AQUAview is a powerful web-based IoT platform designed to collect, manage, and analyze real-time data across a wide range of applications including environmental monitoring, water quality monitoring, flow and level measurement, flood monitoring, and meteorological observation. The platform provides secure online access through web browsers and mobile devices, enabling stakeholders to monitor assets, review trends, and make informed decisions from anywhere.
Built on a scalable architecture that combines relational databases with advanced data processing technologies, AQUAview supports deployments ranging from single-site installations to large, multi-server, geographically distributed networks. It seamlessly integrates with field sensors, controllers, and data loggers using standard industry protocols, allowing both new and legacy systems to operate within a unified monitoring ecosystem.
AQUAview incorporates advanced Artificial Intelligence and Machine Learning capabilities to move beyond simple data visualization. By analyzing historical patterns, seasonal variations, and external influencing factors, the platform can detect anomalies, forecast trends, and predict potential events such as water contamination risks, abnormal flow conditions, rising flood levels, or changing weather patterns. These predictive analytics tools enable proactive decision-making, early warning generation, and optimized resource management.
Through intelligent dashboards, GIS-based mapping, automated alerts, and predictive insights, AQUAview transforms raw monitoring data into actionable intelligence, supporting sustainable operations and enhanced environmental resilience.