Smart system for water quality monitoring utilizing long-range-based Internet of Things

Autor: Muhammad Ary Murti, Andi Rudi Adhy Saputra, Ibnu Alinursafa, Ali Najah Ahmed, Ayman Yafouz, Ahmed El-Shafie
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Water Science, Vol 14, Iss 4, Pp 1-12 (2024)
Druh dokumentu: article
ISSN: 2190-5487
2190-5495
DOI: 10.1007/s13201-024-02128-z
Popis: Abstract Water is the most basic need for humans and a source of livelihood for humans. Lack of human awareness to maintain water quality, causing water to become polluted, by both industrial and household waste, impacts on human health and material loss. Thus, it is important to create technology that can monitor water pollution automatically and quickly. This research aims to create a system which utilizes the Internet of Things (IoT) technology that can facilitate quality of water by measuring parameters such as pH and turbidity. The methodology of the system progresses by the usage of a controller which is ATmega328P-AU, pH sensor to measure acidity, turbidity sensor to measure turbidity level, LPWAN LoRa works like a communication of data transmission as well as cloud service, namely Antares, to store data that are sent via Android. Based on the outcomes, the proposed system has achieved a reliable accuracy with percentage error of 99.73% in pH sensor and 99.41% in the turbidity sensor. Also, 2.6 s is the average required time to deliver the results to the cloud service.
Databáze: Directory of Open Access Journals
Externí odkaz: