Data Characteristics of This Category
Air pollution control investment research draws data from multiple sources: real-time data collected by environmental monitoring stations, meteorological satellite remote sensing images, corporate emission ledgers, industry emission standard documents, environmental impact assessment approval documents, and more. Update frequencies cover real-time (pollutant concentration data), daily (meteorological diffusion data), quarterly (industry emission reduction reports), and annual (governance effectiveness assessment documents).
Document structures include structured fields such as monitoring site latitude and longitude, pollutant type, concentration value, and collection time, as well as unstructured content like policy texts and project plans. Common field units include μg/m³, mg/m³, tons/year, cubic meters per second, and similar units.
Constraints for Citation Source and Traceability Workflows
Multi-source heterogeneous data structures require traceability systems to support both field-level traceability for structured data and file-level traceability for unstructured documents. Real-time updated monitoring data requires traceability information to be bound to precise collection timestamps, to avoid confusion between emission data from different time periods. Specific fields and units require unit consistency verification during traceability, to prevent mixing pollutant concentration data from different standards. Long policy and plan documents require retention of contextual associations during segment parsing, to ensure logical correspondence between traced content and original documents.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8 entries | Air pollution control monitoring data has a small single-collection volume per site, so sufficient recall entries are needed to cover multi-dimensional pollutant indicators and associated policies |
similarity_threshold | 0.72–0.78 | Air pollution control terminology is highly specialized. A threshold that is too low will introduce irrelevant environmental policy documents, while a threshold that is too high will miss monitoring data and governance plans from the same field |
source_trace_field | pollutant_type,collect_time,monitoring_point | Bind traceability information using core fields of air pollution control data, ensuring that the collection subject, time, and pollutant type of each recalled entry can be traced |
parse_chunk_size | 1000–1200 characters | Emission standard documents for air pollution control have long paragraphs. Excessively large chunks will cause contextual breaks, while excessively small chunks will split associated content from the same governance plan |
file_upload_max_size | 2000 MB | Support batch upload of annual emission ledger CSV packages and large environmental impact assessment report PDFs, adapting to industry requirements for bulk data import |
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 targeted analysis, and testing against local samples is recommended before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Recall results only display citation identifiers without corresponding content text. Cause: The
source_trace_fieldis not configured to bind core metadata fields of air pollution control data, resulting in no traceability information that can associate parsed content being generated. - Phenomenon: A
400 Bad Requesterror is returned when executing associated steps after referencing the knowledge base plugin in a workflow. Cause: Standardized fields of air pollution control ledgers are not mapped to workflow parameters, resulting in missing necessary traceability association information during invocation. - Phenomenon: Knowledge base capacity statistics deviate from the actual number of uploaded documents. Cause: The
file_size_trackingparameter is not enabled, and capacity statistics are not performed for structured CSV-format air pollution control ledgers.
How to Verify Proper Configuration
- Upload a standardized air pollution control monitoring site CSV file, view the parsed metadata panel, and confirm that the
pollutant_type,collect_time, andmonitoring_pointfields have been automatically extracted and associated with traceability information. - Initiate an investment research query containing "PM2.5 emission reduction measures", view the reference column of returned results, and confirm that each recalled entry displays the corresponding monitoring site, collection time, and pollutant type.
- Adjust
similarity_thresholdto 0.75, initiate two queries, verify the difference in the number of recalled entries under low and high thresholds respectively, and confirm that the configuration takes effect. - Upload a 1.8GB annual emission ledger compressed package, verify that the upload progress is normal, and that the knowledge base capacity statistics panel displays accurate occupied capacity.
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.