytenergy Systems** bridges this critical data gap. Powered by the low-power RISC-V ESP32-C3 architecture and running a deterministic FreeRTOS kernel, this edge-computing node clips non-invasively onto dual power feeds. It continuously sanitizes noisy industrial waveforms, calculates true Root Mean Square (RMS) energy metrics, and pushes highly compressed JSON telemetry to the cloud—ensuring zero data loss during network dropouts while safeguarding commercial equipment against severe inductive load spikes.
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## 📸 Hardware Architecture & Prototype
Figure 1: The AMI-V0.1 hardware featuring the ESP32-C3 SuperMini, onboard 230V AC-to-5V DC HLK-PM01 power module, dual 3.5mm jack inputs, and custom 3D-printed enclosure with an SCT-013 split-core current transformer.
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## ⚡ Key Architectural Capabilities
* **Dual-Source Autonomous Profiling:** Continuously monitors two isolated analog channels (e.g., Grid vs. Backup Generator) to autonomously identify active power sources, log precise operational running hours, and flag fuel-wasting low-load generator states.
* **Edge-Computed Digital Signal Processing:** Bypasses cloud compute costs by executing an onboard Exponential Moving Average (EMA) filter at high sampling frequencies (2–5 kHz), eliminating industrial electromagnetic noise for commercial-grade RMS precision.
* **Real-Time OpEx & Tariff Tracking:** Dynamically translates raw energy consumption …