What Data for This Category Looks Like
The data for this category originates from raw material quality certificates, heating furnace systems, press collection data, MES systems, non-destructive testing instruments, and customer forging drawings. Daily production-related documents include forging process specifications, cutting cards, heating furnace logs, forging process records, mold life records, heat treatment work orders, and ultrasonic testing reports. Data updates occur per forging piece, batch, or furnace heat. Data fields include forging number, forging ratio, heating temperature range, mold wear amount, non-destructive testing defect type, and others. Units include degrees Celsius, millimeters, tons, and additional standard units.
Constraints on Deployment and Upgrade
Multi-source heterogeneous data sources require adapting to interface protocols of different equipment systems during deployment. The upgrade phase must maintain compatibility with legacy collection protocols to ensure historical data remains readable. The high-frequency update rhythm per furnace heat or batch requires configuring an incremental synchronization mechanism during deployment to prevent full data overload. During upgrade, synchronization tasks must not interrupt production-related data flow. Storage and parsing of multiple professional document types require presetting parsing templates for corresponding documents during deployment. During upgrade, the system must be compatible with newly added professional fields. Accurate mapping of professional parameters requires supporting custom knowledge base field rules during deployment. During upgrade, historical fields must be retained to maintain compatibility with legacy production data.
How to Configure Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–20 connections | Adapt to concurrent access demands of multiple device data sources, avoid exhausting database connections |
MONGODB_URI | Point to the MongoDB instance address storing forging batch and mold records | Match the massive structured testing and process data stored per furnace heat or batch for this category |
REDIS_URL | Configure as the local cache service address, set cache expiration time to 3600 seconds | Cache frequently queried heating temperature and forging process parameters to reduce database pressure |
STORAGE_S3_ENDPOINT | Connect to the enterprise internal object storage service address | Store large documents such as ultrasonic testing reports and heat treatment work orders |
ROOT_KEY | Generate an exclusive key according to enterprise internal permission rules | Ensure the access permission of the knowledge base and the security of production data for this category |
Three Common Misconfigurations
- Attempting to copy container files directly from a Sealos environment to complete a full FastGPT backup results in a database configuration incompatibility error. This occurs because backups are not completed using FastGPT’s built-in database export tool. Directly copying container files loses the mapping relationship between configurations and data.
- After local deployment, conversation response times exceed 40 seconds, and the interface displays a 504 status code. This occurs because the
DB_MAX_LINKparameter is not optimized for the multi-data source connection requirements of this category. Insufficient concurrent connections causes database query blocking. - Attempting offline deployment fails to load professional document parsing templates, and cannot extract forging-specific fields normally. This occurs because parsing rule packages for category-specific documents such as forging process specifications and ultrasonic testing reports are not uploaded to the deployment node in advance. The knowledge base cannot recognize professional data structures.
How to Verify Proper Configuration
- Run FastGPT’s built-in database connection test tool to verify the connectivity of
MONGODB_URIandREDIS_URL, and confirm there are no connection timeout errors. - Upload an ultrasonic testing report document to verify whether the knowledge base can correctly extract specific fields such as forging number and defect type, and confirm that the parsing template is active.
- Initiate a query targeting heating furnace logs to confirm that the response time meets the preset performance threshold, with no obvious blocking.
- Check the
ROOT_KEYconfiguration to confirm that only authorized access nodes can call the knowledge base interface, ensuring production data security.
The values provided are common starting points and should be measured against the reader's own samples.