#lm35

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:

Log into: https://cloudtopiaa.com

Go to the DataStreamX dashboard

Create a new MQTT Adapter

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!

This is a super detailed introduction to LM35 temperature sensor, you dont have to look up all over the internet with this one in your hand!

Automatic Temperature Controlled Air Cooler Design, Assembly and Testing

by Vijay Kumar Gupta | Himanshu Singh | Kunwar Utkarsh | Ankit Kumar | Abhinav Kumar Vishwakarma | Mohak Gupta "Automatic Temperature Controlled Air Cooler: Design, Assembly and Testing" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, 

URL: https://www.ijtsrd.com/papers/ijtsrd23327.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23327/automatic-temperature-controlled-air-cooler-design-assembly-and-testing/vijay-kumar-gupta

open access journal of engineering, ugc approved journals for engineering, call for paper engineering

Raspberry Pi and LM35 based IoT Temperature Monitoring System using ThingSpeak

In previous project, we learned about sending data to IoT platform ThingSpeak using Raspberry pi. In this DIY tutorial we are going to send the LM35 temperature sensor data to ThingSpeak cloud to build a Temperature Monitoring System. Using ThingSpeak we can log and monitor the temperature from anywhere in the world. This IoT based temperature monitor is built using Raspberry pi, ADC0804 and LM35 temperature sensor. Raspberry pi reads the current temperature from LM35 using ADC and sends it to ThingSpeak server for live monitoring from anywhere in the world.