What the data for this category looks like
Core data for basic chemical continuous production originates from full production processes at enterprises in chlor-alkali, synthetic ammonia, methanol, soda ash, and related sectors. Daily documentation includes operating procedures, process indicator cards, DCS trends, laboratory reports, interlock bypass records, special work permits, shift logs, and other types. Data sources cover DCS/SIS systems, online analyzers, LIMS laboratory management systems, equipment condition monitoring tools, energy metering devices, and raw material storage tank sensors. Data update frequencies include real-time (such as DCS trends), per shift (such as shift logs), and daily (such as laboratory reports). Process documentation includes clear unit fields such as pressure MPa, temperature ℃, and flow t/h. Operational documentation includes structured fields such as approval status and execution time. This page is compatible with FastGPT v4.17.0.
What constraints do these characteristics impose on the citation sources and traceability link?
The multi-source, multi-update-frequency documentation traits of basic chemical continuous production create multiple constraints for citation traceability. First, real-time updated DCS trend data requires binding precise timestamps for traceability to prevent cross-time-period data confusion. Second, format differences across multiple document types require the traceability system to differentiate display logic for process parameter documents and work approval documents, enabling rapid positioning of corresponding links during cross-review. Third, the severe consequences of errors in interlock control require traceability data to be accurately linked to specific equipment, time, and operation records, with no allowance for fuzzy matching. Fourth, the need for collaborative verification across multi-source data requires the traceability system to simultaneously retrieve production data and management documents from different sources, supporting full-process cross-review.
How to configure the system
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 8000–12000 token | Basic chemical documentation includes long-sequence DCS data and complete process parameters, requiring sufficient tokens to retain full traceability context |
responseData | Includes original document snippets, collection timestamps, and document version numbers | Full binding of production data collection time and version is required to support precise traceability for cross-review |
detail | Enabled | Specific process indicators or interlock logic details must be displayed to help engineers verify consistency between actual production and documented requirements |
| Single search limit | Top 6 results | Basic chemical production documents have high relevance; too many recalled results will increase context processing load |
| Maximum context length | 16000–20000 characters | Cross-review requirements for integrating multi-source documents require space to hold complete citation snippets from multiple documents |
| Reranking similarity threshold | 0.75–0.85 | Filter low-relevance non-production-related documents and retain core process and operation data |
Three common configuration errors
- Phenomenon: Only 1 citation result is returned each time in the workspace knowledge base simple application. Cause: The single search limit configuration was not adjusted, and the default value restricts the number of recalled documents.
- Phenomenon: After importing process documents in JSON format, some long-sequence DCS trend files do not generate question-answer pairs and directly write the original text. Cause: The chunking logic was not adjusted for long-text sequence data, causing the embedding model to fail to correctly split semantic units.
- Phenomenon: An error pops up when clicking test after configuring the model. Forcing ignore allows operation to proceed but citation behavior is abnormal. Cause: The return fields of
responseDatawere not correctly configured, resulting in missing traceability data while the basic question-answering logic can execute normally.
How to confirm the configuration is complete
- Initiate a query about the process indicators of a specific device, and check whether the returned results include the original document's collection timestamps and version numbers.
- Import multiple production documents of different types, initiate a cross-document query, and confirm that the recalled results include at least two different types of production documents.
- Trigger a query for long-sequence DCS trends, and check that the length of the returned citation snippets falls within the
quoteMaxTokenconfiguration range. - Simulate an interlock bypass query scenario, and confirm that the returned citation results can be associated with the corresponding interlock bypass records and DCS alarm data.
The values provided are common starting points and should be measured against the reader's own samples.