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April 2008
Hydrologics, Inc of Columbia, MD has awarded a research project to Greer, SC-based Advanced Data Mining International, LLC (ADMI). The project will apply artificial neural network models to predict the quality of public water supplies in New York State.
HydroLogics provides worldwide consulting services for water supply and hydroelectric systems, computer-aided dispute resolution, and water marketing. ADMI provides advanced data mining software, artificial intelligence computer programs and research services to utilities, manufacturers, environmental organizations, and oil and gas companies.
March 2008
National Research Foundation Announces Report on Water System Homeland Security Monitoring Prepared by Greenville, SC Firm
American Waterworks Association Research Foundation (AwwaRF), the leading nonprofit water research foundation dedicated to advancing the science of drinking water, announced the publication of a new report on the critical topic of monitoring drinking water systems for homeland security. The principal research for this project was conducted by the engineering firm, Advanced Data Mining International, LLC (ADMi) of Greenville, SC, and funded by AwwaRF and the Charleston (SC) Water System.
Many drinking water utilities face an increasing array of critical challenges, but none more critical as protecting drinking water supplies from either intentional or inadvertent contamination. The advances of this seminal research work include being able to detect chemical contamination in drinking water using a combination of artificial intelligence and conventional sensors such as pH, conductivity and chlorine.
“The objective of this research is to demonstrate to water utilities and their engineering firms advanced technical and cost-effective solutions to homeland security monitoring," stated John B. Cook, CEO and engineer for ADMi. "This research demonstrates that a combination of reliable sensors presently available, when analyzed using artificial intelligence technology, can detect sub-lethal concentrations of toxins," according to Ed Roehl, ADMi's CTO and engineer. Due to the sensitive nature of the subject material, the report is currently available only to subscribers of AwwaRF under a condition of non-disclosure
May, 2006
The American Waterworks Research Foundation to Publish Report by Advanced Data Mining International and Others
The American Waterworks Research Foundation (AwwaRF) will publish in early July of this year a comprehensive research report prepared by ADMi principal investigator’s Ed Roehl and John Cook and co-author and software developer, Ruby Daamen. In addition to ADMi, other participants include the Charleston Water System and Colorado State University, The report will be entitled Distribution System Water Quality Security and Improvement through Data Mining.
The objective of the research was to demonstrate that conventional sensors (or monitors) such as pH, conductivity and chlorine, could be used in conjunction with data mining techniques such as artificial intelligence to alert water treatment plants of potential contamination by highly toxic chemicals. The results of the research, which involved Charleston Water System and other nationally-recognized water utilities, confirmed the research thesis.
This represents a major improvement to water distribution system monitoring for detection of contaminants.
It is expected that AwwaRF will publish the report in July 2007, which will also contain a demo of a computer program to assist operators on how to interpret real-time data from multiple monitoring locations.
December, 2006
ADMi Welcomes John B. Cook as CEO
John B. Cook has joined ADMi as Chief Executive Officer. John has thirty years of environmental engineering and utility experience in the areas of management, water and wastewater operations and process optimization, design and construction, and research. John is a registered Professional Engineer with a Bachelor of Science in Civil Engineering as well as a Master of Science in Structures and Mechanics, and a Master of Science in Environmental Engineering.
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