What the Data for This Category Looks Like
The data for general equipment intelligent due diligence reports comes primarily from equipment factory certificates, operation and maintenance ledgers, third-party statutory inspection reports, and real-time operation data collected via the Internet of Things. Static data such as equipment model, rated power, and factory serial number is retained permanently when the equipment is filed. Dynamic operation data such as total operation hours and fault count is updated monthly. Annual inspection reports are updated in sync with statutory verification cycles. Most document structures include four modules: basic equipment information page, core parameter configuration table, quarterly operation and maintenance record book, and fault troubleshooting log. Standardized parameter fields include rated power (unit: kW), total cumulative operation hours (unit: h), and pressure test value (unit: MPa).
Constraints on Workflow Orchestration From These Characteristics
The multi-source, periodically updated document characteristics of general equipment impose several core constraints on workflow orchestration. Static equipment archive data does not require frequent retrieval. Configure static data source call nodes that trigger only when equipment is filed or parameters are changed, to avoid invalid resource consumption. The modular document structure requires configuring split parsing nodes in the workflow. These nodes separately process content from the four modules: basic information, core parameters, operation and maintenance records, and fault logs. Also configure equipment number association rules to complete cross-module data matching. Differences in units across parameters require embedding unit verification nodes. These nodes check the format and units of fields such as rated power and operation hours, to avoid unit inconsistency issues in subsequent analysis.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_DOC_SPLIT_MODE | Split by document module | General equipment due diligence reports have a fixed multi-module structure. Splitting by module preserves field association relationships and avoids cross-module data fragmentation |
DATA_SOURCE_UPDATE_CYCLE | Static data: Trigger on demand; Dynamic operation data: 30 days; Annual inspection data: 365 days | Matches the characteristics of general equipment static data being fixed and dynamic data updating periodically, reducing invalid data retrieval |
FIELD_UNIT_VALIDATE_RULE | Enable unit verification, allow standard units such as kW, h, MPa | General equipment parameters follow a fixed unit system. Verification prevents unit conversion errors |
WORKFLOW_TRIGGER_TYPE | Equipment filing trigger, scheduled scheduling trigger, manual trigger | Covers different scenario needs including static data updates, dynamic data retrieval, and ad-hoc due diligence |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | General equipment documents often include multi-page operation and maintenance records. A longer timeout ensures complete parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual inspection reports and long-term operation and maintenance ledgers for large equipment have large file sizes, adapting to large file upload requirements |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- When configuring tool selection branches, no mutually exclusive conditions are set, resulting in multiple tools executing simultaneously and duplicate retrieval of equipment parameter data. This occurs because trigger conditions are not configured for alternative tool nodes, and the workflow executes all matching branches concurrently by default.
- No document split parsing rules are configured, and the entire due diligence report is parsed directly, resulting in failure to associate and match cross-module equipment numbers. This occurs because the multi-module structure of general equipment reports is not adapted to, and the module-based parsing mode is not enabled.
- The scheduled scheduling node is set to a single cycle, triggering retrieval of both static and dynamic data simultaneously, resulting in invalid resource occupation. This occurs because the update rhythms of static and dynamic data are not differentiated, and multi-cycle trigger rules are not configured.
How to Verify Proper Configuration
- Manually trigger the workflow once, check if the parsed documents are split by module, and whether equipment numbers remain consistent across all modules.
- Review the branch configuration of tool selection nodes, confirm that corresponding tools execute only when their matching trigger conditions are met, with no concurrent execution.
- Check the unit verification logs, confirm that all parameter units comply with preset standard rules, with no abnormally formatted units.
- Simulate trigger scenarios such as equipment filing or operation data updates, confirm that the workflow executes only when the corresponding event occurs, with no invalid triggers.
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.