What this category of data looks like
Data sources include steel coil labels and quality certificates, punch and feeder operation data, mold management systems, MES systems, coordinate measuring machine or fixture inspection data. Daily generated documents cover stamping work instructions, material utilization rate tables, mold inspection logs, first and last piece records, dimensional inspection reports, and mold change records. Data is updated once per steel coil, per production batch, and each time a mold is changed. Document fields include material grade, mold number, mold change time, dimensional tolerances, material utilization rate values, and more. Units include millimeters, tons, square meters, and similar industry standard units.
What constraints these characteristics impose on workflow orchestration
Since data is updated in real time based on steel coil batches, production batches, and mold change events, the workflow must bind corresponding event trigger nodes. This ensures Q&A data matches the current production status. Field differences across multiple document types require the workflow to be configured with differentiated chunking and retrieval rules. This avoids mixing fields from different documents. Category-specific mold and material parameters must be bound as core variables. This ensures Q&A results are linked to specific information for the current production stage. At the same time, errors can lead to batch dimensional deviations or equipment damage. The workflow must include a result verification step to prevent incorrect parameters from being output.
How to configure
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Stamping work instructions contain complete single-process steps and parameters. This length can cover core content |
| Single Retrieval Limit | Top 8 entries | Covers multiple types of documents related to single-batch mold changes. This avoids redundant information interfering with Q&A |
variables | Calibrated based on actual measurements | Bind category-specific fields such as mold number, material grade, and mold change time. This links to corresponding data sources |
| Workflow Trigger Timing | Triggered by mold change events | Matches the update frequency per batch of mold changes. This ensures Q&A data is synchronized with current production status |
| Context Window Size | 4000–6000 tokens | Carries context information from multiple documents. This supports associated queries for process parameters |
| Failure Retry Count | 2 retries | Addresses call failures caused by punch data synchronization delays |
Three Common Misconfigurations
- Front-end lag occurs when selecting
variablesfields, and drag-and-drop workflow nodes have significant delays. Normal operation resumes after deleting the corresponding variable configuration. The cause is binding too many category-specific stamping fields, which exceeds the front-end rendering load threshold. - Empty Q&A results are returned after the workflow triggers. The cause is failing to match the update frequency per steel coil or production batch, calling outdated unsynchronized document data.
- Uploaded mold inspection logs cannot be retrieved correctly. The cause is not configuring differentiated chunking rules for multiple document types in the stamping category, leading to truncation of key fields.
How to Confirm the Configuration is Correct
- Trigger the workflow corresponding to a mold change event, and check if the material utilization rate table and mold change records for the corresponding batch are pulled.
- Enter a query that includes a mold number, and confirm that the returned results include the inspection records and work instruction content for that mold.
- View the workflow logs to confirm that the trigger timing matches the timestamp of the mold change event, with no delays or repeated triggers.
- Test deleting a bound
variablesfield, confirm that the front-end lag disappears, and verify the configuration is valid.
The values given are common starting points and should be measured against the reader's own samples.