What This Category's Data Looks Like
Quality traceability data sources for the pulp and paper industry include pulp and waste paper batches, DCS/QCS systems, on-paper machine measuring equipment, laboratory testing, and energy and water treatment systems. Daily documents cover pulp preparation sheets, beating records, paper machine operation logs, online quality curves, laboratory reports, sheet break and grade change records.
Data update frequencies are divided into real-time, shift-based, and per roll. Fields include pulp ratio, beating degree, grammage, moisture, and thickness, with corresponding units of %, °SR, g/㎡, %, and mm.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Multi-source heterogeneous data with varying update frequencies requires workflow logic to distinguish between real-time trigger and batch execution nodes. The continuous web production nature means sheet break and grade change records are strongly linked to online quality curves, so dependency trigger rules between nodes must be configured.
Field names and units differ across documents, so cross-source variable mapping configuration is required. Quality deviations have wide-ranging impacts, so exception branch processing flows must be added to handle risk scenarios such as shutdowns and grade downgrades.
Configuration Settings
The following configuration items are based on FastGPT v4.17.0, adapted for quality traceability workflow scenarios in the pulp and paper industry:
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Variable Mapping | Bind variables by document field name | Matches field differences across multi-source heterogeneous documents |
| Node Trigger Condition | Bind update frequency by nodeId | Distinguishes execution timing between real-time on-machine data and shift-based batch data |
| Timeout Setting | 600–1200 seconds | Fits the collection delay range for on-machine paper data |
| Exception Branch | Trigger preset alert nodes | Corresponds to risk scenarios such as sheet break shutdowns and roll grade downgrades |
| Single Tool Call Limit | Top 8 historical records | Matches shift-based grade change and quality inspection batch volumes |
| Context Length | 1500–2000 characters | Fits the full quality data volume for a single paper roll |
Three Common Misconfigurations
- Phenomenon: Workflows enter cyclic tool calls or return no results. Cause: No tool call termination node added at the end of the tool call flow, preventing normal workflow completion.
- Phenomenon: Nodes that check if a knowledge base is empty fail and return empty data errors. Cause: Only using a judge node without binding the knowledge base data statistics field in
variables, so actual data status cannot be retrieved. - Phenomenon: Custom variables in HTTP modules cannot be received by target interfaces, and interfaces return parameter missing errors. Cause: Variables defined in
variablesare not mapped to standard parameter key names for interface requests, so interfaces cannot recognize incoming content.
How to Verify Proper Configuration
- View the
variablesconfiguration panel for the workflow, confirm all source document fields have been mapped and bound - Trigger a test node, verify that the timeout setting trigger logic matches the delay range of paper machine data collection
- Simulate a sheet break or grade change scenario, confirm that the exception branch node triggers normally and outputs corresponding information
- Call the configured HTTP module interface, verify that custom variables have been correctly passed to request parameters
The values provided are common starting points and should be measured against the reader's own samples.