What This Category of Data Looks Like
Data for this category comes from cement plant mining, raw material, calcination, grinding, quality, and energy departments. Daily documents include raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy reports. Data sources cover online composition analysis systems, DCS control systems, laboratory equipment, kiln and mill operation equipment, raw and fuel ledgers, and energy metering devices. Update frequencies include real-time, per-shift, and daily. Document fields include raw material mixing parameters, kiln temperature curve values, laboratory indicator readings, inspection record numbers, and energy consumption readings. Corresponding units include kilograms, degrees Celsius, square meters per kilogram, and hours.
Constraints for Citation and Traceability Posed by These Characteristics
The multiple sources, varied update frequencies, and diverse document types of data in this category create clear constraints for citation traceability. There are significant differences in time granularity across data sources. Online composition analysis and DCS data are updated in real time. Laboratory reports and energy reports are generated per shift or daily. Traceability must support precise matching of corresponding records by time range. The field logic varies across different document types. Raw material batching plans need to be linked to raw and fuel ledgers. Kiln operation records need to be bound to DCS curves. Traceability configuration must distinguish association rules for different document types. At the same time, abnormal clinker quality must be traced back to full-chain records for specific production periods. It is necessary to ensure that cited source data can be fully mapped to production links. Incomplete traceability can lead to clinker quality fluctuations, kiln system scaling and shutdowns, or cement strength failures that cause returns. Unlike the transparent melt and forming annealing stages of glass production, the continuous calcination and grinding processes of this category have higher requirements for the time span of traceability.
Configuration Settings
This page is based on FastGPT v4.17.0 for configuration.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the average paragraph length of cement production documents, and avoids splitting that disrupts the integrity of batching plans and kiln temperature curves |
| Similarity Threshold | 0.75–0.85 | Distinguishes the degree of association between production records, and filters irrelevant inspection records and energy reports |
| Single Search Limit | Top 6 entries | Matches the number of core inspection and process records generated per shift, and balances recall completeness and retrieval efficiency |
quoteMaxToken | 2000 token | Limits token consumption per citation, and avoids exceeding system context window limits |
responseData | Return document type and source node | Clearly identifies the generation link of traceability data, and matches the record sources of multiple departments in cement production |
detail | Enable traceability detail display | Displays the original storage path of cited data, and facilitates troubleshooting |
Three Common Configuration Mistakes
- An error appears in the code run node input box after clicking the citation plugin in the workflow. The cause is that the return format of the
responseDataparameter is not configured, so the traceability data returned by the plugin cannot be parsed normally by the workflow node. - The value set for
quoteMaxTokenis too large, causing a context overflow error. The cause is that the average token occupancy of full-chain cement production records is not matched, exceeding the system context window limit. - The single search limit is set too low, resulting in insufficient number of returned traceability results. The cause is that the number of multiple types of production documents generated per shift is not considered, so complete production link records cannot be covered.
How to Verify Proper Configuration
- Import a single raw material batching plan document, initiate an inspection audit request, and check whether the returned traceability results are linked to the corresponding raw and fuel ledger records.
- View the parameter values of the configuration items, confirm whether the
detailparameter is enabled, and whether the value ofquoteMaxTokencomplies with the current system's context window limit. - Initiate an inspection request that includes a kiln temperature curve, and check whether the returned traceability results include DCS operation data for the corresponding time period.
- Adjust the value of the single search limit, and verify whether the number of returned traceability results matches the expected number of production records.
The values listed above are common starting points, and should be evaluated against the reader's own samples.