This document is compatible with FastGPT v4.17.0. It provides configuration guidance for the deployment and upgrade stages of the process specification and technical standard Q&A scenario for equipment inspection and preventive maintenance in the manufacturing sector.
What this category of data includes
This category covers production asset-related documents from manufacturing enterprise equipment departments, maintenance teams, and public utility departments. Documents include equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history, spare parts inventory information, and statutory inspection documents. Update cycles include shift-based, daily, weekly, monthly intervals, and immediate updates when failures occur. Documents include fixed fields such as equipment number, inspection point, standard parameters, failure phenomenon, and corresponding units.
Constraints for deployment and upgrade
This category has multi-source and heterogeneous data sources. Configure multi-system connection adaptation during deployment. Avoid data synchronization interruptions that reduce Q&A timeliness. High-frequency data updates require matching vector database incremental refresh parameters. Ensure inspection and failure data enters the retrieval scope promptly. Diverse document types require presetting format parsing rules. Adapt to structured fields in equipment ledgers and unstructured text in inspection records. Statutory inspection documents have compliance requirements. Enable data traceability storage during deployment. Retain complete version records. Maintenance work orders have real-time requirements. Adjust real-time retrieval index priority. Avoid non-core data consuming excessive system resources.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Exclusive URI connected to the EAM/CMMS synchronization database, with read-write permission isolation configured | Data of this category must be synchronized from multiple business systems. An exclusive URI avoids permission conflicts |
REDIS_URL | Configured as a locally deployed Redis instance, with a 300 second connection timeout set | High-frequency updated inspection and failure data require caching retrieval results. The timeout adapts to real-time requirements |
FE_DOMAIN | Fill in the enterprise intranet access domain name, and bind the access IP segment of workshop terminals | Restrict access scope, in line with the security requirements of manufacturing enterprise intranet deployment |
DB_MAX_LINK | Set to 20–30 concurrent connections | Match the batch synchronization requirements of multiple documents such as equipment ledgers and maintenance work orders |
FILE_TOKEN_KEY | Generate a 32-bit random key, and set the file access validity period to 7 days | Protect access permissions for sensitive documents such as spare parts lists and inspection records |
STORAGE_S3_ENDPOINT | Fill in the intranet endpoint of the enterprise-built object storage | Store large-volume documents, avoiding public network transmission delays |
Three common configuration errors
- Deployments return the error
{"code":500,"statusText":"","message":"URI malformed"}when accessing the frontend. The connection string forMONGODB_URIorREDIS_URLcontains invalid characters or unescaped special symbols. - Containers start but the frontend page fails to load. The
FE_DOMAINdomain name is not bound to intranet DNS, or the container port mapping does not open the required intranet port. - Retrieval results lag behind actual inspection and maintenance status. Data synchronization tasks do not match the equipment document update cycle. The synchronization cycle does not align with shift-based or daily update frequencies.
Verify successful configuration
Run the database connection test script. Confirm MONGODB_URI and REDIS_URL connections function correctly. Check for no connection timeout or permission denied errors. Upload a sample equipment inspection checklist. Confirm format parsing extracts core fields including inspection points and standard values. Verify document preprocessing configuration is active. View vector database index update logs. Confirm maintenance work orders and failure analysis data from the past 24 hours completed incremental synchronization. Access the intranet-bound FE_DOMAIN. Confirm the Q&A interface loads normally and retrieval requests trigger successfully. Verify frontend deployment configuration is correct.
The values provided here are common starting points, and should be measured against applicable samples.