What the data for this category looks like
Data for environmental monitoring intelligent due diligence reports primarily comes from automatic monitoring stations, mobile monitoring equipment, satellite remote sensing collection, and original logs submitted by enterprises. Update frequencies include real-time, hourly, daily, and monthly summaries. Document formats include structured raw Excel data, monthly quality control reports in PDF, and API-pushed data in JSON. Core fields include monitoring point number, pollutant concentration (unit: μg/m³), monitoring timestamp, equipment calibration status, and quality control thresholds. Some documents include batch monitoring records for multiple points.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Multi-source and heterogeneous document formats require the parsing module to adapt to Excel files with multiple worksheets, nested PDF tables, and structured API data. High-frequency real-time data requires incremental parsing to avoid reprocessing full historical records. Batch monitoring records within a single document require chunking by monitoring point or timestamp to prevent cross-record context confusion. Units of core fields (such as μg/m³, m³/h) must be extracted in association with their corresponding monitoring values. Losing metadata associations during chunking will reduce the accuracy of subsequent due diligence analysis.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Environmental monitoring reports often contain multi-page PDFs or raw Excel data with tens of thousands of rows, so this range accommodates full parsing durations for large-volume documents |
maxChunkSize | 800–1200 characters | The core information length of complete monitoring periods for a single point is moderate. This range preserves complete context and avoids splitting and breaking quality control-related fields |
ENABLE_PDF_OCR | Enabled | Some PDFs generated by scanning paper monitoring equipment reports are image-only formats, so OCR is required to extract structured monitoring data |
CHUNK_OVERLAP_RATE | 10%–15% | Environmental monitoring data has strong time-series correlation. Overlapping chunks preserve the monitoring logic of adjacent periods and improve subsequent retrieval coherence |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Monthly batch monitoring summary files have large volumes, so increasing the single-file upload upper limit supports complete report imports |
PARSE_STRUCTURED_EXCEL | Enabled | Most environmental monitoring raw data is in structured Excel format. Enabling this allows automatic recognition of worksheets and headers, reducing manual configuration costs |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: An
OCR Errorprompt is returned when parsing PDFs generated from image-based paper monitoring reports. Cause: TheENABLE_PDF_OCRconfiguration is not enabled, or the scanned file has insufficient resolution leading to failed text recognition. - Issue: In a private deployment environment, parsing a large monthly monitoring report returns a timeout error, but the parsing service log shows the task completed successfully. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is set too short to match the actual processing duration of large-volume documents. - Issue: After uploading an environmental monitoring report in simple mode, the parsing process is not automatically triggered. Cause: The global automatic parsing configuration is not enabled, or the currently used model is not authorized to handle file parsing tasks.
How to Verify Correct Configuration
- Upload a small structured Excel monitoring report, and verify that the parsed chunks retain complete associated information of monitoring points, pollutant concentrations, and their corresponding units.
- Upload a PDF monitoring report generated by scanning, and confirm that the parsed result has no missing text, with table content matching the original file.
- View the platform's parsing service logs to confirm that the actual effective values of configuration items match the preset values.
- Upload a batch monitoring data file, and confirm that the chunking logic splits content by monitoring point or time dimension, with no cross-record context confusion.
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.