International Journal on Future Revolution in Computer Science & Communication Engineering · 2019 · 17 citations · 0 references
Open access
ComputingEnvironmental EngineeringInformation TechnologyInternet Of ThingsSensorsWater Quality EngineeringIot Data AcquisitionIot Embedded SystemsIot SensorsSensor NetworksWater QualityWireless Sensor NetworksInternet Of Things SensingInternet Of Things SensorsInternet Of Things-based MonitoringReal-time ProcessingSafe Drinking WaterWater Quality MonitoringWater Quality SensorsWi-fi Sensing
Water pollution is rising worldwide, making real‑time remote monitoring of water quality through wireless sensor networks essential for efficient environmental management. The study introduces a reconfigurable sensor interface device to develop a smart water quality monitoring system within an IoT environment. The system employs an FPGA‑based reconfigurable sensor interface, Zigbee wireless modules, and a PC, programmed in VHDL and C, to acquire and transmit six water quality parameters (pH, level, turbidity, humidity, CO₂, temperature) in real time.
Since water pollution is increasing globally so the implementation of water quality monitoring is effective and efficient with increasing the development of wireless sensor network (WSN) technology in the internet of things (IoT) environment. Water quality monitoring is remotely monitoring by real-time data acquisition, transmission, and processing. This paper presents a reconfigurable sensor interface device for monitoring water quality systems with an IoT environment for the developing smart water quality monitoring system (SWQM). We are using field programmable array (FPGA) design board, sensors, Zigbee based wireless communication module, and personal computer. The FPGA board is the core component of the developing system and it is programmed with VHDL (very high speed integrated circuit hardware description language) with using Quartus – II software and Q sys tool by using C language. We are considering the six parameters of water data like water pH, water level, turbidity, humidity, carbon dioxide (CO2) on the surface of water and water temperature in parallel real-time bases with high speed from multiple different sensors nodes.