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The LIS-platform, a BIM-based software platform, is being developed to monitor various aspects of buildings. This platform provides a comprehensive overview of structu...
The autonomous river environment analysis system (AREAS) consists of a set of floating mini power plants and server stations. The power plants are located along the river. They generate green electricity from the kinetic energy of flowing water.
Our innovation targets river floods, droughts, and multi-hazard scenarios, particularly focusing on the risk of elevated pollutant concentrations in water and air. This issue arises during floods when contaminants are washed into water bodies, and during droughts when pollutants become concentrated due to reduced water volumes. The innovation features an autonomous system for frequent, multi-point monitoring of water and air quality along rivers, providing real-time data every minute. Utilizing artificial intelligence, the system automatically transforms this data into actionable insights for stakeholders, offering early warnings, information on pollutant locations and movements, and generating forecasts and trends. Additionally, it supports long-term data collection and analysis to improve environmental management strategies. The innovation also contributes to sustainability by generating green electricity for external use, making it a comprehensive solution for mitigating environmental risks related to water and air quality.
See more information about this level and the TRL and SRL levels.
• Education and capacity building – sharing data and analysis results for teaching and research purposes, especially for the development of measurement methods and analysis of the results obtained (e.g. new mathematical models for new, diverse applications.
• Management structures and social or behavioral changes – unrestricted and continuous access to sensitive data on the state of the aquatic environment, i.e. parameters of water and waterside air, will change both the management structures of this environment and cause social changes and justify behavioral factors.
• Water savings and efficiency of water use – knowledge of data and analyzes from the system will allow for better use of water, especially as a result of the possibility of assessing the degree of pollution and forecasting this pollution.
• Cross-sectoral approaches to resource management – knowledge of data will allow to locate potential emitters of water pollution, e.g. as a result of excessive fertilization of fields with digestate from biogas plants. Eliminating this threat requires cross-sectoralcooperation.
• Water management systems – here, the knowledge of data on water and air pollution, together with the knowledge of the dynamics of their movement, allows for the improvement of water management systems, for example through the selection of more adequate methods of its treatment (e.g. in drinking water treatment plants).
The innovation was developed independently as a result of discussions with specialists from various fields such as engineering, energy, environmental protection, law.
Innovation can be less effective when power plants are not driven by flowing water, and this can happen locally at relatively low temperature.
The autonomous river environment analysis system (AREAS) consists of a set of floating mini power plants and server stations. The power plants are located along the river. They generate green electricity from the kinetic energy of flowing water.
Our innovation targets river floods, droughts, and multi-hazard scenarios, particularly focusing on the risk of elevated pollutant concentrations in water and air. This issue arises during floods when contaminants are washed into water bodies, and during droughts when pollutants become concentrated due to reduced water volumes. The innovation features an autonomous system for frequent, multi-point monitoring of water and air quality along rivers, providing real-time data every minute. Utilizing artificial intelligence, the system automatically transforms this data into actionable insights for stakeholders, offering early warnings, information on pollutant locations and movements, and generating forecasts and trends. Additionally, it supports long-term data collection and analysis to improve environmental management strategies. The innovation also contributes to sustainability by generating green electricity for external use, making it a comprehensive solution for mitigating environmental risks related to water and air quality.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
• Education and capacity building – sharing data and analysis results for teaching and research purposes, especially for the development of measurement methods and analysis of the results obtained (e.g. new mathematical models for new, diverse applications.
• Management structures and social or behavioral changes – unrestricted and continuous access to sensitive data on the state of the aquatic environment, i.e. parameters of water and waterside air, will change both the management structures of this environment and cause social changes and justify behavioral factors.
• Water savings and efficiency of water use – knowledge of data and analyzes from the system will allow for better use of water, especially as a result of the possibility of assessing the degree of pollution and forecasting this pollution.
• Cross-sectoral approaches to resource management – knowledge of data will allow to locate potential emitters of water pollution, e.g. as a result of excessive fertilization of fields with digestate from biogas plants. Eliminating this threat requires cross-sectoralcooperation.
• Water management systems – here, the knowledge of data on water and air pollution, together with the knowledge of the dynamics of their movement, allows for the improvement of water management systems, for example through the selection of more adequate methods of its treatment (e.g. in drinking water treatment plants).
The innovation was developed independently as a result of discussions with specialists from various fields such as engineering, energy, environmental protection, law.
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