Inspection and Process Record Audit for Continuous Basic Chemical Production: Deployment and Upgrade

Typical data sources for continuous basic chemical production include DCS/SIS systems, online analyzers, LIMS laboratory management systems, equipment

What the Data for This Category Looks Like

Typical data sources for continuous basic chemical production include DCS/SIS systems, online analyzers, LIMS laboratory management systems, equipment condition monitoring modules, energy metering devices, and raw material tank data terminals. Data update frequencies fall into three categories: real-time (process temperature, pressure parameters), shift-based (shift reports, special work tickets), and daily (laboratory reports, interlock bypass records). Routine documents include operating procedures, process indicator cards, DCS trend charts, laboratory reports, interlock bypass records, special work tickets, and more. Fields include process parameters (units: ℃, MPa, m³/h), laboratory concentration percentages, interlock trigger time, and reset status, among others.

Constraints on Deployment and Upgrade

The multi-source real-time data, multi-type document structures, and strict security and compliance requirements of this category impose multiple constraints on deployment and upgrade workflows. Concurrent requests from multiple data sources require matching connection pool capacity to avoid data reading delays. Multi-type documents need adapted parsing rules to ensure accurate extraction of structured fields. Real-time updated process data requires a reasonable cache strategy to reduce pressure on the underlying database. Additionally, records related to toxic and hazardous media must be strictly restricted to intranet access. Deployments must be bound to the enterprise intranet domain name, with no public network exposure. During the upgrade process, storage of core documents such as interlock records and special work tickets must not be interrupted, to avoid impacting production audit workflows.

Configuration Settings

The following configuration instructions are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
DB_MAX_LINK100–200 connectionsContinuous basic chemical production data is updated in real time, with high concurrent requests from multiple data sources, requiring sufficient connection pool capacity to ensure stable operation
MONGODB_URIPoint to the enterprise internal MongoDB replica set addressData of this category accumulates over the production cycle, and the replica set architecture ensures read/write availability and data fault tolerance
PG_URLPoint to the enterprise internal PostgreSQL database addressStores user registration information and permission configurations, ensuring normal authentication links
REDIS_URLConfigure local cache expiration time to 300 secondsReal-time process indicators require high-frequency queries, and caching effectively reduces access pressure on the underlying database
FILE_TOKEN_KEYConfigure as an enterprise internal custom secret stringUsed to verify the legality of uploaded files, adapting to access requirements for custom PDF parsing services
STORAGE_S3_ENDPOINTBind to the enterprise internal object storage node addressStores large-volume documents such as interlock bypass records and special work tickets, complying with enterprise internal storage specifications and security requirements
FE_DOMAINConfigure as the intranet access domain name for the production areaOnly allows access from the production area intranet, meeting security and compliance requirements for production data

Common Misconfigurations

  • Symptom: PDF upload fails during conversation, returning "File parsing timed out" or "Verification failed". Cause: The FILE_TOKEN_KEY parameter is not configured correctly, blocking upload requests, or the cache expiration time set in REDIS_URL is too short, causing loss of intermediate states during the parsing process.
  • Symptom: The system frequently displays the "too many connections" error, and cannot read process data. Cause: The value of DB_MAX_LINK is lower than the number of concurrent requests in the production scenario, failing to match the pressure of real-time data updates.
  • Symptom: The registration page fails to load, and new users cannot complete the registration process. Cause: The configurations for PG_URL and FE_DOMAIN are not properly associated, breaking the user authentication link and preventing the generation of valid registration credentials.

How to Verify Successful Configuration

  • Run a connection pool test script to confirm no connection timeouts or errors occur when 150 concurrent database requests are sent.
  • Upload a typical interlock bypass record PDF, and confirm that structured fields including trigger time, interlock number, and reset status can be extracted correctly after parsing.
  • Access the intranet address configured for FE_DOMAIN, and confirm the registration page loads normally, allowing new users to complete the registration process.
  • Check the storage node bound to STORAGE_S3_ENDPOINT, and confirm uploaded shift report documents have been stored correctly and can be read without issues.

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