What This Category of Data Looks Like
Pulp and paper production ledger data sources include wood pulp and waste paper batch archives, DCS and QCS system data, paper machine online measurement records, laboratory test reports, energy and water treatment system logs. Daily documents include pulp preparation sheets, beating operation records, paper machine operation logs, online quality curves, sheet break and product change ledgers, and more. Data update cycles fall into three categories: real-time, shift-based cycles, and per-roll production cycles. Fields include pulp ratio parameters, paper machine operating speed, grammage, thickness, sheet break duration, and more, with corresponding units such as kilograms, revolutions per minute, grams per square meter, millimeters, and more.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Pulp and paper production ledger data has scattered sources and diverse types. Multi-turn dialogue must uniformly call data sources from different systems. Prompts must clearly define parsing rules for different documents such as pulp preparation sheets and online quality curves. Data update cycles range from real-time to periodic levels. Dialogue must support filtering data by time granularity to avoid querying outdated ledger content. The ledger data volume for a single paper roll is large. Multi-turn dialogue must limit the number of contexts and retrieval results to prevent excessive retrieval latency. Production also uses fixed global parameters. Systems must support persistent storage of global variables to avoid repeated configuration.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Dialogue session identification configuration | Bind chatId | Binding the session identifier ensures correct association of multi-turn dialogue contexts and retrieval results, adapted for FastGPT v4.17.0 |
| Maximum context length | 8000–12000 characters | Pulp and paper ledgers contain multiple document types. A longer context retains complete historical dialogues and summaries of multiple ledgers, avoiding loss of key parameters |
| Variable storage rule | Global persistent variables | Pulp and paper production has fixed global parameters such as paper machine web width and standard pulp ratio. Persistent storage avoids repeated configuration |
| Historical dialogue reference switch | Enabled | Multi-turn dialogue requires association with historical ledgers such as sheet breaks and product changes. Enabling this switch allows automatic calling of historical content in messages |
| Retrieval trigger condition | Triggered on every dialogue | Pulp and paper data updates in real time. Forced retrieval on every dialogue ensures access to the latest online quality curves and operation records |
| Single return result count | Top 8 entries | A single pulp and paper ledger type has a large data volume. Too many results increase retrieval latency. The top 8 entries cover most query needs |
Three Common Misconfigurations
- Only partially triggering knowledge base retrieval during dialogue: The symptom is that some queries do not return ledger data. The cause is failing to set forced retrieval on every dialogue, only triggering retrieval when keywords match.
- Global variables failing to persist: The symptom is that preset parameters such as paper machine web width and standard pulp ratio are lost after each dialogue restart. The cause is not enabling global persistent storage for
variables. - Excessive retrieval latency after multi-turn dialogue: The symptom is that knowledge base retrieval latency exceeds 60 seconds as dialogue rounds increase, with normal latency in new windows. The cause is failing to limit maximum context length or single return result count, leading to each retrieval loading excessive historical dialogue and redundant data.
How to Verify Proper Configuration
- Initiate a query including "today's paper machine operation data", check if returned results include the latest DCS system logs and online quality curves.
- Preset global variables such as "paper machine web width", restart the dialogue, and check if the variables retain their preset values.
- Initiate multiple consecutive queries, check if retrieval latency stays within a reasonable range with no significant fluctuations.
- Initiate a query including historical keywords, check if returned results associate previously queried sheet break and product change records.
The values provided are common starting points and should be measured against the reader's own samples.