Smart Sensors and IoT-based LoRaWAN Integration for Water Metering in Smart Cities
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Abstract
This research presents the integration of smart sensors and IoT (Internet of Things) for water usage data collection, anomaly detection in water volume, and meter theft prevention. It compares two types of sensors: inductive proximity sensors and smart sensors. The study analyzes the performance and accuracy of each sensor and assesses their suitability for use in smart city systems. The experimental results indicate that both sensors are accurate compared to traditional mechanical meters, and the data can be stored and displayed on the cloud. The smart sensor can detect water flow direction and prevent meter theft, enabling consumers and producers to closely monitor water usage and ensure accurate billing. This can be applied to the development and utilization of technology to improve water management efficiency in smart city systems.
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