There are significant requirements for environmental
monitoring and fish feeding logs when managing an aquarium, which can also be
tedious and error-prone for the caregiver/technician. The rapid adoption of
Internet of Things (IoT) technologies opens up exciting new opportunities for
aquarium management by automating tasks that will allow the environment to
remain stable for the aquatic life. This chapter discusses the design and
evaluation of a Smart Aquarium System that can automate fish feeding and monitor
temperature, pH, turbidity, and water level, as well as real-time connectivity
via the cloud. An ESP32-CAM module was also integrated into the system, which
transmits live video and images, so fish and how the system is functioning can
be observed remotely. The Smart Aquarium system was tested under various
operating conditions to evaluate accuracy, responsiveness, and reliability. The
results showed it had a feeding accuracy of 96.4%, temperature maintained to a
range of ±0.5 °C, pH was reliably detected in the 6.0–8.0 range, turbidity
results were reported in NTU units, and the water level stabilised within a
range of ±1 cm, respectively. Cloud-based data transfer was accomplished with
an average latency of less than 200 ms, which supported effective real-time
cloud and local visualisation and control. Safety procedures, such as dry-run
prevention for a pump and fault-detection for sensors, were established to
enhance reliability. Overall, the results suggest that IoT-based smart
aquariums indicate a reduction in manual workload, improve user management of
aquatic health and potentially be a low-cost tool for users, including
aquaculture operators and hobbyists.
Author(s) Details
Hanamant R Jakaraddi
Department of MCA, Acharya Institute of Technology, Bangalore- 560107,
India.
Anurag O
Department of MCA, Acharya Institute of Technology, Bangalore- 560107,
India.
Vivek R Venkatesh
Department of Computer Applications, Acharya Institute of Graduate Studies,
Bangalore-560107, India.
Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-88417-94-5/CH4
No comments:
Post a Comment