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Air
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Air quality monitoring networks are transitioning from centralized polling using modems to TCP/IP communications. The advanced digital data acquisition systems (Envidas) and air quality central data management center software (Envista Air Resources Manager) from DR DAS provide support for both old and new network communications schema. This allows you to easily transition to the next generation of air monitoring networks. Our data acquisition, communications and data management system components easily plug into existing monitoring networks to collect data from your existing equipment and provide remote control of monitoring equipment using TCP/IP, the Internet. Transition to Envidas digital data systems is easy and has a proven rapid return on investment (ROI). Data-centric web sites and XML data exchange processes are included in our "open architecture" air monitoring networks.
The Envidas advanced air monitoring station data aqcuisition device replaces the typical limited capability A/D "Data Logger". Simply install a version of Envidas software on non proprietary PC architecture hardware and specify it to communicate using a communications protocol to emulate the old logger. The existing central communications software will not know the difference. You can upgrade key stations (e.g. NCORE) to advanced data acquisition using digital instrument interfaces for more precise readings, data validation and intrument diagnostics. Implement Open Architecture Central Data Collection, Mangement and Exchange DR DAS's Open Environmental Data Management Software (Envista ARM) supports polling of all common air monitoring data loggers. There is no need to change station equipment to achieve a major improvement in data collection, online QA, data analysis and information exchange processes. Only DR DAS allows you to transition your monitoring operations in logical steps consistent with budget constraints. You can do an implementation over a few years so you can fully transition to modern digital data systems without having to obtain major one-time funding. Key advantages to the DR DAS Open AQM approach are:
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