What Data Looks Like for This Category
Data for this category primarily comes from PLM/ERP systems, part inspection data, assembly tool collection records, test bench data, MES systems, and customer technical agreements of pump, valve, compressor, reducer, machine tool, and non-standard equipment manufacturers. Daily documents include assembly process cards, multi-level BOMs, torque records (unit N·m), clearance adjustment records (unit mm), commissioning reports, factory inspection certificates, and packing lists. Data update frequency is once per equipment or per order. Single devices have many associated data entries, covering process records across the entire assembly flow and final inspection results.
Constraints Imposed by These Characteristics on Database and Operations Maintenance
Multi-source data access requires databases to support heterogeneous data format compatibility. This prevents write failures caused by field differences from exports of different systems. High-frequency write needs for single-device updates per order require reasonable connection pool upper limits. This avoids concurrency conflicts. Multi-level BOM associated queries require database indexes to cover multi-field association logic. Without this, traceability speed slows down. High-precision fields in process records, such as clearance and coaxiality, need matching data storage precision. This prevents numerical distortion that affects defect analysis results. Full data traceability also requires operations maintenance links to retain complete operation logs. This supports subsequent problem traceability.
Configuration Settings
Configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:27017/equipment_quality?authSource=admin | Adapts to multi-source heterogeneous document storage needs for general mechanical equipment assembly scenarios. Supports nested field queries for multi-level BOMs and process records |
DB_MAX_LINK | 20–30 | Matches high-frequency concurrent write requirements for single-device updates per order. Prevents write failures caused by exhausted connections |
REDIS_URL | redis://:password@host:6379/0 | Used to cache high-frequency query BOM structures and assembly process data. Reduces direct database query pressure |
PG_URL | postgresql://username:password@host:5432/equipment_quality?sslmode=require | Stores structured inspection results and customer feedback data. Supports complex associated queries |
Three Common Misconfigurations
- Phenomenon: Database connection component returns
Access denied for usererror. Cause: MongoDB user permissions are not configured correctly. Read/write permissions for exclusive data such as assembly process cards and multi-level BOMs are not granted. - Phenomenon: Assembly data import workflow hangs when running in batch. The previous step outputs a list format. Cause:
DB_MAX_LINKvalue is too low. Concurrent write requests exceed connection pool capacity, causing blocking. - Phenomenon: AI-generated database query statements cannot correctly associate multi-level BOM fields. Cause: Query templates are not configured for the category's multi-level BOM data structure. Generated statements fail to cover nested association logic.
How to Verify Valid Configuration
- Run an assembly data import test for a single device. Check if data is fully written to the corresponding database collection or table. Confirm connectivity validity of
MONGODB_URIandPG_URL. - Initiate a batch import of simulated data. Observe workflow execution status. Confirm that
DB_MAX_LINKvalue supports concurrent write requirements. - Generate a query request for multi-level BOM. Check if returned results include complete hierarchical association data. Confirm that field mapping configuration is correct.
- View Redis cache access logs. Confirm that high-frequency query assembly process data has been correctly cached. Verify that
REDIS_URLconfiguration is effective.
The values provided are common starting points and should be measured against the reader's own samples.