What This Category’s Data Looks Like
This category of data covers documents including equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis reports, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history archives, spare parts inventory data, and statutory inspection information. Update cycles cover shifts, daily, weekly, monthly intervals, and unplanned fault scenarios. Fields include equipment numbers, inspection points, parameter thresholds, maintenance cycles, spare part models, and standard units such as millimeters, hours, and counts.
Constraints on Citation Sources and Traceability
Multi-source heterogeneous data sources require traceability systems to distinguish association logic between static documents and real-time sensor data. This prevents confusion between offline inspection records and online monitoring parameters. Diverse document types and differentiated fields require dedicated metadata extraction rules for documents such as inspection checklists and work orders. This ensures traceability information matches the corresponding document’s structure. High-frequency update cycles require traceability processes to automatically associate the latest version of document data. This avoids referencing expired maintenance plans or inspection records. Severe consequences such as unplanned downtime require traceability results to accurately bind to original data entries. Fuzzy matching logic cannot be relied on.
How to Configure Settings
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the single-content length of documents such as inspection checklists and work orders, and avoids truncating key parameters |
| Overlap Length | 100–150 characters | Covers cross-chunk association information of inspection points, and prevents loss of context during traceability |
| Single Search Limit | Top 5–7 results | Matches the number of common data sources in equipment management scenarios, and balances recall accuracy and response speed |
quoteMaxToken | 3000–4000 token | Reserves sufficient traceability text length to support complete citations for complex failure analysis |
responseData | Enabled | Directly binds document metadata and content fragments, ensuring complete traceability information |
detail | Enabled | Displays document source paths and version information, which meets compliance requirements for equipment management |
Three Common Configuration Mistakes
- Phenomenon: Returned traceability information only displays the knowledge base category name. It does not bind specific document names or content fragment positions. Cause: Metadata extraction rules for documents are not configured. Exclusive identification fields such as equipment numbers and document versions are not associated.
- Phenomenon: Knowledge base filter variables passed when calling a workflow do not take effect. Irrelevant equipment document data is returned. Cause: Variables are not correctly bound to the data source configuration items of the knowledge base search node. The legality and format of variables are not verified.
- Phenomenon: Expired inspection checklist or maintenance plan data appears in traceability results. The latest version is not updated. Cause: Version verification logic for data sources is not configured. Old document records that exceed the update cycle are not automatically filtered.
How to Verify Configurations Are Correct
- Submit test questions that include specific equipment numbers or inspection points. Check whether the returned results display the corresponding document names and fragment contents.
- View the configuration panel of workflow nodes. Confirm that knowledge base filter variables are correctly bound to the configuration items of the search scope.
- Simulate an unplanned fault scenario. Submit questions that include real-time sensor data keywords. Check whether traceability information is associated with the latest work orders or inspection records.
- Check system logs. Confirm that no timeout, empty field, or parameter error messages appear in traceability requests.
The values provided here are common starting points. They should be assessed against samples specific to the target deployment.