What this category of data looks like
Data sources for this category include hot metal and scrap data, L2 process control systems, laboratory test results, MES production management systems, energy medium systems, and equipment status collection terminals. Daily documents include heat plans, batching lists, converter smelting records, composition reports, continuous casting process records, and slab judgment sheets. Data updates occur per heat, in real time, and per shift. Document fields include furnace temperature, composition proportion, casting speed, equipment operating duration, and other metrics, with some parameters having clear industrial measurement units.
What constraints do these characteristics impose during deployment and upgrade
The high-temperature continuous production attribute requires deployment nodes to adapt to industrial-grade stable operating environments, and avoid random shutdowns that interrupt production processes. Multi-source heterogeneous data access must comply with the interface specifications of existing systems such as L2 and MES. The high update frequency of data requires configuring reasonable caching and synchronization mechanisms during deployment. The strong coupling between heats and casting sequences requires the Q&A system's context association logic to match production rhythms. Compatibility with existing production processes must be retained during upgrades. Additionally, the proprietary terminology system must cover all proprietary terms across the entire iron and steel smelting process. The corresponding professional thesaurus must be imported during deployment to ensure Q&A accuracy.
How to set configurations
The following configurations are based on FastGPT v4.17.0, adapted to the deployment needs of iron and steel smelting and continuous casting scenarios:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–200 connections | Adapts to concurrent document query requests across multiple heats, prevents database connection exhaustion from impacting production queries |
MONGODB_URI | mongodb://steel-user:steel-pass@internal-mongo:27017/steel_fastgpt?authSource=admin | Stores massive smelting and continuous casting process documents, supports fast retrieval and archiving by heat and casting sequence |
REDIS_URL | redis://:redis-pass@internal-redis:6379/1 | Caches real-time equipment status and furnace temperature data, matches the fast update rhythm per heat |
FE_DOMAIN | https://steel-plant-fastgpt.intranet | Binds a dedicated intranet domain for the enterprise, ensures compliance and security of internal access |
STORAGE_S3_ENDPOINT | http://internal-object-storage:9000 | Integrates with the enterprise's internal object storage system to store accessories such as equipment inspection photos and process videos |
ROOT_KEY | A strongly random string generated in accordance with enterprise intranet security specifications | Ensures the security of system background management permissions, complies with security requirements of industrial production environments |
Three common configuration errors
- Symptom: A configuration error prompt appears when creating a new knowledge base, and initialization cannot be completed. Cause:
MONGODB_URIorREDIS_URLis not configured correctly, preventing the system from connecting to data storage and caching services. - Symptom: A
Cannot read properties of undefined (reading 'incl')error occurs when opening a workflow. Cause: The iron and steel smelting professional terminology thesaurus was not imported during deployment, and the system cannot recognize proprietary terms, leading to field parsing failure. - Symptom: The content extraction module fails to load specified heat records after local deployment. Cause:
FILE_TOKEN_KEYor the storage endpoint is not configured, preventing access to stored process document attachments.
How to confirm configurations are correct
- Run an intranet ping command to verify that the services corresponding to
REDIS_URLandMONGODB_URIare reachable, confirming normal network connectivity. - Log in to the system background, import the iron and steel smelting professional terminology thesaurus, and verify that proprietary nouns can be correctly identified and associated.
- Submit a query request for converter smelting records, confirm that the system returns the corresponding heat's document content without timeouts or empty results.
- Check whether the
FE_DOMAINconfiguration matches the intranet access address, and verify that the front-end page loads normally and completes login.
The values provided are common starting points and should be measured against the reader's own samples.