Inland Water Quality Data Intelligence

WaterSense
R&D Projects

Research that makeswater visible.

We combine deep-tech research with practical field work to build the sensing, software and intelligence systems that inland waters need.

Deep tech

Built for real conditions

Inland waters

Rivers, lakes and catchments

Live data

From measurement to action

What we build

From first principlesto field-ready systems.

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HYDROSTRATEG IINCBR

Project Title

Autonomous System IoT for Water Quality Monitoring and Operational Support in Threats Identification

Project Acronym

ASIR

Project description

The goal of the project is to develop and introduce to the market an innovative Autonomous Internet of Things (IoT) System for Water Quality Monitoring and Operational Support for Threat Identification adapted to river environment conditions, operating continuously. This system integrates three components that are innovative on a global scale:

(1) Autonomous Measurement Station – monitoring 10 key physicochemical water parameters such as: pH, chlorides, nitrates(V), ammonium ions, orthophosphates(V), conductivity, oxygen, water temperature, flow velocity, depth. Seven of these will be measured using the patent technology (P.446260) of the applicant, with a roller system module equipped with several hundred disposable and inexpensive miniature sensors that do not require calibration or cleaning. After a sensor loses its analytical parameters, it is automatically replaced with a new one. The continuity of operation for 365 days a year is ensured by a micro-hydroelectric generator powered by flowing water and the heating of electronic systems for stable operation in winter conditions.

(2) Smart Cloud-based Management System for Measurement Stations (SCMS-MS) – a platform for monitoring, managing, and analyzing data equipped with AI modules that identify anomalies and predict water parameter values 72 hours in advance.

(3) Interactive National River Pollution Risk Map – a tool supporting the selection of an optimal measurement plan and the proper placement of measurement stations in the area under study.

The project is being carried out by an experienced interdisciplinary consortium consisting of Warsaw University of Technology – Leader, IMGW-PIB, and companies MAGLY and NEBUCODE. The commercialization model based on the low cost of the measurement station and a subscription offer tailored to the needs of different recipients will make the developed system available to every interested party.

Programme

HYDROSTRATEG II

Timeline

1 September 2024 – 30 August 2027

Total value

PLN 25,085,394.93

NCBR funding

PLN 22,178,017.24

Own contribution

PLN 2 907 377,69

Consortium

Warsaw University of TechnologyInstitute of Meteorology and Water ManagementMAGLYNEBUCODE
Our approach

Curious in the lab.Practical in the field.

Every R&D project starts with a real water challenge. We test assumptions quickly, build with the constraints of the field in mind and keep learning from the systems we deploy.

Sensor systems and low-power electronics
Time-series data and environmental modelling
Edge computing and resilient connectivity
Decision support for water-dependent organizations
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