Project Hub /Test & Measurement Instrumentation/Sensors & Signal Measurement Tools/Process Monitoring System Using MATLAB

Intermediate

ARDUINO

₹500 – ₹1,500

3 – 6 Hours

Partial Kit

Process Monitoring System Using MATLAB

This DIY project implements a process temperature monitoring and graphical trending system using an Arduino Uno, an LM35 temperature sensor, and a custom MATLAB GUI.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

Arduino UNO R3 Board (Compatible) – ATmega328P Microcontroller with USB Cable Rs. 999.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Cable for Arduino Nano (USB 2.0 A to USB 2.0 Mini B) 30cm Rs. 69.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: LM35 / Analog Temp Sensor

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How It Works

The Process Monitoring System leverages an Arduino Uno microcontroller to interface with an LM35 temperature sensor, establishing a bridge between physical environmental data and a computer-based graphical user interface. The LM35 is an analog temperature sensor that outputs a linear voltage proportional to its Celsius temperature reading. This analog voltage signal is routed to one of the analog input pins on the Arduino Uno. Inside the microcontroller, an analog-to-digital converter (ADC) samples this continuous voltage and translates it into a discrete digital value. To retrieve and display this data, MATLAB communicates with the Arduino Uno via a USB cable using the Legacy MATLAB and Simulink Support for Arduino package. Through this connection, a custom MATLAB script or GUI periodically queries the Arduino for the latest digital conversion value. MATLAB then scales this raw data back into meaningful temperature units (such as degrees Celsius) and plots the real-time values on a graphical trending chart. This setup enables continuous data logging, visual observation of thermal fluctuations, and automated process tracking directly from a desktop environment.

Why Build This

Bridge embedded hardware data acquisition with desktop-based engineering software like MATLAB for real-time visualization.

Gain practical experience designing custom graphical user interfaces (GUIs) for industrial and biomedical process monitoring.

Understand analog sensor integration, analog-to-digital conversion, and serial communication protocols in an undergraduate engineering context.

Real-World Application

Process monitoring systems are widely used in instrumentation engineering for tracking temperature, pressure, level, flow rate, and other parameters in industrial plants and laboratories.

Skills You'll Learn

Analog sensor interfacing

Analog-to-digital conversion

Serial data communication

MATLAB GUI development

Real-time data logging and plotting

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

ARDUINO

MATLAB

GUI

LM35

TEMPERATURE SENSOR

DATA ACQUISITION

SERIAL COMMUNICATION

Frequently Asked Questions

Yes, newer versions of MATLAB will also work, though you should ensure compatibility with the hardware support packages you install.

Why is the Legacy MATLAB and Simulink Support for Arduino package required?

This support package enables MATLAB to establish a direct communication link with the Arduino Uno over the USB cable so it can read pin states and sensor data without requiring manual code compilation every time.

Do I need an external power supply for the Arduino Uno?

No, the Arduino Uno draws sufficient power directly from your computer's USB port while connected for data transfer and monitoring.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

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