Design of Data Collect System for Cloud Computing of Rivers Quality and Level

This research focuses on designing a system to collect data through cloud computing to study and analyze the results. The data collection system aims to monitor the turbidity impurities and the levels of a group of rivers or the level of a single river in several places, through designing and implementing an automated operating system that can be controlled via the Internet, enabling it to operate this system completely and safely using Wired/wireless such Wi-Fi networks to achieve a connection with the Internet. The proposed system consists of turbidity impurity sensors and ultrasonic sensors. The sensors enable it to determine the percentage of impurities and the level of water rise in rivers. Raspberry Pi is the main component in connecting these sensors to the cloud service. As a result of the expansion of the Internet's high-speed communication protocol, Google was the first invented Firebase as a cloud platform for users to use. Firebase module stores sensor’s data and transfers it to cloud server database via Javasecript and Mysql formats to web server. The user’s web page is designed using HTML/CSS with a distinctive and simple interface. The system is implemented with a high degree of reliable and latency accuracy where the readings are updated and displayed automatically. The proposed designed system has efficiency, safety, and real time response speed, and is controlled automatically and manually at the same time.