What data looks like for this category
Data related to pulp and paper equipment inspection and maintenance comes from wood pulp and waste paper batch records, DCS/QCS systems, paper machine on-line measurement equipment, laboratory reports, energy and water treatment systems. Data update frequencies cover real-time operating conditions, shift logs, and per-roll batch records. Daily associated documents include pulp preparation sheets, beating records, paper machine operation logs, online quality curves, laboratory test reports, and sheet break and product change logs. Document fields include pulp ratio, beating degree, paper basis weight, moisture value, and other professional units corresponding to different production links.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Dispersed data sources and inconsistent update frequencies require multi-turn dialogue to associate documents with different time granularities, and prompts to clearly distinguish between real-time operating condition data and historical log information. High-speed continuous web production requires multi-turn dialogue to quickly associate historical sheet break and product change records, and prompts to focus on balance adjustment logic from the wet end to the dry end of the paper machine. Production errors directly lead to paper roll downgrades and shutdown losses, requiring multi-turn dialogue to retain complete context to trace historical inspection records, and prompts to limit the retrieval scope to documents related to the current production batch.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the single-paragraph information density of documents such as pulp preparation sheets and beating records |
| Overlap Length | 100–150 characters | Retains the association logic of cross-chunk pulp ratios and paper machine operating parameters |
| Single Search Limit | Top 6 results | Covers multi-link data that may be involved in a single round of dialogue |
| Maximum Context | 3000 characters | Retains historical parameters for multi-turn inspection dialogues and avoids context overflow |
chatId Binding | Generated by equipment number | Associates historical operating records and sheet break logs for the corresponding paper machine |
variables Parameter Passing | Pass current batch pulp parameters | Accurately matches pulp preparation sheet data for the corresponding batch |
Three common mistakes
- Symptom: A "no knowledge base selected" error is returned when calling the dialogue interface, but the function works normally in debug preview. Cause: The knowledge base configuration corresponding to the pulp and paper scenario is not bound in the
messagesparameter, or the current bound knowledge base identifier is not passed invariables. - Symptom: Context is lost during multi-turn dialogue, and previous inspection records cannot be associated. Cause: The maximum context length is not configured correctly, or
chatIdis not generated by equipment dimension, causing dialogue context to be confused across devices. - Symptom: Search result matching accuracy is low, and corresponding sheet break records cannot be found. Cause: The chunk length is set too large, causing key sheet break and product change records to lose association information after being split.
How to confirm correct configuration
- Initiate a simulated multi-turn dialogue, enter a sheet break query instruction corresponding to the paper machine, and check whether the returned results include matching sheet break and product change log data.
- Pass the
chatIdandvariablesparameters when calling the dialogue interface, and check whether the context returned by the interface includes historical dialogue equipment parameters. - Adjust the chunk length parameter to verify whether the search results cover different document types such as pulp preparation sheets and beating records.
- View the dialogue log in the FastGPT v4.17.0 backend to confirm that the historical records bound to
chatIdwill not interfere with the retrieval logic of new dialogues.
The values given are common starting points and should be measured against the reader's own samples.