What this category of data looks like
This category of data includes measuring instrument ledgers, calibration plans, calibration certificates, interim verification records, original test records, reference material ledgers, and other documents. Data sources include enterprise metrology management systems, external calibration institution certificates, LIMS systems, standard instruments, and environmental monitoring equipment. Updates are triggered by calibration cycles, completion of single tests, or abnormal situations. Fields include unique instrument numbers, specification models, calibration dates, measured values, uncertainty, validity periods, and more. Some fields use statutory units of measurement, such as millimeters for length and newtons for force.
Constraints for database and operations maintenance
Multi-source data access requires the database to support standardized storage and incremental synchronization of heterogeneous data formats. This avoids duplicate entry of duplicate information such as calibration certificates and ledgers. The non-fixed update rhythm triggered by calibration cycles or abnormal situations requires operations maintenance links to support on-demand data updates and verification. This prevents database redundancy. Fields with statutory units of measurement require separate storage of unit information. This prevents traceability failure caused by separation of numerical values and units. The traceability requirement that links instrument status and product batches requires the database to support efficient multi-table association queries. This ensures link traceability efficiency during defect analysis.
How to set configurations
This document is compatible with FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://meter_user:meter_pass@db-host:27017/meter_lab_docs?authSource=admin | Stores unstructured documents such as calibration certificates and original test records; specifies the authentication source to ensure data access security |
PG_URL | postgresql://meter_user:meter_pass@db-host:5432/meter_lab_manage | Stores structured associated data such as measuring instrument ledgers and calibration plans; supports association queries between instruments and product batches |
DB_MAX_LINK | 20–30 | Adapts to concurrent requirements of multi-source data synchronization and batch traceability analysis; prevents database connection exhaustion |
REDIS_URL | redis://:redis_pass@redis-host:6379/1 | Caches frequently queried instrument status and calibration results to reduce access pressure on the primary database |
| Data validation rules | Follow actual measurement calibration | Adapts to validation requirements for statutory measurement units and uncertainty fields of data in this category |
Three common misconfigurations
- Phenomenon: After starting the container, a prompt stating
mongo5 version does not support AVXor database connection timeout appears. Cause: The MongoDB image version was not adjusted for low-version CPUs, and a high-version image that relies on the AVX instruction set was used. - Phenomenon: Traceability queries return empty results or associated data is missing. Cause: The association table parameters in
PG_URLwere not configured correctly, resulting in a broken link between measuring instrument ledgers and product batches. - Phenomenon: Duplicate submission of the same calibration data validation request causes excessive database load. Cause: The
REDIS_URLcache for validation results was not configured, so duplicate requests directly access the primary database.
How to confirm configurations are correctly set
- Run a database connectivity test script to verify the correctness of
MONGODB_URIandPG_URLparameters, and confirm that data can be read and written normally. - Submit a simulated interim verification record, check whether the data is synchronized to the database according to the configured update rhythm, and whether the fields fully include statutory units of measurement.
- View the cache monitoring panel to confirm that the cache instance corresponding to
REDIS_URLnormally receives and stores the results of frequent queries. - Adjust the number of concurrent queries to verify that the
DB_MAX_LINKsetting effectively limits the number of database connections and prevents connection exhaustion.
The values provided are common starting points and should be measured against the reader's own samples.