What the data for this category looks like
Wind power data is primarily sourced from wind farm SCADA monitoring systems, wind turbine operation work order systems, and regional meteorological monitoring stations. Update frequencies range from seconds to hours. Each individual data record includes fields such as unique wind turbine identifier, collection timestamp, active power, real-time wind speed, nacelle temperature, fault code, operation notes, and more. Units are specified as follows: active power in kW, wind speed in m/s, nacelle temperature in ℃. Fault code is a string identifier with no fixed format. Some fields update when the turbine starts or stops, or during maintenance operations.
What constraints do these characteristics impose on workflow orchestration?
Wind power data has multi-frequency update features. Workflows must support a combination of scheduled and event-driven trigger modes to fit response needs of different business scenarios. Fields include quantified values with clear units. Workflow parameter validation must add unit matching rules. This prevents marketing content deviations caused by cross-unit calculations. Individual data records include classification fields such as fault code. Workflows need built-in branch judgment nodes. These nodes trigger differentiated marketing content generation paths based on field values. Per-batch data volume is large. Workflows must configure batch processing nodes. This prevents single execution timeouts that disrupt overall workflow efficiency.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
triggerMode | event + cron hybrid | Adapts to the update rhythm of wind power data: second-level event triggers and hour-level scheduled completion |
maxBatchSize | 50 records per batch | Matches the typical volume of single-batch data exports from wind farms, prevents execution timeouts |
unitValidationSwitch | Enabled | Validates unit consistency for fields such as active power and wind speed, prevents numerical deviations in content generation |
branchConditionField | fault_code | Sets branch judgment based on the fault code field of wind power data to trigger differentiated marketing content |
workflowTimeout | 600 seconds | Meets execution duration requirements for batch data processing and multi-branch content generation |
contextWindow | 800–1200 characters | Adapts to content length requirements for wind power technical parameters and marketing copy |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: When exporting marketing content generation records via workflow, only the last 6 records are returned. Cause: Full context export configuration is not enabled. The system retains only a specified number of historical records by default.
- Phenomenon: After connecting 3 parallel workflow nodes, only one branch is triggered. Cause: Branch nodes use single-branch selection logic by default. Parallel execution mode is not activated.
- Phenomenon: Workflow runs in v4.9.0 version, and gpt-4o-mini call error logs appear. Cause: Valid API call key verification rules are not configured, or call quota is exceeded.
How to confirm correct configuration
- Manually trigger a test dataset optimized for second-level updates, verify immediate workflow response.
- Open the branch node configuration panel, confirm that the associated field is the fault code or active power field of wind power data.
- Perform a full export test, check whether the returned marketing content generation records include all batch data.
- View workflow execution logs, confirm that no unit verification failure or timeout errors appear.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.