What data for this category looks like
Data for this category originates from hot metal and scrap collection systems, L2 process control terminals, laboratory testing systems, manufacturing execution systems (MES), energy medium monitoring platforms, and equipment condition monitoring devices. Daily documents include heat plans, batching lists, converter smelting records, composition analysis reports, continuous casting process parameter records, and slab quality judgment sheets. Data update cycles cover per-heat generation, real-time push, and shift-level summary archiving. Fields include hot metal temperature, final smelting composition, continuous casting pulling speed, equipment operating duration, and others. Corresponding units are degrees Celsius, percentage, meters per minute, and hours.
What constraints these characteristics impose on HTTP interfaces and external systems
The real-time nature and heat-bound characteristics of iron and steel smelting and continuous casting require HTTP interfaces to support low-latency data pulling and precise single-heat queries. The demand for multi-source heterogeneous data access requires interfaces to support compatible field formats for different industrial systems, preventing data parsing errors. The high-temperature continuous process that cannot be shut down requires interfaces to include retry mechanisms and breakpoint resume capabilities, preventing single request failures from disrupting heat scheduling. The need for shift-level summary archived data requires interfaces to support batch queries by time range, adapting to daily report generation for scheduling departments. The transmission of large-size quality documents such as slab judgment sheets requires interfaces to support multi-field combinations or large-file request bodies, meeting complex data transfer needs.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout | 30–60 seconds | Adapts to the latency requirements of real-time heat data pulling, avoiding blocking production processes |
| Authentication credential configuration | Authorization header carries a fixed token | Complies with FastGPT v4.17.0 industrial scenario security configuration specifications |
| Context variable binding | variables binds heat number, cast sequence number parameters | Accurately matches single-heat or single-cast sequence equipment inspection and maintenance data queries |
| Response data processing | responseData filters non-essential fields and retains original units | Adapts to the field format requirements of internal MES systems, reducing data conversion overhead |
| Batch request limit | Top 20 records | Balances data transfer efficiency and production system load pressure |
| Single file upload limit | 1000 MB | Adapts to the transfer requirements of large-size documents such as continuous casting process records |
| Retry count | 3 times | Addresses temporary network fluctuations, avoiding single request failures from disrupting heat scheduling |
Three common configuration errors
- Phenomenon: The interface cannot receive multiple image or PDF files, and returns an error about missing parameters. Cause: The interface support for multi-file uploads is not configured, and the multi-modal data transfer requirements of on-site equipment inspection are not adapted.
- Phenomenon: The interface returns status code 413, and the request body fields are empty. Cause: The single request data volume limit is not adjusted, exceeding the transfer limit allowed by the interface.
- Phenomenon: Streaming responses are interrupted, and complete equipment maintenance Q&A results cannot be obtained. Cause: Correct streaming transmission parameters are not configured, and the long-context Q&A requirements of industrial scenarios are not adapted.
How to verify correct configuration
- Initiate a query request for single-heat data, and verify that the returned fields match the field format of the internal MES system.
- Simulate temporary network interruptions, and verify that the interface's retry mechanism triggers normally and resumes data acquisition.
- Upload a test file that conforms to the production document format, and confirm that the interface can normally receive and return processing results.
- Configure batch request parameters, and verify that the number of returned records matches the preset batch limit.
The values provided are common starting points and should be evaluated against the reader's own samples.