What This Category of Data Entails
Data sources for this category include raw hot metal and scrap data, real-time operation data collected by L2 process control, composition test results from the laboratory, production scheduling records from the MES system, energy consumption data from the energy medium system, and equipment status monitoring data. Daily production documents include heat plans, batching lists, converter smelting records, continuous casting process records, and slab judgment sheets. Data updates sync per heat, real-time, and shift cycles. Core fields include heat number, cast sequence identifier, smelting temperature, equipment operating parameters, composition test indicators, and defect judgment results. Data length changes dynamically with heat production links.
Constraints for HTTP Interfaces and External Systems
This category of data is multi-source, dispersed, and has large differences in update rhythms. Real-time data requires millisecond-level synchronization. Heat-level data must be associated by production batch. HTTP interfaces must support pulling associated data sets by unique heat number or cast sequence identifier. Field structures of multiple data sources vary greatly. Interfaces must support flexible specification of returned fields to avoid redundant data transmission. High-temperature continuous production processes do not allow arbitrary shutdowns. Interface calls must have timeout fault tolerance and idempotency guarantees. This prevents production traceability processes from being interrupted by a single failed call. Shift-based batch summary statistical data must support paginated pulling. This adapts to system data volumes of different scales.
Configuration Settings
These settings apply to FastGPT v4.17.0
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {第三方系统API密钥} | Complies with general authentication specifications for industrial production system APIs, ensuring data call security |
variables | {"炉次编号": "", "浇次标识": ""} | Matches core production association fields for this category, enabling precise pulling of associated data by heat or cast sequence |
responseData | Filter returned results by specified fields | Filters redundant data, adapting to the structure of multi-source heterogeneous production documents |
| Interface timeout period | 600 seconds | Adapts to the time requirements of real-time data synchronization and batch data pulling for this category |
| Retry count | 3 retries | Prevents traceability processes from being interrupted by single call failures in high-temperature continuous production |
| Single pull data volume | 100–500 records | Adapts to transmission bandwidth and processing efficiency of multi-source data |
Three Common Misconfigurations
- Interface calls return 401 Unauthorized, with incorrect authentication information carried. The cause is failure to configure the
Authorizationparameter according to specifications, and failure to generate an authentication token that meets third-party system requirements. - Target data fields returned by the interface are empty, unable to match production traceability requirements. The cause is failure to pass correct heat number or cast sequence identifiers in
variables, so corresponding batch production data cannot be associated. - Abnormal format errors are returned when calling a third-party analysis model. The cause is failure to specify return field rules adapted to model output in
responseData, leading to inability to correctly parse model return results.
How to Verify Successful Configuration
- Call the specified interface, pass a verified heat number or cast sequence identifier, check if the returned
responseDataincludes expected production record fields. - Simulate a single call failure scenario, check if the system automatically initiates retries according to the configured retry count, and does not interrupt the current traceability process.
- View authentication logs, confirm that the format of the
Authorizationparameter meets the authentication requirements of the third-party system, with no authentication failure records. - Adjust the associated parameters in
variables, verify that the data returned by the interface updates synchronously as the parameters change.
The values given are common starting points and should be measured against the reader's own samples.