This chapter describes a complete IoT system for domestic
and small-scale smart water management that integrates three capabilities:
non-contact tank level monitoring; flow-based sealed leak detection with
occupancy awareness; and automatic rainwater harvesting. A Wi-Fi-enabled
microcontroller integrates sensor inputs and manages local alerts and
actuators; a cloud dashboard (Blynk) provides a real-time view, notifications
and remote control. This modular, inexpensive system is designed for ease of
installation on standard rooftop/storage tanks while allowing user-defined
thresholds and operational modes (Home/Away) to reduce noticeable false alarms.
The architecture emphasises affordability and practicality, ensuring that it
can be adopted even in resource-constrained settings. The design philosophy
focuses on simplicity, reliability, and long-term usability. Bench test results
in a simulated home environment are illustrative of a reliable system: level
estimation remained within ~5% of manual level measurement; leak events
prompted action within a remarkable time when Away mode was on; rain-induced
lid actuation completed in a matter of seconds. The local buzzer/LED alerts
perform as required during a network failure and restore automatically when
service is restored. The integration of monitoring, anomaly detection, and
harvesting into a single architecture minimises manual engagement, mitigates
avoidable loss, and encourages more sustainable use of both stored and
harvested water. In addition to benefits for the individual household, this
approach is also aligned with larger sustainability objectives. It permits
data-driven conservation and creates a retrofit pathway for legacy tanks. This
chapter describes the design, implementation, and evaluation of the prototype,
practical considerations, future upgrade paths (e.g., predictive analytics, implementation
of a backup power source for the actuators, pathway to scaling functionality to
multi-tank scenarios, or community-based designs) to facilitate real-world
implementation and future research investigations.
Author(s) Details
Sumit Singha Chowdhury
Department of MCA, Acharya Institute of Technology, Soladevanahalli,
Bengaluru, India.
Rakhshita B
Department of MCA, Acharya Institute of Technology, Soladevanahalli,
Bengaluru, India.
K Ramesh Adiga
Department of MCA, Acharya Institute of Technology, Soladevanahalli,
Bengaluru, India.
Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-88417-94-5/CH1
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