|Physics Projects 'n Stuff|
I have been working on a new geophysics project for the past few months a compact infrasound monitor based on a digital, i2c enabled diferential pressure sensor. As a taster I feel this is a beauty. Very open-ended with lots of opportunities for students of all levels - primary to postgrad - to redesign and test replacement components. This is also real science, in a little studied area. Well suited to networking in small or large areas. Oh - and cheap! see Blog (above) for current status
As an example of real data see Blog post for 27/7/2017 - Mean Acoustic Power - Sabic Gas Flare
This rig capable of resolving to better than 1 3-millionth of an atmosphere will cost less than £100 and provide plenty of valuable experience in computing, physics, electronics, and signal processing to a small team for a year or so.
Presently I am testing kit before seeking university involvement. I displayed at the Makerfaire in Newcastle 2018 but would rather not release full construction details and code just yet as I am still in testing stage. Please feel free to email me though if you would like construction details.
Infrasound is a little studied area of geophysics/environmental science ripe for further investigation. The only U.K. detector I can find reference to is possibly one run by A.W.E. at Blacknest though precious little information is extant. A national network of school & college infrasound detectors could potentially generate useful scientific data as well as remarkable educational benefits.
Interim code and instructions may be downloaded here - link.
|Rig A: Home Loftspace||Rig B: Outdoors foam cube|
|Rig A: Archived plots||Rig B: Archived plots|
Either system will go down periodically. I am performing field tests near potential sources of infrasound such as local windfarms, quarry blasts, beaches (surf) and firing ranges.
The above are simple daily data plots. These are generated on the fly by the Pi used to monitor the sensor, and should be used for quick observation of output. The idea being that the data be downloaded from the PI for more detailed analysis. I have written a general analysis tool in python for this - examples below and on the Blog page (above).