What Data for This Category Looks Like
Core data for communication towers and infrastructure comes from three sources: operation and maintenance management platforms, on-site inspection logs, and asset registration systems. Data update frequency changes based on inspection task completion, with real-time synchronization after a single inspection is finished. Each document typically includes fields such as tower unique ID, latitude and longitude coordinates, tower height, load-bearing parameters, inspection time, fault type, and maintenance plan. Field units include physical units like meters, square meters, hours, and megapascals. Some documents include high-definition image attachments taken on-site, with a single attachment size usually not exceeding 1000 MB.
What Constraints Do These Characteristics Impose on the "Workflow Orchestration" Link
Data for this category is scattered across sources and uses diverse field units. This requires workflows to support multi-data source parameter binding and unit verification. Real-time updated inspection data requires workflows to support event-triggered modes, to avoid delays caused by scheduled polling. Image attachments included in documents require workflows to support parameter passing for file links, while adapting to parsing rules for different attachment formats. Additionally, the uniqueness of tower assets requires workflows to accurately match parameters for the corresponding tower when generating documents, preventing cross-tower data confusion. Workflows must also handle the need to integrate historical data across different inspection cycles.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Event trigger + daily backup verification | Inspection data is generated in real time. Event trigger can start document drafting processes promptly, while daily backup verification covers untriggered abnormal tasks |
| variables | Auto-map by field name + enable unit verification | Matches field names of multi-source data to avoid parameter misalignment. Unit verification prevents unit mixing issues when generating documents |
| Timeout Period | 600 seconds | Generating documents by integrating multiple inspection reports and asset data takes relatively long on average. Reserves sufficient runtime |
| Context Length | 8000 characters | Generating compliant inspection and maintenance documents requires integrating multiple segments of data. This length covers content requirements for most scenarios |
| Error Retry Count | 2 times | Addresses temporary fluctuations in data source connections, prevents process interruption from single abnormal occurrences |
| nodeId | Strictly correspond to workflow node IDs | Ensures correct call relationships between workflow nodes, prevents incorrect node associations |
Three Common Misconfigurations
- Workflow fails to retrieve uploaded file links during runtime: The symptom is that the parameter panel shows empty file fields after the process starts, and returned results do not include attachment content. The cause is that receiving rules for file-type parameters are not declared in the
variablesconfiguration, and metadata fields for uploaded files are not bound. - Process returns nodeId invalid error after startup: The symptom is that the workflow status shows failed, and the log prompts "specified node does not exist". The cause is that the
nodeIdparameter of associated nodes is not updated after copying the workflow template, resulting in broken node call relationships. - Generated documents contain incorrect tower parameters: The symptom is that tower height, location and other information in the document do not match the actual asset ledger. The cause is that variable mapping does not match by field name, and parameters from other towers are mistakenly brought into the current process.
How to Confirm the Configuration Is Correct
- Upload a real file containing tower IDs and inspection records, trigger the workflow, and check if the parameter panel correctly loads the full link and metadata of the file.
- View the workflow runtime log, confirm that the values of
variablesparameters completely match the field content of the uploaded file, and no unit verification exception prompts are triggered. - Manually modify the parameter value of one field, run the workflow, and check if the generated document is synchronously updated to the modified content.
- Simulate a temporary disconnection scenario of the data source, trigger the workflow, and confirm that the process triggers the specified number of retries as configured, and returns a clear error prompt after timeout.
The values provided are common starting points and should be measured against applicable 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.