Document and Material Drafting for Construction Engineering Quality and Safety Supervision: Deployment and Upgrade

Document and Material Drafting for Construction Engineering Quality and Safety Supervision: Deployment and Upgrade

What the data for this category looks like

Core data for this category comes from the engineering quality and safety supervision system, on-site construction personnel identity verification platform, supervision logs, and test reports. The update frequency is weekly. Daily generated documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Document structures center on core fields: project number, responsible entity, inspection time, rectification requirements, and acceptance conclusion. Some documents require linking with on-site identity verification attendance data and test report attachments. The character count per single document varies widely.

What constraints these characteristics impose on deployment and upgrade

Weekly batch data synchronization requires deployments to support scheduled tasks adapted to fixed update rhythms, to avoid occupying system resources during business peak hours. Multi-source data access must be compatible with the interface formats of existing engineering quality and safety supervision systems and on-site construction personnel identity verification platforms. The deployment phase requires pre-configuring multi-data source connection parameters. Field differences across document types require the knowledge base to be managed in modules by document category. Upgrades must retain the original document classification structure to avoid disrupting existing business processes. Attachment linking requirements require deploying sufficient storage capacity and file permissions. Upgrades must be compatible with original attachment storage paths to ensure historical documents remain accessible.

How to set configurations

Configuration ItemRecommended ValueBasis for This Setting
MONGODB_URImongodb://username:password@host:27017/fastgpt?authSource=adminAdapts to structured document storage requirements exported from the housing and urban-rural development quality and safety supervision station’s existing supervision system, supports batch data writing
REDIS_URLredis://:password@host:6379/0Supports caching for weekly data synchronization and scheduled task scheduling, ensures stability of multi-source data access
STORAGE_S3_ENDPOINThttp://minio.example.com:9000Adapts to storage requirements for engineering document attachments, supports upload and reading of large-volume test reports and supervision logs
DB_MAX_LINK20–30Matches concurrent connection counts for weekly batch data synchronization, avoids database connection exhaustion impacting synchronization progress
FE_DOMAINhttps://quality-supervision.example.comBinds a dedicated business domain name, ensures compliance of the access and distribution link after document generation
ROOT_KEYSet based on actual measurementEnsures permission security for system background configuration, only used for initial deployment configuration and upgrade rollback

Three common errors

  • Symptom: Unable to access the document generation page via HTTPS after deployment, with the browser prompting an invalid certificate. Cause: Failed to correctly bind FE_DOMAIN with the SSL certificate, and failed to write the certificate configuration into the deployment file.

Reference only; verify against the target FastGPT release and deployment documentation.

  • Symptom: Unable to access the system background to adjust document classification rules, with a prompt for permission verification failure. Cause: Failed to correctly record ROOT_KEY during deployment, or failed to update the key parameters in the configuration file after the upgrade.

How to verify the configuration is complete

  • Execute the scheduled data synchronization task, check whether documents exported from the engineering quality and safety supervision system have been successfully imported into the knowledge base, and confirm that the imported document fields match the original business format.
  • Access the HTTPS address bound to FE_DOMAIN, confirm that the page loads normally and the certificate verification passes.
  • Log in to the system background using ROOT_KEY, verify that functions such as document classification and data source configuration can be modified and saved normally.
  • Upload a test report attachment, confirm that the attachment can be stored normally and linked to the corresponding document record.

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

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.