What data in this category looks like
Environmental monitoring data sources include real-time data from automatic monitoring stations, patrol records from mobile monitoring vehicles, satellite remote sensing monitoring bulletins, manual site sampling reports, and more. Automatic monitoring data updates at a minute-level frequency, while manual reports are updated weekly or monthly. Document types include Excel/CSV raw data with fixed headers, formatted PDF monitoring reports, and Word reports mixing data and analytical text. Core fields include monitoring site numbers, pollutant concentrations (such as PM2.5, SO₂), corresponding timestamps, and equipment operating status. Units mostly use legal metrology identifiers like μg/m³, ℃, %, and similar. Some cross-regional comparison documents include cross-site horizontal comparison tables.
What constraints do these characteristics impose on the document parsing and chunking workflow
Minute-level automatic monitoring data generates high-frequency, small-volume documents, which can occupy excessive system resources during batch uploads. Manual report table formats are inconsistent, with merged cells, hidden columns, and similar issues, which easily lead to incorrect field extraction. Environmental monitoring data units are strongly bound to fields, and metadata must be retained during parsing; otherwise, concentration values and units will mismatch. Large-volume quarterly monitoring reports have large single-file sizes. Overly long chunks introduce irrelevant context, while overly short chunks destroy time-series analysis logic.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Quarterly environmental monitoring single Excel reports typically do not exceed 200 MB. 500 MB reserves redundant space to avoid parsing failures for large files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | When batch processing 10 or more monitoring reports, single-file parsing time usually stays within 300 seconds. 600 seconds covers abnormal time-consuming scenarios |
chunk_size | 800–1200 characters | The length of a single valid piece of environmental monitoring information (single site single-day data + brief analysis) is mostly within 800 characters. This range balances context completeness and recall accuracy |
chunk_overlap | 100–150 characters | Monitoring data has strong time-series relevance. The overlapping portion ensures consistent time logic across chunks and prevents loss of key associated information |
PARSE_TABLE_STRATEGY | Retain original cell format + extract field metadata | Environmental monitoring tables contain key metadata such as site numbers, concentrations, and units. Retaining format avoids field confusion and ensures correct matching between values and units |
BATCH_PARSE_MAX_TASKS | 3–5 | Single-node resources are limited during batch uploads. Excessively high concurrency will cause container memory overflow and lead to parsing interruptions |
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 case-by-case analysis. It is recommended to test on local samples before finalizing settings.
Three common configuration mistakes
- Content is not read after uploading an Excel file, and no background error is displayed. The Excel file parsing switch is not enabled, or
UPLOAD_FILE_MAX_SIZEis set smaller than the actual file size. - The model fails to answer questions based on document content. Chunk length is set too large, causing key monitoring data to be truncated, or
chunk_overlapis insufficient, leading to loss of time-series associated information. - Batch uploading large volumes of documents in the 4.9.2 open-source version interrupts midway, and restarting fails to resume parsing.
BATCH_PARSE_MAX_TASKSis set too high, occupying excessive system resources, orPARSE_FILE_TIMEOUT_SECONDSis set too short, forcing termination of long-time-consuming report parsing.
How to confirm the configuration is correct
- Upload a single standard environmental monitoring Excel report, check the background parsing logs, confirm all fields are correctly extracted, with no empty fields or format errors.
- Generate test questions and answers after adjusting chunk parameters, verify that the model can accurately return concentration data for specified monitoring sites, and confirm that context association is correct.
- Upload 3 or more batch documents at the same time, observe system status, confirm no container memory overflow or parsing timeout errors occur.
- Upload monitoring data containing different units, confirm that unit fields are fully retained after parsing, with no mismatches between values and units.
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.