What Data for This Category Looks Like
Daily documentation for forging and die forging includes forging process specifications, cutting lists, furnace logs, forging process cards, mold life records, heat treatment work orders, and ultrasonic testing reports. Data sources include raw material quality certificates, furnace systems, press collection data, MES systems, non-destructive testing instruments, and customer forging drawings. Data update frequency follows per forging, per batch of materials, or per furnace production cycle. Document fields include forging ratio, metal fiber direction, furnace batch number, forging batch number, heating temperature range, detected defect type, and more. Units include degrees Celsius, tons, millimeters, and others.
What Constraints These Characteristics Impose on the Workflow Orchestration Link
Dispersed collection of multi-source data requires workflow configuration to connect nodes for different systems, to avoid missing data. Frequently updated production data requires lightweight workflows, reducing redundant steps to meet rapid review needs for single furnace runs. Validation requirements for specific fields require workflows to set fixed validation logic for core parameters such as forging ratio and fiber direction, rather than using generic processing. Severe consequences of errors require workflows to configure complete failure handling and traceability mechanisms, to ensure anomalies can be detected and located promptly.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
variables | Enable custom variables, set a switch for whether to skip knowledge base retrieval, and a file stream processing threshold | Adapt to user needs for choosing whether to skip retrieval, while limiting the maximum volume of file stream processing |
nodeId | Bind exception alert and log retention nodes, associate the node IDs for forging ratio verification and furnace batch number matching failures | Ensure alerts and data traceability are triggered when core verification fails, aligning with business requirements for severe error consequences |
| Workflow node order | Arrange in the order of data source collection → field verification → cross-review → result output | Match real-time data update requirements, obtain the latest production data before performing verification |
| Timeout period | 300-600 seconds | Adapt to the transmission and processing duration of large files such as ultrasonic testing reports |
| Single batch processing volume | No more than 20 furnace batch data entries | Align with the production update frequency per furnace run, avoid workflow overload |
| Context length | Calibrated via actual testing, 8000-12000 characters | Adapt to the content length of forging process specifications and testing reports |
Three Common Misconfigurations
- Phenomenon: After the HTTP request node processing ultrasonic testing reports returns an image file stream, the node status shows "incompatible data format", and subsequent review nodes cannot obtain the file content. Cause: Binary data receiving logic is not configured for the image stream of forging ultrasonic testing reports, only text data parsing rules are set.
- Phenomenon: The workflow does not trigger the interactive pop-up for users to choose whether to skip knowledge base retrieval, so users cannot customize the review logic. Cause: The
variablesconfiguration item is not correctly bound, and the retrieval switch is not associated with an editable user input variable. - Phenomenon: After the verification that furnace batch number and forging batch number do not match fails, the workflow terminates directly without triggering an alert. Cause: The
nodeIdof this verification node is not bound to the exception alert node, and mandatory verification rules are not set.
How to Confirm Proper Configuration
- Enter the workflow editing page of FastGPT v4.17.0, check if the
variablesconfiguration item includes the switch variable for users to choose to skip knowledge base retrieval. - Upload a simulated forging cutting list and ultrasonic testing report, trigger workflow execution, and check if node logs correctly collect core fields such as furnace temperature and furnace batch number.
- Test the HTTP request node, pass a simulated image file stream, and check if the node normally receives and transfers data to subsequent links.
- Manually modify the furnace batch number to a value that does not match the forging batch number, trigger verification failure, and check if the bound
nodeIdexception alert is triggered.
The values provided here are common starting points, and should be evaluated against the samples relevant to the specific deployment.