What the data for this category looks like
Typical subjects are EHS departments and production inspection and maintenance teams of manufacturing enterprises including chemical, metallurgical, machinery, and light industry sectors. Daily documents cover risk identification records, work permits for hot work, confined space operations, lifting operations and other types, monitoring records, hazardous waste ledgers, emission monitoring data, and accident and hidden danger rectification reports. Data sources include regulatory standards, online environmental monitoring equipment, gas detectors, personnel qualification files, equipment isolation lists, and regulatory platforms. Update frequencies are triggered per operation, real-time or per monitoring requirements, or updated during regular inspections. Fields include operation type, risk level, personnel qualification number, monitoring value, isolation status, and other items. Some fields have dedicated units.
Constraints for Forms and Interactions
Data sources for this category are scattered, covering multiple system types including equipment, personnel, and regulatory platforms. This requires form interactions to support associated calls of multi-source data. High update frequency and strict real-time requirements mean forms must support immediate synchronous updates of monitoring and operation data. Multiple field types with dedicated units require forms to support field validation and unit adaptation. Severe consequences of operational errors mean forms must include mandatory required fields and pre-submission validation. Coverage of the entire production process across working procedures means forms must support modular calls to adapt to multi-module summarization needs for bid documents.
Configuration Setup
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Configured in modules as work permit module, qualification verification module, emission data module | Matches the multi-module structure of category documents, facilitating module-based content calls during bidding |
userSelect | Limit optional scope to operation type, personnel qualification, monitoring indicators | Corresponds to fixed business fields of the category, reducing input errors |
| Single search limit | Top 10 entries | Matches the upper limit of operation records that need to be summarized in bid documents |
| Timeout threshold | 300 seconds | Adapts to delay situations during multi-source data retrieval |
| Sorting | Sort by operation risk level | Facilitates prioritized display of high-risk control content during bidding |
| Maximum context length | 8000–12000 characters | Adapts to the document length requirements of a single bid document |
Three Common Misconfigurations
- Symptom: The
formInputmodule only displays voice input buttons, and content cannot be entered when the browser does not support voice input. Cause: No fallback interaction for voice input is configured, and only voice input permissions are enabled. - Symptom: After an upgrade, knowledge base retrieval time increases significantly, and return delay occurs for retrieval results under the same configuration. Cause: The retrieval scope of
userSelectis not limited, resulting in full knowledge base retrieval. - Symptom: After selecting the knowledge base corresponding to the operation type, no available reference variable options are displayed. Cause: No data source fields such as category-specific work permits and personnel qualifications are bound.
How to Verify a Successful Configuration
- Test the voice input failure scenario, confirm automatic switching to the text input box.
- Limit the retrieval scope to the category-specific knowledge base, verify that retrieval time meets expectations.
- After selecting the operation type, confirm that fields such as work permits and qualification verification can be referenced as variables.
- Configure single-submission mode, confirm that no subsequent input prompts pop up.
The values provided are common starting points and should be evaluated against the reader's own samples.