What Data for This Category Looks Like
The core data for this category comes from CAD/CAM software, order BOMs, sheet metal inventory ledgers, laser cutting machine and bending machine device logs, and workshop MES systems. Daily produced documents include 3D part unfolding drawings, CNC cutting programs, bending process cards, nesting planning drawings, first-piece inspection records, and process transfer cards. Each field includes sheet metal material, thickness, unfolding dimensions, bending compensation values, nesting utilization rates, equipment processing parameters, and more. Common units are millimeters, kilograms, and square meters. Data updates are synchronized with each order, daily inventory changes, and each process changeover.
What Constraints Do These Characteristics Impose During Deployment and Upgrade?
Data sources for this category are scattered and have diverse formats. During deployment, the system must support multiple formats including engineering files exported from CAD/CAM, process data from MES systems, and structured sheet metal inventory ledgers. Cross-system data docking rules must be configured in advance. Data update frequency shifts frequently with orders and process changeovers. After deployment, the system must support near-real-time data synchronization to prevent quotation documents from using outdated sheet metal inventory or process parameters. Multiple types of business documents require the deployment to adapt to different parsing rules, ensuring accurate extraction of core fields such as unfolding dimensions and bending compensation values.
Configuration Settings
The following configuration items are adapted for FastGPT v4.17.0, with specific settings as follows:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 10–15 connections/second | This category has a large number of cutting and bending process data associated with a single order. The database connection pool must be configured to stably handle high-frequency data requests. |
MONGODB_URI | mongodb://[username]:[password]@[host address]:27017/fastgpt?authSource=admin | Business documents for this category (such as unfolding drawings, nesting plans) must be stored in binary format. MongoDB meets the storage requirements for unstructured data. |
REDIS_URL | redis://:[password]@[host address]:6379/0 | High-frequency queried sheet metal inventory and bending coefficient data must be cached to reduce repeated calculation overhead. |
FE_DOMAIN | Fill in the actual deployed frontend access address | Ensure normal preview and sharing links for generated bid documents. |
FILE_TOKEN_KEY | Random string calibrated via actual testing | Encrypt access tokens for business documents to prevent unauthorized downloads. |
Three Common Misconfigurations
- Phenomenon: Unfolded dimensions in generated bid documents deviate excessively from actual processing dimensions. Cause: No field mapping rule for bending compensation values is configured. Original dimensions exported from CAD are used directly, without adjusting compensation parameters based on sheet metal thickness.
- Phenomenon: Vector files of nesting plans cannot be parsed within the container, with an error message indicating missing dependent libraries. Cause: Dependent packages for corresponding CAD format parsing are not pre-installed when building the container image. Ordinary user permissions cannot install system-level dependencies.
- Phenomenon: Database connection timeout errors occur when generating quotations in batches. Cause: The
DB_MAX_LINKconfiguration value is too low to handle parallel data requests from multiple orders.
How to Verify Proper Configuration
- Run a single-order bid document generation test, and verify that fields such as unfolded dimensions and bending compensation values match the original data exported from CAD.
- View system logs to confirm that cross-system data synchronization tasks have no frequent errors, and that the active connection count of the database connection pool does not reach the configured upper limit.
- Try uploading business documents in different formats (such as DXF unfolding drawings, PDF process cards) to confirm that the system can parse them normally and extract core fields.
- Access the frontend deployment address to confirm that generated bid documents can be previewed and downloaded normally, with no link jump exceptions.
The values provided are common starting points and should be measured against the reader's own samples.