Building a Real-Time IoT Temperature Monitoring System with ESP32, LM35 & DataStreamX

 In a world driven by smart technology, real-time data monitoring has become essential — not just in industrial systems, but even in basic IoT applications like temperature sensing.

This post shows you how to build a complete IoT data pipeline using:

  • 📟 ESP32 microcontroller
  • 🌡️ LM35 temperature sensor
  • ☁️ Cloudtopiaa’s DataStreamX — a powerful real-time data streaming engine

Whether you’re a beginner in IoT development or exploring edge computing for enterprise systems, this guide blends hardware, firmware, and cloud data streaming into one cohesive solution.



Project Overview: What We’re Building

We’ll build a real-time IoT system that:

  • Reads temperature using an LM35 sensor
  • Transmits it via MQTT protocol
  • Processes the data using DataStreamX (on Cloudtopiaa’s infrastructure)
  • Displays it on a live IoT dashboard

Use Cases:
Industrial IoT
Environmental monitoring
Smart homes
Embedded systems requiring real-time response

Components Required

ComponentDescriptionESP32 BoardWi-Fi-enabled microcontroller for IoTLM35 Temperature SensorAnalog sensor with linear outputJumper WiresFor connectionsBreadboardFor prototypingDataStreamX PlatformReal-time streaming and visualization

Hardware Setup

  • Connect LM35 to ESP32:
  • VCC → 3.3V
  • GND → GND
  • VOUT → Analog pin (e.g., GPIO34)
  • Power up your ESP32

Firmware: Code for ESP32

The ESP32 will:

  • Read analog voltage from the LM35 sensor
  • Convert it into Celsius
  • Publish the readings to DataStreamX every 5 seconds using MQTT
temperature = (analogRead(34) * 3.3 / 4095.0) * 100.0; // LM35 conversion

What is DataStreamX?

DataStreamX is a low-code, real-time data pipeline platform built into Cloudtopiaa’s cloud infrastructure.
It helps developers to build resilient, scalable IoT systems easily.

Key Features:

  • MQTT Adapter for IoT sensors
  • Real-time dashboards
  • Event-based alerts
  • Edge-cloud synchronization
  • Secure data routing

Cloudtopiaa + DataStreamX = Instant, Scalable IoT

Setting Up DataStreamX on Cloudtopiaa

To set it up:

Define:

  • Input Stream: Temperature sensor topic
  • Logic: (e.g., Trigger an alert if temp > 40°C)
  • Output Stream: Live dashboard visualization

Live Visualization: Monitor in Real-Time

Once your ESP32 starts publishing:

  • View real-time temperature plots
  • Monitor averages, minimum, and maximum values
  • Visualize it instantly on the Cloudtopiaa dashboard

Bonus: Trigger Smart Actions

You can create rules like:

  • If temperature > 50°C → Send an email alert
  • If temperature > 60°C → Automatically activate a cooling fan

Security & Scalability

Cloudtopiaa ensures:

  • 🔒Encrypted communication
  • 🔑 Role-based access control
  • 🧾 Audit logs for compliance
  • 📈 Scalability from 10 to 10,000+ sensors

Perfect for smart factories, research labs, and large-scale IoT deployments!

Real-World Applications

Smart Homes: Thermal alerts & automation
Healthcare IoT: Patient room temperature monitoring
Environmental Monitoring: Greenhouses & weather stations
Industry 4.0: Machine cooling and predictive maintenance
Education: STEM IoT projects with ESP32

What’s Next? Intelligent Automation

Cloudtopiaa is working to add AI feedback loops inside DataStreamX soon, enabling:

  • Predict overheating events
  • Auto-adjust environmental controls
  • Optimize energy consumption in real-time

Start Your IoT Journey Today

You don’t have to be a cloud architect or hardware expert to create an IoT system today.
With Cloudtopiaa’s low-code dashboard, you can:

🔗 Connect your devices

Set data logic

Visualize everything in real-time!

🔗 Build with DataStreamX → Start Now

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