Photovoltaic Module Encapsulation Equipment Inspection and Maintenance Q&A: Deployment and Upgrade

This category of data covers the entire photovoltaic module encapsulation process, serving departments including string welding, lamination, frame

What this category of data looks like

This category of data covers the entire photovoltaic module encapsulation process, serving departments including string welding, lamination, frame assembly, and testing. Data sources include wafer grading systems, glass adhesive film and backplane batch ledgers, factory MES systems, string welding and lamination equipment, and EL/IV testers. Daily documents include layout diagrams, material batch records, lamination process records, EL defect images, IV test reports, insulation withstand voltage records, and packing lists. Data updates follow the pattern that each module generates an independent record, and each batch of raw materials synchronously updates the batch ledger. Fields include equipment operating parameters, test values, material batch numbers, production time, and similar items. No additional fictional statistical values are included.

What constraints these characteristics impose during deployment and upgrade

Data for this category comes from multiple dispersed sources and has a high update frequency. Each module and batch of materials generates an independent record. This requires the deployment phase to support stable connection configurations for multiple data sources. Multiple document types (such as EL images and IV test reports) require corresponding parsing rules. Upgrades must maintain compatibility with newly added device log fields. High-frequency updated data creates storage and retrieval pressure, so sufficient database connection and cache resources must be reserved. Core business links rely on specific field matching. Deployment must ensure the correctness of knowledge base associated fields to avoid retrieval results deviating from the equipment inspection and maintenance business scenario.

Configuration Settings

The following configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended ValueRationale
MONGODB_URImongodb://username:password@host:27017/fastgpt?authSource=adminAdapts to multi-type document storage, associates business data such as device logs and test reports
DB_MAX_LINK200–300Addresses high-frequency record generation per module, covers connection requirements for concurrent access and data updates
REDIS_URLredis://:password@host:6379/0Caches inspection rules and retrieval results, reduces real-time query pressure on the database
STORAGE_S3_ENDPOINTFill in according to the enterprise's internal object storage addressStores large-volume documents such as EL images and IV test reports, adapts to the enterprise's existing storage architecture
ROOT_KEYGenerate a strong key based on actual measurementsEnsures the security of system background operation permissions, prevents unauthorized configuration modifications

Three Common Configuration Errors

  • Symptom: Container restarts continuously, frontend is inaccessible, logs prompt MongoDB connection errors or authentication failures. Cause: Authentication parameters for MONGODB_URI are not configured correctly, or database connection count exceeds the limit set by DB_MAX_LINK.
  • Symptom: Retrieval results for equipment inspection cannot be associated with EL images and IV test reports. Cause: The storage path of the corresponding document is not bound in the knowledge base configuration, or the data source configuration does not associate the device ID field from the MES system.
  • Symptom: Container fails to start when deployed via Synology Docker, logs prompt database configuration errors. Cause: The connection address for PG_URL or MONGODB_URI is not filled correctly, or the corresponding port permissions for the container are not opened.

How to Verify Successful Configuration

  • After starting the deployment container, check database connection-related logs to confirm that the configurations for MONGODB_URI and REDIS_URL can establish normal connections.
  • Upload a single photovoltaic module's EL image and IV test report, perform a retrieval test related to equipment inspection, confirm that retrieval results can associate the storage address of the corresponding document.
  • Access the system background management page, verify the permission check logic, confirm that unauthorized keys cannot modify core configuration items.
  • Simulate multiple devices initiating retrieval requests simultaneously, observe system operating status, confirm that the value of DB_MAX_LINK adapts to the concurrent requirements of the current scenario.

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