Key Implementations:

Instead of relying on expensive PLC-based solutions, I introduced a cost-effective alternative using Arduino and ultrasonic sensors, achieving superior accuracy through software calibration. I also developed a REST API for real-time data transmission and conducted extensive lab testing to ensure reliability over water surfaces.

This solution eliminated the need for manual measurements at four different locations, saving labor, fuel 🚘, time and money 💵, while enabling data-driven decisions on reservoir load management. The system remains in use today, providing a scalable, low-maintenance, and cost-effective solution.

The largest reservoir measures 10 meters deep, which aligns perfectly with the MB7066 XL-MaxSonar-WRL1 sensor’s maximum range. This made it an ideal and cost-effective solution 👍, eliminating the need for overpriced sensors while ensuring accurate and reliable water level monitoring.

Project Description

I proposed and implemented an ultrasonic level monitoring system for the company’s reservoirs, addressing a long-standing challenge of accurately measuring water levels.

Previous attempts had failed due to the high cost of commercial sensors, water damage to submersible models, and complex PLC configurations.

I used the MB7066 XL-MaxSonar-WRL1 sensor, which costs only $115. Previously, the company had invested in multiple sensors priced between $900 and $960 each, along with PLCs costing around $1,000.

By replacing these expensive components with an Arduino ♾️ ($40) we achieved significant cost savings 💲 while maintaining high accuracy and reliability. This solution not only reduced hardware expenses but also lowered maintenance complexity, making it a far more efficient and sustainable alternative.