Groups

Typearray

A group comprises datasets and various processing stages that are inherently interconnected. Group identity is defined by its first process (processId=0), which is usually the raw hardware acquisition process or a processing step that fundamentally changes the nature of the data found in another group (e.g. FMC → TFM). A dataset invariably originates from a process.

The groups array describes a group comprising datasets and/or processes.

Property	Type	Description
id required	integer	The unique group id in the JSON structure
name	string	The group name
usage	string	Additional information concerning the use of the group (e.g. CouplingCheck)
datasets	array	One or several datasets among datasets
processes	array	One or several processes among processes

Examples of typical groups structures

The following examples illustrate the typical structure and relationships of groups used in inspections. Note that processes are shown in a chain; however, they could also be branched for more complex cases. Only cross-referenced IDs are represented to help clarify the various intra- and inter-group relationships between processes and datasets.

Conventional ultrasonic testing (UT)

UTUT + ThicknessUT + Thickness + Gain

This shows a conventional ultrasonic acquisition. Note that the AScanStatus dataset is optional.

This shows a conventional ultrasonic acquisition with thickness measurement on a gate. Note that the AScanStatus dataset is optional.

This shows a conventional ultrasonic acquisition with thickness measurement on a gate and a gain. Note that the AScanStatus dataset is optional.

Phased array ultrasonic testing (PAUT)

PA One Line ScanPA One Line Scan + ThicknessPA One Line Scan + Thickness + Gain

This shows a phased array ultrasonic acquisition. Note that the AScanStatus dataset is optional.

This shows a phased array ultrasonic acquisition with thickness measurement on a gate. Note that the AScanStatus dataset is optional.

This shows a phased array ultrasonic acquisition with thickness measurement on a gate and a gain. Note that the AScanStatus dataset is optional.

Total focusing method (TFM)

TFMTFM + Box GatesTFM + Box Gates + Gain

This shows a TFM reconstruction by collection of a FMC. Note that the TfmStatus dataset is optional.

This shows a TFM reconstruction of an FMC acquisition with gates defined on the TFM image. Note that the TfmStatus dataset is optional.

This shows a TFM reconstruction of an FMC acquisition with gates on the TFM image and a gain. Note that the TfmStatus dataset is optional.

Conventional eddy current testing (ECT)

ECT + Hardware Low PassECT + Software Low PassECT + Mix

This shows a conventional eddy current acquisition with hardware low pass filtering and software impedance transformation.

This shows a conventional eddy current acquisition with software low pass filtering and software impedance transformation.

This shows a conventional eddy current acquisition with software eddy current mix process followed by low pass filtering and impedance transformation.