This document is written based on FastGPT v4.17.0.
What the Data for This Category Looks Like
Data for this category comes from DCS/SIS systems, online analyzers, LIMS laboratory management systems, equipment condition monitoring modules, energy metering devices, and raw material tank account books. Daily documents include operating procedures, process index cards, DCS operation trend graphs, laboratory analysis reports, interlock bypass records, special work permits, and shift production daily reports.
Data update frequencies cover three categories: real-time, per shift, and daily. Document fields include process parameter values, equipment operating status, material component proportions, work approval status, and more. Some parameters have fixed units such as MPa, t/h, and ℃.
What Constraints Do These Characteristics Impose During Deployment and Upgrade
Multi-source heterogeneous data sources for continuous basic chemical production require adaptation to multi-format document parsing and cross-system data docking during deployment. Upgrades must maintain compatibility with existing industrial system interfaces such as DCS and LIMS.
Real-time, high-frequency updated data requires configuring sufficient cache and concurrent processing capabilities during deployment to avoid data synchronization delays.
Documents include highly compliant content such as interlock bypass records and special work permits. Deployment must ensure data storage security and traceability. Upgrades must retain original data field mapping rules to prevent compliance check failures.
Large document volumes from bulk continuous production require planning reasonable storage expansion paths during deployment. Upgrades must verify the stability of large file parsing.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 50–80 connections | Adapt to concurrent access demands of multi-source data for continuous basic chemical production, avoid exhausting database connections |
MONGODB_URI | Point to a local cluster or private cloud storage node | Ensure local storage of sensitive documents such as process data and work records, comply with industrial data security requirements |
REDIS_URL | Configure as a local cache instance with a memory quota of 8000 MB | Meet high-frequency reading demands for real-time DCS trends and laboratory reports, reduce database access pressure |
STORAGE_S3_ENDPOINT | Point to an enterprise internal object storage service | Adapt to storage demands for large-volume process documents and DCS trend graphs, avoid public network data transmission risks |
FILE_TOKEN_KEY | Generate in accordance with enterprise internal key specifications | Ensure identity verification for file upload and access, prevent unauthorized access to sensitive work documents |
Three Common Misconfigurations
- A
403 Forbiddenerror appears in the interface, and uploaded files cannot be accessed normally. The cause is incorrect configuration ofFILE_TOKEN_KEY, causing identity verification logic to fail. - A
permission denied while trying to connect toerror occurs during local deployment. The cause is that the deployment user does not have access permissions for the corresponding storage node or database, and directory read/write permissions were not configured in advance. - The frontend page fails to load normally in 360 Speed Browser after upgrade. The cause is that frontend compilation does not comply with ES standards for older browsers, and compilation configurations were not adjusted as required to adapt to older browser versions.
How to Verify Proper Configuration
- Run the built-in database connection test script to verify that the connection count set by
DB_MAX_LINKhas not been exhausted. - Upload a simulated special work permit document, check that the file storage path matches the service pointed to by
STORAGE_S3_ENDPOINT. - Access the frontend page using 360 Speed Browser, verify that the page loads normally and supports basic interactions.
- Attempt to connect to the local Redis instance, confirm that the cache service configured via
REDIS_URLcan read and write data normally.
The values provided are common starting points and should be measured against the reader's own samples.