What data for this category looks like
Data for ready-mixed concrete production comes from batching plant control systems, laboratory testing equipment, project order systems, and raw material inspection ledgers. Data updates follow three cycles: per vehicle production record, per raw material inspection batch, and daily summary. Daily documents include mix proportion notices, opening identification forms, production and transport orders, raw material inspection reports, test block compressive strength records, and slump test sheets. Core fields include raw material batch numbers, aggregate moisture content, mixing duration, pouring location, and test block strength values. Units include kilograms, cubic meters, hours, megapascals, and others.
Constraints imposed by these characteristics on multi-turn dialogue and prompt words
High-frequency, single-item production and raw material data for this category requires multi-turn conversation contexts to be limited to valid data from the last 72 hours. This avoids loading redundant historical records. Multiple specialized document types and exclusive fields require prompt words to clearly specify priority matching for fields from designated documents. Examples include mix proportion notices and test block strength reports. This prevents confusion with general production data. Differences in requirements across business roles require multi-turn conversations to distinguish the current business scenario via pre-configured settings. Scheduling posts focus on transport window coordination. Quality posts focus on test block exception handling. Single production records are linked to multiple related documents. Conversation flows must automatically associate corresponding raw material inspection data via batch numbers. This prevents cross-batch matching errors.
How to configure settings
This document uses FastGPT v4.17.0 for configuration.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind production batch number as the unique identifier | Ensure strong association between conversation context and corresponding production batch, avoid cross-batch confusion |
messages | Retain the last 10 conversations and production record data from the last 72 hours | Match the high-frequency update business rhythm of this category, reduce invalid context occupancy |
variables | Preset three core business variables: mix proportion, slump, and test block strength | Simplify prompt word calls, quickly match specialized fields |
| Single search limit | Top 5 matching documents | Match the feature of few associated documents per single batch for this category, avoid irrelevant results |
| Context timeout | 600 seconds | Cover the conventional time required for laboratory test result feedback and cross-department coordination |
| Prompt template | Fixedly specify document types and field ranges | Ensure generated ledger reports only include specialized data for this category |
Three common mistakes
- Phenomenon: The generated ledger report includes raw material data from non-current production batches. Cause: The production batch number is not bound via
chatId, causing context matching to cross-batch data. - Phenomenon: The configured prompt words do not take effect for generated results. The output includes irrelevant general fields. Cause: The exclusive documents and field ranges for this category are not clearly defined in the prompt words. This causes the model to call general production data logic.
- Phenomenon: Conversation response times out. Cause: No reasonable context timeout is set. Too many expired historical production records are loaded, exceeding system processing thresholds.
How to verify the configuration is correct
- Initiate a conversation targeting a single production batch. Check whether the returned ledger data only includes documents such as raw material inspection and test block strength corresponding to that batch.
- Adjust the conversation context range. Verify that only production records from the last 72 hours are loaded. Expired data will not be included in the context.
- Trigger a prompt word call. Confirm that the generated report only includes the preset specialized fields for this category. No irrelevant general fields will be present.
- Test cross-batch conversations. Verify that the batch number bound via
chatIdwill automatically filter data from non-current batches.
The values provided here are common starting points and should be measured against the reader's own samples.