What this category of data looks like
Oilfield engineering service data mainly comes from on-site construction logs, equipment operation sensors, personnel attendance ledgers, and material in-and-out records. Construction logs are updated per work shift. Equipment operation data is uploaded at a minute-by-minute frequency. Material ledgers are updated daily. Each document includes fields such as work area number, equipment serial number, operation duration, list of participating personnel, and safety inspection items. Units include cubic meters, hours, units, person-times, and more. Some on-site records are unstructured handwritten or speech-to-text documents.
What constraints these characteristics impose on the "workflow orchestration" link
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Event Trigger | Adapt to real-time upload signals from on-site equipment sensors, match trigger scenarios of operation processes |
| Variable Binding | Bind work order ID and equipment number corresponding to nodeId via variables | Enable cross-node association of multi-source data (equipment, personnel, materials) |
| Node Timeout Duration | 300-600 seconds | Cover the average execution duration of on-site oilfield operation processes |
| Document Chunk Size | 800-1200 characters | Adapt to the length of oilfield professional documents, avoid overly fragmented or overly long chunks |
| Knowledge Base Recall Count | Top 3-5 entries | Oilfield professional documents are lengthy; excessive recall will increase context redundancy |
| Context Length | 8000-12000 token | Match the overall length of oilfield documents to ensure information completeness |
Three Common Misconfigurations
- The code running node does not display in the workflow debugging panel. The cause is that advanced node permissions were not enabled in the workflow editing page.
- Imported external workflow intermediate results do not meet expectations. The cause is that the fields bound via
variablesdo not match the fields exported from the source workflow. - The configured workflow cannot be called in chat. The cause is that the workflow was not bound to the trigger rules of the corresponding chat robot.
How to Confirm the Configuration Is Complete
- Check the
variablesconfiguration of the workflow, confirm that all bound oilfield work order fields exist and have correct formats. - Trigger a test event, review the workflow running logs, confirm that the output results of each node meet expectations.
- Check the trigger rules of the chat robot, confirm that the currently configured workflow has been associated.
- Simulate an on-site operation scenario, submit test data, and verify the complete execution link of the workflow.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.