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Electronic Data Collection and Analysis System



Electronic Data Collection and Analysis System


Yin Foo, Des; Foley, Margaret


E-Publications; PublicationNT; E-Books; Report ; 39/1992




Made available via the Publications (Legal Deposit) Act 2004 (NT).





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Power and Water Authority

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Report ; 39/1992

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Technical Report WRD92039 Viewed at 15:07:17 on 29/07/2010 Page 155 of 192. sets and it can be viewed to find any points which appear anamolous. (iii)Recalibrate the logged data by the manually recorded depths. Examine the 11 . v. L plot shown on the screEm. The slope and offset values (s,o as above) should be close to 1 and 0 respectively (depending on the accuracy of the original calibration) and the r2 value over 0.999. If the r2 value is below 0.999, or if the plot shows any points off the best straight line, recheck for anomalous data. (iv) Record the s,o values on the system history sheet. (v) Calculate the errors of the recalibrated original logged data by subtracting the recorded depths from them. The effect and the manually of the recalibration can then be asessed. write this error data to a file which can be read into a spreadsheet. Use the spreadsheet to calculate the mean and standard deviation of the errors, and find the maximum and average errors from the absolute valuos of the errors. Method 2 - using a Symphony Worksheet programme : (i) Usinq either "DATMAN" or the printout of the logged test data, find the logged readings for each of the times that the transducer first reached a particular depth. Ente'~ these readings and requested ~n the Symphony Spreadsheet includes notes on its' use). Use the first each depth. other information "CHK-PRB", (which recorded reading at 1'his spreadsheet will calculate the mean logged reading for each depth I and the average and maximum errors for the probH's specified range (in metres and % of full scale. The