Bid Document and Quotation Preparation for Iron and Steel Smelting and Continuous Casting: Deployment and Upgrade

Data sources include basic hot metal and scrap data, L2 process control data, laboratory composition reports, MES scheduling data, energy medium

What This Type of Data Includes

Data sources include basic hot metal and scrap data, L2 process control data, laboratory composition reports, MES scheduling data, energy medium system parameters, and equipment status logs. Update cadence: generate smelting records per heat, synchronize continuous casting process parameters in real time, and summarize slab judgment sheets per shift. Daily documents include heat plans, batching lists, converter smelting ledgers, composition test reports, continuous casting process cards, and slab quality judgment sheets. Each document’s fields include heat number, cast sequence identifier, temperature parameters, composition proportion, equipment operating duration, and other metrics. Units include degrees Celsius, percentage, ton, hour, and others.

What Constraints These Characteristics Impose on Deployment and Upgrade

High-frequency, multi-source data updates require adapting high-concurrency storage and synchronization configurations during deployment to avoid data write delays affecting real-time bid document updates. Multi-structure professional documents need matching data parsing rules to ensure accurate extraction of key parameters during bid quotation. Since iron and steel smelting and continuous casting are high-temperature continuous processes, use gray deployment strategies during upgrades to avoid business interruptions caused by full-scale switching. Multi-system data docking requirements demand configuring cross-source data synchronization adaptation logic during deployment to ensure consistency between historical and real-time data.

Configuration Recommendations for FastGPT v4.17.0

Configuration ItemRecommended SettingRationale
DB_MAX_LINK20–30 connectionsAdapts to the concurrency requirements of high-frequency per-heat data writes, avoids connection pool exhaustion
MONGODB_URICluster address with read-write separation suffixStores historical smelting records and slab judgment sheets, supports high-frequency queries and writes
REDIS_URLCluster address with persistence configurationCaches real-time continuous casting process parameters and heat plans, reduces backend database pressure
STORAGE_S3_ENDPOINTInternal enterprise object storage service addressStores uploaded heat documents and bid attachments, meets intranet data security requirements
ROOT_KEYGenerated per internal enterprise permission control rulesRestricts unauthorized access to the bid document and quotation preparation configuration interface
FILE_TOKEN_KEYRandomly generated high-strength secret keyEncrypts uploaded smelting document attachments to prevent data leaks

Three Common Misconfigurations

  • Attachments such as uploaded heat batching lists and composition reports cannot be recognized by the system after image-based deployment, with no error logs. Cause: The intranet storage permission corresponding to STORAGE_S3_ENDPOINT was not configured during deployment, causing the container to fail to access the local document storage path.
  • The container cannot connect to external laboratory data interfaces, returning connection timeout errors. Cause: Container network configuration was not modified, or FE_DOMAIN was not configured as the enterprise intranet domain name, leading to cross-domain or routing exceptions.
  • The system frequently triggers connection pool exhaustion errors during batch import of historical heat data. Cause: The DB_MAX_LINK configuration value is too low, failing to adapt to high-frequency concurrent write requirements.

How to Verify Successful Configuration

  • Perform network connectivity tests within the container to confirm access to the configured STORAGE_S3_ENDPOINT and internal enterprise data interfaces.
  • Upload a test converter smelting record document, and confirm the system can normally parse and extract fields including heat number and temperature parameters.
  • Initiate a batch import task for historical slab judgment sheets, observe database connection pool status, and confirm no connection exhaustion occurs.
  • Verify the ROOT_KEY configuration takes effect, with unauthorized requests unable to access the bid document management interface.

The values provided here are common starting points and should be evaluated against the reader’s own samples.