What This Category's Data Looks Like
Forging and die forging production ledgers cover multiple types of business documents and collected data. Daily documents include forging process specifications, cutting material cards, heating furnace records, forging process cards, mold life records, heat treatment work orders, and ultrasonic testing reports. Data sources include raw material quality certificates, heating furnace systems, press collected data, MES systems, non-destructive testing instruments, and customer forging drawings. The data update frequency is per forging, per batch of forgings, or per furnace charge. Fields include forging batch number, furnace heat number, heating temperature, holding time, pressure parameters, mold number, testing defect type, life cycle count, and more. Units include degrees Celsius, hours, megapascals, and more.
Constraints Imposed on the "Database and Operations" Link
Forging and die forging ledger data has high update frequency and scattered sources, requiring the database to support high-concurrency batch writing and multi-source industrial system integration. Multiple types of business documents and structured parameters coexist, so storage must distinguish between unstructured ultrasonic testing reports, forging process cards, and structured data associated with forging batch numbers and furnace heat numbers. The strong correlation between forging batch numbers and furnace heat numbers requires the database to support multi-table join queries, reducing manual verification time and error rates. Data anomalies can directly lead to forging scrap or service fracture of critical load-bearing components, so strict data verification and regular backup mechanisms are required to ensure data consistency and recoverability.
Configuration Settings
This document is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Database connection pool size | 10–15 | Adapt to the concurrency requirements of per-furnace batch data writing, avoid connection exhaustion |
| MongoDB connection address | mongodb://[account]:[password]@[host address]:27017/forging_ledger?authSource=admin | Store unstructured documents such as ultrasonic testing reports, forging process cards, and support batch retrieval scenarios |
| PostgreSQL connection address | postgresql://[account]:[password]@[host address]:5432/forging_tech?sslmode=require | Store structured associated data such as forging batch numbers, furnace heat numbers, heating parameters, support multi-table join queries |
| Redis cache address | redis://:[password]@[host address]:6379/0 | Cache frequently accessed mold life statistics, process specification data, reduce repeated database query overhead |
| Database backup cycle | 0:00 daily | Ensure recoverability of forging batch data, avoid batch scrap risks |
| Data verification switch | Enabled | Ensure consistent association between forging batch numbers and furnace heat numbers, reduce manual verification steps |
Three Common Configuration Mistakes
- A "database connection timeout" error is displayed in the interface, with
ETIMEDOUTreturned in the logs. Cause: The connection pool size was not adjusted according to the per-furnace batch writing requirements, leading to connection exhaustion and inability to create new connections. - Some fields return empty when retrieving specified forging ledger data. Cause: Multi-source data such as raw material quality certificates and heating furnace records were not stored in an associated manner, leading to missing fields for batch and furnace heat number associations.
- Unable to call the SQL Server database to perform query operations. Cause: The driver adaptation for the corresponding database was not configured, and only connection parameters for MongoDB and PostgreSQL were enabled.
How to Verify Proper Configuration
- Execute batch writing of 10 simulated forging batch data, check the database connection pool monitoring metrics, and confirm that the number of connections does not exceed the configured connection pool upper limit.
- Retrieve associated data for a specified furnace heat number, confirm that multi-source data such as ultrasonic testing reports and heating furnace records can be returned normally in association.
- Call the SQL Server database query interface, confirm that structured data retrieval operations can be performed normally.
- Check the cache server hit statistics, confirm that frequently accessed mold life data has been cached normally.
The values provided are common starting points and should be measured against the reader's own samples.