What the Data for This Category Looks Like
Data for internal office and employee services in coal mine production comes from four sources: underground production monitoring systems, ground safety supervision ledgers, employee attendance systems, and equipment operation and maintenance archives. Production monitoring data updates every 15 minutes. Attendance data updates daily at midnight. Equipment ledgers and operation and maintenance archives update monthly. Data uses structured form format with fixed fields:
- Device number (12-digit pure numbers)
- Inspection duration (unit: hours)
- Hidden danger level (enumerated values: general, major, significant)
- Employee ID (8-digit numbers)
- Inspection point (underground area code)
All fields have clear business definitions and unit constraints.
What Constraints These Characteristics Impose on the Forms and Interactions Link
Underground production monitoring data has real-time requirements. Form loading and submission must not have excessive delays, otherwise the timeliness of inspection processes will be affected. Fixed-format device number and inspection point fields require built-in format validation in forms. This prevents invalid input from entering the system. Enumerated hidden danger level fields require input to be limited to specified options. This prevents non-standard content from disrupting data consistency. Underground networks have fluctuation risks. Form submission must support automatic retries and adapt to input caching in weak network environments. Fixed-length employee ID requirements mean form input modules must limit character counts. This avoids exceeding system storage limits.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Bind structured business fields, enable format validation and required prompts | Adapt to the fixed format requirements of coal mine production data, reduce invalid input |
userSelect | Bind employee ID/name enumeration data sources, enable fuzzy matching | Quickly match internal employee information, avoid manual input errors |
| Form submission timeout | 30 seconds | Adapt to underground network delay fluctuations, avoid submission failure due to temporary network issues |
| Input character length limit | 0–200 characters | Match the conventional length of business content such as inspection descriptions and hidden danger notes, reduce transmission burden |
| Submission retry times | 2 times | Balance submission success rate and system resource consumption in weak network scenarios |
| Enumeration data source update frequency | Every 1 hour | Match the regular update rhythm of employee attendance and equipment ledgers |
Three Common Misconfigurations
- Phenomenon: All judgment branches trigger the ELSE logic after form submission. Cause: The matching logic of judgment rules is not configured correctly. "Equals" and "starts with" rules are set as reverse trigger conditions.
- Phenomenon: The form cannot receive device model or inspection content entered by users. Cause: The user input receiving function of the
formInputmodule is not enabled. Guide prompt copy is not configured. - Phenomenon: Required fields are empty after form submission. Cause: Required validation for form fields is not enabled. Fields are not correctly bound to business data sources.
How to Verify Successful Configuration
- Enter the form editing page of FastGPT v4.17.0. Verify that the
formInputmodule is bound to the corresponding business field, and format validation rules are enabled. - Simulate a weak network delay scenario to submit the form. Confirm that the system automatically triggers the retry mechanism and final submission succeeds.
- Search using employee ID. Verify that the fuzzy matching function of the
userSelectmodule normally returns matching results. - After configuring judgment rules, enter test content that conforms to the rules. Confirm that the IF branch triggers correctly. Enter content that does not conform to the rules to trigger the ELSE branch.
The values provided are common starting points and should be evaluated against the reader's own 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.