Wireless Sensors Announces Technology Innovation

Wireless Sensors today announced the completion of an interdisciplinary research project conducted at Florida Atlantic University's (FAU) National Science Foundation Industry/University Cooperative Research (NSF I/UCRC), Center for Advanced Knowledge Enablement (CAKE). The FAU CAKE operates as a site of the Florida International University center to conduct industry sponsored research into advanced analytical solutions for real world industrial problems. Wireless Sensors is a sponsoring member of the FAU NSF I/UCRC, CAKE.

The goal of this year long project was to apply advanced analytical algorithms to data provided by wireless environmental sensors to optimize data center cooling systems and validate the efficacy of this combination. Wireless Sensors collaborated with Aware Technology and Applied Math Modeling during the course of the project leveraging Aware's patented machine learning technology and Applied Math Modeling's expertise in computational fluid dynamics. The principal investigator on the project from the CAKE center was Ionut Cardei, Ph.D., associate professor of FAU's department of computer and electrical engineering and computer science.

The FAU College of Engineering and Computer Science data center located in Engineering East, the college's LEED© (Leadership in Energy and Environmental Design) Platinum level standard green building became the test bed and was heavily instrumented with Wireless Sensors Rack Sentry wireless environmental sensors.

"Data Center managers understand the value derived from very granular measurements of environmental conditions and wireless provides this at the lowest TCO" states Paul Richards, Wireless Sensors' CEO, "but they struggle with how to manage all this new data and extract actionable information from the noise. Our SensiNet system utilize self learning algorithm's to operate and we were convinced this approach could be applied to the data we deliver to create a cutting edge solution to data center cooling efficiency. We sought collaborations with the brightest minds in the area of Big Data and Predictive Analytics and hit a home run with our affiliations with Aware Technology, Applied Math Modeling and the FAU NSF I/UCRC, CAKE. I like to think of it as the perfect storm of innovation and am really jazzed by the results. You can expect to see market ready solutions released over the coming months based on this work".

Cardei's team of investigators studied how best to apply advanced analytics to sensor data in novel ways with the specific goal of optimizing data center cooling systems. "Optimizing a data centers cooling system is a remarkably complex problem" according to Cardei. "The fundamental requirement of the cooling system is to keep IT equipment operating within acceptable environmental limits and is accomplished quite easily with conventional controls, but this simplicity is often at the expense of efficiency. A modern data center is a dynamic operation with massive variations in thermal loads and multiple control elements operating simultaneously and requires a lot of sensor data in order to make reasonable control decisions. This volume of sensor data tends to overwhelm conventional techniques and we felt application of machine learning strategies such as clustering algorithm's and computational fluid dynamics could extract meaningful information from data in real time and the project validated this".

The FAU NSF I/UCRC, CAKE was established to conduct industry relevant research requiring data mining and machine learning technologies according to Borko Furht, Ph.D., director of the FAU NSF I/UCRC, CAKE and professor of FAU's department of computer and electrical engineering and computer science. "We were excited to work with Wireless Sensors on this project" says Furht. "It fits perfectly with our mission, leverages our core competencies and more importantly addresses a major industry problem with a cutting edge approach".

Richards, Wireless Sensors' CEO further stated. "The positive results of this project could not have been possible without a strong team approach. We were fortunate to have a research staff and collaborators whose expertise rivals that found anywhere in the world. Aware's PDM experienced based learning technology is absolutely cutting edge and Applied Math Modeling's data center experience was critical. Combining these with our state of the art wireless technology and a dedicated research staff could only result in success".

"This was an exciting project" comments Peter Millett, Ph.D., Aware Technology's CEO. "Our Process Data Mining technology has been adopted in industries ranging from aerospace to nuclear power but it's always gratifying to see it shine in a new area. We all hear about the benefits of "big data" but seeing it work in specific use cases and bring meaningful results is still a thrill. 5 years ago this would not have even been possible and 5 years from now we'll wonder how we got along without it".

Paul Bemis, Applied Math Modeling' CEO agrees. "This project benefited from a confluence of technologies and could really bend the curve on efficiency in data centers. Sensors tell you where you are, CFD tells you where you need to go and pattern recognition tells you when you get there. Combining these three together drives the concept of continuous commissioning to a practical level".

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