IoT Telemetry & Modbus Change Tracking Platform

Overview

This tool monitors distributed embedded devices using Modbus polling and logs only meaningful state transitions with timestamps. It provides a compact event history useful for debugging firmware behavior.

Motivation

Firmware values often appear stable, masking state machines, edge conditions, or failure signatures. Observing when a value changes is more informative than continuously streaming raw registers.

Architecture

Client Pool → Modbus Polling → Change Detection →Timestamps + Diff Logging → Local DB → Dashboard

Features

• Multi-device parallel polling
• Event-based logging (not full stream capture)
• CSV / InfluxDB output modes
• Live monitoring UI (extensible)

Tools Used

• Python
• pymodbus
• asyncio
• Grafana / InfluxDB (optional backend)

Results

• Improved debugging turnaround time
• Created clear event timelines for regression comparison
• Useful during early hardware firmware interactions and anomaly analysis

Reflection

This tool represents a shift toward treating firmware as a networked, observable system — not a black box.