What the data for this category looks like
Power grid enterprise document and material data sources include equipment operation and maintenance ledgers, dispatch operation logs, project approval application forms, safety inspection reports, and others. Update frequencies cover multiple dimensions: real-time (operation and maintenance work orders), daily (operation reports), quarterly (annual planning drafts), and more. Most documents have fixed format fields, including equipment number, voltage level, operation and maintenance duration, responsible team, and others. Some emergency documents have flexible fields with no mandatory fixed format.
What constraints these characteristics impose on the "workflow orchestration" link
Fixed format fields require the workflow to verify the completeness of required fields before drafting, to avoid generating invalid documents. Real-time updated operation and maintenance work order data requires workflow node timeout settings to match the data update frequency, preventing calls to expired data. Emergency documents with flexible fields need to support flexible mounting of dynamic variables to adapt to field requirements for different scenarios. Most power grid documents involve compliance content, so the workflow must embed compliance verification nodes to ensure generated content complies with industry specifications.
How to set configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Variable configuration | Bind fields such as equipment number and voltage level in variables | Match the fixed format field requirements of power grid documents, ensuring generated content accurately corresponds to actual data |
| Node timeout setting | 600 seconds | Adapt to the update rhythm of real-time power grid operation and maintenance data, avoid calling expired data due to long waiting time. FastGPT v4.17.0 supports this configuration |
| Loop batch setting | Process 10-20 work orders per single batch | Match the batch processing scenario of power grid operation and maintenance work orders, avoid excessive load on a single node |
| Workflow trigger mode | Trigger based on work order status change | Correspond to real-time updated operation and maintenance data, ensure document generation timing matches the latest data status |
| Exception node configuration | Bind nodeId to mark abnormal work orders | Quickly locate faulty work orders for subsequent troubleshooting and correction |
Three common mistakes
- Null subscript returned after loop execution: The loop node outputs an empty subscript field, with no incremental count result. The cause is that the loop subscript variable is not pre-defined in
variables, causing the loop body to fail to accumulate counts correctly. - Unable to call custom environment variables: The workflow node reports an error indicating that the variable was not found. The cause is that environment variables are not correctly mounted in the deployment configuration, or the corresponding variable name is not mapped in
variables. - SQL query node returns no data: The database node output is empty, and the log shows no matching results. The cause is that exclusive fields of power grid documents (such as equipment number) are not bound as query conditions, or the SQL statement does not adapt to the field naming rules of power grid data.
How to confirm the configuration is complete
- Trigger a test work order, check whether the generated document automatically fills in preset fields such as equipment number and voltage level
- View workflow node logs, confirm that timeout settings do not trigger frequent errors, and match the actual rhythm of data updates
- Run a loop body test, confirm that the subscript variable can accumulate normally and output valid count results
- Call the custom environment variable node, verify that the variable value can be correctly mapped to the workflow configuration
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.