What this category of data looks like
Data for ready-mixed concrete production comes from engineering orders, sand, gravel, cement, and admixture inspection records, mixing plant control system operation logs, and laboratory test data. Data updates follow per-production batch per truck, per incoming raw material batch, and daily ledger updates. Daily documents include mix proportion notices, opening identification forms, production and transport orders, raw material inspection reports, and test block compressive strength records. Fields cover raw material feeding amount, mixing duration, slump test value, and test block strength grade, with units of kilograms, minutes, millimeters, and megapascals respectively.
What constraints these characteristics impose on forms and interactions
Ready-mixed concrete production has high data update frequency, scattered data sources, and serious business consequences. These factors create multiple constraints for forms and interactions. Production data updated per truck requires forms to support real-time entry and synchronization. This avoids batching errors caused by delayed data. Multiple types of business documents require interactions to switch form fields by scenario. This matches filling requirements for different production stages. Abnormal key parameters can trigger material return, shutdown, and other issues. This means forms need strict validation rules and anomaly prompts. Fixed production parameters for this category should have preset default values. This cuts down on repeated manual data entry work.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Enable structured rendering | Adapt to card-style display of multi-dimensional production and maintenance data |
userSelect | Bind global variable data source | Match dynamic data such as orders and raw material batches updated per truck |
| Form submission validation rules | Enable required field and out-of-range value interception | Avoid missing key parameters such as slump and feeding amount, or values outside reasonable ranges |
| Real-time data synchronization interval | 30 seconds | Adapt to the synchronization requirements of production data updated per truck |
| Block response length | 800–1200 characters | Adapt to long text output for equipment maintenance Q&A, avoid interface lag |
| Variable default value preset | Set based on actual measurement calibration | Match common mix proportions and production parameters of mixing plants, reduce repeated entry |
Three common errors
- Phenomenon: Forms display as plain text in the conversation interface, without structured card presentation. Cause: The structured rendering configuration for
formInputis not enabled. The native form fails to load correctly. - Phenomenon: The
userSelectcomponent cannot load the option list bound to the global variable. Cause: Variable mapping rules are not configured correctly. The global raw material batch or order number variable is not bound to the single-select component's data source. - Phenomenon: No validation prompt triggers after form submission, and empty fields are submitted. Cause: Form submission validation rules are not enabled. Key production parameters that are not filled in are not intercepted.
How to confirm the configuration is correct
- Open the corresponding scenario conversation in FastGPT v4.17.0. Trigger the equipment inspection and maintenance Q&A. Check if the form displays all preset fields in a structured card format.
- Try submitting a form without filling in key parameters such as slump and feeding amount. Confirm the system triggers corresponding validation prompts.
- Call the global variable. Check if the
userSelectcomponent automatically loads the bound raw material batch and order number options. - Simulate entering aggregate moisture content data. Confirm the form links and updates the corresponding batching amount parameters.
The values provided are common starting points and should be measured against the reader's own samples.