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IoT in Water Ecosystems

The 2030 Agenda for Sustainable Development, presented by the United Nations, declared “Clean Water and Sanitation”, “Life under water” and “Sustainable Cities and Communities” as crucial goals and priorities for the development of the planet and humanity.


The Water and Environmental Engineer João Rosenstiel has helped Embever identify the enormous potential of IoT in Sustainable Urban Water Systems, Water Leakages and Groundwater Quality, among other fields, as part of our environmental research.


Very innovative systems have been developed and deployed during the last years to optimize the management and analysis of water. Mr Rosenstiel further pointed out the importance of introducing new systems that would automate the collection of data from sensors. Normally, the presence of a professional on site is necessary, either to perform the sampling and analysis or to get the data from stations that perform this analysis but only store it on a hard disk. Such data needs to be collected in specific locations such as river banks or wastewater networks.


The quality of the water that runs into a river after being used in an industrial factory or the pH level in a lake where hundreds of families bathe every summer are examples of the type of data compiled. An IoT Solution developed by Embever would optimize this process by sending automatically and periodically real-time data to a dashboard, which could be consulted from anywhere.

 

The extensive time for validating new technology has also been identified as a clear barrier for innovation in the field. Embever offers a 100-day program to help companies and organizations to validate problems faster and bring new IoT solutions to commercial markets. Embever offers the development of a prototype at a predetermined fixed price in approximately three months.


The benefits of introducing IoT as a tool to collect data are not only reduction of costs and time but also a contribution for local, regional and national governments to make fact-based decisions.



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