Ledger Summary and Report Generation for Nuclear Power Operations: Multi-turn Dialogue and Prompt Engineering

Ledger Summary and Report Generation for Nuclear Power Operations: Multi-turn Dialogue and Prompt Engineering

What this category of data looks like

Nuclear power operation ledger data comes from operation data collection systems, equipment inspection terminals, and safety supervision records. It updates once every 15 minutes to once per hour. Each individual ledger document includes fields for unique equipment identifier, collection time, core operating parameters, abnormal status, and disposal process. Parameter units include kelvin, megapascals, hours, and others. Most individual documents range from hundreds to thousands of characters. A single day’s ledger data for one equipment can form a record set of tens to hundreds of entries.

What constraints these characteristics impose on multi-turn dialogue and prompt engineering

The real-time update feature of nuclear power operation ledgers requires multi-turn dialogue to limit the context time range. This avoids referencing expired historical data. Multiple fields and specialized units require prompts to clearly specify parameter names and their corresponding units. This prevents generating summary results that do not comply with nuclear power industry standards. The relatively long length of individual documents means the context window must match the document length. It must also avoid exceeding the model’s token processing limit. Multi-turn dialogue must associate equipment identifiers with collection times. This ensures summary reports correspond to the correct equipment and time interval, and avoids mixing data across devices or time periods.

Configuration settings

The following configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
Maximum number of context entriesFirst 10 entriesIndividual nuclear power ledger documents are relatively long. Excessive context will exceed the model’s token limit. 10 entries cover approximately one hour of continuous operating ledger data
messages parameterOnly include conversation history from the past 1 hourNuclear power operation data updates in real time. Expired conversations introduce outdated parameters. The 1-hour range matches the ledger update rhythm
variables parameterBind equipment ID and time intervalLedger data is categorized by equipment and time. Binding variables ensures multi-turn dialogue focuses on the specified range, avoiding cross-device confusion
chatId parameterGenerate unique ID per equipment + dateEnsures multi-turn dialogue for the same equipment shares context, preventing accidental session resets
Prompt templateInclude parameter unit descriptionsNuclear power parameters include specialized units such as kelvin and megapascals. Prompts must explicitly require retaining units to ensure report format compliance

Three common mistakes

  • Symptom: The workflow sets the number of chat records to 0, and multi-turn dialogue cannot retain historical context. Cause: The messages parameter is not used correctly to pass conversation history, so each call is treated as a brand new session.
  • Symptom: The result returned after calling the interface does not match the preset equipment or time range. Cause: The variables parameter is not used to bind the target equipment ID and time interval, and the prompt does not clearly limit the data retrieval range.
  • Symptom: After configuring 6 chat records in the workflow’s text extraction node, the summary report contains redundant non-target time period data. Cause: The real-time update feature of nuclear power ledgers is not considered. Excessive context introduces expired operating data from non-specified time periods.

How to verify proper configuration

  • Initiate a first-round dialogue that includes a specific equipment ID and time interval. Check whether the returned context includes the operating parameters of the corresponding equipment.
  • Initiate a follow-up question associated with the previous query. Check whether the model can associate the equipment information and parameter requirements from the historical dialogue.
  • Check whether the chatId parameter remains consistent across multiple calls in the same session. This ensures the context has not been accidentally reset.
  • Verify that the generated summary report includes the parameter units specified in the prompt. This complies with the format standards for nuclear power ledgers.

The values provided here are common starting points, and should be evaluated against the reader’s own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.