What the data for this category looks like
Data for precast concrete components comes from BIM or detailed design documents, rebar and concrete batch ledgers, mold table and curing kiln operation logs, laboratory test records, and QR code traceability systems. Daily documents include component detailed drawings, rebar cutting lists, mold inspection forms, pouring and vibration records, curing records, and demolding and factory inspection reports. Data is updated per individual component, each batch of materials, and each curing batch in a kiln. Fields include component number, rebar specification, curing temperature, demolding strength, and others. Units include millimeters, megapascals, degrees Celsius, days, and others.
What constraints these characteristics impose on the "multi-turn dialogue and prompt words" link
Data sources for precast concrete components are scattered and updated frequently. Multi-turn dialogue must gradually align fields across multiple systems such as BIM detailed drawings, material ledgers, and production logs to avoid information deviation across data sources. Field differences across different documents are significant. Prompt words must clearly distinguish format requirements for different documents such as rebar cutting lists and curing records. Production data for individual components must be linked in real time. Dialogue must support dynamic retrieval of the latest batch information such as concrete strength and mold table number to ensure timeliness of process documents and abnormal reports. Errors may lead to component scrap or project delay. Multi-turn dialogue must include a verification step to confirm that key information such as embedded position and strength parameters is correct.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Dialogue context window | Retain the last 10 turns of dialogue + the latest 2200 characters | Adapt to multi-turn parameter verification for precast concrete component process documents, retain key information from historical production records |
variables | Bind component number and concrete batch number variables | Dynamically call the latest material test data and production ledger information |
messages | Limit maximum message count per dialogue turn to 8000 characters | Prevent model processing exceptions caused by excessive information in a single dialogue turn |
chatId | Bind session-specific chatId | Distinguish production dialogue contexts for different components, avoid cross-session information confusion |
| Knowledge base recall limit | Recall the top 7 relevant documents | Cover multiple core document types including component detailed drawings, cutting lists, and curing records |
| Timeout setting | 600 seconds | Provide sufficient time to handle complex abnormal report drafting and verification processes, prevent dialogue interruption |
Three Common Mistakes
- Phenomenon: The model's output language does not match the preset English prompt requirements, and only returns Chinese content. Cause: The language parameter is not explicitly bound in the prompt words, or the
variablesconfiguration does not associate a language variable, causing the model to fail to follow the English output requirements. - Phenomenon: An error occurs in the parsing process after uploading documents such as component detailed drawings and rebar cutting lists. Cause: No document splitting rule adapted to large-scale engineering drawings is configured, or the knowledge base recall limit is set too low to load complete drawing text content.
- Phenomenon: The application's internal variable calls and knowledge base recall records are not displayed on the dialogue details page. Cause: The detailed recording switch for session logs is not enabled, or the
chatIdbinding is not synchronized to the log storage module, causing key dialogue information to not be captured.
How to Confirm Proper Configuration
- Initiate a dialogue with a clear English output requirement, verify whether the language of the model's returned content meets the preset requirements.
- Upload a single component detailed drawing document, check whether the parsed text fully covers the key parameters of the drawing.
- Initiate a dialogue that includes a component number, verify whether
variablessuccessfully call the production ledger data of the corresponding batch. - View the session details page, confirm that the session log bound to
chatIdincludes complete dialogue and parameter call records.
The values provided are common starting points and should be measured against the reader's own samples.