What Data for This Category Looks Like
Construction machinery due diligence-related data comes primarily from four sources: factory qualification certificates, monthly operation and maintenance logs, quarterly third-party inspection reports, and equipment leasing ledgers. Updates follow monthly or quarterly cycles. Most documents are multi-page PDFs containing structured tables and plain text descriptions. Core fields include equipment ID, rated lifting capacity (unit: ton), cumulative operating hours (unit: hour), last maintenance date, fault codes and corresponding maintenance records. Some documents also include equipment condition curve images.
Constraints Imposed on Workflow Orchestration
Construction machinery due diligence documents often include structured tables and multi-source linked data, so workflows must support table field extraction and cross-document linked queries. Data is stored categorized by unique device identifiers, so workflows must support dynamic binding of device variables to match dedicated knowledge bases. Long documents and multi-file due diligence materials increase parsing and context processing load, so reasonable timeout and context length parameters must be configured. Document formats vary across different devices, so multiple PDF parsing rules must be supported.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Construction machinery due diligence documents often contain structured tabular data such as rated lifting capacity and operating hours, requiring extraction of core fields for report generation |
UPLOAD_FILE_MAX_SIZE | 200 MB | The complete due diligence document collection for a single device typically does not exceed this size, preventing upload timeouts |
knowledgeSearch | Dynamically bind corresponding knowledge base by equipment ID | Each device has dedicated operation and maintenance archives; dynamic value passing avoids retrieving irrelevant data across devices |
maxContext | 12000 characters | The complete due diligence data length for a single device typically falls within this range, covering core analysis content while preventing context overflow |
RECALL_TOP_K | Top 8 entries | Construction machinery due diligence requires coverage of three core data types: operating conditions, maintenance, and faults. Retrieving too many entries increases context redundancy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Sufficient time is required for table extraction and text splitting of long PDF documents, preventing mid-parsing interruptions |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and testing on local samples is recommended before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After configuring
knowledgeSearchto dynamically bind equipment IDs, the AI response does not retrieve corresponding documents. Cause: The equipment ID is not used as a knowledge base classification tag, or the passed variable does not match the knowledge base's classification field. - Phenomenon: After uploading construction machinery documents, the parsing status shows a failure. Cause: The
PARSE_TABLE_ENABLEparameter is not enabled, causing documents containing structured tables to fail correct parsing. - Phenomenon: The generated due diligence report cannot generate a download link. Cause: No file export node is added at the end of the workflow, or the export format is not specified as
docx.
How to Verify Proper Configuration
- Upload the complete due diligence documents for a single device, and check if core fields such as rated lifting capacity and operating hours are extracted in the parsing results.
- Enter the equipment ID as a query condition, and verify that knowledge base retrieval results only include documents related to that device.
- Trigger workflow execution, and review running logs for no timeout errors and active
PARSE_TABLE_ENABLEparameter. - After workflow execution, check if the interface generates a downloadable docx format file link.
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.