This document is written for FastGPT v4.17.0.
What Data Looks Like for This Category
Data sources for cement clinker and grinding scenarios include online composition analysis, DCS systems, laboratories, kiln and grinding equipment, raw and fuel ledgers, and energy metering devices. Data update rhythms fall into three categories: real-time, per shift, and daily. Daily documents cover raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy reports. Fields include raw and fuel composition values, kiln temperature operating parameters, inspection frequency, energy consumption metering values, and others, which vary based on business processes.
Constraints Imposed on Forms and Interactions
Dispersed data sources with varying update frequencies require forms to support configurable refresh rhythms based on data source type, to avoid data lag or redundant loading. Numerous specialized document fields with strong business correlation require forms to be split into modules such as raw and fuel, kiln and grinding parameters, and quality control, reducing operational complexity. Data anomalies can cause severe production consequences, so forms must include real-time validation rules to block field values that do not conform to business logic. Tender scenarios require rapid generation of standardized documents, so interactions must support quick filling of historical business data to reduce manual entry workload.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Bind preset business fields such as raw material batching and laboratory reports | Match professional data entry requirements for cement clinker and grinding scenarios |
userSelect | Preset more than 20 common raw fuel and kiln/grinding equipment options | Reduce business errors from manual input |
| Field refresh cycle | Real-time (≤10 seconds), per shift (8 hours), daily (24 hours) | Correspond to update frequencies of different data sources |
| Data source binding rules | Associate online composition analysis, DCS, and laboratory data interfaces | Enable automatic synchronization of business data |
| Validation trigger timing | After field editing is complete, before form submission | Block field values that do not conform to business logic in advance |
| Multi-module step-by-step loading | Load in chunks with each module ≤500 MB | Optimize page loading performance |
Three Common Misconfigurations
- Phenomenon: A "core fields not filled" error appears when submitting a tender form. Cause: No binding rule is configured between
formInputand the corresponding data source, so raw material batching and laboratory data fail to synchronize automatically. - Phenomenon: When selecting a component during workflow calls, only general business options are displayed, without options related to cement clinker categories. Cause: The business classification library for this segmented scenario has not been imported, so the selectable range does not match business requirements.
- Phenomenon: Form loading takes too long. Cause: Multi-module step-by-step loading configuration is not enabled, loading all kiln, grinding, and energy data at once causes excessive resource usage.
How to Verify Successful Configuration
- Open the form editing page, check if the
formInputcomponent is bound to preset business fields such as raw material batching and laboratory reports. - Test the
userSelectcomponent to confirm that it includes raw fuel and equipment options related to cement clinker production. - Simulate field editing to check if validation rules trigger after editing is complete.
- View the page loading status to confirm that the multi-module step-by-step loading configuration is active, with no obvious lag during page loading.
The values provided are common starting points and should be measured against the reader's own samples.