Water quality monitoring system with multi-parameter iot sensor nodes for proactive water resource management

Goal of waqumos project is development of on-line system for monitoring quality of class i freshwaters, running above ground and underground.System consists of multi parameter stand-alone iot sensor nodes connected to cloud based data warehouse with artificial intelligence pattern recognition engine

Goal of WaQuMoS project is development of on-line system for monitoring high quality (class I, according to WHO/EEC standards) freshwaters, running above ground and underground. System consists of multiparameter stand-alone IoT sensor nodes connected to cloud based data warehouse with Artificial Intelligence pattern recognition engine and user interface. We are addressing pain of occasional (sometimes frequent) pollution of high quality class I freshwaters, running above ground and underground. This negative impact of human activities (tourism, agriculture, industry) on natural heritage, specifically clean fresh running waters, are not easily measured and evaluated. All stakeholders need hard scientific data from the field to understand and model negative impacts of human activities in natural environment and to provide corrective measures to prevent such negative impacts and also monitor positive effects of corrective measures. Water is critical resource globally. Even in The Alps, where fresh water is aboundant, fragile water environmens are under stress due to climate changes and pressures caused by human intervention. Most important possible sources of fresh water pollution with regards to Tourism are: ski resorts, golf courses and massive mountain tourism. To be able to to minimise the number of harmful consequences of pollution and damage to the environment and to be more responsive with efficient mitigation measures, proactive managment of water resources is needed. Proactive management can only be based on good understanding of sources and reasons for pollution. Therefore advanced monitoring with higher spatial and temporal frequency and early warning systems for reasonable cost of ownership is needed. To improve our understanding we need solid real-time data about water quality status of springs, streams and rivers with sampling time short enough (cca 1 hour) so that we can detect pollution events and remediation phase afterwards. This on-line data must be validated and combined with off-line data from parallel measurements and laboratory analysis. We offer faster and economical detection of pollution events or environmental changes that could harm fragile nature environment. On-line data from energy-wise self sufficient and financially available sensor nodes combined with off-line data from laboratories and connected with meteorological and other public data will enable better understanding of harmful or beneficial events. This will enable faster response on pollution events or changes caused due to extreme climate conditions and will make proactive water resource management possible. In Slovenia, clean running waters are protected as natural heritage. They are also very important in the framework of the Strategic Vision For Slovenian Tourism till 2021 (and hopefully beyond), which states that Slovenia is a global green boutique destination for demanding guests and that the most important product in terms of its impact on revenues and image is Holidays in the Mountains and Outdoor. Serbia has currently 26 ski resorts and 2 golf courses, so currently main problem are ski resorts like Kopaonik and Zlatibor. Zlatibor area is very popular tourist destination and a source of small rivers, most important is Crni Rzav, tributary to Drina river. The construction of wastewater treatment plant at mountain Zlatibor is expected to end in December 2018. The project should solve issue of wastewater disposal in this part of Western Serbia.
Project ID: 
13 044
Start date: 
Project Duration: 
Project costs: 
1 170 000.00€
Technological Area: 
Measurement and Detection of Pollution
Market Area: 
Other AI related

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