Roof Leak Detection Kit v2: Arduino Nano Sensor Characterisation for Predictive Building Maintenance

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Modern buildings use networks of sensors to detect early signs of water ingress, thermal stress and structural strain. This kit takes you behind the scenes of that technology. You’ll mount and characterise four key sensor types — LDR, thermistor, strain gauge, and BMP280 pressure sensor — on an Arduino Nano platform, then plot the resistance-versus-physical-quantity graphs that form the decision-making backbone of any building maintenance dashboard. It’s the precise skill set needed to design a reliable roof leak detection system from first principles.

What You'll Build

You will assemble a multi-sensor data acquisition board, write Arduino code to read each sensor under controlled conditions, and export data to a plotting tool. By the end of the 4-5 hour build, you’ll have a calibrated characterisation rig and a set of response curves showing how LDR resistance drops with illuminance, how the thermistor’s resistance falls with rising temperature, how the strain gauge’s output varies with micro-deformation, and how the BMP280 reports atmospheric pressure. These curves are exactly what a building management system uses to trigger alerts before a leak becomes visible.

What You'll Learn

• Plot LDR resistance versus measured lux using a light source and reference meter
• Model thermistor behaviour with the Steinhart-Hart equation and verify the curve
• Set up a quarter-bridge strain gauge circuit with an instrumentation amplifier and interpret output in microstrain
• Interface the BMP280 over I2C, read pressure and temperature, then log data to a serial terminal

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE and EEE students looking to strengthen their sensor interfacing skills will find this kit immediately useful for lab coursework and mini-projects. CBSE Class 11-12 students can use the plotted response curves for a standout physics investigatory project on transducers. It is also a practical addition to ATL Tinkering Labs and a solid base module for Smart India Hackathon teams working on smart infrastructure themes. If you’ve already worked with basic Arduino and want to move from blinking LEDs to real-world data acquisition, you’re the right builder.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.