title: "BlueHill 2.0 Files" author: "Robert Day" date: "2 May 2019" output: html_document output: rmarkdown::html_vignette vignette: > %\VignetteEngine{knitr::knitr} %\VignetteIndexEntry{Sending Messages With Gmailr} %\usepackage[utf8]{inputenc}
Bluehill works with Samples
(which are created whenever you start a test) containing Specimen
s.
The user chooses a sample name and a folder in which to save the sample & results data (the study folder)
within the study folder are:
<sample_name>.is_<test_type> an xml file describing the sample/test
<sample_name>.im_<test_type> an xml file describing the test method
<sample_name>.id_<test_type> a binary file containing the recorded data (magic number TDAT)
If the data or results have been exported they appear as:
<sample_name>.is_<test_type>_RawData a folder containing exported raw data files
<sample_name>.is_<test_type>_Results.csv a CSV file containing any calcuated results
each RawData
folder contains one or more specimen files as Specimen_RawData_<sample_no>.csv
The <test_type>
indicates which type of test was performed, and can indicate what columns are likely in the CSV file:
tens | tension
comp | compression
tcyclic | tension profile
ccyclic | compression profile
trelax | tension creep/relaxation
crelax | compression creep/relaxation
flex | bending
Bluehill 2.0 exported data are structured in folders by Sample
& Specimen
.
The Sample
folder name is chosen by the user at the start of a test.
Each Sample
uses a single test method (which may be changed during the test,
complicating matters).
The general folder structure is therefore:
Study Folder
Sample_1
...
Sample_n
For each sample, all Specimens
should have the same columns.
Specimen
files can optionally contain a header, which may contain a Specimen Label
.
Each Specimen
represents one continuous run of the testing machine
(what could normally be thought of as a 'test').
If there are results files, they are in the study folder and named sample_n_Results.csv
.
At RPH we have used several different conventions, depending on who ran the tests and when. Variants include:
one Specimen
in each Sample
folder
so the test ID is in the folder name
multiple Specimen
in each Sample
folder
where the test ID could be either
with multiple Specimens
per Sample
, each could be
As there are several naming conventions that have been applied, Bluer just considers Rawdata
files, giving each file in a given study a unique test ID.
Grouping these by actual sample, test etc. is domain knowledge that the user will need to have to interpret the structure of the Study
.
No two physical tests can have the same full file path, so this is used to unambigously label each test. Each set of test data is labelled with the test ID, as are the corresponding meta-data derived from the header and filename. The test ID can be used to link the meta-data to the test data.
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