IBM and DCU call on the internet of things to save the world’s water

22 Mar 2017105 Shares

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IBM’s deep dive into the ‘internet of things’ with DCU certainly holds water

IBM and Dublin City University (DCU) are joining forces in a collaborative R&D pilot to leverage the internet of things (IoT) to help protect the most precious natural resource of them all: water.

The university and the tech giant, known in the industry as Big Blue, revealed the pact today (22 March) to coincide with World Water Day.

The collaboration brings IBM Research efforts in the area of cognitive IoT-based environmental solutions  together with DCU’s Water Institute expertise and leadership in environmental sensing via the university’s National Centre for Sensor Research (NCSR). As part of the program, IBM has joined the DCU Water Institute Industry Advisory Council.

Waste not water not

The collaboration will focus on newly developed DCU sensor technologies, which could 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 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.

“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,” said Harry Kolar, distinguished engineer, IBM Research.

“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,” Kolar added.

Big Blue and the water machines

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.

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.

IBM and DCU Water Institute will be selectively piloting these technologies in Ireland and in the US. The first sensors are being deployed on Lake George in New York state in conjunction with the ongoing Jefferson Project at Lake George.

“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.

Editor John Kennedy is an award-winning technology journalist.

editorial@siliconrepublic.com