What the data for this category looks like
Wind power investment research data sources include wind turbine SCADA operation logs, project feasibility study reports, turbine manufacturer technical manuals, grid connection dispatch documents, industry policy texts, and more. Update rhythms vary significantly. SCADA operation logs update hourly or minute-by-minute. Feasibility study reports update alongside project approval and progress adjustments. Manufacturer technical manuals update irregularly with turbine model iterations. Policy texts are released alongside industry specification adjustments. Document structures include structured time-series data (with fields such as turbine ID, operating power, wind speed), semi-structured reports (divided into sections like project overview, turbine parameters, grid connection conditions), and unstructured policy texts. Field units include professional units such as megawatts, meters per second, meters, kilovolts, and more.
Constraints on retrieval and recall from these data characteristics
The multi-type data and varied update rhythms of wind power data create multiple constraints for the retrieval and recall process. Structured time-series data requires precise field filtering, and cannot rely solely on full-text search matching. Data sources with different update frequencies need adapted synchronization strategies. Real-time operation data requires incremental updates. Static policy documents require regular full synchronization. Mixed document structures require separate parsing. Time-series data must retain field metadata. Long documents need reasonable splitting to preserve context. The presence of professional fields and units requires matching field identifiers during retrieval, to avoid invalid recall caused by unit confusion.
Configuration settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxRetrieve | 10-15 results | Wind power investment research data covers multiple categories including turbine parameters, project feasibility studies, operation logs, and more. 10-15 results can cover core retrieval needs and avoid interference from redundant results |
similarityThreshold | 0.72-0.85 | Wind power has many professional terms with high distinctiveness. A threshold that is too low will include unrelated industry content. A threshold that is too high will miss accurately matched technical parameter documents |
chunkSize | 800-1200 characters | Sections of wind power feasibility study reports and technical manuals are lengthy. This chunking length preserves parameter context and avoids breaking technical logic during splitting |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large SCADA time-series data files and batch project reports takes significant time. 300 seconds covers most large file parsing requirements |
enableFieldFilter | Enabled | Wind power data includes clear fields such as turbine ID, grid connection voltage, tower height. Enabling this allows precise narrowing of recall scope by field |
incrementalSyncInterval | 1 hour | SCADA operation data updates hourly. 1 hour incremental synchronization ensures real-time availability of retrieved data |
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 issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- When searching for wind power professional terms that exactly match existing knowledge base chunks, no recall results appear. Normal recall works after creating a new knowledge base with the same name. The root cause is that the vector database index of the original knowledge base was not correctly refreshed, or the field metadata configuration does not match the current retrieval request.
- Search results include unrelated non-wind power electrical content. The cause is that the
enableFieldFilterconfiguration is not enabled, or thesimilarityThresholdis set too low, leading to recall of unrelated industry texts. - After enabling field filter retrieval, the search result set is empty. The cause is incorrect field name configuration. For example, using "grid voltage" instead of "grid connection voltage" leads to failure to match field metadata.
How to verify correct configuration
- Upload a wind power SCADA data file, check if the parsed chunks retain core business fields, and confirm that the
chunkSizeconfiguration adapts to document length requirements. - Enter a search term that includes professional terms and clear fields, verify the number of recall results and similarity distribution, and confirm that the
maxRetrieveandsimilarityThresholdsettings meet retrieval needs. - Manually trigger an incremental synchronization, check the success markers in the synchronization log, and confirm that the
incrementalSyncIntervalandPARSE_FILE_TIMEOUT_SECONDSconfigurations adapt to the data update rhythm. - Enable field filter retrieval, enter a search term with a specified field, verify that results only include content matching the specified field, and confirm that the
enableFieldFilterconfiguration is active.
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.