What the data for this category looks like
Data for this category comes from special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. Daily generated and processed documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Each document contains fields such as equipment number, inspection cycle, maintenance record entries, rectification time limit, and certificate validity period. Data updates occur monthly, and coverage is required for equipment status, qualification verification, and rectification closure information across the full lifecycle.
What constraints these characteristics impose during deployment and upgrade
Monthly updated batch data requires support for batch import and incremental synchronization during deployment. It must also support integration with multiple system interfaces. Multiple types of structured documents need parsing rules tailored to different fields to avoid mixing up equipment numbers and certificate numbers. High-risk supervision attributes require data storage to meet compliance standards, and ensure accurate parsing of long documents to prevent failures in hidden danger rectification tracking caused by missing fields. Cross-system data docking must be compatible with the output format of existing special equipment supervision systems to avoid additional transformation costs.
How to configure the settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
MONGODB_URI | A dedicated connection string pointing to a government cloud or local cluster | Stores full lifecycle account book data for special equipment, ensuring data isolation and read/write performance |
REDIS_URL | 1000 MB memory dedicated cache instance | Caches frequently queried operator certificate information and inspection cycle data to reduce system call latency |
DB_MAX_LINK | 15–25 connections | Adapts to concurrent connection requirements during monthly batch data import, avoiding database connection exhaustion |
STORAGE_S3_ENDPOINT | Address pointing to a compliant government storage node | Stores sensitive supervision documents such as hidden danger rectification notices and accident reports, complying with government data storage requirements |
FE_DOMAIN | Exclusive government intranet domain name | Ensures instances deployed on government networks can normally call internal special equipment supervision system interfaces |
Three common errors
- Phenomenon: Unable to insert special equipment account book data after Docker deployment, with the interface displaying a database connection timeout error. Cause:
MONGODB_URIorPG_URLis not configured correctly, leading to failed database connection. - Phenomenon: Output is irrelevant to the content when processing a single periodic inspection report exceeding 2000 characters, and normal operation resumes after switching to a paid large model. Cause: No tailored context loading rule is configured for long documents, and the base model's context window is insufficient to carry the complete report content.
- Phenomenon: The intranet-accessed voice assistance function fails to work properly after deployment upgrade. Cause:
FE_DOMAINis not updated from an HTTP address to an HTTPS address, failing to meet the security access requirements of the government network.
How to verify correct configuration
- Run the monthly special equipment account book batch import test task for FastGPT v4.17.0, confirm there are no errors in the database connection logs, and that data is successfully stored in the database.
- Load a complete accident report document, verify that extracted fields such as equipment number and rectification time limit match the original document content, with no missing fields.
- Access the configured
FE_DOMAIN, confirm that the latest inspection cycle data returned by the internal special equipment supervision system can be retrieved normally. - Check the storage node corresponding to
STORAGE_S3_ENDPOINT, confirm that documents such as hidden danger rectification notices can be uploaded and downloaded normally.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.