AquaSense

AquaSense enables real-time water quality monitoring for water authorities, environmental agencies, and industrial clients in urban and rural settings. Deployed across 20 sensors(10 urban, 10 rural), it captures critical parameters like pH and turbidity every 10 seconds to detect contamination events, such as industrial discharges or agricultural runoff. Integrated with NebulOuS’s Meta-Operating System, AquaSense operates a three-step IoT pipeline: sensors transmit data via MQTT to Mosquitto servers on edge devices (Raspberry Pi 4), where ThingsBoard preprocesses it, computing 1-minute averages and ltering noise to reduce cloud data by 20%. Processed data is analyzed by a cloud-based TensorFlow LSTM model, achieving 95% anomaly detection accuracy within 5 seconds. NebulOuS’s IoT Pipeline Orchestrator scales preprocessing (1–4 ThingsBoard instances) and AI modules (2–8 instances) during workload spikes (100–1000 readings/sec), ensuring <2-second latency and 99% uptime. Alerts are delivered via REST APIs or dashboards, enabling rapid response to contamination, reducing health risks for communities, and ensuring compliance with regulationslike the EU Water Framework Directive. By prioritizing edge processing for urban sensors (70% of load), AquaSense cuts cloud energy use by 30%, supporting UN SDG 6 (Clean Water and Sanitation). Its scalable, containerized architecture positionsit for broader applications, including air quality monitoring and smart agriculture, enhancing environmental sustainability across diverse ecosystems.