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There's a terabyte of historical accelerometer sensor data. This OpenEEW dataset can be downloaded in 5 minute chunks and scanned to identify time periods of interest (earthquakes) Lets scan the entire dataset to find earthquakes! Today, I remember specific dates and times. There probably are tables somewhere else of quakes timestamps but it would be fun to be data driven.
We know the seismic detection algorithm. We know how to iteratively download the dataset 5 minute chunks. It would be relatively easy to write a Node-RED flow that scans the historical datasets looking for quakes. Set a magnitude (eg show me quakes greater than 3 gals), select a sensor, loop through the dataset, maybe a rough date picker so it doesn't need to look at 3 years of data? As it finds these quake events, insert the timestamps into a Node-RED table that the user/investigator could then select and plot in a graph.
The text was updated successfully, but these errors were encountered:
There's a terabyte of historical accelerometer sensor data. This OpenEEW dataset can be downloaded in 5 minute chunks and scanned to identify time periods of interest (earthquakes) Lets scan the entire dataset to find earthquakes! Today, I remember specific dates and times. There probably are tables somewhere else of quakes timestamps but it would be fun to be data driven.
We know the seismic detection algorithm. We know how to iteratively download the dataset 5 minute chunks. It would be relatively easy to write a Node-RED flow that scans the historical datasets looking for quakes. Set a magnitude (eg show me quakes greater than 3 gals), select a sensor, loop through the dataset, maybe a rough date picker so it doesn't need to look at 3 years of data? As it finds these quake events, insert the timestamps into a Node-RED table that the user/investigator could then select and plot in a graph.
The text was updated successfully, but these errors were encountered: