The technology is primarily targeting the following water based sectors, although not limited by them:
- Environmental monitoring (open water bodies in ecologically sensitive areas; water reservoirs; rivers, lakes; waste water monitoring, ground water monitoring);
- Aquaculture (Extensive, semi-intensive aquaculture farms; Land based aquaculture; Controlled environment aquaculture).
- Complex water resources management based on the basin approach, providing continuous assessment of the individual characteristics of each section of the water body and compliance with standards
- Integrated assessment of the ecological status of the reservoir within each river basin in accordance with the EU Water Framework Directive 2000/60/EC
- Free access to environmental information
The SmartWater system leverages the set of immersion IoT devices equipped with sensors which measure the water quality parameter such as pH, turbidity, conductivity, dissolved oxygen, temperature. Device is designed as a tube (external capsule) and module stack with equipment supporting structure (internal capsule). The external capsule is hermetically sealed.
The basic idea is to place the capsule directly into the water and obtain data using preplanned sensors activation schedule. All instrumentation equipment is placed on the module stack inside the tube.
Assembly blueprint of the SmartWater immersion device
The SmartWater dashboard combines and displays data from various IoT devices spatially and graphically.
The decision-making process for water purification from pollutants includes real-time data monitoring to detect changes in water quality. This requires a deep understanding of the relationship between the quality of water and the need for its adjustment. Similarly, the task of detecting pollution incidents, to support the optimization of cleaning processes, can be used in two ways: the analysis of threshold values and the use of models to perform cleaning processes.
We use statistics and machine learning for
- real-time surface water pollution risk and impacts analysis
- contamination models
- flood models to simulate what would happen if an incident like a water main burst occurs
- purification process models to determine the necessary steps to regulate the process, for example, chemical dosage of substances to support optimal purification.
The monitoring of the long-term threats to water quality is based on continuous analysis of data over several years to identify trends and ongoing changes in the baseline scenario. The information received from the monitoring system can help in developing strategies to respond to the deterioration of water quality. In the long run, a systematic analysis is performed to determine if the baseline for several parameters has been changed at a specific location where the metering station is located and how the baseline for this parameter has changed in several places.