What the data for this category looks like
Production ledger data for welded structural component manufacturing comes from design drawings, material quality certificates, welding equipment parameters, welding material warehouses, non-destructive testing systems, and personnel qualification ledgers. The update frequency is per weld seam, per batch, or per shift. Daily generated documents include welding procedure qualifications, welding procedure specifications, welding material consumption records, welder qualification records, weld inspection reports, and repair orders. Data fields include weld number, welding material batch number, base material specification, welder certification number, inspection results, repair times, and other relevant fields. Corresponding units include millimeters, kilograms, days, and others.
What constraints these characteristics impose on workflow orchestration
Dispersed data sources involving multi-system integration require the workflow to configure multiple independent data source nodes to enable cross-system data pulling. High-frequency updates require workflow triggers to match actual production rhythms, avoiding data redundancy or omissions caused by scheduled tasks. Fixed fields for professional documents require the workflow to precisely match preset fields to ensure the accuracy of ledger content. Rigid qualification and process constraints require the workflow to include built-in verification logic to conduct compliance checks on welder qualifications and process qualification documents, and trigger corresponding processing branches for unqualified data.
How to configure the workflow
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow trigger mode | Trigger per weld seam data | Matches the update frequency of each weld seam in production to avoid data redundancy |
| Variable mapping rule | Automatically map by document field name to variables | Adapts to fixed field formats of multi-source documents and reduces manual configuration workload |
| Node ID configuration | Bind the nodeId of the corresponding data source | Accurately associate each data source node and avoid data pulling confusion |
| Failure handling branch | Trigger an alert, then retry 2 times, set the timeout threshold to 120 seconds | Addresses fluctuations in equipment interfaces and ensures data pulling success rate |
| Data source node configuration | Connect 6 specified data source nodes | Cover all data source categories including design, welding materials, testing, and others |
| Parameter completion node | Generate Q&A prompts for missing fields | Supplement additional parameters required for MCP calls, such as welding material batch numbers |
Three common configuration errors
- The MCP node called by the workflow returns empty fields with a prompt of missing parameters. The cause is that the workflow does not configure the Q&A completion node corresponding to
variables, and fails to collect all additional parameters required by MCP such as welding material batch numbers and welder certification numbers. - The workflow debug status shows success, but the front-end actual test returns incorrect data. The cause is that the test data used during debugging does not match the weld seam number and data source mapping rules in the actual production environment, leading to field misalignment.
- Extracting knowledge base content includes a large number of irrelevant document fragments, with low target field matching rate. The cause is that the workflow does not configure call rules for filtering by document type, and does not specify that only specified types of documents such as weld inspection reports and repair orders should be extracted.
How to confirm correct configuration
- Trigger the workflow for a single weld seam data, check whether the ledger content containing corresponding fields such as weld number and welding material batch number is automatically generated.
- When calling the MCP node, verify whether the Q&A interface for parameter completion pops up, and can collect all required fields such as welding material batch numbers and welder certification numbers.
- When calling the knowledge base, confirm that only specified types of documents such as welding procedure qualifications and weld inspection reports are returned, with no irrelevant fragments.
- Simulate a data source interface timeout scenario, check whether the preset retry and alert branches are triggered, and the timeout threshold meets the configured requirements.
The values provided are common starting points and should be measured against the reader's own samples.