What the data for this category looks like
Data sources include online composition analysis equipment, DCS systems, laboratory ledgers, kiln and mill equipment operation logs, raw fuel measurement reports, and energy measurement data. Daily documents cover raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy reports. Data update frequencies are divided into three categories: real-time (for equipment operation parameters), shift-based (for inspection and team records), and daily (for laboratory reports and energy reports). Document fields include raw material ratio values, kiln temperature ranges, clinker mineral composition, cement strength indicators, equipment operating hours, and more. Units involve degrees Celsius, tons, and megajoules.
What constraints these characteristics impose on the deployment and upgrade phase
Dispersed data sources with significantly different update rhythms require compatible configuration for multi-source data access during deployment, to avoid conflicts caused by different-frequency data synchronization. Daily business document fields are closely linked. Upgrade steps must retain original field mapping rules to prevent loss of core business fields such as raw material ratios and kiln temperature ranges. Low-latency requirements for real-time equipment operation data require adjustment of relevant data pull parameters, to ensure timely monitoring of rotary kiln thermal regimes. Shift-based and daily batch data processing needs require configuring appropriate batch submission thresholds, to avoid service lag caused by overly large single-batch data volumes. Errors in this category of business directly lead to clinker quality fluctuations or production shutdowns. Deployment must strengthen verification logic in the audit link to ensure data accuracy.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:securepass@db-host:27017/cement_quality?authSource=admin | Stores batch laboratory reports, raw material batching plans and other historical business documents, supports multi-condition query of audit records |
REDIS_URL | redis://:redispass@redis-host:6379/1 | Caches high-frequency data such as real-time kiln temperature and equipment operating hours, reduces repeated reading overhead for DCS systems |
DB_MAX_LINK | 25–35 | Adapts to the demand for concurrent pulling of multi-source data, avoids interruption of real-time inspection data synchronization due to insufficient connections |
STORAGE_S3_ENDPOINT | http://s3-internal.cement-enterprise.com | Stores scanned inspection records, archived energy report files, adapts to batch document upload and download scenarios |
FILE_TOKEN_KEY | Random 32-character string | Ensures access permissions for uploaded inspection documents, prevents unauthorized downloading of sensitive quality data |
Three common mistakes
- Symptom: Returns 404 status code when calling the speech recognition interface. Cause: Incorrect interface path spelling. The correct path is
v1/audio/transcriptions, and the deployment configuration of the speech recognition module was not adapted. - Symptom: Cannot query the daily laboratory report in historical inspection records. Cause: Insufficient database permissions configured in
MONGODB_URI, unable to read newly added laboratory data on the current day, resulting in the audit link being unable to retrieve the corresponding document. - Symptom: Batch data processing times out after the system runs for a period of time. Cause:
DB_MAX_LINKvalue is too low, connections are exhausted during concurrent pulling of multi-source data, unable to process shift-based inspection and batching records in a timely manner.
How to confirm the configuration is complete
- Perform a multi-source data synchronization test, retrieve real-time data from online composition analysis and DCS systems, and verify the completeness and timeliness of data pulling.
- Log in to the system backend, check the connection status of
MONGODB_URIandREDIS_URL, and confirm there are no connection errors. - Upload a raw material batching plan document, verify that the file storage and permission verification logic work normally, and that uploaded files can be accessed using the specified key.
- Check the system version identifier, confirm that the currently running version is FastGPT v4.17.0.
The values provided are common starting points and should be measured against the reader's own samples.