Smart two-tank water quality and level detection system via IoT

Area of Science:

• Environmental Engineering
• Control Systems Engineering
• Mobile Application Development

Background:

• Traditional two-tank water systems lack intelligent control, leading to water wastage and unaddressed water quality concerns.
• Current systems do not verify water quality in overhead tanks before distribution.
• Need for an integrated solution for real-time monitoring and automated control in domestic water storage.

Purpose of the Study:

• To develop an integrated Android mobile application and control system for intelligent water management.
• To assess water quality and monitor water levels in overhead tanks.
• To implement intelligent pumping control to minimize water wastage and ensure water quality.

Main Methods:

• Utilized an ultrasonic pulse-echo technique for accurate water level detection.
• Employed water turbidity and pH sensors for comprehensive water quality assessment.
• Developed an intelligent control algorithm with three level control (LC_1, LC_2, LC_3) and two water quality check (QC_1, QC_2) conditions.

Main Results:

• The system demonstrated an absolute relative error of less than 10% in tank filling time for volumes under 81%.
• Sensory signal distortion was noted to increase as water levels approached the ultrasonic sensor.
• System response time averaged 3 seconds, with potential for improvement under stable internet conditions.

Conclusions:

• The developed integrated system effectively monitors water levels and quality, enabling intelligent pumping control.
• The system offers a viable solution for reducing water wastage and improving water distribution management in homes.
• Internet connectivity significantly impacts real-time performance, highlighting the need for reliable network services for optimal automation.