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GENIUS TOOLS Model Processor

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Checking data quality

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If you want to revise models, assessing data quality is the basis for deciding what tasks are needed during the revision process.

Follow the general procedure for reporting. When assessing data quality, the questions are typically answered as follows.

Considerations

1.Who creates the report?

Data analysis of existing models is typically not performed by Creo users, but rather by an administrator who is also responsible for subsequent data revision procedure. ⭢ Run task list on the current model or in batch mode (MP)

2.Which models should be analyzed? (Type of data processing)

One or more parts, drawings or assemblies ⭢ Task list on the current model (MP or MP User)

–Files that are grouped in one or more directories or can be easily found by filename ⭢ Task list in batch mode

3.What data should be checked for what?

Typical questions include:

–Do all models use the same unit system? Do all models have the same level of accuracy? ⭢ Action Report Model Data

–Have the parameters been filled in? ⭢ Action Report Parameters

–Have the material properties been set? ⭢ Action Report Materials

–What relationships are stored in the model? ⭢ Action Report Relations

4.Does the focus need to be switched to another part or within a part? ⭢ Group mode All Model Dependencies in Session

5.Are specifications needed for executing tasks? ⭢ Use enhanced filters

6.What type of report is needed?

–To analyze large amounts of data, you should create a CSV file with one row per model or an SQLite database ⭢ Report Definition. If the focus is on the model data values, for example, for filtering, select the ⭢ List Report.

Create task list

7.Create at least one report template in the Resources area.

8.Drag the required actions into the Body area.

9.Consider where using group modes and filters makes sense.

10.Test the result after each task.

Create report

11.Select the type of data processing specified in Step 2.

12.Execute the task list.

Examples

▆ Reporting Parameters: Checking a library’s default parameter set

Initial Situation: A company wants to determine how well its models adhere to the parameters defined as company standards.

Considerations:  

·Who creates the report? Administrator ⭢ Task list for current model or in batch mode.

·Which parts are to be used for the report? All models in a library folder ⭢ Task list in batch mode

·Which model data are to be queried? All values of the parameters included in the default parameter set. ⭢ Task Report Parameter. The parameter set from the start model can be used.

·Which report type is needed? SQLite database or CSV file ⭢ Report Definition

The implementation is explained in the chapter Examples and Tutorials chapter, see Checking parameter set (1) (1).

▆ Reporting Parameters: Checking the standard parameter set on large assemblies

Initial Situation: A company wants to analyze the model parameters of its corporate standard across three large assemblies designed at different points in its history. This will provide a meaningful cross-section of data quality between older and newer models.

Considerations:  

·Who creates the report? Administrator ⭢ Task list for current model or in batch mode.

·Which parts are to be used for the report? Three large assemblies ⭢ Task list for the current model; group-mode tasks for all model components.

·Which model data are to be queried? All values of the parameters included in the default parameter set. ⭢ Task Report Parameter. The parameter set from the start model can be used.

·Which report type is needed? CSV file, one line per model ⭢ Report Definition

The implementation is explained in the chapter Examples and Tutorials chapter, see Checking parameter set (2) (2).

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