Multi-sensor system for monitoring of river water pollution

• Autorzy: Kadir Evizal Abdul , Irie Hitoshi , Rosa Sri Listia , Othman Mahmod

Identyfikatory

DOI

10.15199/48.2020.04.12

Warianty tytułu

PL

Wieloczujnikowy system do monitorowania zanieczyszczeń wody w rzece

• Języki publikacji: EN

Abstrakty

EN

Rivers play significant roles in communities, including as source of drinking water and for transportation and other daily activities. However, water pollution is a major problem in several communities, with significant negative consequences to health and well-being and socioeconomic development. This research, therefore, aimed to design and develop a system with multiple sensors to monitor river water pollution because most communities use river water in their daily activities. In the design and development of the system, multiple sensor nodes were installed for the detection of water pollution parameters such as temperature, Electrical Conductivity (EC), water pH, and Dissolved Oxygen (DO). The system was designed to monitor river water pollution parameters and send the information to the data centre (backend system). Arduino microcontroller was used to process and filter the data before sending to the backend system. Only valuable information was collected and kept in the database. Results show that the system was able to detect polluted water by showing the parameters of interest in a graph. The polluted water indicators were mostly contributed from residential waste and industries. This work has furnished progress in the development and validation of appropriate technologies for tackling river water pollution. In the future, WSNs sensors will be deployed in some areas and the results across the different areas will be compared. Furthermore, the Internet of Things (IoT) Technology will be used for data sharing and communication.

PL

Rzeki odgrywają znaczącą rolę w społecznościach, w tym jako źródło wody pitnej oraz transportu i innych codziennych czynności. Zanieczyszczenie wody stanowi jednak poważny problem w wielu społecznościach, co ma znaczące negatywne konsekwencje dla zdrowia i dobrostanu oraz rozwoju społeczno-gospodarczego. Dlatego te badania miały na celu zaprojektowanie i opracowanie systemu z wieloma czujnikami do monitorowania zanieczyszczenia wód rzecznych, ponieważ większość społeczności wykorzystuje wodę rzeczną w codziennych czynnościach. Podczas projektowania i rozwoju systemu zainstalowano wiele węzłów czujnikowych do wykrywania parametrów zanieczyszczenia wody, takich jak temperatura, przewodność elektryczna (EC), pH wody i rozpuszczony tlen (DO). System został zaprojektowany do monitorowania parametrów zanieczyszczenia wód rzecznych i wysyłania informacji do centrum danych (system zaplecza). Mikrokontroler Arduino został użyty do przetwarzania i filtrowania danych przed wysłaniem do systemu zaplecza. Tylko cenne informacje zostały zebrane i przechowywane w bazie danych. Wyniki pokazują, że system był w stanie wykryć zanieczyszczoną wodę, pokazując interesujące parametry na wykresie. Wskaźniki zanieczyszczonej wody pochodziły głównie z odpadów mieszkaniowych i przemysłu. Prace te zapewniły postęp w opracowywaniu i zatwierdzaniu odpowiednich technologii przeciwdziałania zanieczyszczeniu wód rzecznych. W przyszłości czujniki WSN zostaną wdrożone w niektórych obszarach, a wyniki w różnych obszarach zostaną porównane. Ponadto do wymiany danych i komunikacji zostanie wykorzystana technologia Internetu przedmiotów (IoT).

Słowa kluczowe

EN

multiple sensor; WSNs; river water; pollution; monitoring

PL

zanieczyszczenie wody; czujnik; rzeka; monitorowanie czystości wody

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 4
• Strony: 62--66
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Kadir Evizal Abdul

• Department of Informatics Engineering, Faculty of Engineering, Universitas Islam Riau, Pekanbaru, Indonesia 28284

autor

Irie Hitoshi

• Center for Environmental Remote Sensing (CEReS) Chiba University, Chiba, Japan

autor

Rosa Sri Listia

• Department of Informatics Engineering, Faculty of Engineering, Universitas Islam Riau, Pekanbaru, Indonesia 28284

autor

Othman Mahmod

• Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia 32610

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).