What the data for this category looks like
Data for automated equipment intelligent due diligence reports comes primarily from manufacturer factory default parameter documents, real-time operation logs uploaded by IoT sensors, annual compliance inspection reports, and equipment operation and maintenance ledgers. Data update rhythms fall into two categories: static and dynamic. Factory parameters and compliance reports are updated on a fixed schedule. Operation logs and sensor data are reported incrementally in real time or hourly based on equipment operation status. Document structure includes four modules: basic equipment information, operation parameters, fault records, and compliance verification. Fields include equipment model, serial number, operation duration (unit: hours), operating voltage (unit: volts), fault code, compliance item number, and other structured content. Some modules include unstructured fault troubleshooting notes.
What constraints do these characteristics impose on deployment and upgrade
The multi-source data characteristics of automated equipment due diligence reports impose clear constraints on deployment and upgrade workflows. Multi-source data must connect to data sources in different formats. During deployment, configure multi-format parsing adapters to prevent parsing failures. Incrementally updated data must be synchronized on a scheduled interval. During upgrades, retain the incremental synchronization configuration logic to avoid interrupting data collection. Different equipment models correspond to different versions of upgrade packages. During deployment, establish version matching verification rules to ensure upgrade packages correspond to the correct equipment models. Fixed format requirements for structured fields require presetting field extraction rules during deployment to prevent missing or misaligned fields after parsing.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Automated equipment due diligence reports include multiple operation log and sensor data files, with long single-file parsing durations |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Annual operation log packages for a single device are large in size, requiring support for large-file batch uploads |
rag_chunk_size | 800-1200 characters | Most equipment parameters are structured data; segmentation must preserve field integrity to avoid misaligned fields after splitting |
max_concurrent_parse | 10-20 | When batch processing due diligence reports for multiple devices, balance server load and parsing efficiency |
SYNC_INCREMENTAL_INTERVAL | 3600 seconds | Automated equipment operation data is reported incrementally hourly, so the synchronization interval matches the reporting rhythm |
WORKFLOW_NODE_LAZY_LOAD | Enabled | When there are many workflow nodes, lazy render non-visible area nodes to avoid page freezes |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Issue: After starting the container, the error
plugin register file not foundis displayed. The cause is failure to create thepackages/plugins/registerdirectory in the deployment directory and complete the container mount configuration. - Issue: When the number of workflow nodes exceeds 20, text input in the configuration interface experiences lag. The cause is failure to enable the workflow node lazy load configuration, with the front end rendering all nodes at once leading to excessive resource usage.
- Issue: After private deployment, official templates cannot be imported. The cause is failure to enable template import permission configuration; this function must be manually enabled.
How to confirm the configuration is correct
- Upload a complete due diligence report for a single device, check if the parsed fields match the preset basic equipment information, operation parameters and other modules, and adjust the parsing rules until the fields fully correspond.
- Perform a batch import of due diligence reports for 10 devices, monitor server resource usage, and adjust the concurrent parsing parameter values to keep the load within a stable range.
- Wait for one incremental synchronization cycle, check if the latest operation data has been automatically added to the knowledge base, and confirm that the synchronization interval configuration matches the data reporting rhythm.
- Run the upgrade command and check the container logs to confirm there are no errors related to parsing timeouts, missing configuration files, or version mismatches.
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.