What this category of data looks like
This category of data originates from the mining, raw material, calcination, grinding, quality control, and energy departments of cement enterprises. It covers documents including raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy statements. Data sources include online composition analysis systems, DCS control systems, laboratory data, kiln and mill equipment sensors, raw and fuel ledgers, and energy metering devices. Update frequencies fall into three categories: real-time, per-shift, and daily. Fields include material component proportions, equipment operating parameters, and laboratory indicator values, with corresponding units attached.
What constraints do these characteristics impose during deployment and upgrade?
Data sources are scattered, and update frequencies vary widely. During deployment, multi-source heterogeneous data access must be supported, with corresponding data synchronization interfaces reserved. Significant structural differences exist across multiple document types. During upgrades, text parsing for different formats must be supported to avoid field identification errors. Real-time online composition analysis and DCS data require a low-latency synchronization mechanism during deployment. Ledger-type data updated per shift or daily needs to support batch incremental synchronization. Data for this category is tied to core production processes. Data link stability must be maintained during deployment and upgrade to prevent production process data interruptions caused by configuration errors.
How to set configurations
This page is written for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
REDIS_URL | redis://:custom password@internal server address:6379/0 | Used to cache frequently queried process standard Q&A results, adapting to caching requirements for real-time and per-shift updated data synchronization |
DB_MAX_LINK | 20–30 connections | Matches concurrent connection counts for multi-source data access, preventing DCS and laboratory data synchronization failures due to insufficient connections |
STORAGE_S3_ENDPOINT | Enterprise internal object storage service access address | Stores documents such as kiln operation records and laboratory reports, adapting to storage requirements for batch document uploads |
PG_URL | Enterprise internal PostgreSQL database connection address | Stores structured business data such as process specifications and quality control notices |
ROOT_KEY | Generated in accordance with enterprise internal permission rules | Configures system administrator permissions, preventing unauthorized personnel from modifying knowledge base content for process standard Q&A |
FE_DOMAIN | Enterprise internal frontend access domain name | Configures frontend access addresses, adapting to access restrictions within the enterprise internal network |
Three common errors
- Symptom: Empty results or no response after calling the process standard Q&A interface. Cause: The
REDIS_URLconfiguration is incorrect, causing the cache link to interrupt and preventing locally deployed knowledge base data from loading. - Symptom: Storage errors occur when batch uploading documents such as raw material batching plans and laboratory reports. Cause:
STORAGE_S3_ENDPOINTis not correctly set to point to the enterprise internal storage service, preventing documents from being properly written to the storage medium. - Symptom: Application configuration export files cannot be generated normally. Cause:
FILE_TOKEN_KEYis not configured correctly, resulting in insufficient file generation permissions and preventing valid export files from being created.
How to confirm the configuration is valid
- Run a database connection test to verify that databases configured via
PG_URLandMONGODB_URIcan establish normal connections. - Upload a standard-format kiln operation record document to verify that the storage service configured via
STORAGE_S3_ENDPOINTcan receive and store files normally. - Submit a process standard query regarding rotary kiln thermal system adjustment to verify that the cache service configured via
REDIS_URLcan cache query results normally. - Attempt to access the system using accounts with different permission levels to verify that permission configurations comply with enterprise internal access rules.
The values provided are common starting points and should be measured against the reader's own samples.