What the data for this category looks like
Data sources for internal office operations of communication towers and infrastructure include base station operation and maintenance management platforms, logs collected by on-site inspection terminals, alarm data from power environment monitoring systems, and circulation records from internal work order systems. Data update rhythms vary: real-time alarm data is synchronized immediately, inspection records are updated at inspection completion nodes, and work order data is updated at circulation nodes. Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on workflow orchestration
Multi-source heterogeneous data sources require workflow orchestration to configure multiple types of data access nodes to adapt to operation and maintenance logs, alarm data, and work order information in different formats. Differentiated update rhythms require distinguishing trigger modes: real-time alarm data needs event trigger nodes, and batch inspection data needs scheduled trigger nodes to avoid data synchronization delays or repeated execution. Enumerated field types and unique identifiers require that workflow variables configuration add field verification rules to ensure that fields such as base station ID and fault level match preset formats, preventing invalid data from entering the process. Cross-system data association requirements require configuring association query nodes in the workflow, associating work orders and inspection records based on base station unique identifiers to integrate cross-system operation and maintenance information.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Event trigger / Scheduled trigger | Select based on data update rhythm: use event trigger for real-time alarm data, use scheduled trigger for batch inspection data, with a cycle set to 15 minutes / 60 minutes |
variables Configuration | Include verification rules for fields including base station ID, fault level, and processing time limit | Match preset formats and enumerated ranges of data fields to ensure legal process input data |
| Association Query Node | Associate work order and inspection data based on base station unique identifier | Enable linked integration of cross-system operation and maintenance information to meet internal office information needs |
| Timeout Threshold | 300 seconds | Adapt to the average response duration of cross-system interface calls to avoid process execution blocking |
| Loop Execution Configuration | Process by inspection batch | Address batch processing requirements for batch inspection data, with loop counts determined through actual measurement |
Three common errors
- Phenomenon: A "field format mismatch" prompt appears during workflow execution, and the association query returns empty results. Cause: Field verification rules for
variablesare not configured, and parameters are not passed in accordance with the enumerated values and unique identifier formats of data fields. - Phenomenon: Workflows for batch inspection data are executed repeatedly or with delays. Cause: Incorrect trigger mode selection, using scheduled trigger for real-time alarm data, or not adjusting the scheduled cycle to match the data update rhythm.
- Phenomenon: Workflows cannot complete loop processing of multiple batches of inspection data. Cause: No trigger conditions are configured for the loop execution node, or the loop count is set beyond the range allowed by the system.
How to confirm configuration is correct
- Submit test data, check whether the workflow's trigger node starts according to preset rules, and confirm that the trigger logic matches the data update rhythm.
- View process logs, verify whether the association query node can correctly associate cross-system data based on the base station unique identifier, and confirm that the field matching rules take effect.
- Trigger a single test workflow, check whether the timeout threshold setting matches actual interface response conditions, and confirm that no blocking errors occur in the process.
- Submit batch test data, verify whether the loop execution node processes data by batch, and confirm that the loop logic meets business requirements.
The values provided are common starting points and should be validated against actual operational 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.