What the data for this category looks like
Steel smelting internal office data mainly comes from production logs, equipment inspection records, energy consumption reports, and employee attendance and scheduling systems. Production logs are generated per smelting batch. Equipment inspection data is updated once per shift. Energy consumption reports are aggregated daily. Employee attendance data is updated per natural day. Documents primarily use structured fields, including core production fields such as furnace temperature, steel output, and inspection cycle, as well as employee service fields such as employee ID, job title, and make-up leave application. Fields include dedicated units such as ℃, ton, and hour.
What constraints these characteristics impose on forms and interactions
Real-time production data needs mean forms must support real-time field value retrieval to avoid manual input errors and delays. Structured field unit rules require forms to pre-set unit options to prevent non-standard numerical and unit combinations. Clear job grouping rules require form user selection components to bind to preset jobs, avoiding invalid cross-job submissions. Multiple data source update cycles mean form auto-fill functions must match corresponding data update rhythms to ensure retrieved content is timely. Personalized employee service form needs mean fields must have exclusive configurations for production and logistics roles, avoiding interference from redundant fields.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Enable number + unit binding validation, limit furnace temperature range 0-2000℃, steel output range 0-500 tons | Match the numerical and unit specifications for core production fields in steel smelting |
userSelect | Preset job groups: Steelmaking Workshop, Rolling Mill, Logistics Post | Adapt to job filtering needs for employee services, reduce invalid inputs |
| Form auto-fill | Bind the past 24 hours of equipment inspection logs | Based on the shift-based update rhythm of inspection data, reduce manual entry costs |
| Submission timeout threshold | 15 seconds | Match the response duration of on-site networks and real-time data retrieval |
| Required field configuration | Furnace temperature, steel output, employee ID | Correspond to the core field requirements of structured logs, ensure data integrity |
| Bulk submission limit | Calibrated based on actual testing | Adapt to the submission scale of single-batch production data, avoid interface overload |
Three Common Misconfigurations
- Phenomenon: Clicking the form copy button pops up a manual selection window, and the generated Markdown has no line breaks. Cause: Auto-line break configuration for form content is not enabled, resulting in missing necessary line breaks in exported Markdown formatting.
- Phenomenon: After passing the
anyparameter into the text content extraction module, the response shows the code block as undefined. Cause: No structured data fields for steel smelting are bound as the extraction data source, resulting in the parameter being unable to match valid content. - Phenomenon: When entering "share" to trigger a tool call, the actual transmitted content becomes "fenjiao". Cause: No input method association interception configuration is enabled for form inputs, resulting in accidental replacement of pinyin during input.
How to Confirm the Configuration is Correct
- Fill in the furnace temperature field, enter a non-numerical value or a value outside the preset range, and verify whether a format validation prompt is triggered.
- Select the job filtering option, confirm that the drop-down menu only includes the three preset groups: Steelmaking Workshop, Rolling Mill, and Logistics Post.
- Click the form copy button, verify that the exported Markdown content has correct line break separations.
- Trigger the text content extraction operation, pass the
anyparameter, and verify that the response does not include an undefined code block prompt.
All provided configuration values are common starting points, and should be evaluated against your own specific samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.