IoT Environmental Monitoring

IoT Environmental Monitoring System

IoT Environmental Monitoring System

We designed and built a complete IoT sensor system for multi-parameter environmental monitoring, measuring temperature, humidity, dust, and air quality on a custom PCB centered around the STM32F4 microcontroller. Sensor data is transmitted in real time to a cloud backend, making continuous environmental oversight accessible for industrial sites, research facilities, and smart-building deployments.

Category:
IoT
Industry:
Industrial IoT
Year:
2023

The Challenge

Industrial and research environments need reliable, continuous environmental data, but off-the-shelf sensors lack the integration, analog conditioning, and connectivity required for accurate, cloud-connected monitoring. Custom hardware was necessary to combine multiple sensor types, handle analog signal conditioning, and deliver data reliably over wireless links to a central cloud platform.

Our Solution

We developed a custom PCB integrating an STM32F4 microcontroller with a multi-channel analog front-end, supporting I²C and SPI sensor buses. The firmware handles sensor polling, data fusion, and real-time wireless transmission via MQTT to a cloud backend. The hardware design prioritized signal integrity for the analog front-end and low-power operation for extended deployment without maintenance. The cloud side provides historical logging, threshold alerting, and a dashboard for trend analysis.

Key Features

  • Multi-Parameter Sensing: Simultaneous measurement of temperature, humidity, dust (particulate matter), and air quality parameters on a single device.
  • Custom PCB with Analog Front-End: Purpose-designed hardware with STM32F4 MCU, sensor interfaces, and analog conditioning stages ensuring measurement accuracy and noise immunity.
  • Real-Time Cloud Connectivity: MQTT-based wireless data transmission to a cloud backend, enabling remote access, historical charting, and threshold-based alerting.
  • I²C / SPI Multi-Sensor Bus: Flexible sensor bus architecture accommodating a variety of environmental sensor modules without hardware redesign.
  • Low-Power Operation: Optimized firmware duty cycles and power management for long-term unattended deployment in industrial or field environments.

Technologies

  • STM32F4
  • C/C++
  • Custom PCB
  • Analog Front-End
  • I²C
  • SPI
  • MQTT
  • Cloud Backend
  • Dust Sensor

Results

The system delivers continuous, multi-parameter environmental data with industrial reliability, enabling proactive monitoring, automated alerts, and data-driven decision-making for clients in manufacturing, research, and building automation.

Work With Us

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From Edge AI inference to production firmware, we turn complex embedded challenges into real, deployable solutions. Let's talk.