What This Type of Data Looks Like
Wind power investment research data mainly comes from public industry association reports, technical white papers from original equipment manufacturers, wind farm operation logs, power dispatch documents, bidding announcements, and meteorological observation data. Update frequencies vary by document type: industry reports are updated quarterly or semi-annually, wind farm operation logs are generated in real time, and bidding announcements are updated as projects progress. Document structures include long technical reports with embedded charts and parameter tables, structured bidding lists with fields such as equipment model and rated power, and scattered operation log snippets. Field units include megawatts (MW), kilowatts (kW), meters (m), meters per second (m/s), and dimensionless turbulence intensity values.
Constraints on Parsing and Chunking
Wind power investment research documents contain a large number of professional charts and structured parameters. The parsing process must fully extract chart text and table fields, otherwise key investment research information will be lost. Document structures vary significantly. Long reports require avoiding chunking that breaks parameter associations. Structured lists require preserving field integrity. Real-time operation logs have high update frequencies, so bulk parsing support and large file processing adaptation are needed. Professional parameters are tightly bound to their units and meanings. Chunking must ensure adjacent chunks cover complete parameter combinations to avoid parameter misalignment in investment research analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_ENABLE_IMAGE | Enabled | Wind power investment research documents often contain charts such as wind turbine layouts and wind speed curves. Image content must be extracted for large model understanding |
PARSE_CHUNK_SIZE | 800–1200 characters | Wind power professional documents have dense parameters. Chunks that are too long will break parameter associations, while chunks that are too short will increase context redundancy |
PARSE_CHUNK_OVERLAP | 100–150 characters | Ensures key information such as wind power equipment models and operating parameters is continuous across adjacent chunks |
UPLOAD_FILE_MAX_SIZE | 500 MB | Wind power industry reports often contain a large number of high-definition charts, requiring support for large-file bulk parsing |
PARSE_HTTP_TIMEOUT | 120 seconds | Prevents parsing interruptions due to timeouts when parsing large wind power bidding or operation log documents |
PARSE_STRUCTURED_TABLE | Enabled | Wind power documents often contain structured parameter tables. Enabling this option preserves the integrity of table fields and units |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Easy-to-Make Mistakes
- Symptom: Parsing fails when using a Yuque public share link as a data source, returning "Unrecognized data source type". Cause: The link was not confirmed to be publicly accessible without access restrictions, and the whitelist configuration for corresponding web parsing was not enabled.
- Symptom: Parsed chunks do not include text content from embedded wind speed curves or wind turbine layout charts, so the large model cannot access professional parameters in the charts. Cause: The
PARSE_ENABLE_IMAGEconfiguration was not enabled, or the image OCR recognition accuracy parameter was not configured. - Symptom: Timeout errors occur during bulk parsing of wind power operation logs, returning status code
504. Cause: ThePARSE_HTTP_TIMEOUTsetting is too short, failing to adapt to the parsing duration of large log documents.
How to Confirm Configuration Is Set Correctly
- Upload a wind power industry technical white paper, check if the parsing result includes all text extracted from embedded charts, to confirm the configuration items are effective.
- Select a document segment containing wind power professional parameters, review the chunking result to confirm that the continuous association of parameters is preserved, matching the document characteristics.
- Upload different types of wind power documents, verify that the parsing function can adapt to data sources with different structures, confirming the configuration's versatility.
- Test bulk uploading multiple wind power documents, check that parsing tasks complete normally, confirming that file size and timeout configurations meet business requirements.
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.