New sensor array transforms data collection
Another Waggle feature is in-situ processing.
“Waggle includes advanced management features that constantly monitor power use and can be programmed to respond to specific conditions like temperature and light intensity or a data signature from a camera or other sensor,” said Argonne computer scientist Rajesh Sankaran.
“Very few people are experts in embedded computer systems, so we’ve provided a framework for writing Waggle code that can run in-situ and have worked to take the guesswork out of the data-collection process, providing researchers with a way to automatically plug, play and retrieve safe and secure data from the cloud.”
Environmental scientists have begun to take notice and plan to use the Waggle platform to collect their data for future projects.
Jack Gilbert, an Argonne microbial ecologist, is part of a team working with the City of Chicago to create a dynamic microbiome map of Chicago-area waterways. His research goals include understanding how sewage and human activity affect the microbial quality of urban environments and waterways.
“Waggle can help us with environmental context and give us the ability to create an automated sensing grid,” said Gilbert. “We can then draw maps of how those parameters vary, so we can explore areas of greater or lesser activity inside a space. It’s incredibly valuable for us to have that continuously connected grid for data generation.”
From city buildings to neighborhoods, Argonne computational climate scientist Rob Jacob worries about “heat islands.” This is a phenomenon where an urban area is warmer than the countryside surrounding it; the heat island effect contributed to the death toll of the 1995 Chicago heat wave. When Jacob begins working with the Waggle platform, he and his team will be working to understand the data, but he can envision a future where the types of sensor networks Waggle allows can be used to predict urban heat waves, flooding and other weather hazards.
“There’s a lot of temperature and meteorological variability within a city — basically because the buildings, parks and other materials store heat differently and it’s difficult to measure all the variability,” said Jacob. “But Waggle’s low price point and scalability make it possible to get very dense coverage throughout different areas, and ultimately a better understanding of where and how these heat islands will occur.”
The release notes that Argonne’s scientists are also working with the City of Chicago to use Waggle as a platform to increase the spatial and temporal data available for a range of scientific and “smart city” applications. From climate studies to understanding the dynamics of particular types of air pollution to identifying trends in noise or increases in pedestrian traffic — the Waggle system can effectively move the city towards data-driven policy.
