To mark World Water Day, IBM and DCU Water Institute have today announced a collaborative research pilot to leverage Internet of Things (IoT) technologies for environmental water monitoring and management. The deployment of DCU sensors with IBM’s machine learning and cognitive IoT technologies will aim to help protect and conserve natural resources and address environmental management issues such as water quality for both freshwater and marine environments.
IBM’s cognitive IoT technologies are able to provide deep learning capabilities for sensor platforms, which ensure quality and reliable data capture under a range of environmental conditions. Advanced analytics embedded in IoT-based sensor platforms, or the sensors themselves, can help detect subtle trends or early detection of environmental changes that may be crucial to public health and safety or remediation efforts.
The collaboration brings together IBM Research efforts in the area of cognitive IoT-based environmental solutions with DCU’s Water Institute expertise and leadership in environmental sensing via the university’s National Centre for Sensor Research (NCSR). As a part of the program, IBM has joined the DCU Water Institute Industry Advisory Council.
IBM scientists are working on integrated IoT solutions to support a myriad of sensors to help better understand and ultimately manage a multitude of ecosystem challenges. These may include water quality changes due to natural, artificial, or climate-related effects. Sensors can measure physical, chemical, and biological parameters to help better understand changes in the environment. Applications may include improved management of pollution from sources such as agricultural or storm water runoff that can affect lakes, rivers, estuaries and marine ecosystems.