1. IoT Based Real-time River Water Quality Monitoring System
- Author
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Mohammad Shahadat Hossain, Mohammad Salah Uddin Chowdury, Subhasish Ghosh, Nurul Absar, Karl Andersson, Abhijit Pathak, Talha Bin Emran, and Mohd. Manjur Alam
- Subjects
Computer science ,Sensors ,Computer Sciences ,Node (networking) ,Real-time computing ,Internet of Things ,Process (computing) ,020206 networking & telecommunications ,Rule-based system ,02 engineering and technology ,Communications system ,Contaminated water ,Water quality monitoring ,Data access ,Datavetenskap (datalogi) ,0202 electrical engineering, electronic engineering, information engineering ,General Earth and Planetary Sciences ,020201 artificial intelligence & image processing ,Big Data Analytics System ,Water quality ,Wireless sensor network ,Real-time ,General Environmental Science - Abstract
Current water quality monitoring system is a manual system with a monotonous process and is very time-consuming. This paper proposes a sensor-based water quality monitoring system. The main components of Wireless Sensor Network (WSN) include a microcontroller for processing the system, communication system for inter and intra node communication and several sensors. Real-time data access can be done by using remote monitoring and Internet of Things (IoT) technology. Data collected at the apart site can be displayed in a visual format on a server PC with the help of Spark streaming analysis through Spark MLlib, Deep learning neural network models, Belief Rule Based (BRB) system and is also compared with standard values. If the acquired value is above the threshold value automated warning SMS alert will be sent to the agent. The uniqueness of our proposed paper is to obtain the water monitoring system with high frequency, high mobility, and low powered. Therefore, our proposed system will immensely help Bangladeshi populations to become conscious against contaminated water as well as to stop polluting the water. Konferensartikel i tidskrift
- Published
- 2019