What Data for This Category Looks Like
Data for this category is sourced from raw material batch ledgers, factory MES systems, slurry and coating testing equipment, workshop dew point monitoring devices, formation and grading cabinets, and laboratory testing instruments. Update cycles cover single-batch production, single-cell output, and real-time operating conditions. Daily documents include batching records, coating and rolling parameter ledgers, winding or lamination operation records, liquid injection process logs, formation and grading data reports, and OCV and safety test reports. Data fields include batch identifiers, detection timestamps, process parameter values, and equipment operating status codes. No additional non-business fields are included.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
Data for this category updates frequently in real time, splits data by single batch and single cell, and ties strongly to production processes. These factors create clear constraints on HTTP interface request frequency and parameter format. Systems must support batch requests triggered by production batches, and adapt to real-time pulling of single-cell data. Interface parameters must strictly match preset business fields to prevent non-standard values from entering subsequent audit processes. Interface protocols for dedicated production equipment have differentiated requirements. Prioritize adapting to existing production line data formats to ensure docking compatibility. Data verification must cover reasonable ranges for process parameters, to prevent abnormal data from triggering subsequent production risks.
How to Set Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Carry a production line-specific Bearer token, set validity period to 7200 seconds | Match the identity verification rules of production line external systems, avoid frequent token refreshes that affect interface stability |
variables | Pass three core variables: batch number, cell serial number, and detection type; fill variable values in real time according to the production process | Adapt to FastGPT v4.17.0 variable transfer rules, accurately pull corresponding detection and record data |
responseData | Only return three specified fields: batching parameters, coating data, and formation and grading results | Compress interface return size, adapt to bandwidth requirements for high-frequency real-time requests |
| Request timeout period | Set to 10-30 seconds, calibrated based on actual measurements | Cover interface response delays of dedicated production equipment, avoid data pulling interruptions due to timeouts |
| Interface retry threshold | Set to 2 retries with a 5-second interval | Respond to temporary fluctuations in production line equipment, ensure data pulling success rate |
Three Common Errors
- Phenomenon: The conversation reply returned by an interface call carries the historical content of a previous variable in the result of the next variable. Cause: The input variables for a single session were not isolated in the
variablesparameter, causing the model to reuse previous conversation context data. - Phenomenon: Unable to initiate external system requests in a local deployment environment, with connection failure or insufficient permission prompts. Cause: The
Authorizationidentity verification parameter was not configured, or the local network did not open access permissions for the corresponding production line interface. - Phenomenon: The business data fields returned by the interface are incomplete, making it impossible to complete inspection item matching. Cause: The core detection and record fields required for this category were not specified in the
responseDataparameter, resulting in the external system returning unexpected filtered results.
How to Confirm Configuration Is Complete
- Initiate an interface request for a known production batch, check if the returned
responseDataincludes the preset core business fields. - Call the
Authorizationtoken verification interface, confirm that the returned status code is 200 and there are no identity verification failure prompts. - Simulate a real-time request for a single cell, check if the interface response time meets the real-time data update requirements of the production line.
- Initiate multiple retry requests, confirm that the interface can normally return valid data during temporary fluctuations.
The configuration values listed above are common starting points. Adjust them based on your own specific samples and operational conditions.