What Data for This Category Looks Like
This category’s data comes from daily documents of manufacturing enterprise equipment departments, workshop maintenance teams and public utility departments. These documents include equipment ledgers, spot check sheets, maintenance plans, repair work orders, failure analysis reports, spare parts lists and special equipment inspection records. Data sources cover EAM/CMMS systems, equipment sensor data, operator spot check records, maintenance history, spare parts inventory and statutory inspection information. Update frequencies include shift-based cycles, daily/weekly/monthly cycles and real-time updates when a fault occurs. The data includes structured fields such as equipment numbers, spot check items and spare part codes, semi-structured content such as fault descriptions and maintenance records, and unstructured text such as inspection reports.
Constraints for Forms and Interactions
Data sources for this category are scattered, and update rhythms vary widely. Forms must support field binding and real-time synchronization across multiple data sources. Daily documents contain a large number of standardized fields and custom spot check items. Forms must adapt to mixed scenarios of structured data entry and free text input. Real-time updates when a fault occurs require forms to have fast triggering and verification capabilities, to avoid unplanned downtime risks. Data related to special equipment must strictly match statutory inspection fields. Forms must include built-in fixed verification rules. The association between repair work orders and spare parts lists requires forms to support cross-document field linkage, to reduce manual verification costs.
How to Configure
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
formInput field configuration | Set a maximum input length of 2000 characters per field, mark required fields with an asterisk | Adapt to text input requirements for spot check records and failure analysis, avoid ultra-long content exceeding system storage limits |
userSelect control configuration | Preset no more than 5 standardized options, bind to the "Maintenance Type" field of maintenance work orders | Reduce manual input errors, align with standardized classification habits of maintenance teams |
| Form verification trigger timing | Trigger full verification on submission, perform real-time verification for required fields and numeric type fields | Ensure entered data complies with field specifications of equipment ledgers and EAM systems, avoid invalid data entering the system |
| Context cache duration | 3600 seconds | Adapt to shift-based and daily spot check data entry scenarios, prevent content loss caused by session interruptions |
| Cross-data source linkage configuration | Bind the inventory field of the spare parts list and the spare parts requisition field of maintenance work orders | Automatically verify spare parts inventory surplus, reduce the probability of manual verification errors |
Three Common Mistakes
- Phenomenon: An SSL-related error is returned by the backend after calling the voice input interface. Cause: The external data synchronization interface configured for the form does not have a valid SSL certificate, or the corresponding root certificate is not trusted.
- Phenomenon: The function that allows users to choose whether to skip knowledge base retrieval cannot be implemented. Cause: The binding logic between the options configured for the
userSelectparameter and subsequent processes is not set correctly. - Phenomenon: The result is empty after incrementing the subscript in a loop. Cause: The form's subscript variable is not initialized, or the bound data source field is of text type and cannot perform numeric operations.
How to Confirm the Configuration Is Complete
- Submit a test spot check form, check whether the entered equipment number and spot check items are synchronized to the bound EAM system.
- Trigger the
userSelectcontrol, select the corresponding maintenance type, confirm that the option value is correctly passed to the subsequent knowledge base retrieval or work order generation process. - Intentionally leave a required field empty and submit the form, check whether the corresponding error prompt pops up to confirm that the verification rules are in effect.
- View the backend logs of FastGPT v4.17.0, confirm that there are no SSL-related errors or variable transfer exceptions.
The values provided here are common starting points and should be evaluated against the reader's own samples.