Grant: Engage Grants Program

Environmental monitoring plays significant role in Canada, from monitoring levels of carbon dioxide in Arcticto water quality assessment near industrial sites to real-time monitoring of oil pipelines. Techniques thatautomate processing of these types of data and can in real time alert the users to emergent events can havefar-reaching applications ranging from improving safety at the industrial sites and pipelines to detectingenvironmental phenomena in Canadian vast wilderness.EMSAT corporation provides innovative software solutions to meet real-time environmental data monitoringchallenges of today's industry. The EMSAT software is a powerful data aggregation, visualization and datamanagement platform that leverages sensor technologies and live computing to deliver accurate real-timeenvironmental monitoring solutions. The company's mission is to support customers in accessing criticalenvironmental data to reduce risk, improve responsiveness, ensure regulatory compliance, accelerate reporting,reduce cost, and demonstrate stewardship.In this project we are working with EMSAT on developing techniques that can detect patterns in a stream ofdata from environmental sensors. Those patterns that are due to noise, in particular, spikes, can then becleaned from the data automatically and unusual patterns flagged and brought to user's attention. A successfulintegration of the algorithm solution would help EMSAT develop further its real-time monitoring expertise andtechnology , as well as increase its competitiveness in the environmental monitoring market. Our methods willbe based on recent work in the fields of streaming algorithms, online machine learning and time series mining.