What This Category's Data Looks Like
This category's data comes from ERP material master data, melting furnace thermometers, spectrometers, MES heat records, mold management systems, customer drawings and technical specifications. Update frequency is per heat, per batch, or daily. Daily documents include casting process cards, batching lists, heat records, mold histories, first-piece inspection records, material test reports, and nonconforming product review forms. Fields include alloy batching ratio, furnace temperature, pouring temperature, mold cycle, defect type, and similar items. No additional statistical figures are included.
What Constraints These Characteristics Impose on the "Workflow Orchestration" Link
This category's data updates per heat, per batch, or daily. Workflows must support heat number and mold cycle as core trigger conditions. They must integrate multi-source data connections, including ERP material master data, melting temperature measurement data, mold histories, and more. Daily documents have many fields with high correlation. Workflows must support matching and validation of structured fields such as ratios, temperatures, and defect types. Workflow nodes must transfer associations between structured data and unstructured documents. They must also handle traceability associations for nonconforming product review forms. Additionally, workflows must support serial or parallel orchestration of multiple nodes to cover the full process of equipment inspection and maintenance Q&A, and avoid expired data or association errors.
How to Set Up the Configuration
This page's configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Variable Configuration | Pass heat number, mold cycle, alloy type via variables | This category's data uses heat number and mold cycle as core identifiers, so retrieval parameters must be passed accurately |
| Node ID Configuration | Specify dependency relationships between nodes via nodeId | Must bind melting temperature measurement nodes, knowledge base retrieval nodes, and maintenance Q&A nodes to ensure correct data flow |
| Retrieval Scope Limitation | Only retrieve documents for the current heat and mold cycle | This category's data updates frequently, so narrowing the retrieval scope improves efficiency |
| Timeout Threshold | 600 seconds | Melting data has high real-time requirements, so retrieval timeout must be controlled |
| Result Recall Limit | Top 5 entries | Core data for this category is concentrated in a small number of documents associated with the current heat and mold cycle |
| Context Length | 800–1200 token | Adapts to the average length of foundry process documents and Q&A scenarios |
Three Common Errors
- Symptom: Intermediate result fields passed between workflow nodes are empty. Cause: Core identifiers such as heat number and mold cycle were not passed correctly via
variables, causing the retrieval node to fail to match the corresponding category data. - Symptom: After enabling knowledge base plugin question optimization, when the final answer is not closed, retrieval results deviate from process parameters. Cause: No association rules for question optimization were configured in the workflow, causing the retrieval logic to fail to match professional terminology.
- Symptom: After embedding into a business system, the workflow cannot initiate requests normally. Cause: No identity association parameters between the business system and FastGPT were configured, causing requests to lack valid user identifiers and unable to trigger the workflow.
How to Confirm the Configuration Is Complete
- Trigger the workflow and pass the specified heat number, then check if the
variablesparameter in the node logs includes the corresponding heat and mold cycle information. - View the return results of the knowledge base retrieval node, and confirm that only documents such as the current heat's process card and heat record are included.
- Call the workflow interface and pass the business system's user identifier, then confirm that the request returns normal maintenance Q&A results.
- Check the dependency relationships of
nodeIdin the workflow, and confirm that each node executes in the expected order.
The values provided here are common starting points and should be measured against the reader's own samples.