IoT based Water Quality Monitoring System and Evaluation
| Autor: | Solahuddin Yusuf Fadhlullah, Samihah Abdullah, Nor Adni Mat Leh, Zuraida Muhammad, Ahmad Mustaqim Abdu Rahim, Shabinar Abdul Hamid |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Ph level
business.industry media_common.quotation_subject 05 social sciences 0507 social and economic geography Environmental engineering Monitoring system Smart water 010501 environmental sciences 01 natural sciences Water temperature Environmental science Quality monitoring Quality (business) Water quality Internet of Things business 050703 geography 0105 earth and related environmental sciences media_common |
| Zdroj: | 2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). |
| DOI: | 10.1109/iccsce50387.2020.9204931 |
| Popis: | An extreme pH level of the swimming pool water can cause a serious reaction to eye and skin of the users. The existing method for monitoring the water pH level at Seberang Jaya Public Swimming Pool is not efficient enough to monitor the quality of the water as all the processes need to be executed manually. This paper discusses the proposed Smart Water Quality Monitoring System (SWQMS) design, and the evaluation of factors influencing pH value and temperature of swimming pool using DOE and ANOVA statistical tools. The experimental findings reveal that time of day, pool volume and their interaction factors do not influence the pH value however time of day does have an effect on the water temperature of the swimming pool. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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