What the data for this category looks like
Data sources for the cement clinker and grinding link include online composition analysis equipment, DCS control systems, laboratories, kiln and grinding equipment, raw material and fuel ledgers, and energy metering systems. Data update frequencies include three categories: real-time, shift-based, and daily. Daily documents include raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy reports. Data fields cover raw material and fuel composition parameters, thermal indicators such as kiln temperature, clinker mineral composition, cement strength indicators, and equipment operating parameters, including quality and energy-related information across the entire production process.
Constraints Imposed by These Characteristics During Deployment and Upgrade
Multi-source heterogeneous data sources require a unified data format conversion layer to be configured during deployment, to adapt to the interface protocols of different systems. Differences in data update frequencies require matching different synchronization scheduling strategies. Real-time data needs low-latency cache support. Batch report data requires scheduled task scheduling. Diverse daily document types require different knowledge base indexing rules for short-text inspection records and long-text batching plans. Additionally, production interruptions for this category can cause shutdown or return risks. A disaster recovery and gray switch mechanism must be configured during the upgrade phase to avoid disrupting normal production workflows.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setup | Rationale |
|---|---|---|
MONGODB_URI | Configure as the connection string for the corresponding production database, set memory quota to 1000 MB | Adapt to the storage needs of multi-source data, meet read/write performance for real-time and batch data |
REDIS_URL | Configure as the connection address for a dedicated cache instance, set connection timeout to 30 seconds | Support temporary caching of real-time data, reduce latency from multi-source concurrent access |
STORAGE_S3_ENDPOINT | Configure as the access endpoint for the enterprise object storage service | Adapt to unified storage of multiple document types including raw material batching plans and laboratory reports |
DB_MAX_LINK | Set to 80–120 | Limit the number of concurrent database connections, avoid exhausting system resources during multi-source data access |
| Multi-source data access adapter | Configure an adapter that supports conversion of multi-source data formats for systems including DCS and laboratory systems | Unify data formats of different systems, meet full-process data access requirements |
| Scheduled synchronization task configuration | Set three types of scheduling based on data update frequency | Match different data update rhythms of real-time, shift-based, and daily |
Three Common Misconfigurations
- Scenario: After migrating the server for non-Docker deployments, a database connection failure prompt appears when executing knowledge base creation. Cause: Connection parameters for
MONGODB_URIandREDIS_URLare not correctly configured, resulting in failed normal connectivity between the database and cache service. - Scenario: When creating a knowledge base, an error log of worker terminated due to reaching memory limit appears. Cause: The
DB_MAX_LINKconfiguration exceeds the database memory quota. Combined with the multi-source data access requirements of cement clinker grinding, concurrent connection limits are not reasonably set. - Scenario: After upgrading the version, an error of Failed to create post presigned url pops up when uploading files. Cause:
STORAGE_S3_ENDPOINTandFILE_TOKEN_KEYare not correctly configured. The object storage signature generation parameters are invalid, causing the file upload process to interrupt.
How to Verify Correct Configuration
- View synchronization logs for each data source, confirm that data is updated at the preset real-time, shift-based, and daily frequencies.
- Upload typical documents such as raw material batching plans and equipment inspection records, verify that the knowledge base index generation process has no abnormal errors.
- Execute a temporary data query operation, check the connection status of the cache and database, confirm that core configuration items are in effect.
- Trigger a single file upload test, verify that the object storage access and signature generation process operates normally.
The values provided are common starting points and should be measured against the reader's own samples.