Industrial IoT Monitoring Platform
Sensor-to-cloud monitoring system deployed across 12 manufacturing lines for predictive maintenance.
34%
reduction in downtime
The Problem
A manufacturing plant faced heavy losses from sudden electric motor failures on critical assembly lines. Legacy monitoring only flagged problems when a machine physically stalled, causing massive production delays.
The Solution
We designed custom vibration and temperature sensor nodes with STM32 microcontrollers, integrated Modbus RTU communication, and linked them to an industrial LoRaWAN gateway. Data is processed locally and pushed to AWS IoT Core for continuous anomaly detection.
Engineering Challenges
Designing circuits for high-interference factory floors (vibration and electromagnetic noise) and optimizing low-power battery operations to last over 3 years.
Outcome & Performance
Unplanned downtime dropped by 34%. Deployed across 12 manufacturing lines with zero network drops, capturing early bearings wear weeks before hardware failure.
Architecture Pattern
STM32 Sensor Nodes
Integrated component of the system stack.
LoRaWAN Gateway Node
Integrated component of the system stack.
AWS IoT Core
Integrated component of the system stack.
FastAPI Dashboard Engine
Integrated component of the system stack.
Vibration Frequency Analysis
Integrated component of the system stack.
Technology Stack
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