What data for this category looks like
Data for precast concrete components is sourced from BIM detailed design documents, steel bar and concrete batch ledgers, mold table and curing kiln operation records, laboratory test reports, and product QR code traceability systems. Daily associated business documents include component detailed drawings, bar cutting lists, mold inspection records, pouring and vibration logs, curing parameter records, and demolding and factory inspection reports. Data updates are performed per single component, per batch of materials, and per curing kiln. Core fields include component unique ID, steel bar/concrete batch identifiers, mold table number, curing kiln number, test strength value, traceability QR code, and others. Units include millimeters, cubic meters, hours, and megapascals.
Constraints imposed on HTTP interfaces and external systems by these characteristics
Data for this category is updated frequently per single component, per batch of materials, and per curing kiln. HTTP interfaces must support precise query parameters for single components or multiple batches in a single request. Data sources are scattered across multiple internal systems, so interfaces must be compatible with raw data formats from different systems to achieve unified alignment. The business characteristic that each component corresponds one-to-one with on-site lifting positions requires that fields returned by the interface must fully match unique identifiers, with no missing or incorrect values. Defect analysis requires full-link data support, so interfaces must support associating multi-dimensional business document metadata to ensure complete traceability.
Configuration settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout | 60 seconds | Adapts to the loading duration of precast component curing records and test reports, prevents request interruptions caused by large documents |
| CORS configuration | Allow access domains from production MES and BIM systems | Matches the access paths of internal factory production systems, ensures external system call permissions |
| Retry attempts | First 3 attempts | Addresses temporary network fluctuations in mold table systems and laboratory systems, improves interface call success rate |
variables | Bind component unique ID, concrete batch number, curing kiln number | Accurately locate full-link data for single batches or single components, supports precise queries for defect analysis |
responseData | Return structured test records, curing parameters, traceability QR code fields | Unify data formats from multiple sources, simplifies logic processing for defect analysis |
Authorization | Configure dedicated API key | Complies with FastGPT interface authentication requirements, prevents unauthorized access |
Three common configuration mistakes
- Interface returns 404 - Resource not found. Cause: The
Authorizationparameter is not configured correctly, or the request path does not match the dedicated interface route for precast component data. - Third-party browser calls are blocked. Cause: Access domains from production systems are not added to the allowed list, resulting in CORS request interception.
- The
responseDatareturned by the interface does not include traceability QR code fields. Cause: QR code identifier parameters are not bound invariables, resulting in incomplete data extraction.
How to confirm configuration is complete and correct
- Send a test request carrying the
Authorizationparameter, verify that the return status code is 200. - Initiate an interface call from a third-party production system, confirm there are no CORS interception prompts.
- Review the
responseDatareturn results, confirm that core fields including precast component unique ID, curing duration, and test strength value are included. - Simulate a defect scenario to initiate a request, confirm that the interface returns full-link associated data for the corresponding batch.
The values provided are common starting points and should be measured against the reader's own samples.