Smart monitoring of the world's most precious resource.
Autonomous water quality monitoring with smart surface robots
The Subnero Water Assessment Network (SWAN) is a network that provides real-time monitoring and analysis of water quality at various depths along with the ability to collect water samples and can span across diverse assets, including SwanBots, sensor nodes, and data analytics systems.
Let’s take a look at how SWAN solves today’s challenges in water quality monitoring.
- Large datasets enable advanced data analytics methods for preventive controls.
- Faster identification of hotspots leads to quicker response times on tackling potential issues.
- Simultaneous coverage over large areas using networked operations powered by SWAN's Bevy Intelligence.
- Carbon-free and eco-friendly. Runs on rechargeable batteries.
- Minimal need for human intervention.
- Up to 10x cost savings per sample.
Common problems with traditional methods of water sampling
- Labour-intensive
- Lacks in-field data processing capability
- Lacks real-time monitoring
- Insufficient data for trend analysis
- Costly operations
Applications of SWAN
Water quality monitoring
Critical water parameters in large and remote water bodies can be monitored continuously and in real-time, without the need for human intervention.
Hotspot detection
Problematic areas of the water body can be identified and alerted to the user quickly, in the form of notifications or heatmaps on the UI.
Remote surveillance
Images captured by the SwanBot’s camera are available in real-time to the user, making it perfect for surveillance of wildlife or suspicious activities.
Safer environments with SWAN
Monitoring dissolved oxygen
The amount of dissolved oxygen in water has to maintain certain levels as it has an immense impact on aquatic life.
SWAN generate alerts based on user settings, which notifies the user when dissolved oxygen levels go beyond a threshold value, for corrective measures to be taken in time.
Monitoring blue green algae
Algae is a growing concern worldwide. An outbreak in blue green algae can cause a prolonged, damaging impact on local water supplies and leisure activies.
SWAN helps to predict the onset of algae blooms by monitoring chlorophyll-a and blue green algae levels, while providing historical data for trend analysis.
Components of SWAN
A portable Unmanned Surface Vessel (USV) that navigates the water surface for real-time data collection. A SwanBot is equipped with the following.
SwanSampler
A watertight container that captures water samples of 1 liter capacity at 1-2 selected locations.
Camera
A HD camera that captures images that is displayed to the user in real-time.
SwanSense
Third party industry-standard that which can be integrated to the system for monitoring multiple parameters.
The cloud-based decision support system powered by Unetstack, for executing intelligent missions in the SWAN, as well as visualizing the collected water quality data on SwanViz User Interface (UI).
SwanViz
Web based UI for mission planning and data visualization which is accessible via desktop and mobile.
Bevy Intelligence
Intelligent plug-ins for multi-node data analysis and path planning.
Robust communication links in the cloud provide real-time updates through technologies such as Disruption Tolerant Networking (DTN) technology. DTN is incorporated in SWAN to ensure that data is not lost during intermittent or limited network connectivity.
Third party nodes
Third party nodes such as drones, smart buoys, or other ASVs, that can be linked to SwanCloud for centralized data visualization on the SwanViz UI.
SWAN in action
Monitor water quality in 3 simple steps:
1. Select a mission.
2. Deploy the SwanBot.
3. Start the mission.
