Remote Telemetry System For Particulate Monitoring

Remote Telemetry System for Particulate Monitoring

Describes the use of a satellite modem to relay data from a DataRam unit measuring smoke particulate to a Web site where the data can be viewed. Applied Digital Security, Inc., developed the satellite telemetry system with guidance from the USDA Forest Service's Missoula Technology and Development Center. Without the telemetry system, someone must drive to the DataRam unit to download data to a PC or to view the instantaneous reading on the DataRam's screen (which may not reflect trends or conditions over the longer term). With the telemetry system, anyone interested in viewing the data can go to the Describes the use of a satellite modem to relay data from a DataRam unit measuring smoke particulate to a Web site where the data can be viewed. Applied Digital Security, Inc., developed the satellite telemetry system with guidance from the USDA Forest Service's Missoula Technology and Development Center. Without the telemetry system, someone must drive to the DataRam unit to download data to a PC or to view the instantaneous reading on the DataRam's screen (which may not reflect trends or conditions over the longer term). With the telemetry system, anyone interested in viewing the data can go to the Web site http://www.satguard.com/usfs/. The home page shows a picture of the United States with red or green dots. The dots indicate the last reporting location of a unit. Green means the units are operating. Red means they are not. For operating units, the Web site shows the current and past particulate concentrations, internal temperatures, and internal relative humidities. The telemetry system itself is known as the AQD4-2000 MK II. It weighs just 16 pounds and comes in a case about the size of a 6-inch-thick laptop computer.

Bureau of Mines Research

Real-time Artificial Intelligence Control and Optimization of a Full-scale WTP

This study shows that advanced artificial neural network (ANN) model-based control systems can be used for drinking water treatment process control. ANN technology, an artificial intelligence technology that has the ability to learn patterns and relationships contained in sets of data, is the most powerful modeling tool currently available to the drinking water treatment industry. ANN predicts the output of a process given the values of process inputs and process control variables. The results of this project have the potential to revolutionize the way in which drinking water utilities optimize and control their unit processes to efficiently and consistently supply high quality drinking water