Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
Bridge disease identification data is sourced from aerial images captured by bridge inspection drones, footage collected by ground high-definition cameras, and real-time data streams from structural health monitoring sensors. There are two data update cycles: batch uploads after a single inspection task is completed, and daily structural monitoring data updated every 15 minutes. A single data entry includes fields such as bridge ID, disease location coordinates (unit: meters), disease size (unit: millimeters), collection time, analysis level, and associated image file path. It is packaged in structured JSON format, with high-definition image attachments.
Constraints on HTTP Interfaces and External Systems from These Data Characteristics
The data characteristics of bridge disease identification create multiple constraints for HTTP interfaces. Batch data from single inspections has a large volume, so interfaces must support batch requests or paginated submissions to prevent single-transmission timeouts. The 15-minute update interval for real-time monitoring data requires interfaces to have low-latency response capabilities to support high-frequency data access. Data includes large image attachments, so interfaces must support chunked uploads or separate file storage callback interfaces to avoid overloading main requests. Structured fields include numerical values with units such as coordinates and sizes, so interfaces must pre-configure parameter verification rules to ensure incoming data meets format requirements.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Request timeout duration | 600 seconds | Adapts to the transmission time required for batch inspection data and high-definition images, avoiding single-request interruptions |
| Authentication configuration | Authorization header carrying a Bearer token | Complies with standard authentication specifications for FastGPT official interfaces, ensuring data transmission security |
| Custom parameter passing | variables passes bridge ID and monitoring area | Enables interfaces to filter data by specified scope, adapting to scenarios where multiple bridges are connected simultaneously |
| Response data parsing | responseData extracts core disease fields | Simplifies data processing workflows for external systems, filtering out unnecessary redundant information |
| File transfer limit | 1000 MB | Adapts to the size of high-definition aerial images attached to single data entries, avoiding large-file transfer failures |
| Retry strategy | Set based on actual measurements | Adapts to network fluctuation scenarios, ensuring the integrity of batch data submissions |
Three Common Configuration Mistakes
- Symptom: API calls return disease identification results that do not match those displayed on the FastGPT platform test interface, with some key fields empty. Cause: The specified bridge monitoring data range was not passed via
variables. The interface calls the full unfiltered dataset by default, leading to mismatched results. - Symptom: API requests return a 401 Unauthorized error. Cause: The Bearer token in the
Authorizationheader was not configured correctly, or the token has expired and become invalid. - Symptom: Frequent timeouts occur when submitting inspection data in batches. Cause: The request timeout duration was not adjusted to a length suitable for batch transfers, or the chunked upload mechanism was not enabled to handle large image attachments.
How to Verify Your Configuration Is Complete
- Send a test data request, check whether the fields returned in
responseDatainclude the preset core disease information. - View the interface authentication log, confirm that the token in the
Authorizationheader is correctly identified, with no unauthorized error reports. - Submit a single small test data entry, verify that the request timeout duration matches the actual transmission time, with no active interruptions.
- Pass the custom
variablesparameter, confirm that the data returned by the interface only includes disease records for the specified bridge ID.
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.