When participants use low cost particle monitors the biggest impressions are often the incidents or spikes that cause the highest readings... like burning, or just cooking.  Of course, it's important to recognize and reduce the frequency of these spikes. 

However, we see a tenfold difference in the median particle counts between LCMP (Low Cost Monitoring Program) sites, and in most homes, the spikes do not appear to contribute significantly to that difference.  

How can we help folks make sense of the data? In one week alone, the three Dylos particle monitors generate 60,000 data points for each site! The ROCIS team has developed several tools to support LCMP participants. How do outdoor particle counts influence indoor counts? Does it help to use a kitchen exhaust fan or to use a portable air purifier?

For an overview of our data analysis and visualization efforts, see the ROCIS presentation for the US EPA's Smart Cities Air Challenge webinar series:

U.S. EPA Smart City Air Challenge Webinar, Data Use in Community Air Quality Projects
September 14, 2017
"ROCIS: Particle Data Explorations & Insights"
[PDF here]
To view additionsal ROCIS presentations, go to

ROCIS Data Averager

An integral piece of the Low Cost Monitoring Project is the ROCIS Data Averager. This is a visualization tool to help participants understand the data we gather through their monitoring. Participants or members of the ROCIS team can import raw Dylos downloads directly into the Excel spreadsheet, and get fast feedback to better understand the differences between their indoor and outdoor monitoring locations and to see two time series graphs of the data. Follow the link below to see a description of the tool, instructions on use, and to download it for yourself: 

ROCIS Data Explorer

The ROCIS Data Explorer is one of our visualization tools that we use to display particle monitoring data to participants, for a given monitoring site.  There are two styles of graphical representation of the 15-minute averaged monitoring data.

The first, a stacked bar chart, shows each of the 3 monitors at a participant's location.  The data is displayed as a percentage of time that the air was within a given range; very poor, poor, fair, good, very good.  This scale directly corresponds to the proprietary scale developed by the Dylos Corporation who manufactures the DC1700 particle monitor.

The second graphical representation in the ROCIS Data Explorer tool is a timeseries line graph.  This shows a scale of particle count over time, and color-codes the line of data to correspond to the given machine at a monitoring site.  There are various toggles for total displayed time, machines' data displayed, smoothing of data lines, and the scale of particle count.  

Follow the below link to view instructions, observe and use these tools:

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