What This Category's Data Looks Like
Typical business entities for this category are smelting, electrolysis, testing, and scheduling departments of copper, aluminum, lead-zinc smelting enterprises. Daily generated documents include batching lists, smelting records, electrolytic cell status records, test reports, anode and cathode quality records, and environmental protection ledgers. Data sources cover concentrate and auxiliary material analysis, DCS systems, cell voltage and current monitoring, laboratory testing, energy and environmental monitoring, and other channels. Update frequencies vary by raw material batch, per furnace or cell, or in real time. Document fields include raw material composition ratios, equipment operating parameters, test result values, batch numbers, timestamps, and other items, with units matching the corresponding data type.
Constraints on Source Citation and Traceability
Data for this category comes from multiple sources with highly varied update rhythms. Traceability requires precise matching of core identifiers: batch numbers, furnace or cell numbers, and timestamps. This avoids mixing data across batches or equipment. Field formats differ across multiple document types. Matching rules must be configured for the document structures of different data sources. This ensures cited original data aligns with the process document or exception report currently being drafted. For real-time data such as cell voltage and current, the traceability chain must quickly retrieve the latest monitoring records. This ensures data timeliness during exception troubleshooting. The business logic linking processes and exceptions for this category is complex. Traceability must cover all process data nodes from raw materials to finished products. This provides complete evidence for process adjustments or exception accountability.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Knowledge base associated data sources | Bind four categories of data sources: concentrate analysis, DCS operation, test reports, environmental monitoring | Covers core business documents and data sources for this category |
quoteMaxToken | 800–1200 token | Adapts to the length of single-batch process documents in the smelting industry, avoiding truncation of critical parameters |
| Single recall count | Top 6 entries | Matches the number of document types related to single-batch processes, balancing recall comprehensiveness and context length |
| Traceability field matching rules | Match by batch number, furnace or cell number, and timestamp | This category’s data uses batch, furnace or cell, and time as core associated identifiers |
responseData | Return full source metadata | Meets the requirement of tracing original data when drafting exception reports |
detail | Enable full-link traceability | Facilitates tracing full-process data from raw materials to finished products when troubleshooting process exceptions |
Three Common Mistakes
- Phenomenon: An error occurs when viewing knowledge base citations in chat responses. Cause: No field association rules between data sources and knowledge base are configured, making it impossible to match corresponding data entries during traceability.
- Phenomenon: Variable references fail to take effect after selecting a knowledge base in the knowledge base search card. Cause: The metadata return configuration for the
responseDataparameter is not enabled, making it impossible to extract variable fields from the citation source. - Phenomenon: Process data cited in generated exception reports does not match the actual batch. Cause: The
quoteMaxTokenvalue is too small, truncating core associated fields such as batch numbers, leading to matching errors during traceability.
How to Verify Proper Configuration
- Import single-batch test documents such as batching lists and smelting records, submit a process document drafting request, and check whether the returned results include complete source metadata.
- Simulate an exception scenario by entering a question about abnormal cell voltage, and verify that the cited traceability data is linked to the real-time operating records of the corresponding furnace or cell.
- Adjust the
quoteMaxTokenvalue to verify that documents of different lengths can be fully cited without truncation. - Check that the configured data sources cover the four core categories: concentrate analysis, DCS operation, test reports, and environmental monitoring.
The configurations on this page are based on FastGPT v4.17.0.
The values provided here are common starting points and should be evaluated against the reader's own samples.