What the Data for This Category Looks Like
Air governance-related data primarily comes from ecological environment monitoring stations, enterprise self-reported pollution discharge systems, third-party testing institution reports, and satellite remote sensing imagery. Monitoring station data updates hourly or daily. Enterprise-reported data typically follows monthly or quarterly cycles. Third-party testing reports are updated upon project completion or during regular spot checks. Document fields include monitoring point number, pollutant concentration, emission limit, detection time, associated enterprise information, and more. Concentration units are mostly μg/m³, emission units are mostly tons/year, and some satellite imagery data includes spatial coordinate metadata.
Constraints on Citation Sources and Traceability
The multi-source nature and varying update cycles require the traceability process to clearly distinguish valid periods for real-time monitoring data and historical reports. This prevents the use of expired enterprise-reported data. The multiple fields and specialized units require traceability to match field names and units to standard formats. This avoids confusion over concentration units. Diverse document types require parsing rules to adapt to different data source formats. For example, extract fields row-by-row for tabular testing reports, and associate spatial coordinate information for satellite imagery. The need to correlate cross-regional air governance data requires traceability to bind point, enterprise, and time information simultaneously. Relying solely on filenames cannot complete full traceability.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
recall count | Top 6-10 entries | Air governance data has high information density per entry. Too many recalled entries will cause redundant context; too few will fail to cover complete argumentation logic |
similarity threshold | 0.75-0.85 | Professional data requires high matching precision. Filter out low-correlation non-industry data to avoid invalid citations |
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Parsing large satellite imagery or bulk regional monitoring datasets takes longer. Extend the timeout to ensure complete parsing |
chunk_overlap_ratio | 0.15-0.25 | Air governance data has strong inter-field correlation. Appropriate overlap preserves cross-field contextual connections and improves citation accuracy |
reference_display_mode | Group by source type | Differentiate between monitoring data, testing reports, satellite imagery, and other sources to facilitate subsequent manual verification and traceability |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bulk uploaded regional monitoring dataset files have large sizes. Adjust the upload limit to support complete data import |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- A
quote type erroris thrown. The cause is that the referenced field was not declared in the preset format. Air governance data includes specialized units and field names. Mismatch with the system's required variable format causes verification failure. - Only a single cited entry is returned. The cause is that multi-citation recall rules were not configured. Air governance due diligence reports often require correlation of data from multiple points or time periods. A single citation cannot cover complete argumentation logic.
- Citation traceability does not include data update time. The cause is that metadata extraction configuration was not enabled. This ignores the highly time-sensitive nature of air governance data, and the valid period of cited content cannot be demonstrated.
How to Verify Correct Configuration
- Upload a single typical air governance testing report. Verify that parsed fields fully extract core information including pollutant concentration, detection time, and testing institution.
- Initiate a query containing professional terminology. Confirm that the number of returned citations falls within the preset 6-10 range.
- Review the citation source display area. Confirm that different types of data sources are grouped in accordance with configured rules.
- Upload a single large-volume satellite imagery dataset. Verify that the parsing process does not trigger a timeout error.
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.