Q&A for Process Specifications and Technical Standards for Medical Device Assembly and Clean Production: Deployment and Upgrade

This category of data covers production process specifications, batch production records, clean zone environmental monitoring records, sterilization

What this category’s data includes

This category of data covers production process specifications, batch production records, clean zone environmental monitoring records, sterilization batch records, inspection reports, software version records, and adverse event traceability materials. Data sources include design history files, device and material batch ledgers, MES systems, clean environment monitoring equipment, sterilization equipment, and inspection and calibration systems. Data updates are performed per product batch or per medical device, with clean environment data updated per established monitoring plans. Document fields include unique device identification, batch number, temperature and humidity parameters, sterilization duration, software version number, and other relevant fields, with corresponding units such as degrees Celsius, Pascals, hours, and additional standard units.

Constraints imposed on deployment and upgrade workflows

This category of data involves controlled production and traceability requirements. During deployment, compliance of data storage and access permission controls must be ensured. Multi-source heterogeneous data from disparate systems demands configuration for multi-data source access. Data updates happen frequently and are tied to batch information, so configure a real-time or near-synchronous incremental update mechanism. Documents contain sensitive compliance content, so set hierarchical access permissions for the knowledge base. Additionally, precise matching requirements for unique identification and batch fields mean retrieval must associate corresponding metadata, which raises higher requirements for retrieval accuracy.

Configuration settings

These configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended ApproachRationale
MONGODB_URIConnection string for a dedicated encrypted instanceThis category of data contains compliance-sensitive content, requiring isolated storage to ensure data security
REDIS_URLCaching instance configured with a 600-second expiration timeSupports fast retrieval of frequently updated clean environment and batch data
STORAGE_S3_ENDPOINTObject storage endpoint compliant with medical data storage regulationsStores large-volume documents such as sterilization records and inspection reports
DB_MAX_LINK100–200 connectionsAdapts to concurrent retrieval demands for multi-batch data and prevents connection exhaustion
FILE_TOKEN_KEYToken key bound to internal identity verificationEnsures access security for uploaded documents such as clean zone records
ROOT_KEYKey generated per permission hierarchyControls knowledge base access permissions to meet controlled production data requirements

Three common configuration errors

  • Phenomenon: Question classification only matches the current input, and does not associate context history records, leading classification results to default to fallback categories. Cause: The context transfer logic for multi-turn conversations is not enabled, and relevant parameters for context-associated retrieval are not configured.
  • Phenomenon: An error occurs when adding the Doc2X plugin after private deployment, preventing document parsing from completing. Cause: Environment variables relied on by the plugin are not correctly configured, or the deployment version is incompatible with the plugin version.
  • Phenomenon: Unable to pull the specified version of the Docker image. Cause: Access permissions for the image repository are restricted, or the image tag name has a spelling error.

How to confirm successful configuration

  • Access the FastGPT admin backend, check the connection status of each data source, and confirm that connection tests for configurations including MONGODB_URI and REDIS_URL pass.
  • Upload a sterilization batch record document, verify that the storage path matches the STORAGE_S3_ENDPOINT configuration, and confirm that the document can be retrieved normally and associated with the corresponding batch’s process specification data.
  • Initiate a multi-turn conversation, input a question containing a batch number and clean zone parameters, and confirm that the retrieval result returns the corresponding batch’s production process content.
  • Test access permissions for non-authorized users, and confirm that sensitive adverse event traceability materials cannot be viewed.

The values provided are common starting points and should be assessed against applicable operational samples.