IBM has teamed up with the Dublin City University (DCU) Water Institute to test out Internet of Things (IoT) technologies for environmental 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.
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.
The collaboration brings together IBM Research efforts in the area of cognitive IoT-based environmental solutions with DCU's Water Institute expertise in environmental sensing via the university's National Centre for Sensor Research (NCSR).
IBM and DCU Water Institute will be selectively piloting these technologies in Ireland and in the United States. The first sensors are being deployed on Lake George in New York State in conjunction with the ongoing Jefferson Project at Lake George.
"Over the next few years, we believe that Internet of Things technologies will play an important role in helping protect the environment and natural resources. At IBM Research, we are excited to leverage IBM's expertise in cognitive and IoT environmental monitoring and management with the DCU Water Institute to help advance the future of water management," said Harry Kolar, Distinguished Engineer at IBM Research.
The collaboration will focus on newly developed DCU sensor technologies that can have the potential for monitoring several key aspects of water quality at costs significantly lower than current commercial technologies. This new generation of sensors, when combined with IBM's environmental IoT platform may eventually help provide significant benefits for water management on a global scale.
"The technologies developed during this important collaboration will aim to disrupt the current norms of costly sensors limiting their distribution at IoT scale to provide really valuable information which supports better decision-making about our valuable water resource," said Professor Fiona Regan, Director of the DCU Water Institute.
www.dcuwater.ie
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