Beyond PI Manual Logger: Simplifying Manual Data Entry with Tycho Data Scribe

Industrial teams often need to enter laboratory, inspection, field, or correction data manually. The user interface can be familiar, but the workflow still needs validation and traceability.

A spreadsheet-style entry tool can work well when it adds controls instead of creating another uncontrolled spreadsheet.

Use structured templates

Define which asset, measurement, unit, and timestamp fields a user can enter.

Predefined templates reduce free-form input and help standardize recurring workflows.

Validate before write

Apply checks such as:

• Data type

• Allowed range

• Required fields

• Engineering units

• Timestamp format

• Existing-value conflict

Show validation errors before the write occurs.

Use AF to reduce selection errors

Let users select an asset and attribute through PI Asset Framework when appropriate.

This is safer than requiring a user to know the exact PI Point name.

Record traceability

For important entries, record who entered the value, when the entry occurred, and why the entry or correction was required.

The exact audit requirements depend on the business process.

Control overwrites

Warn the user when a value already exists at the target timestamp. Use an approved correction process for historical changes.

Do not make silent overwrites the default behavior.

Keep the Excel experience governed

Excel is useful because many engineers already know it. The risk is that users can copy data, change formulas, or create offline versions outside the controlled workflow.

Make a clear distinction between the governed entry interface and local analysis spreadsheets.

The practical objective

A modern manual-entry process should preserve the ease of a familiar interface while adding validation, asset context, and traceability.

The result is a workflow that users can adopt without weakening control of PI history.