What the Data for This Category Looks Like
Service inquiry and response data for iron and steel smelting comes from three main sources: full-process smelting process standard documents, equipment operation logs and quality inspection reports, and historical ledgers of internal service inquiries. Data is updated in two rhythms: real-time and periodic. Equipment operating parameters and real-time quality inspection data are updated in real time. Process standard documents and service process descriptions are updated weekly. Each document includes process step name, equipment number, parameter thresholds such as temperature and pressure, and Q&A pairs. Fields include furnace number, shift, and process node ID. Parameter units use standard industrial units including ℃, MPa, m³/h.
Constraints for Deployment and Upgrade
This dataset contains many structured parameters with industrial units and high-frequency real-time logs. Deployment must prioritize structured data storage compatibility and incremental synchronization capabilities. Avoid full re-import of historical data during upgrades. This action causes delays in real-time data coverage. Inquiry data fields include specific industrial identifiers. The preprocessing link must retain field metadata and unit information. Losing this data reduces retrieval matching accuracy. Concurrent inquiry requests fluctuate with production shifts. Reserve sufficient connection pool resources during deployment to handle peak traffic.
Reference only; verify against the target FastGPT release and deployment documentation.
How to Configure Parameters
| Configuration Item | Recommended Approach | Basis for This Setting |
|---|---|---|
MONGODB_URI | Fill with the replica set address bound to the iron and steel smelting business database, formatted as mongodb://user:pass@host1:port1,host2:port2/dbname?replicaSet=rs0 | Business data includes structured equipment logs and unstructured process documents. Replica sets ensure read-write stability and disaster recovery capability |
REDIS_URL | Fill with the cluster address with password authentication, formatted as redis://:your_password@redis-host:6379/0 | High-frequency session caching and retrieval result caching require low-latency read-write operations. Cluster mode handles peak concurrency |
DB_MAX_LINK | Set to 20–30 | Concurrent inquiry requests for iron and steel smelting business fluctuate with production shifts. This value prevents connection exhaustion |
STORAGE_S3_ENDPOINT | Fill with the internal object storage endpoint address, such as http://internal-s3:9000 | Unifiedly manage storage paths for process documents and log files, and comply with internal data compliance requirements |
ROOT_KEY | Set to a random string with a complexity of no less than 16 characters | Ensure access security for the background management interface and prevent unauthorized configuration modifications |
FE_DOMAIN | Fill with the internal office network access domain name, such as http://fastgpt.internal | Only meet the access needs of internal service personnel, and restrict external access |
Three Common Configuration Mistakes
- Phenomenon: After adding an OneAPI channel, the channel is marked as unavailable, and the test interface returns a 401 status code. Cause: The OneAPI token parameter is not correctly associated in the FastGPT configuration, causing identity verification failure.
- Phenomenon: Insufficient results are returned when searching for process documents after deployment. Cause:
DB_MAX_LINKis set too low, the database connection pool is exhausted, and full document retrieval cannot be completed. - Phenomenon: Equipment parameter fields are lost after an upgrade. Cause: Field mapping configuration of the structured business database is not backed up in advance, and field metadata with industrial units is overwritten during full migration.
How to Verify Successful Configuration
- Log in to the FastGPT background management interface, enter the
ROOT_KEYto verify that the configuration page loads normally. - Run the OneAPI channel test, confirm that the returned status code is 200, and no token invalid error is displayed.
- Upload an iron and steel smelting process document, check that
STORAGE_S3_ENDPOINTstores the file correctly and returns an accessible file link. - Initiate an equipment operation and maintenance-related inquiry, confirm that the search results include the correct furnace number, temperature parameters, and corresponding process descriptions.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.