What data for this category looks like
The data for wind power intelligent due diligence reports mainly comes from fan equipment factory inspection documents, on-site operation and maintenance logs, grid connection acceptance reports, and defect investigation documents issued by third-party testing institutions. The data update rhythm varies by document type: monthly operation and maintenance logs are updated monthly, annual project due diligence reports are updated according to project cycles, and single re-inspection reports are generated after project spot checks. Most documents include fixed-format structured tables and semi-structured descriptive paragraphs. Core fields include fan number, tower height, blade length, inspection date, defect level, and others. Exclusive units follow industry standard units for power equipment, such as kilowatt (kW), revolutions per minute (rpm), and meter (m).
Constraints on document parsing and chunking
The multi-source nature of wind power due diligence data leads to mixed document formats. Some documents are plain text operation logs, while others are acceptance reports with embedded tables. Parsing workflows must balance the integrity of structured fields and the coherence of semi-text content. The strong association between exclusive units and their associated fields means parameter descriptions containing units cannot be split arbitrarily during chunking. Doing so will separate units and their corresponding values during subsequent retrieval. Long annual reports have a large number of pages, with cross-page tables and equipment information. Chunking logic must support cross-page content splicing to avoid splitting complete single-fan inspection records into multiple independent chunks. The high-frequency updates of short monthly logs require parsing processes to have lightweight processing capabilities to avoid excessive single-parsing durations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Wind power due diligence documents contain multiple sets of structured inspection data and semi-structured descriptions. This range can retain complete associated information for single-fan inspection records |
chunkOverlap | 100–150 characters | Cross-chunk device numbers and inspection date fields exist in wind power documents. Overlap preserves contextual association |
PARSE_EXCEL_ENABLE | Enabled | Most operation and maintenance logs and grid connection data for wind power due diligence are submitted in Excel format. Table fields and cell associations must be retained |
PARSE_IMAGE_ENABLE | Enabled | Some wind power inspection reports include on-site defect photos. Text annotations in images must be parsed |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual wind power project due diligence reports may include multiple batches of inspection data, resulting in large single-file sizes |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large-volume Excel or multi-page PDF reports takes a long time. This setting avoids timeout interruptions |
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
- Symptom: After uploading an Excel file, the parsing result only displays the header row with no table content. Cause: The
PARSE_EXCEL_ENABLEconfiguration item is not enabled, so Excel tables are not correctly identified and parsed. - Symptom: Post-parsing chunking results split the complete inspection record of a single fan. Cause: The
maxChunkSizevalue is too small, splitting complete paragraphs containing device numbers and defect descriptions into multiple chunks and losing contextual association. - Symptom: When parsing a PDF report with on-site photos, image text is not extracted. Cause: The
PARSE_IMAGE_ENABLEconfiguration is not enabled, or basic parameters for image parsing are not configured.
How to Verify Correct Configuration
- Upload a monthly inspection report for a single fan, review the post-parsing chunking results, and confirm that core fields are not split across different chunks.
- Upload an Excel due diligence file containing tables, confirm that the parsing result retains the row and column structure and field correspondence of the original table.
- Upload a PDF report with defect photos, confirm that the parsing result includes text annotations from the images.
- Upload a large-volume annual due diligence report, confirm that the parsing task does not generate timeout errors and fully covers all document content.
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.