Data Structure for This Category
Data sources for this category include enterprise EAM/CMMS systems, real-time device sensor data, operator inspection checklists, maintenance work orders, spare parts inventory lists, and special equipment inspection records. Data update cycles cover shift-based inspection submissions, daily, weekly, and monthly maintenance plan updates, and instant records when faults occur. Daily documents include equipment ledgers (with equipment number and installation location fields), inspection checklists (inspection items grouped by component), maintenance plans (marked with cycle and execution team), maintenance work orders (recording fault symptoms and processing results), spare parts lists (marked with model and stock quantity), and special equipment inspection records (marked with inspection validity period).
Constraints for Multi-turn Dialogue and Prompt Engineering
Multi-source heterogeneous document structures and high-frequency update cycles require dialogue systems to associate equipment numbers, inspection cycles and other context from historical interactions, and avoid repeated queries of known information. Real-time device sensor data requires dialogue flows to quickly recall the latest status data, without relying on static documents. Exclusive fields across different documents, such as special equipment inspection validity periods and spare part models, require prompts to clearly define call scopes, to prevent confusion between different types of equipment data. Instant data updates when faults occur require multi-turn dialogue to synchronously call the latest maintenance work orders and spare parts inventory information, to ensure response timeliness.
Configuration Settings
All configurations below are based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Context Window Size | 8000–12000 tokens | Adapts to context association across multiple equipment documents, prevents loss of historical interaction information |
| Number of Documents Recalled Per Request | Top 6 | Covers core business information from inspection checklists, maintenance plans, and work orders, controls response redundancy |
| Variable Binding | variables | Binds pre-configured equipment number and inspection component variables, reduces repeated queries |
| Session ID Binding | chatId | Ensures context consistency across multi-turn dialogue, associates historical interaction records |
| Document Chunk Length | 800–1200 characters | Matches the single-text length of inspection checklists and work orders, prevents truncation of critical information |
| Prompt Matching Rule | Call dedicated document libraries by device type | Differentiates document data sources for special equipment and general equipment, improves response accuracy |
| Maximum Response Wait Time | 600 seconds | Adapts to multi-turn interaction rhythms for complex fault troubleshooting, prevents timeout interruptions |
Three Common Misconfigurations
- 500 errors appear when importing equipment ledgers, inspection checklists and other documents. This occurs when documents contain unescaped special characters, overly long single text entries, or format verification was not completed via preprocessing tools.
- Multi-turn dialogue outputs full historical interaction content. This occurs when the
chatIdparameter is not bound, so each request resets the session context and fails to retain the historical identifier for the current conversation. - Long wait time for the first device fault troubleshooting dialogue. This occurs when session context preloading logic is not configured, so the first request loads the full equipment document library and causes delays.
How to Verify Successful Configuration
- Initiate a test dialogue with a known equipment number, confirm the system automatically associates the corresponding equipment's inspection plan and work orders.
- Initiate multi-turn interaction, check that subsequent dialogue carries over component information from the previous round, without repeated queries.
- Import a single equipment document and trigger recall, confirm the returned document count matches the configured number of documents recalled per request.
- Wait for the first dialogue response, then initiate the same type of dialogue again, confirm the response time is significantly shortened.
The values provided are common starting points, and should be evaluated against the user's own samples.