What the data for this category looks like
Data related to pulp and papermaking processes and exceptions comes from multiple sources: wood pulp and waste paper batch records, DCS/QCS systems, on-paper machine measuring equipment, laboratory quality inspection reports, and energy and water treatment systems. Daily documents include pulp preparation sheets, beating records, paper machine operation records, online quality curves, sheet break and product change records, and more. Fields covered include pulp ratio, beating degree, machine speed, dryer cylinder temperature, grammage, moisture content, and others. Units include °SR, m/min, ℃, g/㎡, %, and more. Data update frequencies fall into three categories: real-time (online quality curves), per shift (beating and pulp preparation records), and per roll (sheet break and product change records).
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Multi-dimensional data sources and varied update frequencies require multi-turn dialogue to separate call logic for real-time online data and historical batch data. This prevents retrieval of redundant data. Diverse fields and units require prompt engineering to explicitly state parameter formats and units. This avoids unit mix-ups in generated results. The high-speed continuous web production process requires context length to fit the full troubleshooting workflow. It also prevents response delays caused by overly long contexts. Exception report drafting requires linking data from multiple stages. Multi-turn dialogue must gradually guide users to provide associated data source identifiers. This ensures the report includes complete exception traceability information.
How to Configure Settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind a unique identifier for each conversation | Ensure context for multi-turn conversations is correctly grouped, avoid mixing data from different sessions |
messages | Retain the first 7 rounds of conversation content | Cover the full process steps from pulp preparation adjustment to paper machine troubleshooting, fit the logical chain of process troubleshooting |
variables | Bind preset process field templates | Clarify required fields and unit requirements for exception reports and process documents, constrain generation format |
| Single search limit | Top 6 entries | Match the number of document batches per shift or per roll, avoid redundant data interfering with search results |
| Conversation timeout | 600 seconds | Adapt to delays in cross-system data pulling, avoid terminating the conversation before real-time process data is returned |
| Maximum context length | 8000–12000 token | Adapt to the association needs of multi-dimensional historical process data, avoid truncating key parameter information |
Three Common Mistakes
- Online conversations repeatedly search the knowledge base with no response. This occurs when the single search limit is not set, and too many cross-system data sources are bound, leading to excessive search latency.
- Generated process documents have inconsistent formatting and no fixed field structure. This occurs when preset format rules are not bound via the
variablesparameter, and only natural language prompts are used for constraints. - The model fails to recall pulp batch information shared in the prior conversation. This occurs when the context transfer logic for the
messagesparameter is misconfigured, so historical conversations are not included in the current request.
How to Verify Proper Configuration
- Initiate a conversation requesting a single pulp preparation sheet. Confirm the returned result includes required business fields such as pulp type, ratio, and beating degree.
- Run seven consecutive conversation rounds, supplementing different process parameters in each round. Confirm the model correctly associates information from prior conversations.
- Trigger an exception report generation request. Confirm the output matches preset field and unit requirements.
- Run a multi-turn concurrent test. Confirm the system does not experience unresponsiveness or timeout interruptions.
The values provided here are common starting points, and should be evaluated against the reader's own samples.