Although we have developed many applications, we are showcasing four applications on this website that show various aspects of what our databases are capable of doing. A description of each is provided:
Terraine developed a Quality Control Inspection application used by AEP to manage personnel at power plants across the United States. Using handheld PCs,
local inspectors collected physical inspection data and synchronized it with a central database. From reports based on this data, AEP management is now able
to both monitor their contractors and see, in close to real time, issues in the field that need to be addressed.
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This database was used for several months (October 2005 - February 2006) during household hazardous waste reconnaissance efforts conducted at Grande Isle, Louisiana as part of the Hurricane Katrina cleanup project conducted by the US EPA. The database was used to collect and prioritize HHW information; obtain GPS readings of the HHW location; and link photographs to database records, which assisted onsite work crews in identifying, managing and removing the HHW.
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This database has been used for several years on an ongoing basis by Terraine, Inc. to collect and manage groundwater purging and sampling data for hundreds of monitoring wells for the United States Navy. Currently, several thousand well sampling event records are stored in the database, which contain pH, conductivity, ORP, dissolved oxygen and other field parameter data on wells sampled. The database is capable of reading GPS cards, and it also alerts the field person if a well has reached purge stabilization based on physical parameter readings obtained during purging.
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This database was modeled after the Nature Conservancy's National Vegetation Classification System, a paper-based system used to collect vegetation species information on land plots. The database was used to collect grass species information for the US Army Corps of Engineers on 14,000 acres of land at Ft. Campbell, Kentucky. The system used Pocket PCs equipped with on-board GPS to obtain latitude and longitude coordinates for each plot. The data collected were later exported to ArcGIS for generation of maps illustrating grass species locations.
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