Equipment Inspection and Maintenance Q&A for Mold Design and Manufacturing: Deployment and Upgrade

This category's data primarily comes from customer product models, mold flow or forming simulations, CAD/CAM files, machining and measurement data

What the Data for This Category Looks Like

This category's data primarily comes from customer product models, mold flow or forming simulations, CAD/CAM files, machining and measurement data, and trial mold samples. Daily documents include mold design task sheets, DFM reports, part drawings, machining process cards, trial mold reports, mold modification notices, and mold history records. Data updates per project, each trial mold, or each mold modification. Individual documents contain fields such as mold number, part tolerances, trial mold defect descriptions, and mold modification parameters. Common units used in tooling machining and inspection include millimeters, megapascals, and seconds. Data volume fluctuates with the complexity and quantity of individual projects. Core data links information across the design, manufacturing, and trial mold stages of the full mold lifecycle.

Constraints During Deployment and Upgrade

Data sources for this category cover unstructured and structured files in multiple formats, including CAD models, simulation reports, and process cards. Update frequency shifts dynamically with trial molds and mold modifications. Core fields contain specialized industrial machining parameters. Multi-format file storage and parsing must be adapted to during deployment to avoid loss of mold design and trial mold data due to format incompatibility. Existing mold history records and mold modification logs must have continuity maintained during upgrades, to avoid interrupting data synchronization links due to version updates. Additionally, because data is linked to the full mold lifecycle, stable database and cache connections must be configured during deployment to avoid interrupting context calls for equipment inspection and maintenance Q&A due to connection failures.

Configuration Settings

This configuration is based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
DB_MAX_LINK10–15 connectionsThis category's data updates frequently with project iterations. A stable database connection pool must be maintained to avoid Q&A call timeouts due to insufficient connection counts
REDIS_URLLocal default port 6379 configurationUsed to cache frequently accessed document fragments such as mold history records and trial mold reports, reducing database load and adapting to dynamically updated data rhythms
STORAGE_S3_ENDPOINTConfigure according to the actual address of the local object storage serviceLarge files such as CAD models and mold flow simulation reports must be stored, adapting to large file upload and reading requirements in industrial scenarios
FILE_TOKEN_KEY32-bit random stringUsed to generate file access tokens, ensuring access security for mold design documents and preventing unauthorized access to sensitive machining parameters
PG_URLConfigure based on actual measurementsUsed to store structured data such as equipment inspection records and maintenance work orders, adapting to read and write requests from parallel multiple projects

Three Common Mistakes

  • Phenomenon: The "Database connection failed" error pops up when creating a new application. Cause: MONGODB_URI or PG_URL is not configured correctly, and database connection requirements for parallel multiple projects are not met.
  • Phenomenon: Equipment inspection Q&A fails to load large document content such as trial mold reports and CAD models. Cause: STORAGE_S3_ENDPOINT is not configured, or file storage permissions are insufficient, resulting in inability to read industrial-specific documents.
  • Phenomenon: Remote model calls fail during cross-machine deployment. Cause: FE_DOMAIN is not correctly configured to the public network IP or domain name of the deployment machine, resulting in cross-domain requests being blocked.

How to Confirm Configurations Are Correct

  • Log in to the FastGPT backend, view the database connection status panel, and confirm that the connection number configuration meets the concurrency requirements of the current project.
  • Upload a CAD drawing or mold flow simulation report file related to mold design, and verify that the file can be stored and indexed normally.
  • Initiate an equipment inspection query linked to mold history records, and verify that the context can normally load corresponding trial mold reports and mold modification notice content.
  • Configure a cross-machine model access link, and verify that Q&A can normally call the remote model and return valid results.

The values given are common starting points and should be measured against the reader's own samples.