What this category of data looks like
Data for coal mine production work consultation and reply primarily comes from coal mine safety supervision management systems, production scheduling logs, post job operation specification libraries, equipment maintenance records, and on-site inspection forms. Data updates per work shift, with new inspection and hidden danger rectification records generated each shift. Monthly summaries compile into monthly safety reports. Most documents take the form of structured forms, with fields including equipment ID, work shift, hidden danger level, rectification deadline, rectification responsible person, and more. Units use standard production-related metrics such as tons, hours, meters, and pieces. Some fields use enumeration options; hidden danger levels, for example, fall into three categories: general, significant, and critical.
Constraints on Forms and Interactions
Structured fields and enumeration options require form interactions to strictly match preset field types. Free text input must be avoided to prevent data formats from failing system validation rules. High-frequency work data updated per shift requires forms to support fast bulk entry. This reduces repetitive operation steps to align with on-site work rhythms. Cross-system data access is needed for associated data from multiple sources. The interaction flow must support retrieving equipment logs, inspection records, and other associated information across systems. This prevents users from re-entering the same data. Enumerated hidden danger level categories require the interaction interface to preset standard options. This stops users from entering non-standard content that causes errors in subsequent statistics and analysis. Offline on-site work scenarios require forms to support local cached entry. Data syncs once network connectivity is restored, ensuring work continuity.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Aligns one-to-one with coal mine work form fields; enumeration fields preset standard options including hidden danger level, work shift, and more | Matches the structured characteristics of coal mine production data, prevents input formats from failing system validation |
userSelect | Presets common options including equipment ID, rectification responsible person, and more; supports fuzzy search | Adapts to fast selection by on-site work personnel, reduces manual input errors |
| Maximum single submission data limit | 50 entries per submission | Adapts to bulk entry needs for per-shift work, reduces the risk of single-submission timeouts |
| Input timeout duration | 30 seconds | Adapts to common network fluctuations in coal mine sites, prevents submission failure from temporary lag |
| Local cache setting | Enabled, cache duration 24 hours | Supports offline work scenarios, matches network conditions in some underground work areas |
| Maximum context length | 8000–12000 token | Adapts to the length of coal mine production documents, avoids exceeding model processing limits |
Three Common Misconfigurations
- Phenomenon: Speech input fails to accurately recognize coal mine-specific terminology, or submissions receive no response. Cause: No custom speech recognition vocabulary is configured for coal mine production terminology. This leads to insufficient recognition accuracy that fails to meet business requirements.
- Phenomenon: Large model replies to consultation content are irrelevant to coal mine production job specifications, hidden danger rectification records, and other knowledge base content. Cause: Knowledge base chunking configuration is not aligned with the document structure of coal mine production. This causes retrieved associated information to fail to cover business scenarios.
- Phenomenon: A 400 status code error returns when submitting a short query. Normal interaction works when switching to another model. Cause: No reasonable minimum input length limit is set for the
formInputconfiguration. This causes request parameters to fail validation rules of the model interface.
How to Verify Successful Configuration
- Access the form configuration interface, confirm all fields align one-to-one with coal mine work form fields, and enumeration options include preset business classification content.
- Simulate an offline work scenario: disable network connectivity, enter a test data entry, confirm data can be cached locally, and submit normally once network connectivity is restored.
- Run a speech input test: enter coal mine production-related specialized terminology, confirm recognition results meet expectations.
- Run a short query test: confirm no abnormal request errors occur, and returned results associate with business knowledge base content.
All values provided are common starting points. Adjustments should be made based on the reader's own specific samples and scenarios.
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.