Making Bounds Checks for Datasets
To avoid that calibration values are out of the bounds defined in the project description file (*.a2l), you can validate the values in the datasets and data exchange files against the corresponding A2L files.
Bounds checks can be triggered either automatically or manually.
Manual Bounds Checks
To start the manual bounds check of selected datasets and data exchange files:
- In the Database Objects list box, select the project whose datasets you want to check. Then select the desired datasets or data exchange files.
Right-click to open the Dataset context menu. Point to Check and then select Bounds.
The bounds check is started, and a dialog is opened.
Note
Which types of bounds violations are checked is set in the User Options for Bounds Checks.
Depending on number and size of the selected datasets or files, the bounds check may be time-consuming.
In the dialog, push the View result files button.
A LAB file listing all variables with violations is opened. Comments with details on the violations are included in the file.
Automatic Bounds Checks
To enable or disable automatic bounds checks of datasets and data exchange files:
- Click the toolbar icon
to open the INCA user options. Go to the General tab. If you want to make sure that the datasets and data exchanges files are checked automatically, set the user option Online Bounds Check to Yes.
Note
If the automatic checks, which can be time-consuming, interfere with your work, you may disable them with this option and check the datasets manually when required.
Go to the Data Exchange tab and double-click in the Value field of the user option Bounds Check.
In the Bounds Check dialog, enable all individual checks that shall be included in the dataset bounds check and reported in the results file.
- Close the user option dialogs with OK.
If online bounds checks are enabled, INCA will check the datasets and data exchanges files when:
- INCA is reading a hex file
- you add a project that contains datasets which have not been checked.
Note |
In front of the dataset name, a status icon is displayed. The status refers to the dataset check, the bounds check, and the overlap check. |
See also
is displayed if all checks are ok.
is displayed if the checks detected an error. Details on the error are given in the tooltip.