Q&A for Process Specifications and Technical Standards in Photovoltaic Wafer Manufacturing: Deployment and Upgrade

Crystalline silicon wafer manufacturing business data covers multi-source heterogeneous types. Daily documents include process cards, diffusion and

What the data for this category looks like

Crystalline silicon wafer manufacturing business data covers multi-source heterogeneous types. Daily documents include process cards, diffusion and coating parameter tables, printing and sintering records, EL inspection images, IV grading data, and yield reports. Data sources include silicon wafer incoming material ledgers, production MES systems, real-time collected data from diffusion furnaces, coating equipment, and printing presses, test results from EL and IV testing equipment, and laboratory analysis records. Data updates follow a set rhythm. Create records for each batch of incoming silicon wafers. Upload real-time test results for each individual wafer. Summarize full workshop production data daily. Fields include specific production parameters such as diffusion sheet resistance, coating thickness, printing line width, and electrical performance grading identifiers.

What constraints do these characteristics impose on deployment and upgrade?

Multi-source heterogeneous and frequently updated data requires that the deployment phase adapts to the connection logic of multiple data types. This avoids data synchronization conflicts. Layered data structures at the wafer and batch levels require that retrieval configurations accurately match the hierarchy of production processes. This prevents cross-batch data confusion. Unstructured files such as EL inspection images and yield reports require that the upgrade phase supports index formats for multimodal data. This avoids failure to retrieve historical documents. Data synchronization during production hours must avoid core processing windows. Deployment and upgrade operations must be scheduled during non-production hours. This prevents disruption to normal production.

How to set the configurations

Configuration ItemRecommended SettingRationale
DB_MAX_LINK100–150 concurrent connectionsAdapts to the multi-source concurrent synchronization requirements of MES and testing equipment in photovoltaic production scenarios, avoiding database connection overflow
MONGODB_URImongodb://pv_admin:secure_pass@mongodb-host:27017/pv_tech_dbStores exclusive structured data such as process parameters and inspection records, isolating database resources from other businesses
REDIS_URLredis://:pv_auth@redis-host:6379/1Caches real-time test results and Q&A session contexts to support low-latency responses for high-frequency retrieval
FE_DOMAINhttps://pv-tech-qa.your-company.comBinds an exclusive front-end domain to distinguish the photovoltaic process Q&A service from other business systems
STORAGE_S3_ENDPOINThttp://s3-cn-south-1.example.comStores unstructured files such as EL inspection images and yield reports, adapting to the enterprise's existing object storage service configuration
ROOT_KEY32-bit random string generated via actual testingConfigures super administrator permissions for managing the knowledge base and tool chain exclusive to this scenario

Three common mistakes

  • Issue: A database connection timeout error occurs after upgrading FastGPT v4.17.0 using docker compose pull. Cause: The DB_MAX_LINK parameter was not adjusted to adapt to the concurrent synchronization requirements of photovoltaic production data. The default connection count after upgrade cannot support simultaneous data uploads from multiple devices.
  • Issue: Only the login page is displayed in the front-end interface, with no registration entry. Cause: The ROOT_KEY was not configured to generate a super administrator account, or the initial registration switch was not enabled, resulting in no permission to create regular business accounts.
  • Issue: The code running tool cannot be selected during tool calls, and the connection area is missing. Cause: The scenario-specific tool configuration was not reloaded after upgrade, or the image version is incompatible with the multimodal data index format.

How to confirm the configuration is complete

  • Run docker compose ps to confirm that all service containers are in a running state with no abnormally exited logs.
  • Access the address bound to FE_DOMAIN, log in to the super administrator account, and check if the knowledge base has synchronized exclusive documents such as photovoltaic process cards and EL inspection images.
  • Initiate a test query of "typical parameter range for texturing processes" to confirm that the returned results include real-time process data and historical records from the MES system.
  • Upload a simulated IV grading data file to confirm that the system can correctly parse the file content and associate it with the corresponding batch production records.

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