What the data for this category looks like
Environmental monitoring intelligent due diligence report data primarily comes from official environmental monitoring stations, online sensors deployed by enterprises, and third-party compliant testing institutions. Update frequency varies by data type: online sensor data is minute-level to hour-level, public data from official stations is mostly updated daily, and annual compliance reports are updated quarterly or annually. Documents are divided into two categories: original monitoring logs (containing timestamps, point numbers, and pollutant concentration values) and summarized due diligence reports (containing point details, non-compliance records, and compliance conclusions). Core fields include real-time concentration values of pollutants such as PM2.5, SO₂, and NOₓ, with units of μg/m³, and national standard compliance threshold parameters.
Constraints imposed on multi-turn dialogue and prompt engineering
Real-time updated monitoring data requires multi-turn dialogue to recall the latest knowledge base entries in real time, and avoid using outdated data to generate conclusions. Multiple fields and clear compliance thresholds require prompts to accurately bind parameters to corresponding national standard limits, preventing confusion between judgment standards for different pollutants. The two document structures require multi-turn dialogue to first identify the user’s demand type, and match the processing logic for raw data queries or compliance analysis respectively. Decentralized point data requires adding point filtering conditions in the multi-turn dialogue flow to narrow the recall scope and improve accuracy.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | A single environmental monitoring due diligence report has lengthy content, so sufficient context must be retained to support multi-turn follow-up questions and context association |
recallCount | Top 8–12 entries | Monitoring data includes multiple types of pollutants and point information, so enough entries must be recalled to cover the professional parameters in user queries |
similarityThreshold | 0.75–0.85 | There are many professional terms in the monitoring field, so balance must be struck between recall accuracy and coverage of different points and parameters |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume original monitoring log files takes a long time, so extend the timeout period to avoid interruptions |
segmentMaxLength | 800–1000 characters | Must fully retain the associated information between pollutant concentrations and corresponding compliance thresholds, to avoid truncating key content during segmentation |
defaultUserQuery | Preset based on common questions for environmental monitoring due diligence | Adapt to initial user query needs and quickly load the initial scenario of due diligence analysis |
The parameter values provided on this page are conventional recommendations used as a starting point 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 errors
- Phenomenon: An error occurs when the dialogue calls the associated knowledge base, and no abnormality is detected during the preview stage. Cause: The multi-turn dialogue does not limit the length of historical context, exceeding the character limit set by the
maxContextconfiguration. - Phenomenon: After uploading an environmental monitoring raw data file, the dialogue box fails to parse the file, and no error logs are displayed in the background. Cause: The
PARSE_FILE_MAX_SIZEparameter is not adjusted to adapt to large-volume sensor logs, or the file encoding does not meet system requirements. - Phenomenon: After copying the due diligence report generated by multi-turn dialogue to an external communication tool, formats such as tables and paragraphs are lost. Cause: The prompt does not explicitly require retaining Markdown format, and relevant parameters for output format are not configured.
How to confirm the configuration is properly set
- Access the knowledge base configuration page, and verify that the values of core parameters match the volume and professional requirements of the current environmental monitoring data.
- Upload a typical environmental monitoring raw log file, and confirm that the parsing progress is normal with no abnormal prompts.
- Initiate a multi-turn dialogue, first query the pollutant concentration of a single monitoring point, then follow up with a query about the compliance of that point, and confirm that context association functions correctly.
- Copy the due diligence report content generated by the dialogue, paste it into a text editor, and confirm that all format markers are fully retained.
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.