What data for this category looks like
Data sources for specialized equipment intelligent due diligence reports include industrial site operation logs, factory inspection reports, quarterly maintenance archives, and real-time operation parameter collection interfaces. Data update rhythm follows three levels: real-time operation parameters sync hourly, maintenance archives update monthly, and factory inspection reports update per equipment inspection cycles. Document structure centers on structured parameter tables, with attached unstructured on-site inspection photos and fault troubleshooting records. Fields include device ID (string), operating duration (unit: hours), rated power (unit: kilowatts), fault count (unit: times), maintenance cycle (unit: days). Some fields must match preset enumeration values from the device manufacturer.
Constraints during deployment and upgrade
Multi-source heterogeneous data characteristics of specialized equipment require deployment to adapt to industrial communication protocol access capabilities, and the mirror repository address of protocol adaptation components must be configured in advance. Hierarchical update rhythms require deployed synchronization tasks to support flexible cron expression configuration, with distinct scheduling rules for real-time, daily, and monthly synchronization. Mixed structured and unstructured document structure requires enabling a sandbox container that supports mixed format parsing during deployment, and the vector database chunking strategy must balance accurate recall of structured fields and contextual association of unstructured text. Enumeration constraints for specialized equipment fields require configuring field mapping rules during deployment to avoid due diligence report generation failures caused by field mismatches.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_PROTOCOLS | ["OPC UA", "Modbus TCP", "SFTP"] | Specialized equipment typically transmits inspection and maintenance data via industrial site protocols or SFTP |
SYNC_SCHEDULE_CRON | "0 0 2 * * *" | Sync daily operation data at 2 AM daily, sync last month's maintenance archives on the 1st of each month |
PARSE_STRUCTURED_FIELDS | ["device ID", "operating duration", "rated power", "fault count"] | These fields are core structured parameters for specialized equipment due diligence |
VECTOR_CHUNK_SIZE | 800–1200 characters | Balance contextual association accuracy for unstructured log snippets and structured parameters |
SANDBOX_RESOURCE_LIMIT | 2 CPU cores, 4 GB memory | Meet stable operation requirements for mixed format document parsing for specialized equipment |
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. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon:
Connection timed outerror returned when pulling protocol adaptation images. Cause: No container proxy configured, or the mirror source does not cover the industrial component-specific mirror repository. - Phenomenon: Only MongoDB and vector database images start after deployment, and due diligence tasks have no valid data input. Cause: Sandbox container for parsing unstructured inspection report attachments of specialized equipment not started.
- Phenomenon: On arm architecture devices after deployment, reranking model startup fails with error
unsupported architecture. Cause: Reranking model image adapted for arm architecture not used, or cross-architecture container runtime not configured.
How to confirm proper configuration
- Run the
docker pscommand, confirm all configured containers (including protocol adapters, sandbox, vector database) are in running state. - Manually upload a specialized equipment inspection report PDF, check if the parsing interface correctly extracts the configured core structured fields.
- Configure a manual synchronization task, check if synchronization logs show successful data pulling and parsing.
- Initiate an intelligent due diligence task, verify that the returned results include the configured fields and corresponding units.
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.