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Leveraging Mobile Technology to Improve Water Quality
Thursday, March 11, 2021: 1:50 PM - 2:10 PM
Speaker(s)
Description
Organizations in the environmental sector who routinely conduct sample testing in the field continually seek new and innovative methods to manage their operations efficiently while generating quality data and reducing costs. With advances in laboratory automation and mobile technology, some industries like drinking water utilities, have implemented solutions that leverages mobile technology to upload testing site data in real-time and eliminate the need to manually re-enter data and field measurements. This presentation will examine one of Virginia’s largest water utilities, serving one out of every five Virginians who obtain their water from public utilities. The utility includes an environmental laboratory which employs 24 full time staff including six field samplers that collect over 13,000 samples and perform close to 15,000 field analyses every year. One out of three tests analyzed by the laboratory are performed in the field and input into their Laboratory Information Management System (LIMS). A major challenge was the time lag for field testing data to be transferred to the LIMS. This talk will provide the details in a case study format of how a major utility was able to leverage mobile technology to accelerate the data delivery to those that needed it, eliminate dual entry and save money. This case study will also examine results over a period of greater than 5 years. With WiFi or cellular technology, data can be transferred in real-time to the LIMS database. When there is no connectivity, the data can be stored on the device and uploaded upon reconnection to the Internet. We will look at the return on investment, including the labor savings in eliminating the need for dual data entry, leveraging the ability to calculate the more direct route to save on gas, and finally the savings in eliminating the need to store paper records for 10 years.
Additional Info
Keywords: Please select up to 4 keywords ONLY:
Data Analysis and Manipulation,Environmental - Water,Data Management,Electronic Laboratory
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