What this category of data looks like
The service inquiry and response data for nuclear power plant operations primarily comes from unit operation logs, on-site inspection records, internal operation and maintenance work orders, frontline staff inquiry records, and equipment alarm logs. Data update cadence falls into two categories: real-time and daily. Inspection and alarm logs are updated in real time. Operation and maintenance logs and work orders are synchronized daily. The standard structure of a single data entry includes the unit number (string with a three-digit region prefix), inquiry time, problem category (fixed enumeration values such as equipment operation, parameter adjustment), response content, disposal result, and response duration. Units include times, seconds, hours, and similar units. There are no universal statistical fields.
Constraints imposed by these characteristics during deployment and upgrade
The unit number field with a fixed prefix requires precise prefix matching during retrieval, so knowledge base chunking must retain the field prefix. During deployment, configure STORAGE_S3_ENDPOINT to connect to the internal compliant storage service. Real-time updated inspection and alarm logs require incremental synchronization, so adjust the timeout threshold for database connection parameters. Large operation and maintenance manuals and unit log files can reach gigabyte-scale sizes, so uploads must adapt to large file processing configurations. Internal inquiry data contains sensitive information, so configure REDIS_URL to connect to an encrypted caching service to ensure data security.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
STORAGE_S3_ENDPOINT | Internal compliant S3-compatible storage endpoint, such as http://10.10.10.10:9000 | Nuclear power plant operation data must be stored in internal compliant storage services to prevent sensitive data leaks |
REDIS_URL | Encrypted local Redis connection address, such as redis://:securepass@127.0.0.1:6379/0 | Cache inquiry sessions and retrieval results to ensure secure access to internal data |
FILE_TOKEN_KEY | Random string of 32 or more characters, calibrated based on actual testing | Validate the legitimacy of file upload requests to prevent unauthorized uploads of large operation and maintenance documents |
DB_MAX_LINK | 20–30 | Adapt to the concurrent query volume of nuclear power plant operation scenarios, avoiding database connection exhaustion |
PG_URL | Internal encrypted PostgreSQL connection address, such as postgresql://nuclear_user:securepass@pg-db:5432/nuclear_consult | Store inquiry records and knowledge base metadata to ensure data persistence and access compliance |
Three Common Misconfigurations
- Symptom: When uploading an operation and maintenance manual PDF larger than 500MB, the upload progress reaches 90% then displays "Offset out of range". Cause: Failure to adjust file upload chunk size and timeout thresholds, causing the breakpoint resume logic to fail during large file chunked transfer.
- Symptom: When deploying FastGPT v4.17.0 locally via Docker, pulling the official image times out and fails. Cause: Failure to configure a domestic mirror acceleration address, or failure to use an internal mirror repository, causing cross-network image pulling to be blocked.
- Symptom: During knowledge base incremental synchronization, some inspection records fail to load normally. Cause: Failure to correctly configure the
DB_MAX_LINKparameter, leading to insufficient database connections and interruption of incremental synchronization tasks.
How to Confirm Configurations Are Correct
- Run the docker pull command to pull the FastGPT image of the corresponding version, confirm that the pull process has no network error messages.
- Upload a single large-scale unit operation and maintenance log file, check that the upload process has no offset-related error messages.
- Initiate multiple concurrent inquiry and retrieval requests, check that database connection logs have no connection exhaustion-related alerts.
- View the knowledge base storage path, confirm that it matches the internal storage service pointed to by the configured
STORAGE_S3_ENDPOINT.
The values given 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.