This document is compatible with FastGPT v4.17.0.
What Data Looks Like for This Category
Data for this category covers the entire injection molding process, sourced from resin batches and property sheets, injection molding machine operating parameters, mold temperature controller data, workshop MES systems, and plastic part size and appearance inspection records. Daily associated documents include injection molding process cards, raw material drying records, mold history logs, first-piece inspection forms, team patrol inspection forms, and material change and machine cleaning ledgers. Data updates occur at each production batch, each mold change or material change, and each shift handover. Fields include resin moisture content, screw speed, mold temperature, holding pressure duration, plastic part dimensional tolerance, and more, with associated identifiers such as batch number and mold number.
Constraints Imposed on Workflow Orchestration
Multi-source heterogeneous production data updates by production batch and mold/material change nodes. Workflow nodes must be arranged in production sequence, and support pulling injection molding machine, mold temperature controller, and inspection data for the same batch. Frequently updated raw material drying and recycle ratio parameters require workflow trigger nodes to bind production batch numbers, to avoid mixing cross-batch data. Plastic part defect types are fixed but have multiple associated parameter dimensions. Multi-dimensional parameter thresholds must be preset in judgment nodes, with support for custom expansion. For traceability requirements involving molds and raw material batches, embed associated nodes bound to batch fields in variables in the workflow to ensure complete traceability links.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind production batch number and mold number fields | Used to associate multi-source production data for the same batch, ensuring accurate traceability links |
| Judgment node trigger conditions | Use parameter threshold intervals calibrated via actual measurements (e.g., moisture content 0.02%-0.05%, mold temperature 40-60 degrees Celsius) | Matches the sensitive characteristics of raw material moisture content and mold temperature for injection molding, intercepting defect risks in advance |
nodeId | Bind unique identifiers of first-piece inspection nodes and patrol inspection nodes | Quickly locate the production link corresponding to defective data, simplifying traceability processes |
| Code run node configuration | Limit single processing data volume to no more than 100 entries, set timeout to 300 seconds | Adapts to the batch processing rhythm of injection molding production data, avoiding workflow interruptions due to node timeouts |
| Workflow trigger rules | Bind material change and machine cleaning records, production batch completion events | Matches the high-frequency update points of data for this category, ensuring analysis covers all production links |
| Failure handling node | Trigger an alert and pause subsequent nodes, retain full logs for the current batch | Prevents defective batches from flowing to downstream links, facilitating subsequent problem review |
Three Common Misconfigurations
- Issue: Judgment node always returns a positive result regardless of whether input parameters meet thresholds, and corresponding logs show parameters in
variableswere not read correctly. Cause: Thevariablesfield of the workflow was not bound to the judgment node, only fixed text trigger conditions were configured, and actual production data was not associated. - Issue: After adding new plastic part defect types, a large number of problem categories must be repeatedly added to cover user queries, resulting in low knowledge base recall coverage. Cause: Defect types were not bound to production batches and mold numbers, and full defective knowledge points within the category were not automatically associated via batch matching rules.
- Issue: No knowledge base retrieval result entries appear in the variable selection panel of the code run node. Cause: The knowledge base retrieval node was not configured first in the workflow, and retrieval results were not written to
variablesfor subsequent nodes to call, causing the code node to fail to obtain associated data.
How to Confirm Proper Configuration
- Manually trigger the workflow for the corresponding production batch, check whether the production batch number and mold number in
variablesare correctly bound to each node. - Input abnormal parameters, verify that the judgment node can correctly trigger the abnormal branch and match the preset defect analysis logic.
- Call knowledge base retrieval results in the code run node, confirm that the first search result entry can be normally obtained in the output.
- Simulate a material change and machine cleaning event, verify that the workflow automatically triggers according to preset rules, with no abnormal interruptions or data loss.
The values provided are common starting points and should be evaluated against the reader's own samples.