What Data for This Category Looks Like
Steel smelting business data primarily comes from industrial control collection systems, manufacturing execution systems (MES), equipment inspection ledgers, and internal office systems. Industrial control data updates at second or minute intervals, including real-time metrics such as blast furnace temperature, converter oxygen supply flow, and rolling mill rolling pressure. Fields include timestamp, equipment number, and monitoring value, with units corresponding to ℃, m³/h, MPa, and similar units. Production reports update daily, recording shift output and energy consumption, with fields including production batch number, work team, and number of qualified products. Office data includes employee attendance and approval documents, with fields including employee ID, department, and submission time, updated after each shift or in real time.
Constraints Imposed on Multi-turn Dialogue and Prompts
Steel smelting uses multi-source, heterogeneous data, which creates multiple constraints for multi-turn dialogue and prompt configuration. Real-time industrial control data updates frequently. Dialogue contexts must automatically filter out expired monitoring values to avoid using outdated metrics. In mixed multi-source data scenarios, prompts must clearly define usage rules for industrial control, production, and office data. This prevents confusion between fields from different data sources. Production reports and inspection logs have long text. Prompts must limit the scope and fields of information extraction to avoid redundant output. Standardized fields like equipment numbers and production batch numbers are common. Prompts must match identifiers of the corresponding format to ensure accurate query positioning.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context window length | 8000–12000 token | Covers the total content length of shift-level industrial control logs, production reports, and office approval documents |
| Question optimization | Enabled | Steel smelting has a large number of technical terms. Enabling this improves the large model's accuracy in understanding professional questions |
| Maximum single-recall document count | Top 10 entries | Balances information completeness and the risk of context overload, adapting to the recall needs of multi-source data |
| Variable binding | Bind daily production metrics via variables | Ensures multi-turn dialogue can track real-time data on daily equipment operation and output changes |
| Dialogue log retention period | 30 days | Meets the basic requirements for internal audit and compliance reviews |
| Prompt template update | Calibrate based on actual testing | Adapts to phased adjustments in production processes, preventing misalignment between templates and actual business operations |
Three Common Configuration Errors
- Symptom: Uploaded production reports and inspection logs are not included in the dialogue context, and responses do not mention relevant values or content from the uploaded data. Cause: The reference rules for uploaded data are not clearly specified in the prompt, or uploaded files are not bound to the
messagescontext queue. - Symptom: Visual content such as line charts of equipment monitoring data and report screenshots cannot be rendered in dialogue, only plain text descriptions are returned. Cause: The relevant configuration for in-dialogue image rendering is not enabled, or the prompt does not include clear instructions for generating visual content.
- Symptom: The Feishu username of the current operator is not displayed in the dialogue log, and multi-turn dialogue experiences response delays or timeout errors. Cause: The mapping relationship between employee IDs and Feishu accounts is not bound, the dialogue session is not associated with operator information via
chatId, and context overload occurs due to no limit on the number of single-recall documents.
How to Verify Proper Configuration
- Upload a daily production report, submit a question including "Calculate the average blast furnace temperature for the day", and verify that the response includes the corresponding value from the uploaded file.
- Initiate three consecutive queries about the parameters of the same rolling mill equipment, and verify that each response retains context from the previous round, with no repetition or omission.
- Check the dialogue log storage directory to confirm that interaction records for the configured retention period are retained.
- Submit a question including "Generate the daily energy consumption trend chart", and verify that the corresponding image or chart content is returned in the dialogue interface.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.