What Data Looks Like for This Category
Data for this category comes from product drawings and 3D models, CAPP/CAM systems, machine tool collection terminals, tool management systems, MES systems, and measurement and inspection tool data. Daily associated documents include process routes, operation cards, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measuring tool calibration records. Data updates are triggered by each work order, each workpiece, sampling batch, or tool change. Fields include workpiece identification, operation number, cutting parameters, tool life, inspection dimensional deviation, machine tool operating status, and more. Units match the corresponding collection items or document specifications.
What Constraints These Characteristics Impose on the Database and Operations Maintenance Link
Multi-source data access creates storage compatibility constraints. The system must support mixed storage of time-series machine tool data, structured inspection records, unstructured CNC programs, and other data types. High-frequency updates trigger write pressure. Real-time updates for each work order and tool change require the database to have low-latency write capabilities. There is high demand for multi-type document associated queries. Reasonable indexes must be configured for key fields such as workpiece ID, operation number, and tool identification. Data anomalies directly lead to workpiece scrap or machine tool shutdown. The operations maintenance link must ensure data consistency and backup mechanisms to avoid write loss or incorrect overwrites. Concurrent query load balancing must also be supported for batch work order processing scenarios.
How to Set Configurations
These configurations are written based on FastGPT v4.17.0:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PG_URL | postgresql://metalcut_user:secure_pass@db-host:5432/metalcut_trace?sslmode=require | Stores structured operation data, inspection records, and other data. Uses PostgreSQL to ensure transaction consistency |
MONGODB_URI | mongodb://metalcut_user:secure_pass@mongodb-host:27017/metalcut_docs?authSource=admin | Stores unstructured CNC programs, process documents, and other data. Supports flexible document structures |
DB_MAX_LINK | 20–30 | Matches the number of concurrent work orders in metal cutting machining scenarios, prevents connection exhaustion |
REDIS_URL | redis://:secure_pass@redis-host:6379/0 | Caches frequently queried workpiece associated data to reduce database load |
| Database Index Configuration | Create joint indexes based on workpiece ID, operation number, and tool number | Adapts to multi-dimensional associated query requirements during quality traceability |
Three Common Configuration Mistakes
- Phenomenon: The database connection component returns an
Access denied for usererror. Cause: The account password permissions inPG_URLorMONGODB_URIare not configured correctly, or the database has not opened the IP access whitelist for the corresponding deployment node. - Phenomenon: The multi-round question optimization function responds with a timeout, and batch work order processing is unresponsive. Cause: The connection pool is exhausted due to unreasonable
DB_MAX_LINKsettings, or joint indexes are not created for workpiece ID and operation number, leading to full table scans that increase query time. - Phenomenon: The database query statement generated by AI returns empty results or field mismatches. Cause: Fields unique to metal cutting machining (such as tool life, cutting parameters) are not included in FastGPT's knowledge base mapping, causing the generated statement to not associate correct data table fields.
How to Confirm the Configuration Is Complete
- Run a database connection test to verify that the account permissions configured in
PG_URLandMONGODB_URIare normal, with no connection rejection errors. - Submit a simulated work order data entry, check whether the data can be written to the corresponding database table or collection according to the update frequency, with no write failure system logs.
- Initiate a quality traceability query, verify that multi-source data such as operations, tools, and inspection records corresponding to the workpiece ID can be associated, and the number of results matches the expected range.
- Simulate high-concurrency batch work order queries, check the database connection pool usage, and no connection exhaustion warning messages appear.
The values provided are common starting points and should be measured against the reader's own samples.