Conceptual and design framework for smart stormwater filtration

• Main Authors: Ali, A.N.A (Author), Bolong, N. (Author), Khan, M.Y.M.A (Author), Maarof, K.A (Author), Tanalol, S.H (Author)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc., 2020
• Subjects: Artificial intelligence; Cost effectiveness; Data acquisition; Design frameworks; filtration; Filtration mechanism; Internet of things; IoT (internet of things); Program processors; Rapid urbanizations; real-time; sensors; Storm sewers; Storms; stormwater; Stormwater characteristics; Stormwater quality; Waste management; Water levels; Water quality; Water quality parameters; Wi Fi networks; Wi-Fi; Wireless local area networks (WLAN); Wireless network technologies
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 9781728169460 (ISBN)
• DOI: 10.1109/IICAIET49801.2020.9257828

Cost-effectiveness in monitoring stormwater quality is challenging in practice, particularly when it involves filtration mechanisms on-site. These challenges arise due to variance in stormwater characteristics, which are lead by rapid urbanization and improper waste management. Hence, an alternative conceptual and design framework of utilizing the concept of IoT (Internet of Things) in monitoring the real-time stormwater quality filtration is discussed. The stormwater quality can be monitored in real-time through data acquisition from wireless network technology in the IoT. ESP32 microcontroller is delegated as the central processing unit for the system. Then, collected data from the sensors of main water quality parameters, including temperature, pH, conductivity, water level, and turbidity, are processed and sent to the webserver while updating the collected data at specified time intervals. It can be remotely accessed via WiFi or GPRS protocol (when WiFi network is not available), regardless of the time and place. © 2020 IEEE.