What the data for this category looks like
Data related to general equipment yield rates comes from built-in device sensors, manufacturing execution systems, and operation logs. Full daily statistics for the previous day are synced every early morning. Each record corresponds to daily operating revenue-related data for a single device. The document structure includes fields such as unique device identifier, statistical time period, energy consumption per unit output, operation and maintenance cost as a percentage of revenue, effective operating duration, and fault downtime. Energy consumption per unit output is measured in kilowatt-hours per piece, operation and maintenance cost ratio is measured in yuan per thousand yuan of revenue, and effective operating duration is measured in hours.
What constraints these characteristics impose on deployment and upgrade
The daily batch sync feature of general equipment yield rate data requires configuring cron job parameters during deployment to match the early morning sync schedule. For large device deployments, adjust database connection count parameters to handle concurrent read and write operations. During upgrades, since data is stored as daily records per device, retain mounted database volumes when directly updating docker-compose files to avoid losing historical statistical data. Fields for general equipment differ significantly from other categories. During upgrades, verify compatibility between new configuration items and existing business logic to prevent field mapping errors. For multi-account collaborative access to the knowledge base, configure permission-related parameters in advance to ensure operation permissions align with business requirements.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CRON_EXPRESSION | 0 0 1 * * * | Matches the early morning sync schedule for daily previous-day general equipment yield rate data, and avoids peak business hours |
DATABASE_MAX_CONNECTIONS | 20-50 | Meets concurrent read and write requirements for batch data sync across multiple devices, and prevents database connection exhaustion |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Device log documents may contain multiple sets of operation logs, which require long parsing times; reserve sufficient processing time |
Knowledge Base Permission Mode | Collaborative Sharing | Meets business requirements for multi-account collaborative access to the same device yield rate knowledge base |
Recall count | Top 8 | General equipment yield rate data has a moderate number of fields; excessive recall increases computational burden for subsequent reasoning |
Similarity threshold | 0.75 | Accurately matches operation and revenue data related to devices, and filters low-correlation retrieval results |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: In scenarios where upgrading from 4.9 to 4.12.2, historical statistical data for device yield rates is lost after directly updating the docker-compose file and restarting the service. Cause: Mounted database volumes were not retained, and data persistence parameters were not configured during the upgrade process.
- Phenomenon: When calling the conversation interface, the previous AI reply's conversation record ID cannot be obtained, and the returned field is empty. Cause: Session persistence configuration is not enabled, or the permissions for the configured session storage path are insufficient.
- Phenomenon: Knowledge base search cannot locate the specified general equipment yield rate collection, and returns no matching results. Cause: The collection ID is not specified in the retrieval parameters, or the collection's permission configuration is not open to the current accessing account.
How to confirm the configuration is correct
- Check the cron job logs to confirm that the daily early morning device data sync task triggers normally, with no failed execution records.
- Test multi-account login to the system, verify that different accounts can access the same device yield rate knowledge base, and that operation permissions align with the configured requirements.
- Initiate a knowledge base retrieval request, confirm that target device-related data can be located using the specified collection parameters.
- Call the conversation interface, verify that the conversation record ID of the previous interaction can be returned, and that session data persistence functions normally.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.