What This Category of Data Looks Like
Data related to equipment inspection and maintenance Q&A for photovoltaic cell manufacturing typically comes from silicon wafer incoming materials, MES systems, production equipment such as diffusion furnaces, coating equipment, and printers, EL and IV testing equipment, and laboratory data. Daily documents include process cards, diffusion and coating parameters, printing and sintering records, EL inspection images, IV grading data, and yield reports. Data update frequencies cover per-piece inspection, batch production, and daily summaries. Fields include batch number, process parameters, electrical performance score, defect type, and others. Some inspection images are binary format files.
What Constraints These Characteristics Bring to the "HTTP Interfaces and External Systems" Link
Data sources for photovoltaic cell manufacturing are scattered and update frequencies vary. This requires HTTP interfaces to support concurrent calls for multi-source data and format compatibility. Different document types have large field differences. Some data includes binary inspection images, so interfaces must support multi-format requests and responses. High-frequency per-piece inspection data generates a large volume of requests. Interfaces must adapt to short-cycle data collection rhythms to avoid timeouts or rate limiting. At the same time, equipment inspection and maintenance results directly impact production process windows. Interface stability is directly linked to product conversion efficiency and appearance quality. A reliable failure handling mechanism must be configured.
How to Set Up Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Authorization | Bearer {external_service_token} | Complies with HTTP standard authentication format and adapts to the authentication requirements of external systems |
| variables | Pass {"batch_no": "xxx", "iv_score": "xx.x", "defect_type": "xxx"} | Matches photovoltaic cell batch, electrical performance, and defect data, and aligns with parameter requirements for inspection scenarios |
| responseData | Extract the {"repair_opinion": "xxx", "error_code": "xxx"} fields | Returns structured maintenance suggestions and status codes for easy reference by subsequent AI conversations |
| Token Persistence Configuration | Enable persistent storage | Prevents loss of channel and token configuration after restart, and meets the stable operation requirements of production environments |
| Interface Timeout | 30–60 seconds | Adapts to the typical delay of equipment data collection and maintenance suggestion generation |
| Context Passing Method | Pass custom context via the variables field | Replaces system history concatenation and meets context requirements for specific inspection scenarios |
This configuration applies to FastGPT v4.17.0.
Three Common Configuration Mistakes
- Symptom: After restarting the system, external system channel configuration and token information are lost, and interface calls cannot be initiated normally. Cause: FastGPT persistent storage configuration is not enabled, and configurations are only saved in memory.
- Symptom: AI conversations cannot correctly reference results retrieved from the knowledge base, displaying empty content or messy formatting. Cause: Structured retrieved content is not returned in the
responseDataformat, only plain text is returned. - Symptom: Custom context is not correctly used by the AI, and the system still uses historical records to concatenate context. Cause: Custom context parameters are not passed via the
variablesfield, and the system's default context logic is incorrectly used.
How to Confirm the Configuration Is Successfully Set Up
- Call the test interface and check if valid
Authorizationauthentication information is present in the request header. - Pass preset photovoltaic cell batch and inspection data, and confirm that the
variablesparameter is correctly parsed and applied to the retrieval workflow. - Trigger the equipment inspection process, and verify that the maintenance suggestions and status codes returned by
responseDatafollow the expected format. - Restart the system, confirm that external system channel and token configurations are retained, and verify that persistent storage is active.
The values provided are common starting points and should be evaluated against the reader's own samples.