Reference only; verify against the target FastGPT release and deployment documentation.
What This Category of Data Looks Like
Business data for urban gas companies primarily comes from the pipeline SCADA system, handheld patrol PDA terminals, customer service ticket system, and gas safety inspection archive database. Data update rhythms vary: real-time monitoring data such as pipeline pressure and flow is updated every second, patrol records are updated per patrol batch, customer service tickets are generated in real time, and safety inspection archives are synced quarterly. Individual data entries include fields such as device ID, collection time, pressure value (unit kPa), inspection point, ticket number, and inspection result. Some fields require association with unique device identifiers and business scenario tags.
How These Characteristics Create Constraints for Workflow Orchestration
Second-level updates for real-time monitoring data require that workflow node call delays stay within a reasonable range, to avoid scheduling decision errors caused by outdated data. Batch-submitted patrol records require workflows to support node configuration for bulk data import and splitting, to adapt to daily patrol submission scales. The unique kPa pressure unit for gas data requires workflow data validation nodes to configure format and range rules for this unit, to prevent invalid data from entering subsequent processes. Quarterly updated safety inspection archives require global variables to match this update rhythm, to avoid calling expired archive data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Data Source Node | Connect to SCADA system and handheld patrol PDA interfaces | Match core urban gas business data sources |
| Batch Processing Threshold | 50 records per batch | Adapt to conventional daily patrol record submission scales |
| Data Validation Rules | Validate pressure value range 0-1000 kPa | Match normal operating parameter ranges for gas transmission and distribution equipment |
| Global Variable Configuration | Bind pipeline patrol update cycle to 90 days | Align with the quarterly update rhythm of safety inspection archives |
variables | Reference preset device ID constants | Simplify device identifier calls across multiple workflow nodes |
nodeId | Bind the unique identifier of the SCADA real-time data node | Ensure accurate workflow node calls |
Three Common Configuration Errors
- Phenomenon: The port number input field in the database connection node configuration interface is grayed out and cannot be edited. Cause: The dedicated driver type for the gas industry database was not selected first, so the port number configuration item remains inactive.
- Phenomenon: The tool call node returns a 429 Request rate increased too quickly status code during runtime. Cause: Model call frequency was not limited, and no reasonable request interval parameter was configured.
- Phenomenon: The file upload node in the workflow cannot receive patrol photos normally. Cause: The correct file type whitelist was not set, or read/write permissions for the upload directory were not configured.
How to Verify Correct Configuration
- Start a test workflow, import a simulated pipeline pressure data set, and check if the node output includes the correct pressure value and device ID.
- Trigger a batch patrol record import, confirm that the workflow splits tasks according to the 50 records per batch threshold.
- Upload a patrol photo to the file upload node, confirm that the file can be stored normally and passed to subsequent nodes.
- Check the logs of the tool call node, confirm that no 429 status code is returned, and request frequency matches the preset requirements.
The values provided here are common starting points and should be measured 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.