Citation

Pang, Wai Leong and Yan, Qei Lam and Goh, Hui Hwang and Mouli Chandra, Balapanur and Chung, Gwo Chin and kah, Yoong Chan (2025) Design of a Smart Irrigation System for Green Roofs Using IoT and Sensor Integration. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

Text 59.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

Green roofs have been introduced to solve the increasing risk of urban flooding due to stormwater runoff. It was noted that it can reduce stormwater runoff by retaining approximately 50% of rainfall. However, it was found that only 4 vegetation species can withstand non-irrigated conditions on extensive green roofs and additional irrigation is required in severe drought conditions. Therefore, by implementing a soil moisture sensor, a pH sensor, and an ultrasonic sensor, a smart irrigation system was designed and simulated to automate the irrigation process on extensive green roofs. A total of 4 Operational Amplifier (Op-Amp) comparators were used to control different peripheral devices when the reference voltage was reached. A 555 timer was also used to provide trigger pulses for the ultrasonic sensor to generate ultrasonic wave transmission. The system incorporates four pumps. Pump 1 supplies water from the stormwater basin for irrigation. Pump 2 delivers a sodium nitrate solution for pH regulation. Pump 3 removes filtered stormwater from the basin. Pump 4 supplies a consistent clean water supply. These pumps collectively maintain optimal soil moisture, regulate soil pH, and manage the water level within the basin. The extensive simulation results indicated that the system proposed is working accordingly. The DC motors that were used to resemble the function of the pumps were observed to be working accordingly. However, the simulated duty cycle of the 555 timer was observed to be 0.545% while the theoretical duty cycle is 0.472%, thus resulting in an error percentage of 15.466%. Consequently, a microcontroller or programmable clock source may be integrated to produce the duty cycle with greater accuracy

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Green roof, internet of things, smart irrigation stormwater runoff management
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 05:10
Last Modified:	18 Mar 2026 06:29
URII:	http://shdl.mmu.edu.my/id/eprint/15548

Downloads

Edit (login required)