What the data for this category looks like
Business data sources for precast concrete components include BIM or detailed design files, steel bar and concrete batch records, mold table and curing kiln operation data, laboratory test reports, and QR code traceability information. Daily documents include component detailed drawings, steel bar cutting lists, mold inspection records, pouring and vibration records, curing records, demolding and factory inspection reports.
Data is updated per individual component, per material batch, and per curing kiln batch. Fields include component ID, steel bar specification, embedded part location, strength indicators, batch number, and other relevant fields. Units include millimeters, megapascals, cubic meters, and other common engineering units.
What constraints these characteristics impose on deployment and upgrade
Precast concrete component business data comes from multiple dispersed sources with varying update frequencies. The deployment process must support access to and incremental synchronization of multi-source heterogeneous data.
Engineering documents have large file sizes and special formats. Deployment must reserve sufficient storage and file parsing resources. Component errors can cause on-site installation issues, material scrap, and project delays. Deployment must configure data validation and anomaly alert mechanisms.
For private deployment scenarios, the process must support easy modification of configuration files. It must also be compatible with API calls across different browsers to avoid functional abnormalities after upgrades. Additionally, configuration for multi-port service linkage must match the access rhythm of business data to prevent port access conflicts.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
DB_MAX_LINK | 10–20 connections per second | Precast concrete component data is updated per piece and per batch. The number of connections for single bulk imports must match the data submission frequency to avoid connection pool overflow, and align with the database connection logic of FastGPT v4.17.0 |
MONGODB_URI | Connection string pointing to a dedicated business database for precast components | Must store structured and unstructured data such as detailed drawings and cutting lists. Must align with data sources exported from BIM to ensure complete component information required for quotation preparation |
REDIS_URL | Connection address for the 6379 port in local private deployments | Used to cache frequently queried component parameters and validation rules. Supports fast data calls per piece and per batch, reducing resource consumption from repeated queries |
STORAGE_S3_ENDPOINT | Object storage endpoint adapted for engineering document storage | Used to store large files such as component detailed drawings and curing records. Matches data update frequencies to ensure reliable storage and retrieval of files |
FE_DOMAIN | Public or internal domain name of the deployment server, bound to port 3000 | Used to configure the frontend access address. Resolves access abnormalities where port 3000 pages fail to load while port 3001 works normally in Docker deployments |
FILE_TOKEN_KEY | 32-bit string calibrated through actual testing | Used to verify the legality of component document uploads. Prevents unauthorized file imports from compromising the accuracy of bid documents and quotation preparation |
Three common mistakes
- When accessing the deployment service, the port 3000 page fails to load normally, while the port 3001 service works normally. The cause is that the
FE_DOMAINconfiguration is not correctly bound to the service address of port 3000, leading to abnormal frontend routing pointing. - After upgrading to a new version of FastGPT, knowledge base queries can normally return component-related results, but the model cannot output the final bid document and quotation content. The cause is that the
REDIS_URLconfiguration was not updated synchronously. The cached component validation rules have expired, preventing the model from obtaining structured component parameter data. - When importing a precast component detailed drawing or steel bar cutting list, the system throws an uncaught exception error, and the file cannot be uploaded normally. The cause is that the storage permissions configured for
STORAGE_S3_ENDPOINTare not set correctly. The system cannot read or write engineering document data, leading to file parsing failure.
How to confirm the configuration is correct
- Access port 3000 bound to
FE_DOMAINto verify that the frontend page loads normally, with no prompts for resource loading failures or interface errors. - Import a precast component detailed drawing to verify that the file uploads successfully and the corresponding entry can be retrieved in the knowledge base. Confirm that file storage and parsing functions work normally.
- Modify the configuration value of
DB_MAX_LINKand observe the monitoring indicators of the database connection pool to confirm that the number of connections matches the set range. - Run a bid document generation test to verify that the model can call component parameters from the knowledge base to complete quotation preparation. Confirm that the data call and model output link works normally.
The values provided here are common starting points and should be measured against the reader's own samples.