What the Data for This Category Looks Like
Data sources for wind power intelligent due diligence reports primarily include wind turbine manufacturer factory inspection reports, wind farm operation and maintenance logs, grid connection data, and meteorological department wind speed and direction records. Update frequencies vary: operation and maintenance logs update daily, factory reports are one-time archived files, and grid connection data syncs monthly. Most documents are multi-page PDFs, with structures containing modules such as basic device information, operation parameter logs, operation and maintenance records, and grid acceptance reports. Core fields include turbine serial number, rated power, monthly power generation, and operation duration. Units include kilowatt (kW), meters per second (m/s), megawatt-hour (MWh), and others.
Constraints Imposed on Citation and Traceability Workflows
The multi-source dispersion, varied update rhythms, and specialized field requirements of wind power due diligence data create multiple constraints for the citation and traceability process. Multi-source data must link to different knowledge bases to avoid cross confusion in retrieved content. Different update frequencies require differentiated synchronization strategies: ensure high-frequency updated operation and maintenance logs sync promptly, and low-frequency grid data updates as needed. After splitting long documents, professional units and field associations must be retained, otherwise traceable content cannot accurately correspond to specific turbine operation data. At the same time, core citations for wind power due diligence must pinpoint specific records for a single device, so retrieval scope must be controlled to avoid redundant information interference.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
Knowledge Base Associated Recall Count | 3–5 entries | Wind power due diligence data blocks are numerous and dispersed. A small number of precise recalls avoids redundancy while covering core data sources |
Chunk size | 1000–1200 characters | Wind power due diligence documents contain long sections of operation and maintenance logs and grid data. This length preserves complete parameter context and prevents loss of unit and field associations during splitting |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single wind power due diligence PDF may contain multiple pages of device logs. Parsing takes a long time, and this duration prevents parsing timeouts |
Similarity threshold | 0.75–0.85 | Wind power data fields are highly specialized. A higher threshold filters irrelevant operation and maintenance records, ensuring retrieved content is strongly correlated with due diligence queries |
Incremental sync interval | Once daily | Operation and maintenance logs update daily, grid data syncs monthly. Daily incremental updates cover high-frequency updated data while reducing repeated parsing |
Recall Rerank Count | Top 3 entries | Core wind power due diligence data is concentrated in 3 or fewer source files. Rearranging prioritizes the most relevant traceable content |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific situations require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Knowledge base variable references return empty values. Cause: Data sources such as wind power operation and maintenance logs and grid connection data have not been added to the associated knowledge base, or the configured recall count is too low to cover target data blocks.
- Symptom: Parsed document blocks lose unit information. Cause: The
Chunk sizesetting is too short, truncating the trailing content of fields containing units during splitting. - Symptom: Disk usage continues to grow after incremental synchronization. Cause: No automatic old block cleanup rule has been configured. Repeatedly parsed wind power document blocks are not automatically deleted, leading to continuous accumulation of original files, split blocks, and embedded vectors.
How to Verify Successful Configuration
- Upload a wind power due diligence PDF document, verify that the parsed text blocks retain complete turbine serial number, rated power, and corresponding unit information.
- Initiate a query related to wind power due diligence, verify that the returned results attach the source document's file name, page number, or specific field identifier.
- View the knowledge base's incremental synchronization logs, verify that daily updated operation and maintenance log files are correctly triggered for synchronization, and no timeout errors occur.
- Check the knowledge base's storage statistics, verify that the old block automatic cleanup rule has been configured, and the number of split blocks and embedded vectors does not grow indefinitely over time.
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.