Quality Issue Traceability and Defect Analysis for Ready-Mixed Concrete Production: Multi-Turn Dialogue and Prompt Engineering

Ready-mixed concrete production data originates from engineering orders, sand, gravel, cement and admixture inspections, moisture content testing

What Data for This Category Looks Like

Ready-mixed concrete production data originates from engineering orders, sand, gravel, cement and admixture inspections, moisture content testing, mixing plant control systems, and project laboratories. Daily documents include mix proportion notices, opening identification records, production and delivery slips, raw material inspection records, test block records, and strength reports. Data updates occur per vehicle production batch, per batch of incoming raw materials, and daily summary statistics. Fields include slump, moisture content, strength grade, departure time, pouring location, and others. Corresponding units are millimeters, percentage, megapascals, hour-minute time format, and engineering location names.

Data for this category updates by vehicle, batch, and day. Multi-turn dialogue must accurately match the context of a single production or raw material batch to avoid mixing data across batches. Multiple closely related document fields must be called, so prompts must clearly limit dialogue context to only the current engineering order and corresponding production batch. Test block strength reports require waiting for age verification, so multi-turn dialogue must support delayed querying of associated data. It must also handle format differences across data sources, such as numeric data from mixing plant control systems and text-based inspection records from laboratories. The number of parameters handled in a single turn is large, so multi-turn dialogue processes should gradually supplement necessary fields to avoid overload from one-time input.

How to Set Up the Configuration

This configuration is based on FastGPT v4.17.0.

Configuration ItemRecommended ApproachRationale
Maximum ContextLast 20 turns of dialogue contentReady-mixed concrete production data is associated by batch; 20 turns can cover the dialogue logic for the full production cycle of a single order and avoid redundant context
variablesBind engineering order number, pouring locationThe core associated fields for this category are engineering orders and pouring locations; binding via variables allows quick location of corresponding production and inspection data
messagesFilter historical messages by production batchAvoid mixing production data from different batches in dialogue, ensure multi-turn dialogue only associates context for the current batch
Single Search LimitTop 8 matching recordsThis category has fewer data entries per batch; 8 records can cover core associated documents such as mix proportions, raw material inspections, and test block records
Question OptimizationEnabledConvert vague user questions (such as "insufficient strength") into precise queries that can match specific batches and inspection reports
chatIdBind current engineering session IDEnsure multi-turn dialogue context only belongs to the current engineering order, avoid cross-session data interference

Three Common Misconfigurations

  • Symptom: Dialogue returns 401 No auth credentials found. Cause: Session permission parameters in variables are not correctly bound, or access keys for the corresponding data source are not configured.
  • Symptom: Production data from different engineering orders appears mixed in multi-turn dialogue. Cause: The chatId is not used to bind the current session's engineering identifier, leading to cross-session context association.
  • Symptom: BLOB objects obtained via HTTP nodes cannot be downloaded in the dialogue window. Cause: The download link field for BLOB is not configured in variables, or the attachment display configuration for dialogue results is not enabled.

How to Verify the Configuration is Correct

  • Initiate a query that includes an engineering order number; confirm the dialogue context only returns production and inspection data corresponding to that order.
  • Test supplementing fields such as pouring location and raw material batch during multi-turn dialogue; confirm parameters bound via variables are correctly passed to the query logic.
  • Trigger an HTTP node to obtain a BLOB file; confirm a clickable download button appears in the dialogue window.
  • Input a vague query such as "incorrect slump"; confirm the dialogue automatically optimizes it into a precise query matching the current batch.

The values provided here are common starting points and should be validated against the specific deployment samples.