What Data Looks Like for This Category
Data for this category comes from raw material batch ledgers, workshop MES systems, slurry coating testing equipment, workshop dew point monitoring terminals, formation and grading cabinets, and laboratory testing instruments. Daily documents include batching records, coating and rolling parameters, winding/stacking records, liquid injection records, formation and grading data, and OCV and safety test reports. Data update cycles cover single batch, single cell, and real-time scenarios. Each record includes a unique batch identifier, cell code, detection time, corresponding parameter values, and qualification judgment field.
What Constraints These Characteristics Impose During Deployment and Upgrade
Data sources for this category are scattered, and update cycles vary. During deployment, it is necessary to adapt to heterogeneous data access protocols of multiple types of industrial equipment to avoid data synchronization delays. High-frequency single-batch and single-cell data writes impose high database concurrency pressure. Connection resource limits must be planned in advance. Electrochemical production has strict data consistency requirements. During upgrades, synchronization of production ledgers must be maintained without interruption to prevent gaps in process parameter records. Multi-dimensional process parameter ledgers occupy significant storage and index space. A reasonable storage tiering strategy must be configured in advance.
Configuration Settings
This configuration is based on FastGPT v4.17.0. Specific parameters are listed below:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 80–120 connections | Matches the high-concurrency ledger write requirements of lithium-ion cell production, prevents database connection exhaustion |
MONGODB_URI | mongodb://[username]:[password]@[intranet host address]:[port]/fastgpt?authSource=admin | Stores unstructured test reports and long-cycle formation and grading data, adapts to index requirements for multi-dimensional process parameters |
REDIS_URL | redis://:[password]@[intranet host address]:[port]/0 | Caches real-time dew point monitoring and cell status data, reduces database pressure from high-frequency queries |
STORAGE_S3_ENDPOINT | Configured using the intranet address of the enterprise's self-built object storage service | Connects to workshop local storage devices, reduces cross-public network data transmission delays, ensures production data security |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Ensures identity verification security for ledger file uploads, prevents unauthorized access to production data |
Three Common Misconfigurations
- Symptom: A 403 Forbidden error appears in the interface when uploading workshop test images or batching record PDF files, and the issue persists after redeployment. Cause: The
FILE_TOKEN_KEYparameter is not configured correctly, causing the identity verification step to block legitimate production data upload requests. - Symptom: Formation and grading data synchronization delay exceeds the preset threshold, and ledger summarization results lag behind production progress. Cause: The
DB_MAX_LINKvalue is not adjusted, insufficient database connections cause write queue backlogs. - Symptom: Some historical ledger fields cannot be displayed normally after upgrade, and generated reports lack key process parameters. Cause: The upgrade process does not maintain compatibility with the index structure of older ledgers, causing historical data to fail to be retrieved correctly.
How to Confirm Successful Configuration
- Perform a bulk import test for single-batch production ledgers, confirm that the time taken for data synchronization meets preset business requirements.
- Upload a single test report file, verify that the file can be stored normally and displayed in the ledger list, with no permission interception prompts.
- Check the database connection count monitoring panel, confirm that the concurrent connection count does not exceed the configured
DB_MAX_LINKlimit. - Trigger a monthly ledger summarization task, verify that the report generation process can normally call parameter data from all data sources, with no missing fields.
The values provided are common starting points and should be measured against the reader's own samples.