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.