What the data for this category looks like
Environmental monitoring data originates from fixed pollution source online monitoring equipment, mobile monitoring vehicle sensors, electronic reports from third-party compliant testing institutions, and internal environmental operation and maintenance logs of enterprises. Data updates follow multiple schedules: monitoring devices push real-time sensor data every minute, batch test reports update after project completion, and daily inspections add entries to operation and maintenance logs. A single standard document includes fields such as monitoring point code, monitoring timestamp, pollutant type (e.g., PM2.5, nitrogen oxides), concentration value, legal unit of measurement (μg/m³, mg/m³), compliance judgment result, and associated monitoring instrument serial number. This data also serves as a core material source for financial institutions’ green credit and environmental insurance marketing content.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The minute-by-minute update of real-time sensor data requires limiting the retrieval recall time window to a reasonable interval to avoid returning outdated monitoring results. Structured data with multiple fields requires matching precise fields such as point codes and pollutant types during retrieval to prevent irrelevant results from being included. Differences in units across different documents require verifying the binding relationship between concentration values and their corresponding legal units during the recall link, to avoid incorrect matching caused by unit confusion. Unstructured test reports require a combination of semantic retrieval and structured field retrieval to cover marketing material needs in different formats. These constraints also align with the needs of generating compliant customer acquisition content using real-time monitoring data in financial marketing scenarios.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall_count | 6–10 results | Single environmental monitoring data has large information volume; too many entries will exceed the context window limit |
similarity_threshold | 0.72–0.85 | Filter results with low matching accuracy for non-target monitoring points and pollutant types |
maxContext | 8000–12000 characters | Adapt to the long text characteristics of environmental monitoring documents, accommodate the splicing of multiple sets of structured data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch compliant test reports take a long time to parse, avoid mid-task interruptions |
structured_field_matching_weight | 0.55–0.65 | Increase the matching priority of precise fields such as monitoring point codes and pollutant types |
recall_time_range | 1–24 hours | Match the update rhythm of real-time sensor data, avoid returning outdated content |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- The generated response contains
[Knowledge Base Retrieval]tags or raw document citation blocks. This occurs because the citation output switch in the workflow is not turned off, or the corresponding parameter to disable citation display is not configured. - The recall results include historical monitoring data beyond the preset time range. This occurs because the
recall_time_rangeconfiguration value is set too large, failing to match the update rhythm of real-time sensor data. - The retrieval results include concentration values with mismatched units. This occurs because the unit verification configuration for structured fields is not enabled, causing semantic matching to ignore the binding relationship of unit fields.
How to Verify Proper Configuration
- Upload a single environmental monitoring report, check if the parsed fields include preset fields such as monitoring point code, pollutant type, concentration unit, etc., to confirm the parsing configuration is correct.
- Initiate a test retrieval, enter a query containing the target point and pollutant, verify that the time range of the recall results meets the preset requirements.
- Check the workflow output node configuration, confirm that the citation display option is not checked, and verify that the generated response has no knowledge base-related tags or raw document fragments.
- Simulate batch data upload, check the status of parsing tasks, confirm that no parsing failures occur due to insufficient configured 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.