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With the GLD 700 PC analysis software, before a pipeline run the operating parameters are sent to the detector, and after the run the stored data are selected, converted, and prepared for graphical evaluation.
Different parameters for the starting and stopping conditions, as well as documentation of other run parameters, such as “run number” and “pipeline number”, can be set. The exact wheel diameter of the odometer is entered.

All parameters that are set can be printed as documentation, and stored as a standard parameter set.
The data record can be displayed as an overview of the entire run, or in detail. All measured values such as leak, pressure and distance are shown both graphically and numerically.
Search algorithms for distance, marker and leak intensity, as well as others, allow you to seek out interesting ranges in the data record. The data record can be corrected and optimized by special features. Also, ranges at the beginning and end of the data record known to be of no interest can be eliminated.
Marked ranges of the data record can be printed or optionally exported as a text file, where the data can be processed with other programs. The battery discharge curve shows the change in capacity over time. So the correct time to recharge the batteries can be determined, and pipeline runs with weak batteries can be avoided.
The graphs for pressure, speed and odometer, and the search thresholds for leaks and markers can be suppressed for greater clarity.

Before each pipeline run, a self-test of the unit can be done to guarantee correct functioning. The results of the test can be printed as documentation.
Reference lists can be added, containing the different types of waypoints and their distances to the starting pig trap. These are also used to automatically compute all distances in the data record.

To compare two data records with each other, they can be displayed horizontally, one above the other. Noises of interest observed from run to run can be further analyzed and their positions better determined. Search algorithms can be used on all of the data graphically displayed in both data records.

Unusual noise events can be more closely examined and evaluated with special diagnostic tools. These tools simplify leak detection and lead to more certain results.
©2009 GOTTSBERG Leak Detection GmbH & Co. KG