What this category of data looks like
This category of data covers risk identification lists, hot work, confined space entry, and hoisting work permits, online environmental monitoring records, hazardous waste ledgers, gas detection data, personnel qualification documents, equipment isolation lists, and data reported to local regulatory authority platforms. Data sources include industry regulations and standards, on-site online monitoring equipment, portable detection instruments, personnel management systems, and local regulatory authority platforms. Data is generated in real time as operations take place. Monitoring data is refreshed at specified intervals. Qualification documents and equipment isolation lists are reviewed on a regular basis. Documents include standardized fields such as work approval fields, monitoring values, and rectification and closure status. There are no unified fixed units; corresponding measurement standards are used based on data type.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous data, real-time update characteristics, and high compliance requirements of this category impose clear constraints on deployment and upgrade. Mixed structured and unstructured data from multiple sources requires configuring access paths compatible with multiple formats during deployment. High-frequency updates of real-time monitoring data require adjusting data synchronization frequency thresholds during upgrades to avoid excessive system resource usage. Approval-related data for work permits and rectification reports requires retaining complete field verification logic during deployment. Docking requirements with local regulatory authority platforms require reserving standardized interface adaptation space during upgrades, to ensure subsequent docking can be completed without restructuring core processes. Long-term retention requirements for compliance data require configuring sufficient storage capacity and backup strategies to meet subsequent traceability and verification needs.
How to set configurations
This configuration guide applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Set to the connection address of the deployment node's local or dedicated cluster, set the maximum connection pool size to 100 | This category of data includes high-frequency updated monitoring records and work permits, requiring a stable database connection pool to support concurrent read and write operations |
REDIS_URL | Set to the local cache node address, set the cache expiration time to 3600 seconds | Real-time monitoring data requires short-term caching to improve retrieval efficiency; the 3600-second expiration duration matches the real-time requirements of most scenarios |
STORAGE_S3_ENDPOINT | Set to the locally compliant object storage service endpoint, set the single-file upload limit to 1000 MB | Attachments for work permits and monitoring reports may include large-size drawings or video files; the 1000 MB limit covers most scenarios |
ROOT_KEY | Set to a randomly generated 32-character string key | Used for system administrator identity verification, ensuring background access security after deployment, and meeting permission control requirements for compliant data |
Three common mistakes
- Phenomenon: Attempting to connect to a third-party collaboration platform fails to complete message pushing, and the interface displays a connection timeout error. Cause: Parameters required for third-party docking are not configured correctly, or outbound permissions for the corresponding port are not open.
- Phenomenon: After switching from an application with mandatory global variables to an application without global variables, the system still verifies the mandatory fields of the old application, causing page loading errors. Cause: The global variable cache of the old application was not cleared during upgrade, or the context parameters associated with the application were not reset.
- Phenomenon: When creating a knowledge base in a lightweight deployment environment, the index creation step stalls with no progress. Cause: Database connection pool parameters are insufficient to support index construction for batch data, or read/write permissions for the storage node are restricted.
How to confirm configurations are correct
- Run the database connection test script to verify that the address configured via
MONGODB_URIcan establish a normal connection, and the concurrent number of the connection pool meets the peak demand estimated by current business. - Upload a work permit attachment to the system to verify that the storage service configured via
STORAGE_S3_ENDPOINTcan receive the file normally and return a valid access path, and the file size complies with the preset limit. - Start the real-time data synchronization task to check whether the cache node configured via
REDIS_URLcan cache monitoring data normally, and whether the cache expiration time setting matches the business real-time requirements. - Attempt to log in to the background as an administrator to verify that the key configured via
ROOT_KEYcan pass identity verification without permission errors.
The values provided are common starting points and should be measured against the reader's own samples.