RESPIRABLE SILICA DUST MONITOR
Roger Unger - Owner and Chief Engineer at Dylos Corporation
Critical differences compared to the other Dylos models
Standard Dylos models won't last an 8 hour shift. The Silica Monitor will last over 9 hours.
Notice how the Dylos Silica detected the peak above the orange line (90) and above the grey line (75) at the end. It also shows a drop below the yellow line (50) and a peak above that we don't see below.
The standard Dylos monitor gives data that is not as granular as the Dylos silica. Notice all the jumps above and below the grey line that the standard model misses and the peak above the orange line is missed.
What affect does this roadwork have on the surrounding population?
Sample locations are identified by colors, beige, green, yellow and purple. This compilation represents a wide variety of concrete chipping side x side analysis including two different Dylos monitors, 4 different locations, 7 different days, 2 types of size-selectors for the NIOSH 0600/7500 sampling. Sample H1 is from drilling, the rest are from chipping with rivet busters or 60-75lb jackhammers. Samples H1-H3, beige samples represent the same general location but a different environment with competing dusts each time.
We wanted to imitate how the Dylos would be calibrated in real life
There was some interference with competing dust like sawing metal and wood and diesel exhaust.
The Dylos and the PPI air intakes were not scrupulously positioned.
The tripod was moved around trying to keep it downwind of the action
more to come on this....
While a line of best fit needs more data across the expected range of concentrations we can see the linear relationship
Direct-reading instruments-- "They provide real-time data; they are simpler to use; and in the long run they are less expensive to operate (i.e., do not require the time and expense of weighing individual filters). For the industrial hygienist, direct-reading instruments should prove to be a valuable asset in evaluating environmental and occupational exposures to aerosols. They can be used to identify immediate hazards, to screen for prioritization of further air sampling, and eventually may replace traditional gravimetric sampling." Alex Lehocky and Phillip Williams
This paradigm aims to gather high-resolution spatio-temporal air pollution data by using a ubiquitous network of low-cost sensor nodes for monitoring real-time (or near real-time) concentration of different air pollutants. Such data can then be utilized for a variety of air pollution management tasks such as: (i) supplementing conventional air pollution monitoring; (ii) improving the link between pollutant exposure and human health; (iii) emergency response management, hazardous leak detection, and source compliance monitoring; and (iv) increasing community's awareness and engagement towards air quality issues.
The concept of assessing location and matching this with environmental data collected from either other instruments or sources is fundamental to exposure science. Furthermore, sensors may help push the frontier with their potential to allow for collection of detailed location and activity data over a much longer term than typically done in exposure studies.
The measurement of PM10 concentration in the air is a very important step towards the solution of the particle pollution problem. But it's a challenging and generally expensive tasks. Recently, alternative, low-cost methods were developed. These methods, if implemented correctly, could open an entirely new field in the air pollution research.
..real-time measurement provides useful features: (a) the results are immediately available on site and do not require laboratory analysis, (b) the time pattern of exposure can be studied, and (c) spatial comparisons between areas of a site or between different sites are readily accomplished.
Next-generation air monitoring (NGAM) is a quickly evolving and expanding field. Low-cost air pollution sensors have improved the access for both citizens and researchers to obtain pollutant concentration data in more locations...Low-cost air pollution sensors have the potential to be important enablers of smart cities and Internet of things (IoT), especially in terms of forecasting and health messaging in megacities with significant variability in microenvironments.
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COPYRIGHT © 2019 BEATSILICA - ALL RIGHTS RESERVED.