What This Category of Data Looks Like
This category of data comes from regulatory standards, online environmental monitoring equipment, gas detectors, personnel qualification files, equipment isolation lists, and supervision platforms. Daily documents include risk identification records, work permits for hot work, confined space work, hoisting operations, and other operations, monitoring records, hazardous waste ledgers, emission monitoring data, and accident and hidden danger rectification reports. Data updates are performed upon completion of a single operation, per monitoring cycles, or during regular inspections. Core document fields include operation time periods, detection values, qualification numbers, isolation status, and other key items.
Constraints Imposed by These Characteristics During Deployment and Upgrade
Multi-source data access for this category imposes constraints on multi-format parsing and synchronization configuration during deployment. Data sources with varying update frequencies require customizable synchronization cycle parameters during deployment, to adapt to the different rhythms of real-time monitoring data and regular ledger updates. Diverse document types require corresponding parsing rules to be configured in advance, to prevent cross-format parsing failures. The requirement for data association verification requires preset field matching logic during deployment, to ensure the accuracy of cross-verification between work permits, monitoring records, and qualification information. During upgrades, existing device docking configurations must be compatible, to avoid interrupting operation data synchronization.
How to Configure Settings
This configuration guide applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–20 connections | Multiple data sources exist for this category; limiting concurrent connections prevents database overload |
STORAGE_S3_ENDPOINT | Configure according to local storage nodes or compliant cloud storage endpoints | Supports storage requirements for large documents such as hazardous waste ledgers and monitoring records |
REDIS_URL | Local instance on port 6379 or dedicated cache cluster address | Caches real-time monitoring data and work permit verification results to shorten cross-review response times |
FILE_TOKEN_KEY | 32-character random string | Ensures secure access permissions for uploaded documents such as work permits and monitoring reports |
ROOT_KEY | Configure according to internal enterprise permission management rules | Controls modification permissions for core configurations, preventing accidental changes from affecting EHS data verification processes |
Three Common Misconfigurations
- Phenomenon: No output when calling database connections after local deployment, and device monitoring data cannot be associated in workflows. Cause:
PG_URLorMONGODB_URIis not configured correctly, and database access permissions are not verified. - Phenomenon: No response from cross-review after uploading attachments such as work permits and hazardous waste ledgers. Cause:
FILE_TOKEN_KEYor storage endpoint is not configured, causing attachments to fail to load normally. - Phenomenon: Real-time monitoring data synchronization delay, and pre-operation risk identification verification times out. Cause:
DB_MAX_LINKis set too low, exhausting concurrent connections and causing data reading blocking.
How to Verify Successful Configuration
- Log in to the FastGPT backend, check the values of database configuration items such as
DB_MAX_LINKandMONGODB_URI, and verify that the database connection status is normal. - Upload a standard hot work permit document, trigger the cross-review process, and confirm that the attachment can be parsed and loaded normally.
- Simulate a single operation data submission, check the synchronization status of real-time monitoring data, and confirm that the cache and storage links are operational.
- Attempt to modify core configuration items, verify that the
ROOT_KEYpermission check takes effect, and that unauthorized users cannot modify the configuration.
The values provided are common starting points and should be evaluated against the reader's own samples.