What this category of data looks like
Data sources for precast concrete components include BIM or detailed design files, reinforcement bar and concrete batch records, mold table and curing kiln operation data, laboratory test reports, and QR code traceability information. Data update frequency is per component, per batch, or per kiln. Corresponding documents include component detailed drawings, reinforcement bar cutting lists, mold inspection records, pouring and vibration records, curing records, and demolding factory inspection reports. Data fields include component ID, strength grade, reinforcement bar specification, embedded position coordinates, curing duration, demolding strength, and more. Units include MPa, mm, cubic meters, and others.
What constraints these characteristics impose on the "forms and interactions" link
Data is updated per component, batch, or kiln. This requires forms to support associating multi-dimensional data by batch to avoid mixing cross-batch data. Mixed structured and unstructured business documents require interactions that support uploading multiple documents and automatic field mapping. The business requirement that each component corresponds one-to-one with on-site lifting positions requires forms to support precise position field input and validation. The serious consequences of errors require forms to be configured with mandatory validation rules to block parameter inputs that do not meet production requirements. Unlike ready-mixed concrete delivered as a fluid material by the truckload, precast components need to precisely match on-site lifting positions. This means forms must support precise entry of position fields.
How to set the configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
formInput | Bind the component list CSV file exported from BIM | Automatically fill basic parameters for bulk components, compatible with FastGPT v4.17.0 form binding functionality |
userSelect | Preset options for component type, strength grade, and mold number | Match existing factory production classifications, reduce manual input errors |
| Maximum context per single call | 8000–12000 token | Cover complete documents and data for a single batch of components |
| Number of single recall results | Top 3 | Focus on core component data, avoid interference from redundant information |
| Form validation rules | Set valid numerical ranges for concrete strength and reinforcement bar diameter | Comply with quality requirements for precast component production |
| Timeout threshold | 600 seconds | Adapt to time requirements for multi-document parsing |
Three common errors
- Phenomenon: A "field format mismatch" error appears after form submission, with a returned status code of 400. Cause: Validation rules are not configured according to the field units of precast components, causing values for reinforcement bar specifications and strength grades to fail correct identification.
- Phenomenon: Recalled background data includes component information not from this bidding, and the number of results exceeds expectations. Cause: Classification filtering is not configured via
userSelect, causing component data from other batches to be mixed into the call. - Phenomenon: A single conversation cannot complete quotation preparation for multiple batches of components, requiring repeated interaction triggers. Cause: Bulk data binding for
formInputis not configured, causing each call to only process a single component entry.
How to confirm the configuration is complete
- Upload a component list CSV file exported from BIM, check whether the form automatically fills the corresponding fields.
- Select a preset component type option, confirm whether only business data for that type loads after submission.
- Trigger a quotation preparation process, check whether the returned background data matches the preset number of recalled entries.
- Input a strength grade value outside the reasonable range, confirm whether the form validation error is triggered.
The values provided here are common starting points and should be evaluated against the reader's own samples.