What this category’s data looks like
Health diagnostic report data is sourced from real-time operational data collected by industrial equipment sensors, digitized paper records filled out during manual inspections, and historical operational logs from operation and maintenance management systems. Data updates trigger after a single inspection task is completed, or synchronize at fixed hourly intervals. Each document’s structure includes a unique device identifier, inspection timestamp, dozens of operational indicator values and corresponding thresholds, alarm trigger conditions, manual diagnosis conclusions, and rectification suggestion fields. All indicator fields include physical units, such as ℃ for temperature, mm/s for vibration amplitude, and MPa for pressure.
What constraints these characteristics impose on the workflow orchestration link
The requirement for multi-data source access means the workflow must support heterogeneous data format parsing, and unified field mapping rules must be configured. The two update rhythms correspond to two workflow trigger modes: scheduled trigger for periodically synchronized reports, and event trigger for real-time generation scenarios after a single inspection is completed. Documents include multiple types of numerical fields with units, so the workflow needs a built-in field verification node to filter indicator values with abnormal units or outside reasonable ranges. The alarm judgment link requires matching preset thresholds, so the workflow must be configured with conditional branch nodes to trigger different alarm push or diagnosis follow-up processes based on whether indicators exceed limits.
How to set configurations
The following configurations apply to FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Triggered by inspection task completion event / Hourly scheduled trigger | Adapts to the two update rhythms of health diagnostic reports |
variables Binding | Associate device ID and inspection time fields | Used for subsequent work order association and archiving operations |
nodeId Binding | Bind the ID of a fixed data analysis node | Used to fix data analysis operations to the workflow |
| Conditional Branch Node | Divide 3-level branches based on indicator over-limit thresholds | Corresponds to judgment and processing logic for different alarm levels |
| Timeout Setting | 300–600 seconds | Adapts to time consumption requirements for multi-data source parsing and batch report processing |
| Batch Processing Limit | 10–20 reports | Adapts to the number of reports generated in a single batch of inspections |
| Field Verification Rules | Verify indicator units and reasonable numerical ranges | Filter abnormal data to ensure judgment accuracy |
Three common errors
- Symptom: When referencing fields from health diagnostic reports in the workflow, a null value is returned, and the interface prompts that the variable was not found. Cause: The
variablesbinding rules were not configured according to the actual field names of the reports, and non-predefined field names were used incorrectly. - Symptom: Timeout interruptions occur when the workflow executes batch report processing, and the logs show execution timeout. Cause: The timeout setting was not adjusted based on the time consumption of multi-data source parsing, and the configured timeout duration was insufficient.
- Symptom: The workflow cannot traverse the batch-generated health diagnostic report list, and only processes the first entry. Cause: The loop node’s binding variable was not configured correctly, and the array field of the report list was not associated with the loop trigger item.
How to confirm the configuration is complete
- Initiate a manual workflow trigger, then verify that the extracted fields match the actual content of the health diagnostic reports.
- Simulate a trigger for a report with abnormal indicators, then confirm that the conditional branch node jumps to the corresponding processing path per preset logic.
- Upload batch test reports, then verify that the loop node can traverse all entries and complete processing.
- Review workflow execution logs to confirm that the timeout setting did not trigger abnormal interruptions.
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.